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Hydrology and geochemistry of aquifer and stream contamination related to acidic water in Pinal Creek basin near Globe, Arizona

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Hydrology and Geochemistry of Aquifer and Stream Contamination Related to Acidic Water in Final Creek Basin Near Globe, Arizona United States Geological Survey Water-Supply Paper 2466

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Hydrology and Geochemistry of Aquifer and Stream Contamination Related to Acidic Water in Final Creek Basin Near Globe, Arizona Edited by JAMES G. BROWN and BARBARA FAVOR U.S. GEOLOGICAL SURVEY WATER-SUPPLY PAPER 2466

U.S. DEPARTMENT OF THE INTERIOR BRUCE BABBITT, Secretary U.S. GEOLOGICAL SURVEY Gordon P. Eaton, Director Any use of trade, product, or firm names in this publication is for descriptive purposes only and does not imply endorsement by the U.S. Government. UNITED STATES GOVERNMENT PRINTING OFFICE, WASHINGTON : 1996 For sale by the U.S. Geological Survey Information Services Box 25286, Federal Center Denver, CO 80225 Library of Congress Cataloging In Publication Data Hydrology and geochemistry of aquifer and stream contamination related to acidic water in Final Creek Basin near Globe, Arizona / by James G. Brown and Barbara Favor, editors. p. cm. (U.S. Geological Survey water-supply paper; 2466) Includes bibliographical references. Supt. of Docs. no.: 119.13:2466 1. Acid mine drainage Environmental aspects Arizona Final Creek Watershed. 2. Groundwater Pollution Arizona Final Creek Watershed. 3. Water Pollution Arizona Final Creek Watershed. 4. Copper mines and mining Environmental aspects Arizona Final Creek Watershed. 5. Acid mine drainage Environmental aspects Arizona Globe Region. 6. Groundwater Pollution Arizona Globe Region. 7. Water Pollution Arizona Globe Region. 8. Copper mines and mining Environmental aspects- Arizona Globe Region. I. Brown, James G. (James Gary), 1956- II. Favor, Barbara O. III. Series T0427.A28H93 363.73'942'0979175 dc20 GIF

CONTENTS Chapter A. Research of Acidic Contamination of Ground Water and Surface Water, Final Creek Basin, Arizona, by James G. Brown and James H. Eychaner Abstract Introduction Purpose and Scope Physical Setting and Climate Previous Investigations Acknowledgments Well-Numbering and Naming System Data Collection and Analysis Well-Drilling Program and Data-Collection Network Data-Collection Methodology Analytical Methods and Quality Assurance Geohydrology Deposits of Precambrian to Tertiary Age Deposits of Tertiary and Quaternary Age Basin-Fill Deposits Stream Alluvium Occurrence and Movement of Ground Water Occurrence and Movement of Surface Water Webster Lake Perennial Streamflow Water Chemistry Mining in Pinal Creek Basin History of Mining Sources of Contamination Remedial Action.. Synopsis of Research Elements Chapter B. Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Pinal Creek Basin, Arizona, by Kenneth G. Stollenwerk

IntKxiuction M Description of Plume i Experimental Methods Sampling and Analytical Techniques Column Experiments M Geochemical Modeling Sorption Experimental and Simulated Results Contents

pH Iron Manganese Copper, Cobalt, Nickel, and Zinc Calcium and Sulfate Basin-Fill Experiment Iron and Manganese Copper, Cobalt, Nickel, and Aluminum Conclusions Chapter C. Assessment of Colloidal Transport in Ground Water, Final Creek Basin, Arizona, by Robert W. Puls, Robert M. Powell, and Donald A. Clark Abstract Introduction Acknowledgments Materials and Methods Characterization of Colloids and Aquifer Solids Batch and Column Tests Assessment of Colloidal Transport Adsorption and Desorption Stability and Surface Charge Column Transport Movement of Colloids in Ground Water Summary and Condusions Chapter C. Distribution of Chemical Constituents in Surface Water, Final Creek Basin, Arizona, by James G. Brown and James H. Eychaner Abstract Introduction Webster Lake Ephemeral Streamflow Perennial Streamflow Upstream from Inspiration Dam Final Creek at Mouth Salt River Below Mouth of Final Creek Temporal Changes in Stream Chemistry Final Creek at Inspiration Dam Final Creek at Setka Ranch Simulation of Contaminant Transport Methods Conservative Mixing Model Reaction-Path Model Summary Contents

Chapter £. Manganese and Iron Oxide Deposits and Trace-Metal Associations in Stream Sediments, Final Creek Basin, Arizona, by CarolJ. Lind and John D. Hem Abstract Introduction Methods Precipitation Procedure Mineralogical Determination of Laboratory Precipitates Collection and Preparation of Stream Sediments Determination of the Chemical Composition of Stream Sediments Chemistry of Stream Sediments Major Cation Distribution in Stream Sediments Trace-Metal Distribution in Stream Sediments Mineralogy of Stream Sediments Manganese- and Iron-Oxide Deposition in Stream Sediments Manganese-Oxidation Processes Molar Ratios of Major Cations Manganese Content Mineralogy of Manganese Oxides Correlation of Laboratory Manganese Precipitates With Manganese Precipitates in the Alluvium and Streambed Crust Formation Trace-Metal Associations Summary and Conclusions Selected References FIGURES 1 . 3. Maps showing: Location of study area, Pinal Creek Basin, Arizona Ground-water, surface-water, and precipitation data-collection sites, Pinal Creek Basin, Arizona Aquifer area, alluvial fans, and tributary streams, Pinal Creek Basin, Arizona 4. 5. Graphs showing: Instantaneous discharge and concentrations of dissolved solids and dissolved manganese, Pinal Creek at Inspiration Dam, 1979-91 Ground-water levels and concentrations of iron and sulfate adjacent to Miami Wash 6. Cross section showing distribution of pH in the aquifer 7-14. Graphs showing: Experimental and simulated concentrations of chloride in column effluent Measured and simulated concentrations of chloride at observation points along flow path Experimental and simulated pH of column effluent Measured and simulated pH of ground water and surface water at observation points along flow path Experimental and simulated concentrations of total dissolved iron in column effluent Measured and simulated concentrations of total dissolved iron and measured pH at observation points along flow path Experimental and simulated concentrations of manganese and experimental pH in column effluent Measured and simulated concentrations of manganese and measured pH at observation points along flow path Contents

15-27. Graphs showing: Experimental and simulated concentrations of constituents and experimental pH in column effluent Measured and simulated concentrations of constituents and measured pH along flow path Experimental and simulated concentrations of aluminum and experimental pH in column effluent Measured and simulated concentrations of aluminum and measured pH at observation points along flow path Experimental and simulated concentrations of constituents in column effluent Measured and simulated concentrations of constituents at observation points along flow path Experimental pH in effluent from basin-fill and alluvial columns Experimental concentrations of iron and manganese in basin-fill column effluent Experimental and simulated concentrations of cobalt and nickel and experimental pH in basin-fill column effluent 24. Adsorption and desorption of arsenate Electrophoretic mobility for aquifer solids and iron oxide particles from well 107 Column breakthrough for iron oxide particles Column breakthrough for dissolved and colloidal arsenate transport through aquifer solids from well 107 28. Map showing surface-water data-collection sites in and near Final Creek Basin, Arizona 29-30. Graphs showing: pH, selected dissolved chemical constituents, and discharge, Miami Wash at State Highway 88, 1984-85 Discharge in the perennial reach of Final Creek upstream from Inspiration Dam, March 5-9, 1990 Map showing locations of ground-water and surface-water sites sampled during the solute-transport study, March 1990 32.-40. Graphs showing: pH and concentrations of dissolved chemical constituents in surface water and ground water upstream from Inspiration Dam, March 1990 Total and dissolved manganese concentrations at discharges below 11.3 cubic meters per second, Salt River near Roosevelt Discharge and concentrations of dissolved copper, alkalinity, and sodium, Final Creek at Inspiration Dam Discharge, pH, and dissolved chemical constituents, Final Creek at Setka Ranch pH and concentrations of dissolved nickel, manganese, and alkalinity in water from well 503 Diurnal variation of temperature and concentration of dissolved oxygen, Final Creek Measured and simulated concentrations of dissolved sodium, chloride, and silica in surface water and ground water upstream from Inspiration Dam Measured and simulated pH and concentrations of dissolved chemical constituents in surface water and ground water upstream from Inspiration Dam Results of sequential extractions of selected sediments TABLES Observation well construction data, Final Creek Basin, Arizona Chemical analyses of native water, Final Creek Basin, Arizona Chemical analyses of contaminated water, Final Creek Basin, Arizona Elevation and volume of Webster Lake, Arizona, 1966-88 Range in concentration of constituents in uncontaminated and acidic ground water and neutralized surface water, Final Creek, Arizona Speciation of selected constituents in ground-water and surface-water samples, Final Creek, Arizona Sorption parameters for the diffuse-layer model, Final Creek, Arizona Hydrogen-ion production potential for ground-water sample from well 051, Final Creek, Arizona Oxidation of ferrous iron by manganese oxides, Final Creek, Arizona Contents

Mass of constituents removed by alluvium and basin fill, Final Creek, Arizona Selected pHjep data for some primary and secondary minerals Concentrations of major constituents and water-quality components for well 107, March 1989 Colloidal transport through contaminated aquifer material Selected chemical analysis of water, Webster Lake, Arizona Selected chemical analyses of streamflow, Final Creek Basin, Arizona, March 1, 1985 Composition of laboratory precipitates in ground-water and surface-water samples, Final Creek Basin, Arizona Description and composition of selected stream sediments, Final Creek Basin, Arizona Comparison of molar ratios of major cations to manganese and to iron in some extractants of selected sediment samples from Inspiration Dam Calculated manganese oxidation numbers of 7-A phyllomanganate minerals, Final Creek Basin, Arizona Comparison of carbonate compositions, Final Creek Basin, Arizona Some potential constituents of microdomains of manganese deposits CONVERSION FACTORS, VERTICAL DATUM, AND ABBREVIATED WATER-QUALITY UNITS Multiply centimeter (cm) meter (m) kilometer (km) square kilometer (km2) cubic meter per second (m3/s) liter per minute (L/min) gram (g) By To obtain inch foot mile square mile cubic foot per second gallon per minute ounce In this report, temperature is reported in degrees Celsius (°C), which can be converted to degrees Fahrenheit (°F) by using the following equation: °F= 1.8(°C) + 32 VERTICAL DATUM Sea level: In this report, "sea level" refers to the National Geodetic Vertical Datum of 1929 a geodetic datum derived from a general adjustment of the first-order level nets of the United States and Canada, formerly called Sea Level Datum of 1929. ABBREVIATED WATER-QUALITY UNITS Chemical concentration and water temperature are given only in metric units. Chemical concentrations in water is given in milligrams per liter (mg/L), micrograms per liter (ng/L), or moles per liter (mol/L). Milligrams per liter is a unit expressing the solute concentration (milligrams) per unit volume of solution. Millimoles per liter (mmol/L) is a unit expressing the solute concentration per unit volume of solution. One thousand millimoles per liter is equivalent to 1 mol/L. One thousand micrograms per liter is equivalent to 1 mol. For concentrations less than 7,000 mg/L, the numerical value is about the same as for concentrations in parts per million (ppm). Specific conductance is given in microsiemens per centimeter (nS/cm) at 25°C. Chemical concentration in solid-phase material from core samples and stream sediments is given in millimoles per kilogram (mmol/kg), milligrams per kilogram (mg/kg), and micrograms per gram (ug/g). Micrograms per gram is equivalent to parts per million. Contents

Chapter A Research of Acidic Contamination of Ground Water and Surface Water, Final Creek Basin, Arizona By James G. Brown and James H. Eychaner Abstract iron-oxide minerals to precipitate on the streambed. Although trace metals, such as copper, nickel, The Final Creek Basin in central Arizona has zinc, and lead, are more concentrated on iron been an area of large-scale copper mining for more oxides than manganese oxides, trace-metal than 100 years. Contamination sources, mainly sorption to manganese oxides is more important impoundments of water related to mining, because manganese oxides are much more generally were acidic. A manmade lake formed in abundant than iron oxides in the streambed. 1941 and drained in 1988 probably was the single Research at the Final Creek toxic site was largest source of contamination. Concentrations of funded mainly by the U.S. Geological Survey's dissolved iron and sulfate in the lake were greater Toxic Substances Hydrology Program and has than 2,000 and 13,000 milligrams per liter, been ongoing since 1984. Focus of the study respectively. Acidic water from this lake and included the acidic plume and areas affected by other mining-related sources has generated a neutralized water. A combination of column and 15-kilometer-long plume of acidic ground water in other laboratory experiments and computer the alluvial aquifer. Contaminated ground water simulations characterized oxidation-reduction, is neutralized mainly by calcite dissolution as it neutralization, and sorption reactions that moves through the alluvium and the shallow basin evidently occur in the core of the plume. Solidfill. Acid-base, oxidation-reduction, and sorption phase associations of copper, manganese, reactions accompany the neutralization of acidic zinc, calcium, aluminum, and sulfate in the ground water. Oxidation-reduction reactions subsurface were determined through the use involve principally iron and manganese. Sorption of sequential extractions. Field sampling and of oxidized precipitates controls the distribution of laboratory work identified oxide precipitates, cobalt, copper, and nickel. These metals and other associated trace metals, and trends in water trace metals are near detection limits in neutralized chemistry in the area of perennial flow, ground water. Neutralized ground water, which had a pH of iMTRoni irriON 6.1 in 1990, discharges to the land surface to form N1 "°DUUTION a reach of perennial flow in Final Creek. Carbon , , , . ,. ., , The Pmal Creek drainage basin is in central dioxide decreases and dissolved oxygen increases Arizona about m eagt of phoenix (flg. 1}. Globe in the surface water as it flows downstream. As a and Miami are the principal communities in the basin, result, pH rises to about 8, and dissolved-solids which had a population of about 18,000 in 1990 (U.S. concentrations decrease slightly. The rise in pH Bureau of the Census, 1991). The boundary of the along the perennial reach causes manganese and basin forms the boundary of the study area (fig. 1), Research of Acidic Contamination of Ground Water and Surface Water, Final Creek Basin, Arizona 1

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5 MILES 5 KILOMETERS Base from U.S. Geological Survey, 1:24,000; Meddler Wash-Provisional, 1988; Dagger Peak-Provisional, 1988; Salt River Peak-Provisional, 1986; Rocklnstraw Mtn.-Provisional, 1988; Chrome Butts, 1968; Inspiration, 1945; Globe, 1945; Cammerman Wash, 1968; Pinal Ranch, 1948; and Pinal Peak, 1984 Figure 1. Location of study area, Pinal Creek Basin, Arizona. Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

which lies entirely within Gila County. Streams flow generally northward and ultimately flow into Final Creek, which empties into the Salt River just above Roosevelt Lake. Mining began in the area in the late 1870's with the production of silver ore from several underground mines (Ransome, 1903, p. 115). Copper has been mined in the basin since 1882, first in underground mines and in open-pit mines beginning in 1948. Acid-mine drainage resulted from oxidation of sulfide minerals, from ore processing, and from other mining activities in the basin. Contaminated acidic ground water was first recognized in the area in the 1930's, and perennial streamflow in Final Creek is known to have been affected by contamination since 1963 (Envirologic Systems, Inc., 1983, p. 6) and possibly earlier. The contamination has generated a 15-km-long plume of acidic ground water in the alluvium of Miami Wash and lower Final Creek. A study began in 1984 that focused on the acidic contaminant plume beneath Miami Wash and Final Creek and the contaminated water in the perennial reach of Final Creek. The work and research summarized in this report was done primarily by the U.S. Geological Survey (USGS), the U.S. Environmental Protection Agency (USEPA), the University of Arizona, and the Arizona State University. Principal funding was from the USGS Toxics Substances Hydrology Program. The investigations in the Final Creek Basin have had local and national objectives. On the local level, the study objective was to describe the extent of contamination in populated areas, monitor the evolution of the contaminants through time, and evaluate the potential for breakthrough of acidic contamination to the perennial reach of Final Creek, which flows into the Salt River about 10 km upstream from Roosevelt Lake. Roosevelt Lake is a principal source of water for the Phoenix metropolitan area, which had a population of 2,100,000 in 1990 (U.S. Bureau of the Census, 1991). On the national level, the objective was to identify and quantify the reactions that alter the chemistry of the contaminated water, provide data to test simulation models that link advective transport with geochemical reactions, and verify laboratory experiments on the transport and reactions of contaminants. Purpose and Scope The purpose of this report is to present the results of research at the site through 1992. The report summarizes the sampling and data-collection program and describes the geohydrology of the system, the chemical characteristics and extent of the principal contaminant plume, and the physical and chemical processes that alter aqueous and solid phases. This report also presents the results of geochemical-computer model simulations that were done to increase understanding of these physical and chemical processes. Physical Setting and Climate The Final Creek Basin is an area of block-faulted mountains and valleys that range in altitude from 670 to 2,400 m above sea level. The surface-drainage area of the basin is 516 km2. Inspiration Dam, which is about 6 km upstream from the Salt River and mouth of Final Creek, is an abandoned, concrete diversion dam about 3 m high and 22 m long. The dam was built in 1912 but was never used and it has been filled to the crest with sediment since at least 1979. Most studies have been done upstream from Inspiration Dam because access is difficult in the 6.2-km reach between the dam and the mouth of the creek (fig. 1). Land-surface altitudes in the basin generally increase to the south. The altitude of Inspiration Dam is 835 m above sea level. The highest altitude is 2,392 m above sea level on Final Peak in the Final Mountains, which form the south boundary of the basin. The basin is bounded on the east by Apache Peaks and the Globe Hills, which reach a maximum altitude of 1,000 m. The basin is bounded on the west by the Salt River Mountains and Webster Mountain, which has an altitude of 1,700m. Mining operations in the basin range in altitude from 1,000 to 1,300 m above sea level. The largest open-pit mines in the basin are adjacent to and north of Miami, where mines and tailings dominate the local landscape. Tailings cover about 27 km2 of hills and drainages around Miami (fig. 1). By 1989, mine pits and dumps had prevented surface runoff from an area of about 85 km2 from contributing to flow in Final Creek. Average precipitation increases with altitude and ranges from about 340 to about 780 mm/yr and is about 450 mm/yr near the mines (University of Arizona, 1965). From 1914 to 1991, precipitation at Miami Research of Acidic Contamination of Ground Water and Surface Water, Final Creek Basin, Arizona 3

ranged from 167 to 578 mm/yr and averaged 493 mm/yr (Longsworth and lay lor, 1992). Precipitation occurs as brief, often intense summer thunderstorms or as winter storms that may last several days. Snow accumulates in the Final Mountains during most years. Average monthly temperatures near the mines range from 6 to 29°C, with extremes of-15 and 45°C (Sellers and others, 1985). Previous Investigations The geology of the area has been described in detail by Ransome (1903, 1919), Peterson (1962), and Kiven and Ivey (1981). The general geology of Arizona copper deposits and a general history of copper mining in Arizona were described by Arizona Bureau of Mines (1969, p. 117-156), and Titley and Hicks (1966). Manganese deposits were described by Farnham and others (1961). Gilkey and Beckman (1963) described water-use practices at several mines in the area, and Sheffer and Evans (1968) described methods of copper leaching and precipitation. Central Arizona Association of Governments (1983) reviewed the mining history of the basin. Studies funded primarily by the USEPA from 1979 through 1983 first quantified the severity and extent of ground-water contamination (Envirologic Systems, Inc., 1983). During this time, the Mineral Extraction Task Force (METF) of the Central Arizona Association of Governments studied potential areas of groundwater contamination near Globe (Rouse, 1981, 1983; Central Arizona Association of Governments, 1983; Envirologic Systems, Inc., 1983). Their work included chemical analyses of water samples from possible contaminant sources, from streams and existing wells, and from 52 wells drilled for the study. Progress in the investigations by the USGS since 1984 has been summarized by Eychaner and Stollenwerk (1985, 1987) and Eychaner( 1988, 1989, 1990, 1991a). The USEPA (1986) found Inspiration Consolidated Copper Company (ICCCo) in violation of the Clean Water Act and ordered a series of actions to eliminate contaminant sources, remove contaminated water from the aquifer, and monitor remediation progress. The administrative record leading to the order and its successive revisions (USEPA, 1978-89) includes information on the history of contaminant sources. Arthur (1987b) summarized the evidence supporting the order and included two subsequent modifications of the required actions. The company's initial response to the order (Timmers, 1986) contains a large number of data. Studies related to the design of remediation work were described by Hydro Geo Chem, Inc. (1989). Acknowledgments Cyprus Miami Mining Corporation, Pinto Valley Division of Magma Copper Company, and their predecessor corporations provided access to their records and properties. The late Noel B. Gillespie, a long-time resident of the Globe area and a senior employee of both companies, was especially helpful. Greg V. Arthur of the USEPA provided access to data from that agency. Nellie A. and Eva M. Setka generously provided access to sampling sites. This report includes significant contributions by researchers other than the principal authors. Robert W. Wallin, Ronald S. Reese, and Dr. Randy L. Bassett, University of Arizona, investigated organic contamination of the aquifer. Judith Haschenburger, Arizona State University, described manganese oxide and copper distribution and quantity in sediments in the perennial reach of Pinal Creek. The late Walter H. Ficklin, Geologic Division, USGS, conducted sequential extractions. Well-Numbering and Naming System Each project well is identified by a two- or three-digit number that denotes well number and group. For example, well 103 is the third well drilled in group 100. Project well numbers that include the characters, EX, represent exploration holes that were abandoned after water samples and cuttings were collected. The exploration holes were sealed with concrete to their total depths. Mining companies and other well owners use different systems, which are identified and located individually. DATA COLLECTION AND ANALYSIS Data collection began in 1984 with the drilling of wells adjacent to Miami Wash into the acid core of the plume. Initially, the focus of data collection and study was on the acidic ground-water plume but quickly expanded to include areas affected by neutralized contamination especially the perennial reach of Pinal Creek above Inspiration Dam. Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

Well-Drilling Program and Data-Collection Network From 1984 through 1990,32 observation wells and 6 exploration holes were drilled at 9 sites in the area (fig. 2). The wells were constructed with 10-cm-diameter, solvent-welded PVC casing and factory-slotted pipe; most well screens were 1 m in length (table 1). Aquifer materials were collected at each site during drilling. Wells were used for collection of water samples along the length of the plume and at various depths. Two wells were completed in uncontaminated basin fill beneath the plume; well 10 was drilled upgradient from all known mining activities. Since 1984, ground-water samples were obtained for chemical analysis from selected project wells at least twice yearly and at most wells once a year. A streamflow-gaging station was established on Final Creek at Inspiration Dam (station number 09498400) in July 1980; water-quality data have been collected from the site on a regular basis (usually six times per year) since November 1979. Water-quality samples have been collected from Final Creek at Setka Ranch (09498380) since July 1987 (fig. 2). Water samples were collected on an intermittent basis from 1984 to 1987 at 12 nonproject wells and 11 surface-water sites along Miami Wash, lower Final Creek, and tributaries. Data collected by or related to this project were presented by Eychaner and others (1989), Brown (1990), and Longsworth and Taylor (1992). The reports include well-construction data, water levels in wells, streamflow discharge, and chemical analyses of ground water and surface water. Data-Collection Methodology Most ground-water samples were collected using either a 4.4- or 9.5-cm-diameter stainless-steel submersible pump, which was placed in the well just before sampling and removed immediately after sampling. The 4.4-cm-diameter pump produced about 4 L/min. The 9.5-cm-diameter pump produced 20 to 100 L/min. A few samples were collected using a bladder pump or bailer. In most instances, samples were obtained only after three casing volumes of water were evacuated and after temperature, pH, and specific conductance stabilized. These measures helped ensure that the sample collected represented water in the aquifer. In a few instances, one or more of the field 110°55' 50' 110°45'

33°35' - EXPLANATION ... INTERMITTENT STREAM DATA SITES Number is site identifier Observation well group 094983801 , 1 Precipitation gage 33°20' The bottleneck Gravel quarry 25'- Base from U.S. Geological Survey, 1:24,000; Rocklnstraw Mtn.-Provlslonal, 1986; Salt River Peak-Provisional, 1988; Inspiration, 1945; Globe, 1945; Plnal Ranch, 1948; and Plnal Peak, 1984 Figure 2. Ground-water, surface-water, and precipitation data-collection sites, Final Creek Basin, Arizona. measurements was not stable but the number of casing volumes exceeded three. Occasionally, samples were taken after field measurements had stabilized but before three casing volumes were pumped if evacuating the three volumes would have lowered water levels excessively. During many sample sets, dissolvedoxygen concentration, oxidation-reduction potential, and water-level drawdown also were monitored for stability. Decontamination of the 9.5-cm-diameter pump between wells was accomplished by pumping more Research of Acidic Contamination of Ground Water and Surface Water, Final Creek Basin, Arizona 5

Table 1. Observation well construction data, Final Creek Basin, Arizona [C, caliper, D, drillers; E, electric; G, geologist; J, gamma; P, particle-size; U, gamma-gamma. , no data] Well number 1EX SEX 3EX2 3EX3 4EX SEX Date completed Drilling method Air hammer Rotary, bentonite Rotary, bentonite Rotary, bentonite Rotary, bentonite Rotary, bentonite Rotary, bentonite Rotary, bentonite Rotary, bentonite Dual-wall air rotary Rotary, bentonite Rotary, bentonite Hollow-stem auger Rotary, bentonite Rotary, bentonite Rotary, bentonite Rotary, bentonite Rotary, bentonite Dual-wall air rotary Dual-wall air rotary Dual-wall air rotary Rotary, bentonite Rotary, bentonite Rotary, bentonite Rotary, bentonite Dual-wall air rotary Cable tool Hollow-stem auger Hollow-stem auger Hollow-stem auger Dual-wall air rotary Rotary, bentonite Rotary, bentonite Rotary, bentonite Cable tool Hollow-stem auger Hollow-stem auger Hollow-stem auger Hollow-stem auger Hollow-stem auger Depth of hole, in meters Depth of well, in meters Interval of screen, In meters From To Geologic unit Basin fill Basin fill Alluvium Basin fill Alluvium Basin fill Alluvium Alluvium Alluvium Basin fill Alluvium Basin fill Alluvium Basin fill Alluvium Alluvium Alluvium Basin fill Alluvium Alluvium Basin fill Alluvium Alluvium Alluvium Alluvium Basin fill Alluvium Basin fill Alluvium Alluvium Alluvium Alluvium Bottom of seal, In meters Logs available D,G.P C,E,G,P C, E, G, P, U D,G,P D D,G,P C,E,G,J,P,U C, E, G, P, U D D,G,P G,P D C, E, G, P D,G,P D D,G G,P D,G,P D,G,P D D D D D,G,P D,G,P D,G,P D D,G,P Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

than 500 L of water from the next well before sampling. Pump and column pipe were thoroughly drained between wells. The 9.5-cm-diameter pump generally was flushed with more than 75 L of water before sampling. The 4.4-cm-diameter pump was drained between wells and flushed with local tap water. Surface-water samples were obtained using standard USGS sampling practices (Wood, 1976; and Guy and Norman, 1970). Ground-water and surfacewater samples were processed, filtered, acidified, and preserved when appropriate at the site immediately after sampling. Analytical Methods and Quality Assurance Most ground-water samples were analyzed at the USGS National Water-Quality Laboratory (NWQL) or by Kenneth G. Stollenwerk, USGS National Research Program (NRP). Robert W. Puls of the USEPA analyzed samples in June 1988 and March 1989 to study the effect of filter pore size, discharge, and atmosphere on concentrations of selected constituents (Puls and others, 1990). Stollenwerk, Puls, and NWQL analyzed most metals using inductively coupled plasma atomic-emission spectrometry. Methods are described by Fishman and Friedman (1989). Linda Faires (USGS) analyzed selected surface-water and ground-water samples collected in 1989 using inductively coupled plasmamass spectrometry. Data quality was assessed by submitting duplicate samples (about 25 percent of all samples were sent to at least two laboratories), by comparison with previous analyses for the same or similar sites, by computation of ionic balance, and by evaluation of blind samples submitted to each laboratory. GEOHYDROLOGY The geohydrologic characteristics of the Pinal Creek Basin are the result of past geologic events, past and present climates, and human activities over the last 100 years. The movement, storage, and chemical nature of ground water are controlled mainly by rock lithology and basin configuration. Climate, especially the amount and distribution of rainfall, determines the quantity and frequency of large surface-water flows and subsequent ground-water recharge. Because the area is semiarid, most of the drainages in the basin are dry but may convey large amounts of storm runoff during and after severe storms. Streams in the foothills of the Pinal Mountains also flow during and following snowmelt in late winter and early spring. Infiltration through permeable stream alluvium (fig. 3) is a major pathway for recharge to the regional aquifer, which occupies about 170 km2 within Pinal Creek Basin. In the northern part of the basin, the aquifer becomes constricted by impermeable rocks and Pinal Creek flows perennially from near Horseshoe Bend Wash to Inspiration Dam and beyond to the Salt River 110°55' 110°45' 33°35' - 33°20' EXPLANATION BOUNDARY OF AQUIFER BOUNDARY OF STREAM ALLUVIUM

INTERMITTENT STREAM Pringle diversion dam and pump station \jooh Apache Peak alluvial fan Base from U.S. Geological Survey, 1:24,000; Globe, 1945, Rocklnstraw Mtn., 1986, Salt River Peak, 1966, and Inspiration, 1945 3 MILES 3 KILOMETERS Figure 3. Aquifer area, alluvial fans, and tributary streams, Pinal Creek Basin, Arizona Research of Acidic Contamination of Ground Water and Surface Water, Pinal Creek Basin, Arizona 7

(fig. 3). The exact point at which perennial flow appears varies in response to changes in climate, particularly rainfall. From 1988 to 1989, the head of flow migrated 600 m downstream. By November 1991, the head of flow was about 4.5 km south of Inspiration Dam. Ground water and surface water provide physical pathways for contaminant movement in the study area. Rocks in Final Creek Basin range in age from Precambrian to Holocene. The regional aquifer is bounded laterally and at depth by impermeable rocks that range in age from Precambrian to Tertiary. Block faulting in the Tertiary and Quaternary Systems created the graben into which basin fill and stream deposits accumulated. Basin-fill sediments, which are Tertiary to Quaternary in age, and stream alluvium, which is Quaternary to Holocene in age, compose the regional aquifer. Basin-fill deposits are known locally as the Gila Conglomerate. Heindl (1958), however, showed that basin fill in the Globe area includes sediments not equivalent to sediments in the type section of the Gila Conglomerate (Gilbert, 1875), which is east of the study area. The present basin configuration was created by crustal expansion that began 19 to 15 million years (m.y.) ago and continued until about 8 m.y. ago. This event was characterized by high-angle block faulting associated with basin subsidence, and the deposition of basin fill. Subsequent downcutting of the basin fill has created the present topography. Deposits of Precambrian to Tertiary Age The following discussion is summarized from Peterson (1962, pi. 1, 7), who described in detail the geology and mineral deposits of the area. Rocks of Precambrian age include schist, diorite, granite, conglomerate, quartzite, limestone, and basalt. These deposits are widely exposed in the hills and mountains throughout the study area. Rocks of Paleozoic age include quartzite, limestone, and shale. Rocks of Mesozoic and Cenozoic age are mainly intrusive and include granite, granodiorite, diabase, and monzonite, all of which are Cretaceous or Tertiary in age. Rocks of Mesozoic and Cenozoic age are exposed in the hills and mountains north of Globe and Miami. Although impermeable in most areas, locally these rocks yield water to wells. Nine wells produced water from the limestone of Paleozoic age that underlie basinfill deposits north of Central Heights between Miami Wash and Final Creek (fig. 1, this report; Rouse, 1983, p. A-29 through A-31). Permeability was measured in "crystalline bedrock" in the Lower Oxhide pit west of Miami through the use of pressure tests. Hydraulic conductivity in one set of holes was estimated to range from 0.008 to 0.014 m/d (Rouse, 1981, p. 46) but was negligible in "a number" of other holes. Earl (1973, p. 89) estimated the hydraulic conductivity of fractured rock in the Copper Cities (now called the Sleeping Beauty) pit area to be 0.15 m/d on the basis of flow-net analysis of a seepage area in the pit. He estimated the maximum storage coefficient to be 0.06 in fractured material at the open-pit face. The igneous and metamorphic rocks include a major body of copper porphyry ore that was formed by downward percolation of ground water, which leached metals from sulfides in the capping material and redeposited the metals into the host rocks, which are composed mainly of granite and schist (Peterson, 1962, p. 83). Ore minerals, which were originally deposited as sulfides, are disseminated in the granite mass and are enriched locally in abundant small quartz-filled veins. Chalcocite, chalcopyrite, and pyrite predominate in the deeper parts of the ore body. Chrysocolla, malachite, and azurite predominate in the upper, oxidized zone of the ore body. Deposits of Tertiary and Quaternary Age Sediments and rocks of Tertiary and Quaternary age include White tail conglomerate, basalt, granite, dacite, stream alluvium, and basin fill. The dacite, basalt, and Whitetail conglomerate are Tertiary in age and are older than the basin fill and alluvium (Peterson, 1962, p. 36, 38). The dacite and basalt are exposed in the hills and mountains north of Globe and Miami. Granite of Tertiary age is exposed southwest of Miami. Whitetail conglomerate is exposed about 2 km northwest of Webster. Basin-Fill Deposits Basin-fill deposits are widespread in the Pinal Creek Basin and overlie older rocks from the valley floor to the fronts of the mountains and hills. In most places, the boundary of the aquifer coincides with the boundary of basin fill with older rocks. Locally, for example along Pinal Creek south of the mouth of Miami Wash, the boundary of the aquifer is the contact 8 Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

between stream alluvium and older rocks. In the southeastern part of the study area, basin fill extends eastward into Cutter basin. Basin fill is underlain by the rock types exposed in the hills and mountains that bound the basin. In much of the basin, especially where the aquifer generally is thick, the rock type at a particular location is unknown. Just west of the Globe Hills, basin fill is underlain by diorite that is Precambrian in age. Beneath Bloody Tanks Wash, the basin fill is underlain by schist that is Precambrian in age. Basin fill generally is thinnest along the margins and thickens to more than 1,000 m in the central part of the basin. Basin fill is about 600 m thick beneath Bloody Tanks Wash (Peterson, 1962, pi. 2) and thickens to more than 1,220 m about 0.5 km south of Bloody Tanks Wash (Peterson, 1962, p. 41). Basin fill overlies a shallow ridge of crystalline rocks about 1 km south of the mouth of Miami Wash. Basin fill at this location decreases in thickness from 260 m to about 120 m over a horizontal distance of 580 m (D.L. Igou, Cities Service Oil Company, written commun., 1967). At the mouth of Miami Wash, basin fill is less than 100 m thick and about 1 km wide. Between the mouth of Miami Wash and Horseshoe Bend Wash, the unit reaches a maximum width of 8 km. North of Horseshoe Bend Wash (fig. 3), the aquifer is constricted laterally and at depth by impermeable rocks; and at Inspiration Dam, the aquifer is truncated by volcanic rocks. Basin fill, which is derived from rocks of the surrounding mountains, ranges "from completely unsorted and unconsolidated rubble of angular blocks as much as 4.5 m in diameter, to well-stratified deposits of firmly cemented sand, silt, and gravel containing well-rounded pebbles and cobbles" (Peterson, 1962, p. 41). The character of the deposits at a given spot reflect the distance traveled and mode of deposition. The contact between basin fill and older material is unconformable. On the flanks of the Final Mountains, basin fill includes alluvial-fan deposits composed mainly of diorite and schist. North of Globe, basin fill includes fragments of basalt, limestone, quartzite, and conglomerate of Precambrian age and dacite and diabase of Paleozoic age (Peterson, 1962, p. 41). The relative amounts of each type of fragment varies from place to place. Carbonate content of the basin fill is about 1.5 percent (Eychaner, 1989, p. 570). Along Miami Wash and Final Creek, samples of shallow basin-fill material obtained during observation-well drilling typically contained more than 80-percent sand and gravel by weight. Hydraulic conductivity of basin fill is estimated to range from 0.03 to 0.05 m/d on the basis of aquifer tests done by Envirologic Systems, Inc. (1983), and depends on whether confined or unconfined conditions are assumed, and on the estimated aquifer thickness (Hydro Geo Chem, Inc., 1989, p. 45). Two aquifer tests done by Cities Services Company south of the mouth of Miami Wash yielded estimates of hydraulic conductivity between 0.1 and 0.2 m/d (C.G. Taylor, Environmental Engineer, Magma Copper Corporation., written commun., 1987). The storage properties of basin fill have not been measured. Freethey and others (1986), however, studied similar deposits in nearby basins and provided information that was used to characterize aquiferstorage properties at Final Creek. Basin-fill deposits studied by Freethey and others (1986) were deposited at about the same time and under similar tectonic conditions as deposits in Final Creek Basin. Freethey and others (1986, sheet 1) found that the storage properties of basin fill were controlled mainly by average particle size. Freethey and others (1986) designated basin fill as being either coarse, intermediate, or fine grained and estimated the range in specific yield of each type of deposit. Basin fill in Final Creek Basin ranges in size from boulder to clay but is composed predominately of fine sand to silt-sized material. This size distribution would place these deposits into the intermediate grainsized facies, in which specific yield ranges from 5 to 25 percent (Freethey and others, 1986, sheet 1). Stream Alluvium Unconsolidated stream alluvium overlies the basin fill along Miami Wash, Final Creek, and other major drainages (fig. 3). The alluvium is from 300 to 800 m wide and is less than 50 m thick. A thin veneer of alluvium covers much of the basin fill but generally is not shown on published geologic maps. The alluvium contains poorly sorted, subangular to subrounded cobble- to clay-sized material (Hydro Geo Chem, Inc., 1989, p. 22) although sand- to gravelsized material is most abundant. Drill cuttings from observation wells (fig. 3) typically contained greater than 90-percent sand and gravel by weight; auger samples indicated the presence of silt or clay beds several inches thick. Uncontaminated alluvium contains about 0.3 percent calcite (Eychaner, 1989, p. 567). Research of Acidic Contamination of Ground Water and Surface Water, Final Creek Basin, Arizona 9

Where the plume is acidic, all the calcite in the alluvium has been completely dissolved through reaction with acidic ground water. Drill cuttings of alluvium along Russell Gulch typically contained 75- to 98-percent sand and gravel. Sand-sized particles contained mainly quartz, feldspar, and lesser amounts of mica and a variety of rock fragments. Gravel-sized material consisted mainly of rock fragments of granite, volcanic rocks, and schist. Alluvium contains interbedded clays and lenticular clay layers that were as much as 12 m thick at Nugget Wash, 0.5 km north of the mouth of Negro Wash, and in the southwestern part of the Kiser area. Particle-size analyses of drill cuttings indicate that these lenticular clay layers thin toward the center of the basin (Hydro Geo Chem, Inc., 1989, p. 27) and extend an indeterminate distance in length parallel to the axis of the basin. The effective hydraulic conductivity of the alluvium between well groups 400 and 500 was estimated to be 260 m/d by applying Darcy's law to observed outflow, water-level gradients, and the cross-sectional area of the alluvium perpendicular to the direction of flow (Neaville, 1991). Hydro Geo Chem, Inc. (1989, p. 47) obtained hydraulicconductivity values for the alluvium that ranged from 150 to 220 m/d from aquifer tests done in the Kiser area and along Final Creek north of the mouth of Miami Wash. These tests yielded estimates of specific yield that ranged from 0.20 to 0.22. Estimates of specific yield of the alluvium also were obtained using the temporal-gravity technique (Pool and Eychaner, 1995). Gravity surveys in the basin were done on four occasions between February 1991 and March 1993, during which time ground-water levels were gradually rising. During each survey, gravity was measured at USGS observation wells and at two bedrock stations, and water levels were measured at the observation wells. On the basis of observed gravity changes and water-level rises, average specific yield was estimated to range from 0.16 to 0.21. Variations in specific yield were related mainly to variations in lithology. Smaller values of specific yield generally were associated with sandy, silty, or low-porosity intervals (Pool and Eychaner, 1995, p. 431). Occurrence and Movement of Ground Water Anderson and others (1992, p. 39) described the hydrologic setting of alluvial basins in Arizona in terms of annual unit downvalley-flow rates. Under this scheme, Pinal Creek Basin is classified as a multiple source-sink group, in which the basin response to ground-water pumping depends on the location and magnitude of recharge, natural discharge, and pumping. Rainfall and snowmelt provide uncontaminated water to Pinal Creek Basin; no surface streams or adjacent ground-water bodies deliver water into the study area. Ground water in rocks of Precambrian to Tertiary age generally is restricted to intensely fractured and (or) faulted areas. Elsewhere, these rocks are impermeable. In the Globe Hills, precipitation enters the subsurface through faults and joints mainly in shale and quartzite formations associated with the Old Dominion vein fault (Peterson, 1962, p. 44, Beckett, 1917, p. 41). This water was intercepted by mining operations in the eastern part of the Old Dominion Mine. Beckett (1917) noted that the mining of successively lower levels of the mine drained this water from the overlying level. Because this water was encountered only as mining proceeded to the east, it is doubtful that before mining these fracture zones were hydraulically connected to basin fill or stream alluvium to the west. Limestone units of Paleozoic age underlie basin fill between Miami Wash and Pinal Creek northwest of Globe and yield usable quantities of water to wells. The degree of hydraulic interconnection between these units and basin fill is unknown. Ground water in basin fill flows generally northward from the flanks of the Pinal Mountains and westward from the Apache Peak alluvial fan (fig. 3). On the basis of measured tritium concentrations, water in shallow alluvium near recharge areas (well 10) was recharged less than 40 years ago; however, uncontaminated water in basin fill (well 404) underlying the contaminant plume probably is more than 40 years old. Most ground water in basin fill that is not withdrawn by wells eventually moves upward into the stream alluvium, discharges to the perennial reach that originates north of Horseshoe Bend Wash (fig. 3), and exits the basin as surface flow at Inspiration Dam. Evapotranspiration is estimated to account for between 20 and 25 percent of ground-water outflow (Neaville, 1991, p. 58). Most rainfall or snowmelt that does not evaporate or run off recharges the aquifer through stream alluvium in main channels and tributaries. In addition to basin-scale movement of water between alluvium and basin fill, pumping-induced gradients can cause the local-scale movement of ground water either Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

upward or downward. A ground-water divide extends from Globe southward to the Final Mountains. East of the divide, which may be caused by a fault along Final Creek (Hazen and Turner, 1946, p. 24), ground water flows generally eastward into the Cutter basin. From about 1942 through May 1988, seepage from Webster Lake (fig. 1) contributed flow to the regional aquifer. Lake water leaked through coarse leach-plant discard material and the alluvium of Webster Gulch, moved downgradient, and entered the regional aquifer near the confluence of Russell Gulch and Bloody Tanks Wash. Flow from Webster Gulch for 1987-88 was estimated to be between 0.04 and 0.08 m3/s (Hydro Geo Chem Inc., 1989, p. 50). Water levels have been monitored in observation wells that were drilled along Miami Wash and Final Creek between 1984 and 1992 (fig. 2). Seasonal and other variations in recharge caused rapid water-level changes even in wells that are more than 50 m deep. Water levels along Miami Wash and lower Final Creek rose 1 m or less from 1984 to 1985 but dropped steadily from 1986 to 1990 in response to (1) less-than-average rainfall in the basin; (2) the draining of Webster Lake by May 1988, which was a significant source of water to the regional aquifer; and (3) increased pumping in the Kiser area for the purpose of remediation. The water-level decline generally decreased downstream. Water-level declines from 1986 to 1990 were 17, 10, and 1 m at sites 100,400, and 500, respectively. During early 1991, water levels rose in all observation wells in response to larger-than-average amounts of precipitation that fell during winter and spring. The greatest water-level increase was 9 m in 3 months at well 10. Beckett (1917, p. 41) reported a similar rise of 12 m in 3 months near Globe in 1915. At each site, the lowest head generally is near the contact between the basin fill and alluvium; higher heads were measured in both deeper and shallower wells. Such a head distribution probably is caused by preferential flow of water into coarse, highly permeable material near the base of the alluvium. At sites 100,400, and 500, the highest head is in the deepest well. Differences in head between wells at a site were less than 0.5 m. The horizontal hydraulic gradient along Miami Wash and Final Creek is about 0.008. Using the estimated hydraulic conductivity of 260 m/d, the observed slope of 0.008, and an estimated porosity of 25 percent, the average linear ground-water velocity is estimated to be about 8 m/d. Occurrence and Movement of Surface Water Streams in most of the basin are dry except following periods of intense or prolonged rainfall. The direction of flow in tributaries is mostly northward and eastward to Final Creek, which flows in a north- to northwest-trending direction to the Salt River. Final Creek is perennial for about 6 km upstream from Inspiration Dam to the mouth at the Salt River. In most years during late winter and spring, snowmelt produces flow in streams on the flanks of the Final Mountains. During years of greater-than-average snowfall in the Final Mountains, flow may be uninterrupted from the Final Mountains to Inspiration Dam for a period of weeks. Hazen and Turner (1946, p. 25) measured a net flux of flow from streams to the aquifer on the flanks of the Final Mountains. In the spring of 1989, following a dry winter, Neaville (1991) measured a total of 0.03 m3/s of streamflow in six tributaries underlain by granitic rock. The entire flow infiltrated stream alluvium just north of the fault contact between the basin fill and crystalline rocks. Webster Lake Webster Lake was at the confluence of Webster Gulch and Lost Gulch about 3 km north of Miami (fig. 1). After 1926, leach-plant discard material was dumped from rail cars along the south edge of Webster Gulch and formed a slope at the angle of repose. The material had been crushed to less than 1 cm in diameter but was not as fine as concentrator tailings. One or more landslides blocked the channel at a point where the drainage area was about 36 km2. These deposits later were extended across the whole valley. The lake was formed in 1941 (Timmers, 1986, p. 3) and was present in aerial photographs taken January 23, 1942 (T.A. Conto, Senior Project Engineer, Cyprus Miami Mining Corporation, oral commun., October 6,1988). Lake stage was controlled by a tunnel that later was blocked. The lake was drained by order of the USEPA in 1986, and by May 1988, the lake was completely dry. The capacity of Webster Lake was estimated from topographic maps made after the lake was drained (Cooper Aerial Survey Co., 1989). USGS topographic maps from 1947 show the lake area to be 104,000 m2 in December 1945, which corresponds to a calculated volume (using the 1989 maps) of 480,000 m3. In this study, the maximum area and Research of Acidic Contamination of Ground Water and Surface Water, Final Creek Basin, Arizona 11

volume of the lake was calculated to be 462,000 m2, and 7.15 million m3, respectively. Gilkey and Beckman (1963), however, reported an area of 526,000 m2 at an unknown elevation. Spills of acidic lake water occurred when intense or prolonged rainfall caused the lake to overflow. Records of spills are nonexistent for the 1940's through the 1960's, but during the late 1970's and 1980's, the lake overflowed on more than eight occasions. Perhaps the most prolonged spill of lake water occurred from January 16 to January 30, 1978, when the lake flowed at a maximum discharge of 0.69 mVs and had a pH as low as 2.57. Webster Lake was used in the production of copper (Cu) to store water from many sources until it was needed again. These waters generally were acidic with large concentrations of metals (Timmers, 1986, p. 17-22). The largest volumes of water came from the dewatering of underground or open-pit mines, and from iron launders, in which Cu was recovered by precipitation in a solution containing scrap iron. The solution also contained about 2,000 and 7,000 mg/L of dissolved sulfuric acid (H2SO4) and iron (Fe), respectively (Hardwick, 1963, p. 59). Launder solutions were first produced by ICCCo in 1941 from water that drained into their underground mine and became acidic during unforced leaching (Central Arizona Association of Governments, 1983, p. 27). In 1944, the electrolytic precipitation plant was destroyed by fire, and iron launders were used exclusively for about 1 year. In 1950, intentional leaching of caved areas was begun above the mine (Honeyman, 1954). The leach water came from Webster Lake, which had a pH of 2.5 and contained at least 10 mg/L of ferrous iron (Fe). Inspiration's vat and in-situ leaching iron-launder facilities were closed in 1974 and 1981, respectively (Timmers, 1986, p. 18-22). The iron launders were replaced by a solvent-extraction plant that began operating in 1979 (Central Arizona Association of Governments, 1983, p. 52). Analyses of lake water, which were collected from the mid-1970's until the lake was drained, indicate that the pH of lake water was between 2 and 3. Concentrations of dissolved Fe and sulfate (S04) were greater than 2,000 and 19,000 mg/L, respectively (see chapter D, this report). Perennial Streamflow The aquifer is constricted laterally and at depth near site 500 (fig. 2) north to Inspiration Dam. In 1992, ground-water discharge to the surface sustained perennial flow from about 1 km below site 500 to Inspiration Dam at the basin boundary and beyond to the mouth of Final Creek. Streamflow measurements made during a period of base flow in March 1990 indicate that about 40 percent of base flow surfaces in the first 600 m of the perennial reach (Faires and Eychaner, 1991). Ground-water levels and the point at which perennial flow begins are controlled by variations in precipitation, ground-water withdrawals, and the removal of contamination sources. From 1987 through 1990, rainfall in the basin was 80 percent of normal and the head of flow migrated about 700 m downstream. Following record streamflows in the winter of 1992-93, the head of flow moved about 1 km upstream. Discharge and water quality have been monitored since 1979 on Final Creek at the streamflow-gaging station at Inspiration Dam (figs. 3 and 4). During 1981-91, average discharge at Inspiration Dam was 0.31 m3/s and includes ground-water discharge and direct runoff. Ground-water discharge to the perennial reach varied from 0.21 to 0.28 m3/s from 1980 to 1989. Streamflow diversions and ground-water withdrawals from stream alluvium at Pringle pump station, about 2 km upstream from Inspiration Dam, averaged 0.09 m3/s during 1979-85 and 1988-89. Dissolvedsolids concentration in Streamflow gradually increased from 1979 through 1988 but decreased slightly from 1989 through 1991. Discharge measurements made concurrently with water-chemistry samples at Final Creek at Setka Ranch provided limited information on the nature of base flow near the head of perennial flow. All discharges and water samples were measured and collected when no ephemeral flow was contributing to the creek. Superimposed on the long-term trend of decreasing discharge was a yearly cycle in which minimum discharges occurred generally during the summer, and maximum discharges occurred during the winter. The minimum discharge measured in 1988 was 29 percent below the average of the maximum discharges measured during the preceding and following winters. The long-term decrease is accompanied by downstream movement of head of flow and declining ground-water levels, all of which are controlled by variations in fluxes in the upper part of the basin. Chloride (Cl), a conservative constituent in the flow system at Final Creek, changed little during 1988, indicating that the yearly variation in flow probably is not related to increased evapotranspiration during summer Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

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months. The decrease may be caused by increased withdrawals for stock and domestic use in the area or may reflect seasonal variations in local recharge. Water Chemistry Although uncontaminated water was present throughout Final Creek Basin before development, quantitative evidence is limited to describe that water. Ground water in recharge areas of alluvial basins in Arizona typically is a calcium bicarbonate type, has a pH from 6.9 to 7.4, and is nearly saturated with dissolved oxygen (Robertson, 1991, p. 22-23). The average composition of such water in seven basins totaled about 500 mg/L dissolved solids, and included 21 mg/L of SO4 and 44 mg/L of silica (SiO2). Before major mining operations began in the Miami-Inspiration ore body, wells 1 km south of the mouth of Miami Wash yielded "large quantities" of potable water (Daily Silver Belt, September 8,1912, p. 5). Precipitation about 100 km southeast of the basin had a mean dissolved-solids concentration of less than 3 mg/L and a mean pH of 5.5 in 1989 (National Atmospheric Deposition Program, 1990, p. 72). Uncontaminated water in the basin has a near-neutral pH and contains less than 300 mg/L dissolved solids (table 2). Hazen and Turner (1946) sampled streamflow on the northern slopes of the Final Mountains in April 1945. Median dissolved-solids concentration of five samples was 105 mg/L (table 2). Ground water from uncontaminated parts of the aquifer along the central parts of the basin contained no more than 300 mg/L dissolved solids from 1986-87 (Eychaner and others, 1989). Locally, water from fractures in mineralized areas may naturally contain more than 2,000 mg/L dissolved solids. Beckett (1917) recognized two distinct waters in the Old Dominion Mine, which was plagued by water problems throughout most of its active life. Water that Beckett called "Westside" water was low in dissolved solids and was similar to water found today in uncontaminated basin fill and alluvium. This water entered the mine from basin fill to the west where mine adits intercepted fractures in underlying dacite. "Eastside" water was intercepted by workings in the mine as drifts were extended eastward into the Globe Hills. This water came from fractures and faults in shale and quartzite formations (Beckett, 1917). The temperature of the water was 32°C (Beckett, 1917, p. 41) and contained about 2,300 mg/L dissolved solids (Peterson, 1962, p. 44). Contamination sources in the basin generally were acidic and contained large concentrations of metals such as Fe and Cu. Webster Lake, a major source of contamination, was a mixture of water from the mining process, wastewater, and natural water. Samples of lake water taken sporadically during the 1970's and 1980's indicate that the lake was consistently acidic and contained large concentrations of metals and SO4, although concentrations varied horizontally, vertically, and temporally. From 1981 through 1988, pH at and near the lake surface varied from 2.4 to 2.8 (Arthur, 1987a). From 1976 to 1988, concentrations of measured SO4 ranged from 13,000 to 39,000 mg/L. Concentrations of dissolved Fe were larger than 2,000 mg/L (Arthur, 1987a), and concentrations of other metals generally were greater than 100 mg/L. Wells drilled into Webster Gulch alluvium downgradient from Webster Lake yield water similar in chemical composition to water in the lake (table 3). In May 1989, water from Webster Wash Dewatering Well 3 (WWDW3) had a pH of 3.4, a specific conductance of 13,100 iS/cm, and concentrations of SO4 and Fe of 13,200 and 4,270 mg/L, respectively. Although still acidic, water from well 51 contained smaller concentrations of many constituents than did water from WWDW3. The major process retarding acidic water movement is dissolution of calcite from the aquifer, which raises solution pH and causes most metals to precipitate. Bicarbonate that occurs naturally in ground water also provides some neutralization capacity. All available calcite has been consumed for at least 15 km along a ground-water flow path below the lake. At a point 6 km from the lake, water at the base of the alluvium has a pH of 3.6 and elevated concentrations of dissolved metals and SO4 (fig. 5 and table 2). Silicate minerals also neutralize ground water but at a slower rate than calcite and bicarbonate (Stollenwerk, 1988). The distribution of Fe in the aquifer is closely related to pH, which controls Fe solubility. Stollenwerk (1991) showed that attenuation of Cu, cobalt (Co), and nickel (Ni) in column experiments was a function of pH and could be quantitatively modeled by the diffuselayer surface-complexation model in MINTEQA2 (Allison and others, 1991). In addition, attenuation of Cu, Co, and Ni along a flow path in the aquifer was simulated reasonably well using the same model and equilibrium constants as for the column data. Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

Table 2. Chemical analyses of native water, Final Creek Basin, Arizona [-no Research of Acidic Contamination of Ground Water and Surface Water, Final Creek Basin, Arizona Site name Well 10' Well 4041 Streamflow from the Final Mountains2. Date of sample Sodium and Alka- Sul- Tem- Dis- Magnepotas- Unity, fate, perasolved Calcium, slum, slum, inmilliinmilli- ture, solids, inmilliinmilli- inmilligrams grams in inmilligrams grams grams per per degrees grams per liter per liter per liter liter liter Celsius pH per liter (Ca2*) (Mg2*) (Na*+K*) (CaCO3~) (SO42~) Chloride, in milligrams per liter (cr) Silica, in milligrams per liter (SiOz) Iron, Copper, in in micromicro- grams grams per liter per liter (Cu) (Fe) 1 Longsworth and Taylor, 1992. 2Median of between five and eight streamflow samples from the Final Mountains. Data from Hazen and Turner (1946). Table 3. Chemical analyses of contaminated water, Final Creek Basin, Arizona [ , no data. Water filtered through 0.45-micrometer filter before analysis except where indicated. Data from Longsworth and Taylor ( 1992) except where indicated] Site name Webster Lake 1 Webster Wash Dewatering Well 32. Well 51. Well 451... Well 501 Final Creek at Inspiration Dam near Globe, Arizona (09498400). Date of sample Specific Ternconduct- anoe, tare, in mteroin Siemens degrees percent- Celsius meter

13,100 8,200 3,980 3,370 3,450 pH Cah Mag- Sodium, Alka- Suh cium, nesium, in Unity, fate, inmilli- inmillimilli- inmilliin milligrams grams grains grams grams per per per per per liter liter liter liter liter (Ca2*) (Mg2*) (Na*) (CaCCV) 19,000 13,200 5,800 2,600 % 2,400 2,100 Chloride, in milligrams per liter (cr) Aluminum, in micrograms per liter (Al3*) Copper, in micrograms per liter (Cu) Iron, in micrograms per liter (Fe) 6,000 4,270 1,700 Manganese, in micrograins per liter (Mn) 'Samples at lake edge. Data from Brown (1990). 2Water unfiltered. Data from Hydro Geo Chem, Inc. (1989).

CO DC 111 111 O 4,000 DC 2-w Q t 3,000 HI ZDC 2,000 1,000 12,000 10,000 8,000 6,000 4,000 2,000 ttAA A WELL 51 + WELL 101. AA A - + + + + +

+ + A + + + A + A + A AAA A WELL 51 + WELL 1011 A A j. A + A + A A + A YEAR Figure 5. Ground-water levels and concentrations of iron and sulfate adjacent to Miami Wash. Stollenwerk (chapter B, this report) provides details of the significant reactions. In the lower alluvium, pH increases gradually to 4.5 at a point 15 km from the lake, then increases more abruptly within 2 km to 6.1 km at site 500. Neutralized water from well 501 (table 3) had a pH of 6.1 in 1990 and contained concentrations of dissolved metals near detection limits. Neutralized water is present at the lateral fringes and below the acidic core of the plume. Uncontaminated water is present in basin fill beneath and adjacent to stream alluvium. Neutralized water discharges along the entire perennial reach. As carbon dioxide (CO2) degases and pH increases downstream, black manganese (Mn) oxide precipitates. From March 6 to March 8, 1990, samples of streamflow and shallow ground water collected at 11 sites showed that through the reach pH increased 1.5 units, Mn decreased 80 percent, and dissolved inorganic carbon decreased 45 percent. A reaction-path model using the computer program PHREEQE (Parkhurst and others, 1985) specified CO2 degassing, Mn precipitation, and calcium (Ca) dissolution to represent pH, Mn, and inorganic-carbon trends (Eychaner, 1991b). Water at the lower end of the reach had a pH of nearly 8 and contained slightly less dissolved solids than water from well 501. MINING IN FINAL CREEK BASIN Over the past century, the Globe-Miami Mining District has been one of most productive mining areas in the Nation. The total value of extracted minerals since 1878 exceeds $1 billion mainly from Cu, although other minerals have been mined in the district. The settlement and development of the area in large part was due to mining and related activities. History of Mining The history of mining in Final Creek Basin in some ways also is the history of evolving technologies to extract Cu from rock most efficiently. The technologies described below were used independently or in combination at various times and in different mines in the area. An awareness of the various technologies or methods is important because of the different effects each could have had on water chemistry in the basin. Mining began in Final Creek Basin in 1878 with the extraction of silver from the hills adjacent to Globe. Silver ore from mines in the northern Globe Hills was processed in a mill in the perennial reach of Final Creek until 1882 (Ransome, 1903, p. 115). Cu production began in 1881 and was followed by gold in 1896 and molybdenum in 1938 (Peterson, 1962, p. 81). As of 1993, only Cu is mined, although the other metals are recovered as byproducts (Greeley and Kissinger, 1990). Lead (Pb) was produced mainly from 1911 to 1953, and zinc (Zn) was produced intermittently (Peterson, 1962). Mn has been mined intermittently during periods of unusually high prices (Arizona Bureau of Mines, 1969, p. 211-225). Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

After an initial period when many companies were active, three principal mining corporations extracted ore in Final Creek Basin (Peterson, 1962). The Old Dominion Copper Company produced Cu from 1882 until 1931 from a mine at the northwest edge of Globe (fig. 1). The Miami Copper Company was organized in 1907 and began production in 1911. ICCCo was formed in 1912 and began production in 1915. The Miami and Inspiration properties are adjacent properties just north of Miami (fig. 1). Miami Copper Company purchased the Old Dominion property in 1940. Throughout the life of the district, many smaller companies have operated for short periods and generally were absorbed into the major firms. In July 1988, the Inspiration property was sold to Cyprus Miami Mining Corporation, which is the owner as of 1993. The Miami property has had several owners since 1960 and as of 1993, is operated by the Pinto Valley Division of Magma Copper Company. This report will refer to properties and companies by name as needed for clarity. Beginning in 1882, cuprite, malachite, chrysocolla, and native Cu were mined from vein deposits on the Old Dominion property (Ransome, 1903, p. 122-124). Nearly all the ore produced until 1901 was from oxidized minerals (Ransome, 1903, p. 120). During 1912 14, Inspiration experimented with ore concentration using froth flotation, and a large concentrator went into operation in 1915 (Burch, 1916). Other companies also began using flotation. Crushed ore was agitated in a water bath containing reagents that selectively aggregated SO4 minerals such as chalcocite, which is the principal mineral in the ore body (Peterson, 1962, p. 69). Air bubbled through the bath and carried the mineral to a froth at the surface, where it could be skimmed off. Leaching of mixed oxide and SO4 ores in tanks of an acid ferric SO4 solution began in 1926 at Inspiration (Peterson, 1962, p. 84); Cu metal was produced by electrolytic precipitation. Tank leaching produced solutions containing 25 to 30 g/L of Cu, of which about 5 g/L could be recovered by direct electrolysis (Sheffer and Evans, 1968, p. 44; Hardwick, 1963, p. 58). Inspiration chose to recycle solutions repeatedly between leaching and electrolysis mainly because the alternative, "precipitation with iron... means difficulties in the disposal of large amounts of waste liquor" (Van Arsdale, 1926, p. 59). The Old Dominion mine closed in October 1931, and Miami and Inspiration closed in May 1932 as prices dropped in the early 1930's. Miami Copper remained closed for about 2 years, and Inspiration was closed for about 4 years; however, Old Dominion never reopened. In 1941, Miami Copper began leaching residual Cu from the caved-in areas of earlier underground works, and Inspiration began a similar process in 1950 (Peterson, 1962, p. 85). Dilute H2SO4 was sprayed over the land surface and later collected from mine tunnels below. The resulting solutions generally contained 1 to 2 g/L of Cu (Sheffer and Evans, 1968, p. 11) and were too dilute to precipitate Cu metal electrolytically (Hardwick, 1963, p. 56). At Inspiration, similar solutions containing an average of 3.2 g/L of Cu resulted from washing tank-leached ores before discarding the solid residue (Hardwick, 1963, p. 59). Cu was recovered from these weak solutions using Fe launders (Sheffer and Evans, 1968, p. 32-44). The Cu solution was passed over shredded scrap Fe, which caused the Fe to dissolve and the Cu to precipitate as a sludge containing 60- to 90-percent Cu (Central Arizona Association of Governments, 1983, p. 39). As the remaining ore grade decreased, Inspiration began open-pit mining in 1948 in order to reduce costs (Peterson, 1962, p. 85). In 1954, Miami Copper began production by open-pit mining from an ore body that averaged 0.5-percent Cu (Peterson, 1962, p. 85). Since 1954, open-pit mining has supplied all the ore from the Inspiration property (Central Arizona Association of Governments, 1983, p. 50). In 1964, Ranchers Exploration and Development Corporation began mining and heap leaching from an ore body about 2 km west of Miami that was bordered on three sides by Inspiration property. In 1968, Ranchers became the first company to operate a commercial solvent-extraction plant to increase concentrations of Cu in solution after leaching (Larson andHenkes, 1970, p. 101). In the solvent-extraction process, leach solutions containing 1 to 5 g/L of Cu are mixed with an organic solvent (Biswas and Davenport, 1980, p. 279). Cu ions bind to the organic molecules and leave Fe, SO4, and other constituents behind. The organic liquid containing Cu is then mixed with a second aqueous solution at lower pH, which removes the Cu from the organic molecules, resulting in a solution that contains from 40 to 50 g/L of Cu that can be precipitated electrolytically. Miami Copper opened a solvent-extraction plant in 1976, and Inspiration opened a solvent-extraction plant in 1979 (Central Arizona Association of Governments, Research of Acidic Contamination of Ground Water and Surface Water, Final Creek Basin, Arizona 17

1983). Ranchers ceased operations in 1982 and was purchased by Inspiration in 1984 (Burgin, 1986, p. 73). Although solvent extraction generally has replaced iron launders for treatment of leach solutions, one small company began operating an iron launder near Miami in 1988 (Greeley and Kissinger, 1990, p. 72). Sources of Contamination Ground-water and surface-water contamination at Final Creek is the cumulative result of decades of large-scale mining on a number of properties. Because of its size, length of existence, and hydrogeologic setting, Webster Lake probably was the single biggest source of contamination in the basin. Significant contamination of water in the basin, however, was noted before the existence of Webster Lake. A well field in the Kiser area became acidic in the late 1930's. A well field 1 km south of the mouth of Miami Wash similarly became unusable in 1947, only 5 years after Webster lake was known to exist. In the mid-1980's, USEPA inspectors documented 47 wastewater, process-water, and drainage impoundments associated with one mine. Most of these impoundments were unlined, and some drained into nearby washes (Arthur, 1986, p. 6). The quantity of infiltration and intermittent spills from impoundments at this and other mines is unknown. Some mining methods have a greater potential to affect water resources than others. During solution mining, which began in the area in the 1940's, H2SO4 was distributed over waste dumps and abandoned underground mining areas (Hardwick, 1963, p. 46). At another mine, water was pumped on mine dumps. Following percolation, the solution was collected by dams in natural drainage channels. In both instances, some of the processed water probably percolated into underlying materials and into the regional aquifer. Runoff from tailings also is a probable source of contamination. When crushed and placed in tailings piles, sulfide minerals, of which pyrite is the most abundant, react with water in the presence of air to produce SO4 and acidity, which often drains into natural channels and ultimately to the regional aquifer. Remedial Action Remedial action began in the basin in the late 1970's as mining companies placed more emphasis on control of surface impoundments. Inspiration began a wastewater management program in 1979 (Timmers, 1986, p. 3) that was directed at reducing the volume of wastewater in storage. Later actions were initiated with the goal of removing contaminants already in the aquifer. The surface-drainage area contributing to Webster Lake was decreased by a series of impoundments beginning in 1979. After 1983, the original surfacedrainage area was reduced from 36 to 15 km2. After 1984, surface-drainage area was reduced to 6.4 km2, and after 1986, it was reduced to 3.2 km2 (R.A. Prescott, ICCCo, written commun., 1987). As a result of these impoundments, Webster Lake was less susceptible to overflow in response to runoff from intense or prolonged rainfall. From March to December 1986, acidic ground water discharged into low-lying areas in the Kiser area. The USEPA determined that the major source of this contamination was Webster Lake water that had entered the regional aquifer through the alluvium of Webster Gulch. The USEPA considered these flows to be discharges of pollutants from a point source to the waters of the United States, and in 1986 issued an order under the Clean Water Act to ICCCo to eliminate the sources of contamination, remove contamination already in the aquifer, and monitor water chemistry (Arthur, 1986). The administrative record leading to the order and its successive revisions includes information on the history of contamination sources. Arthur (1987b) summarized the evidence supporting the order and included two subsequent modifications of the required actions. Studies on which remediation work was based were described by Hydro Geo Chem, Inc. (1989). Webster Lake was drained beginning in late 1986 and was completely dry by June 1988 (Hydro Geo Chem, Inc., 1989, p. 8). When remediation began, lake volume was about 4.4 million m3 (table 4). Most of the water was spread on 1.8 km2 of inactive tailings piles to evaporate, and some water was used for dust control or process-makeup water. As the lake was being drained, five wells were drilled through overlying tailings into the alluvium in Webster Gulch to prevent additional contamination to the regional aquifer. Water from the wells was spread on tailings to evaporate. Wells also were completed in the plume along Miami Wash and Lower Pinal Creek to remove contaminated water from the aquifer. In May 1987, the first of nine production wells was drilled in the Kiser area for this purpose. Contaminated water also was 18 Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

Table 4. Elevation and volume of Webster Lake, Arizona, 1966-88 [Prior to August 1986, dates of measurements are unknown] Date Elevation, In meters 1,122.6 1,121.1 1,122.9 1,122.0 1,120.1 1,119.5 1,115.0 1,125.3 1,119.8 1,120.7 1,123.2 1,122.6 Volume, in cubic meters times 1,000 5,160 4,600 5,320 4,960 4,220 4,000 2,550 6,360 4,600 4,110 4,450 5,450 5,200 Date Elevation, in meters 1,122.0 1,120.6 1,120.6 1,120.5 1,119.8 1,118.9 1,118.32 1,117.82 1,116.2 1,115.0 1,113.6 1,112.0 1,110.4 Volume, in cubic meters times 1,000 4,180 4,410 4,410 4,370 4,110 3,780 3,580 3,410 2,890 2,550 2,200 1,820 1,480 Date 1 1-24-87 01-1 1-88 Elevation, In meters 1,107.1 1,106.0 1,105.6 1,103.8 1,103.4 1,103.0 1,101.5 1,101.0 1,100.4 1,099.3 1,098.0 1,095.6 1,094.7 Volume, In cubic meters times 1,000 pumped from a drift that extends into basin fill beneath Miami Wash about 1 km south of Final Creek. This water was neutralized with ammonia and pumped out of the basin to the Pinto Valley Division of Magma Copper Company. In addition, wells were installed along the alluvium between well sites 400 and 450 in order to remove contaminated water near the acidic front of the plume. This remediation, combined with variations in rainfall, had significant effects on both water levels and contaminant concentrations in the Kiser area (fig. 1) and along lower Final Creek. The saturated thickness of the alluvium in the Kiser area decreased by much as 50 percent between 1986 and 1991. From 1991 to 1993, recharge from rainfall and melting snow raised water levels as much as 18 m (fig. 5). Concentrations of dissolved Fe at sites 50 and 100 decreased by more than two-thirds and one-third, respectively, from 1986 to 1992 (fig. 5). The chemical changes observed in water in resaturated sediment provide a more complete model of short-term cleanup effects. Samples were collected in May 1991 from six wells that had been completely dewatered. In resaturated alluvium at site 400, pH remained at about 4 following rewetting, but concentrations of dissolved metals decreased. Fe decreased from 36 mg/L before drying to 0.07 mg/L following resaturation. Over the same time, 864 decreased from 2,000 to 100 mg/L. Most other constituents exhibited similar declines. SYNOPSIS OF RESEARCH ELEMENTS Research at the Final Creek toxics site has been ongoing since 1984 and has involved hydrologists and other scientists from the USGS, the USEPA, and several universities. The following chapters of this volume summarize the results of research on plume geochemistry, the role of colloids in contaminant transport in the plume, surface-water chemistry, and oxide precipitation on streambed material in the perennial reach. Stollenwerk (chapter B, this report) presents a detailed analysis of ground-water geochemistry. Stollenwerk characterized the major reactions and processes that accompany the neutralization of acidic ground water including acid-base and oxidationreduction reactions and sorption phenomena through the results of column experiments and computer geochemical models. Fe is oxidized and precipitated as Mn is reduced. The distribution of Co, Cu, and Ni in the aquifer are controlled by sorption to Fe hydroxide precipitates. Ficklin and others (199la) determined solid-phase associations of Cu, Mn, Zn, Research of Acidic Contamination of Ground Water and Surface Water, Final Creek Basin, Arizona 19

Ca, Al, and SO4 in the subsurface through the use of sequential extractions. Colloid transport was found to be unimportant in the acidic core of the contaminant plume (Puls and others, 1990, 1991). Puls (chapter C) presents the results of column experiments using Final Creek aquifer material. Puls determined conditions that favor colloid-facilitated transport of inorganic contaminants include low ionic strength, a pH range in which the colloids are stable, and increased surface charges caused by adsorption of certain ions onto the colloidal surface. In these tests, colloids were transported under favorable conditions more than 21 times faster than arsenate, a reacting contaminant. Because contaminated water at Pinal Creek has a large ionic strength and contains large concentrations of SO4, colloids probably do not play a significant role in transport at the site, even in neutralized parts of the plume. Surface water in the basin includes runoff and ground-water discharge, which vary considerably in discharge and chemistry. Brown and Eychaner (chapter D) describe the distribution of major and trace elements in surface water in the basin. As neutralized, contaminated ground-water discharges to the perennial reach of Pinal Creek, it equilibrates with the atmospheric gases. In the stream, concentrations of carbon dioxide decrease, and concentrations of dissolved oxygen increase. At the same time, pH rises from about 7 to 8. These reactions were simulated using the geochemical model PHREEQE (Parkhurst and others, 1985). The rise in pH along the perennial reach of Pinal Creek results in the precipitation of Mn oxide minerals on the streambed. In chapter D, Lind and Hem explore the sequential precipitation of Fe and Mn oxides on streambed sediments along the perennial reach of Pinal Creek. The black Mn oxides are composed primarily of rancieite and takanelite, and other minerals of varying stability. Although trace metals, such as Cu, Ni, Zn, and Pb, prefer Fe rather than Mn oxides, the latter are the primary trace metal scavengers because Mn oxides are more abundant than Fe oxides in the streambed. Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

Chapter B Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Final Creek Basin, Arizona By Kenneth G. Stollenwerk Abstract Acidic water from a copper-mining area has contaminated an alluvial aquifer and stream in the Final Creek Basin near Globe, Arizona. The most contaminated water has a pH of 3.3 and contains more than 100 millimoles per liter of sulfate, 50 millimoles per liter of iron, 11 millimoles per liter of aluminum, and 3 millimoles per liter of copper. Reactions between alluvium and acidic ground water were first evaluated in laboratorycolumn experiments. A geochemical model was developed and used in the equilibrium speciation program, MINTEQA2, to simulate breakthrough curves for different constituents from the column. The geochemical model then was used to simulate the measured changes in concentration of aqueous constituents along a flow path in the aquifer. pH was predominately controlled by reaction with carbonate minerals. Where carbonate minerals had been dissolved, sorption of hydrogen ion by iron oxides was used to simulate pH. Acidic ground water contained little to no dissolved oxygen, and most aqueous iron was present as ferrous iron. In the suboxic core of the plume, ferrous iron was oxidized by manganese oxides to ferric iron, which then precipitated as ferrihydrite. This reaction created 1 mole of manganese (II) and 2 moles of hydrogen ion for every 2 moles of ferrous iron that were oxidized. Data from the column experiments indicated that approximately half of the manganese (II) was trapped as a coprecipitate with ferrihydrite, and the remainder entered solution. Attenuation of aqueous manganese, copper, cobalt, nickel, and zinc was a function of pH and could be quantitatively modeled with the diffuse-layer, surface-complexation model in MINTEQA2. Equilibrium constants for sorption of copper, nickel, and zinc on ferrihydrite were obtained from a compilation of published sorption constants. Copper had a logK of 0.6; nickel, a logK of-2.5; and zinc, a logK of-1.99. Equilibrium constants for cobalt and manganese were fit to the column experimental data cobalt, logK was -2.0; and manganese, logK was -2.6. Aluminum precipitated as amorphous aluminum hydroxide at a pH greater than 4.7 and as a basic aluminum sulfate mineral at a pH of less than 4.7. Aqueous calcium and sulfate were in equilibrium with gypsum. After the alluvium in the column had reached equilibrium with acidic ground water, uncontaminated ground water was eluted through the column to evaluate the effect of reactants on ground-water remediation. The concentrations of iron, manganese, copper, cobalt, nickel, and zinc rapidly decreased to detection limits within a few pore volumes. All of the gypsum that had precipitated in the column initially redissolved and resulted in elevated calcium and sulfate concentrations for about five pore volumes. Aluminum and pH were the two constituents that exhibited the most potential for continued adverse effects on Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Final Creek Basin, Arizona 21

ground-water quality. The pH of column effluent remained below 4.5 for more than 20 pore volumes as hydrogen ion desorbed from ferrihydrite. Extended leaching at low pH resulted in dissolution of a basic aluminum sulfate mineral. The geochemical model accurately simulated breakthrough curves from the column and successfully simulated the distribution of constituents in the aquifer. INTRODUCTION Contamination of ground water by wastes generated from the mining and extraction of metals from ore deposits is a problem in many parts of the world. Processes that affect the mobility of these wastes are commonly evaluated with geochemical computer programs; however, the usefulness of these programs is often limited by a lack of adequate field data. Gaps in field measurements can be supplemented with data from laboratory-column experiments designed to simulate transport and chemical reactions in the aquifer. The objective of this study was to characterize the reactions that control mobility of constituents in the plume of acidic water that has contaminated the alluvial aquifer and stream in Miami Wash and Final Creek. Laboratory experiments were used in conjunction with ground- and surface-water analyses to develop a geochemical model of the aquifer that simulated the measured changes in chemical composition. DESCRIPTION OF PLUME The most likely sources of contamination are Webster Lake, which existed from 1940 to 1988 in Webster Gulch (fig. 6) and perhaps smaller acidic ponds in the area (Envirologic Systems, Inc., 1983). In 1986, the concentration of total dissolved solids in Webster Lake was 35,000 mg/L, and pH was 2.7 (Eychaner, 1988). Seepage of acidic water from Webster Lake through the former channel of Webster Gulch apparently enters the alluvial aquifer near the confluence of Bloody Tanks Wash and Russell Gulch (fig. 6). As the plume travels northward, aqueous constituents are attenuated by reaction with the alluvium. Aqueous concentrations also decrease because of dilution with uncontaminated water. Primary inflows of uncontaminated ground water are from Russell Gulch and Final Creek. The plume also is diluted by ground water flowing upward from the basin fill and by direct infiltration of surface water after precipitation. In all cases, mixing is not necessarily instantaneous, and uncontaminated water can flow parallel to the plume for hundreds of meters before complete mixing occurs. The plume of contaminated ground water is characterized by a series of chemical fronts that are defined by the geochemistry of individual constituents. The location of the contaminant plume in 1988, as defined by pH, is represented in figure 6, a longitudinal section of the aquifer from Webster Lake to Inspiration Dam. Most acidic contamination is within the unconsolidated alluvium; however, the water chemistry of the upper part of the basin fill also has been affected. The shape of the contaminant plume is actually three dimensional, and the reaction front extends not only in the longitudinal direction of flow, but also in the vertical and transverse directions to flow. On the basis of ground-water composition, the aquifer can be subdivided into three zones acidic, neutralized, and uncontaminated. Water from well 202 at site 200 (fig. 1) is representative of uncontaminated ground water in the aquifer. This water contains dissolved oxygen (DO), has nearly neutral pH, and is low in dissolved solids (table 5). Ground water in Miami Wash, the most contaminated part of the aquifer, is depleted in DO and is characterized by low pH and large concentrations of dissolved metals and sulfate (SO4). The large concentration of SO4 in acidic ground water has a significant effect on the speciation of aqueous cations. Approximately 50 percent of the calcium (Ca), magnesium (Mg), iron (Fe), manganese (Mn), copper (Cu), cobalt (Co), nickel (Ni), and zinc (Zn) in solution is transported as a SO4 complex, and more than 80 percent of the aluminum (Al) is complexed with SO4 (table 6). The front of acidic water (pH less than 5) has advanced through the alluvium at a rate of 0.2 to 0.3 km/yr (Eychaner, 199la). Neutralized ground water, defined as having pH values greater than 5, forms a three-dimensional shell of variable extent around the acidic core. Concentrations of dissolved metals are low; however, concentrations of chloride (Cl), SO4, Ca, Mg, and Mn are significantly greater than uncontaminated ground Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

METERS EXPLANATION SITE IDENTIFIER LINE OF EQUAL pH AND pH VALUE SIMULATION FLOWPATH POINT OF KNOWN pH FAULT Arrows show direction of movement ? 1,000900850800 DATUM IS SEA LEVEL VERTICAL SCALE IS GREATLY EXAGGERATED 3 MILES 3 KILOMETERS Figure 6. Distribution of pH in the aquifer. Line of section approximates the principal ground-water flow line from Webster Lake to Inspiration Dam along the channels of Webster Gulch, Bloody Tanks Wash, Miami Wash, and Final Creek. water. Neutralized ground water has reached the streamflow-gaging station, Final Creek at Inspiration Dam, where dissolved solids have been increasing since at least 1942 (Envirologic Systems, Inc., 1983; Eychaner, 1988). EXPERIMENTAL METHODS Sampling and Analytical Techniques Most ground-water samples were collected using a submersible pump. Water samples were collected only after at least three casing volumes of water had been removed and the pH, specific conductance, temperature, and dissolved-oxygen concentration had stabilized. For the analysis of dissolved constituents, both ground-water and surface-water samples were filtered through a 0.45-jj.m membrane filter and stored in polyethylene bottles. Preliminary experiments on sampling methodology found no significant concentration of colloids greater than 0.03 urn in size (Eychaner and Stollenwerk, 1985). Samples submitted for cation analysis were acidified with ultrapure nitric acid (HNO3) to a pH of approximately 1.5. Samples submitted for anion analysis were unacidified. All samples were packed in ice for shipment and stored in a refrigerator until analyzed in the National Research Program (NRP) laboratory. Random replicates also were analyzed by the U.S. Geological Survey National Water-Quality Laboratory to ensure quality control. An ionic balance for each sample was computed as: sum cations (meq/L) - sum anions (meq/L) . fl0 sum cations (meq/L) + sum anions (meq/L) ' Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Final Creek Basin, Arizona 23

Table 5. Range in concentration of constituents in uncontaminated and acidic ground water and neutralized surface water, Final Creek, Arizona [Constituent values are in millimoles per liter; pH, standard units; Eh, in millivolts; temperature, degrees Celsius; ionic balance, in percent] Constituent ,u pH Eh Temperature Dissolved oxygen (O2)... Calcium (Ca) Magnesium (Mg) Sodium (Na) Potassium (K).

Manganese (Mn). Uncontaminated Acidic Neutralized ground ground surface water water water Final Creek at Well 202 Well 051 lnsPlratlon uam (09498400) Constituent Aluminum (Al) Copper (Cu) Cobalt (Co) Nickel (Ni)

Sulfate (SO4) Chloride (CI) Bicarbonate (HCC) Ionic balance Uncontaminated ground water Well 202 Acidic Neutralized ground surface water water Final Creek at Well 051

Dam (09498400) Table 6. Speciation of selected constituents in ground-water and surface-water samples, Final Creek, Arizona [--- , no data. Speciation calculated by MINTEQA2 (Allison and others, 1991). Constituent values are in percent. Samples are taken from table 1. Constituent Ca2 CaSO4° MgS04° Na*., NaSO4' Fe FeSO4° MnZ-K Mn MnSO4°. A13+ Well Well Plnal Creek at Inspiration Dam °51 (09498400) J / OO Constituent

Cu2+ CuSO4° Co2 CoSO4° Ni2+ NiSO4° Zn2+ ZnSO4°

Well WAN Plnal Creek at Vr" Inspiration Dam (09498400) Hydrology and Geochemistry of Aquifer and Stream Contamination, Plnal Creek Basin near Globe, Arizona

where meq/L milliequivalents per liter. Any sample that did not achieve an ionic balance within ±5 percent was reanalyzed. The maximum analytical error for all analyses reported in this paper is ±10 percent at the 95-percent confidence interval. Cations were determined with a Jarrell-Ash Atom Comp 975 inductively coupled atomic-emission spectrophotometer. Chloride was determined by the ferric thiocyanate method and SO4 by the turbidimetric method (Fishman and Friedman, 1989). Ferrous iron and ferric iron were measured using the bipyridine-colorimetric procedure (Skougstad and others, 1979). Separation between and could not be achieved if the concentration of either constituent was less than 3 percent of total Fe. Dissolved oxygen was measured by probe, pH by glass electrode, and Eh with a polished platinum electrode and a silver-silver chloride reference electrode that was calibrated with Zobell's solution between measurements. The carbonate (CO32~) content of the alluvium was determined by the Chittick method (Dreimanis, 1962). Oxides of Mn and Fe were sequentially extracted from samples of alluvium. Manganese oxides were dissolved using 0.1 N hydroxylamine hydrochloride (NH2OHHC1) in 0.01 N HNO3 and shaking for 30 minutes (Chao, 1972). Amorphous iron oxides were dissolved in a solution of 0.25 N NH2OH-HC1 and 0.25 N HC1 at 50°C for 30 minutes (Chao and Zhou, 1983). Crystalline iron oxides were dissolved in 4.0 N HC1 at 90°C for 30 minutes (Ficklin and others, 1991b). Column Experiments Controlled, laboratory column experiments were used to identify reactions between ground water and alluvium. Plexiglas columns (80-cm-long by 5-cm-wide inside diameter) were packed with the less than 2-mm-size fraction of alluvium. Four experiments were run two with samples of alluvium and two with samples of basin fill. Breakthrough of individual constituents varied between columns and was primarily a function of the initial carbonate content. Results are presented from one column containing alluvium and one column containing basin fill. The alluvium sample was collected from a gravel quarry in the unconsolidated alluvium just upstream from well group 200 (fig. 2). This sampling site was necessary because zones of relatively large cobbles in the aquifer prevented collection of representative core samples for use in the laboratory experiments. Several samples were collected from the exposed sections of alluvium in the quarry and composited. Petrographic examination indicated no difference in mineralogy between the composite sample and cuttings obtained from uncontaminated alluvium during drilling of the observation wells. In addition, preliminary batch experiments conducted to test the reactivity of the composite sample and cuttings toward acidic ground water indicated no difference in reactivity. The composite sample from the gravel quarry, therefore, was assumed to represent the physical and chemical state of the unconsolidated alluvium in the aquifer before contamination. The basin-fill sample was collected from an outcrop exposed along a road cut. The large carbonate content of this basin fill resulted in a substantial amount of mineral precipitation and plugging of porosity within the column. The following discussion, therefore, focuses on the column packed with alluvium. The basin-fill experiment is discussed separately at the end of the paper. An initial baseline was established by eluting uncontaminated ground water from well 202 through the alluvium until there was no change in the concentration of dissolved constituents. Column influent was then switched to ground water collected from a well screened in the core of the acidic plume at well 050 (fig. 2; table 1). This water had been filtered into Pyrex bottles and refrigerated until used. Acidic water was pumped through the alluvium until complete breakthrough for all constituents was achieved (effluent concentration, C, equals influent concentration, C0). This process required about nine pore volumes of acidic water. Influent was then switched back to uncontaminated ground water to evaluate the restoration of water quality to precontamination levels. A peristaltic pump was used to control flow through the columns in an upward direction at an average velocity of 0.4 m/d. This velocity is less than the 5-mm/d estimate for the aquifer (Eychaner, 1989); however, a slower velocity in the columns was required because of the short travel distance. Effluent was filtered through in-line 0.4-nm polycarbonate membrane filters as it exited from the columns and was collected in an automatic-fraction collector. The entire Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Final Creek Basin, Arizona 25

experimental apparatus was enclosed in a glove box that contained a nitrogen (N2) atmosphere to simulate the reducing conditions in the core of the plume. The pH and concentration of anions in effluent fractions were measured daily. Samples to be analyzed for cations were acidified with ultrapure nitric acid (HNO3) and stored in a refrigerator until analyzed. GEOCHEMICAL MODELING A geochemical model was developed to simulate the measured concentration of constituents in column effluent. The intent was to find a minimum set of solid phases that would explain the measured chemistry. Thermodynamic equilibrium was assumed, and reaction kinetics were not considered. This assumption worked reasonably well for most constituents. Reactions used in this model represent only one possible set of plausible reactions that could be formulated to describe this system. Other potential combinations of solid phases may work equally well. Reactions were simulated with the geochemical computer program MINTEQA2 (Allison and others, 1991). The MINTEQA2 thermodynamic data bases were updated with chemical equilibrium constants from Nordstrom and others (1990). Equilibrium constants for Co were calculated using thermodynamic data from Naumov and others (1974). If the necessary parameters were available, activity coefficients were calculated using the modified Debye-Hiickel equation; otherwise, the Davies equation was used. Chloride was nonreactive in the column experiment; therefore, the effect of solute dispersion could be determined from the shape of the breakthrough curve for Cl (fig. 7). If there was no dispersion, Cl would breakthrough instantaneously at one pore volume. The experimental data show that dispersion in the column caused the Cl concentration to increase before one pore volume; Cl did not reach the influent concentration until about the second pore volume. The shape of the ascending limb of the breakthrough curve for constituents other than Cl was dominated by chemical reactions, and dispersion could be disregarded. Dispersion also was evident in the rinse out of constituents from the column. In fact, the shape of the descending limb of the breakthrough curve for some constituents was dominated by dispersion; therefore, all simulations of the rinse out of constituents from the column were corrected to reflect the amount of dispersion measured in the Cl data. After the column-breakthrough curves were simulated by MINTEQA2, the geochemical model was tested on the data set from the aquifer. This test required choosing an appropriate flow path. In contrast to the generally uniform, one-dimensional flow system of the column, the plume and the flow system in the aquifer has a three-dimensional aspect. The flow path chosen (fig. 6) connects the most contaminated well in each of the six observation-well nests and two surface-water sites. Presumably, these wells are along the same hydrologic flow path. At the very least, this flow path offers a continuous progression from the most contaminated ground water at well 051 to the least contaminated surface water at the streamflowgaging station, Final Creek at Inspiration Dam (09498400). The generally constant concentration of constituents at most of these observation points for the nine sampling rounds between November 1984 and August 1987 indicates that the observation wells were not in any zones of rapidly changing chemistry. The concentration of each constituent plotted in all of the figures of field data in this paper, therefore, is an average of the nine sampling rounds. The associated error bars show the minimum and maximum concentration at each site for the averaged time period. The exception is well 452, which was not completed until 1988. Data from this site are for just two sampling periods. In addition to simulating chemical reactions along this flow path in the aquifer, simulation of the field data also has to account for dilution of constituents in the acidic plume by ground water from other sources. Hydrologic data for the flow system in the Miami Wash-Final Creek area is too limited to determine the location and amount of mixing; therefore, a chemical tracer was used to calculate dilution between wells. The assumption was made that Cl was nonreactive. Therefore, the decrease in Cl concentration along the flow path was assumed to be a result of dilution by uncontaminated ground water. These assumptions appear to be reasonable in that there are no known sources of mineral Cl in the aquifer, and the column data indicated no precipitation or sorption of Cl. Dilution of contaminated ground water along the flow path was accomplished by using the mixing option in the geochemical computer program PHREEQE (Parkhurst and others, 1980). The volume of uncontaminated water (well 202, table 5) added to the model first was calculated from the decrease in Cl Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

LIJ CO LU DCILU Oz O O LUo o A A ' ' ' A EXPERIMENTAL SIMULATED.WITH DISPERSION --- SIMULATED, NO DISPERSION INFLUENT CONCENTRATION OF CONTAMINATED WATER PORE VOLUME Figure 7. Experimental and simulated concentrations of chloride in column effluent. concentration between successive sites along the flow path (fig. 7). The resultant mixed water then was used as the input solution for M1NTEQA2. The data in figure 8 indicate that most dilution occurs within the first 2 km as ground water from Russell Gulch and Final Creek mixes with the acidic plume. Sorption The aqueous concentrations of hydrogen ion (H+), Mn, Cu, Co, Ni, and Zn were controlled by pH-dependent sorption on oxide minerals. These reactions were simulated using the diffuse-layer surface-complexation model in MINTEQA2. Parameters that are required by the model include the mass of sorbent, its specific surface area, and the concentration of sorption sites. At least one sorption reaction and an equilibrium constant must be defined for each constituent. Surface charge and potential are computed by MINTEQA2. Sorption parameters for the diffuse-layer model are listed in table 7. The alluvium contained a mixture of potential sorbents. Iron oxides were expected to dominate sorption reactions because all of the grains in core samples were visibly coated with reddish iron oxides, even in uncontaminated alluvium. In addition, large amounts of were oxidized to and precipitated from the acidic plume. Mn and Al oxides also are present in the alluvium and are potentially important sorbents; however, it was not possible to separate the effect of Mn and Al oxides from Fe oxides. Therefore, all sorption reactions were assumed to occur on ferrihydrite

The concentration of was calculated by adding the amount of "amorphous iron oxides," determined by sequential chemical extraction of the alluvial sample, to the amount of that precipitated from solution as acidic ground water moved through the column or aquifer. Thus, the concentration of used in the simulation increased proportionally with the amount that precipitated. The surface area of 600 m2/g and the sorption site density of 3.84 nmol/m2 are values recommended by Dzombak and Morel (1990) and Davis and Kent (1990) for sorption on The equilibrium constants for H+, Cu, Ni, and Zn also were taken from Dzombak and Morel (1990; table 7, this report) and are based on an extensive compilation and interpretation of published experimental data for sorption of ions by Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Final Creek Basin, Arizona 27

DC UJ DC UJ QL CO UJ o o Z O

A MEASURED El D SIMULATED RANGE IN MEASURED CONCENTRATION AT SITE Number is site identifier. Threedigit number is well. Number in italics is streamflow-gaging station DISTANCE, IN KILOMETERS Figure 8. Measured and simulated concentrations of chloride at observation points along flow path. Table?. Sorption parameters for the diffuse-layer model, Final Creek, Arizona properties: Specific surface area, 600 meters squared per gram; concentration of sorption sites, 3.85 micromoies per square meter; concentration 1.4 1.8 gram per kilogram 1 ] Reaction number Surface-complexation reactions2 LogK =FeOH°+ H+= sFeOH2+ =FeOH°= =FeCT + H+ =FeOH°+ Cu2+ =FeOCu+ -t sFeOH°+ Co2+ sFeOCo+ =FeOH°+ Ni2+ =FeONi+ + =FeOH°+ Zn2+ =FeOZn+ 4 =FeOH°+ Mn2+ sFeOMn+ rH+ -H+ H+ H+ + H+ M.93 'Sum of initially present in alluvium plus precipitated from solution. 2sFeOH° is a surface-complexation site. 3LogK from literature review by Dzombak and Morel (1990). 4LogK by empirical fit to column data. The published logK values for Co and Mn were modified to fit the data from the column experiments. EXPERIMENTAL AND SIMULATED RESULTS pH The concentration of free and complexed H+ in acidic ground water (well 051, table 5) accounted for only 0.7 mmol/L of the total potential acidity in this sample. Additional H+ was produced by hydrolysis of metal ions and the exchange of cations for H+ on oxide surfaces. The solutes that contributed most to the acidity of ground water from well 051 are summarized in table 8. These reactions have the potential to produce 114 mmol/L of H+ and will maintain low pH values until these solutes are removed from solution. Experimental and simulated breakthrough curves were developed for pH of effluent from the column experiment (fig. 9). Initially, CO3 minerals in the alluvium buffered pH at approximately 8. The concentration of CO3 in this alluvium was 0.022 mol of CO3/kg calculated independently by the Chittick Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

method. A ratio of 90-percent calcite to 10-percent dolomite was used on the basis of the amount of Mg released to solution during the experiment. Both minerals were allowed to react in MINTEQA2 until depleted according to: value of 3.3, which indicated additional reactions of H+ with the alluvium. Two different types of reactions were considered. One possibility is alteration of silicate minerals such as feldspars: CaC0 + 2H+ Ca2+ 2NaAlSi,O0 jo + 9H-O , (1) (3) and Mg2+ Ca2+ (2) A partial pressure for carbon dioxide of 10'2 9 atmospheres was used in the simulations while carbonates were present. This value was computed from the concentration of HCO3" measured in the effluent. The rapid pH decrease to 4.4 observed in the experimental data coincided with depletion of carbonate minerals in the simulations. Even though all of the carbonate minerals in the alluvium were apparently depleted by the end of the second pore volume, an additional three pore volumes were required to finally decrease pH to the influent Table 8. Hydrogen-ion production potential for groundwater sample from well 051, Final Creek, Arizona Hydrogen, in millimoles Solute Process per liter Iron Aluminum Manganese Cobalt Copper Nickel Zinc Total Oxidation and precipitation Precipitation Reduction and sorption Sorption ...do ...do ...do r r A EXPERIMENTAL D a SIMULATED pH OF CONTAMINATED INFLUENT Influent switched to uncontaminated ground water, pH 7.2 PORE VOLUME Figure 9. Experimental and simulated pH of column effluent. Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Final Creek Basin, Arizona 29

where i FeOH

FeOH + H (4) 2NaAlSi3O8 albiteand kaolinite. Petrographic examination of thin sections made from alluvium collected during the drilling of observation wells did show that feldspars were partially to completely replaced by clay minerals. No difference was observed in the percent of altered grains between alluvium collected from the core of the plume and alluvium unaffected by the acidic ground water. Some evidence exists for reactions such as equation (3) from laboratory-batch experiments. Several different samples of alluvium were mixed with deionized water and acidified with sulfuric acid (H2SO4) to pH values of about 3.3 (after removal of CO3 minerals). In all samples, pH increased although the rate of increase was slow. Typically, a week or more was required to increase pH one-tenth of a unit, and the rate of increase slowed to nearly zero within a month. The data from these batch experiments indicated that only about 10 percent of the H+ removed from solution between pore volumes 2 and 5 (fig. 9) could have been neutralized by reaction with silicate minerals within the timeframe of the column experiment; therefore, silicate alteration was omitted in these simulations. The other reaction considered was sorption of H+ by (equation 1, table 7). Formation of =FeOH2+ is pH dependent. MINTEQA2 simulations indicated that almost all of the available oxide surfaces were saturated with H+ at pH 3.3. Simulation of pH with the diffuse-layer model resulted in an excellent fit to the experimental data for pH values less than 4.4. Perhaps the most compelling reason to simulate low pH values with a sorption mechanism is the nature of the rinse-out data. At pore volume 10, the influent solution was changed to uncontaminated ground water (fig. 9). In the absence of any reactions with the alluvium, effluent pH should have rapidly increased to the influent value of 7.2 within a few pore volumes. Effluent pH increased gradually as indicated by the rinse-out data in figure 9. Even after 20 pore volumes of water with a pH of 7.2 had eluted through the column, pH was only 4.6. The experimental pH was simulated by allowing disassociation of the =FeOH2+ surface complex: As a consequence of this reaction, HCO3" in uncontaminated water was removed from solution by reaction with H+. Bicarbonate was not detected in any of the effluent even though the concentration of HCO3" in the influent water was 2.3 mmol/L. MINTEQA2 simulations indicated that approximately 50 percent of the surface sites were still saturated with H+ at pore volume 30. Additional simulations predicted that an additional 18 pore volumes of uncontaminated water needed to be eluted through the column to increase pH to 7.2. Considerable time may be required to restore the pH of ground water to precontaminant conditions. The change in pH of ground water along the flow path chosen for the aquifer simulations (fig. 10) was simulated with the same reactions that were used to simulate pH in the column experiment. The acidic core of the plume, characterized by a pH of less than 4.5 extended 10 km downgradient from the starting point of the simulations. Carbonate minerals should have previously been removed from this reach of aquifer, so pH was simulated by a combination of sorption on and neutralization of H+ by HCO3" in uncontaminated ground water that mixed with the plume. Reaction with HCO3" removed 20 percent of the total H+ from solution along the first 10 km and the remainder was sorbed. CO3 minerals were assumed to be present in the aquifer only if the pH of the ground water was greater than 4.5, as was the case between kilometer 10 and kilometer 12. The sharp increase in pH along this reach defined the transition zone between acidic and neutralized ground water. Actual concentration of carbonate in alluvium between these observation wells could not be determined; therefore, the actual amount of carbonate dissolved between kilometer 10 and kilometer 12 was used as a fitting component to simulate the measured pH. The ratio of calcite to dolomite in the aquifer was assumed to be the same as that used in the column experiment. pH of the two surface-water sites also was near equilibrium with CO3 minerals. Iron Ferrous iron is the dominant cation in acidic ground water; its chemical reactions have a significant effect on the mobility of other solutes. In the column experiment, was completely removed from solution until pore volume 2; then the effluent Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

A MEASURED D D SIMULATED RANGE IN MEASURED CONCENTRATION AT SITE Number is site identifier. Threedigit number is well. Number in italics is streamflow-gaging station DISTANCE, IN KILOMETERS Figure 10. Measured and simulated pH of ground water and surface water at observation points along flow path. concentration rapidly increased to the influent concentration of 55 mmol/L (fig. 11). In fact, the concentration of actually exceeded 55 mmol/L between pore volumes 3 and 4. Apparently, some may have been sorbed by the alluvium initially and was remobilized as pH decreased. Sorption of was not considered in the model. Experimental and thermodynamic evidence indicate that the most plausible mechanism for attenuation of Fe was oxidation of to followed by precipitation of : (5) Jarosite the only other mineral that was supersaturated with respect to Fe, could not be detected in reacted column alluvium or in cuttings from the aquifer by either X-ray diffraction or electron microprobe and was not considered in this study. Jarosite supersaturation without precipitation has been reported elsewhere (Nordstrom and others, 1979). Apparently some kinetic inhibition to precipitation does exist. Equation (5) requires an electron acceptor. Although several potential oxidants could be considered for this system, most can be excluded. Oxidation of by oxygen (O2), nitrate (NO3~), and nitrite (NO2~) would be thermodynamically favorable; however, O2 was excluded from the column experiment, and the concentrations of NO3" and NO2" in acidic ground water were below detection. SO4 and carbon dioxide (CO2) were present in solution; however, oxidation of by these species was computed to be thermodynamically unfavorable. Likewise, independent experiments verified that the N2 atmosphere of the glove box had no effect on the oxidation state of Fe. The most plausible oxidants in this system are Mn oxide minerals such as birnessite (MnO2), which generally are abundant in alluvium that has not been in contact with the acidic plume. Oxidation of by Mn oxides has been described by Asghar and Kanehiro (1981) who measured an increase in the amount of Mn that could be leached from soil upon addition of Traina and Doner (1985), Golden and others (1986), Krishnamurti and Huang (1987) have found that is readily oxidized by synthetic birnessite [Mn7O| 3-5H2O]. No attempt, however, was made to exclude atmospheric O2 from any of these experiments, which complicates interpretation of reaction rates and Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Final Creek Basin, Arizona 31

I I I I I A EXPERIMENTAL D D SIMULATED Co INFLUENT CONCENTRATION OF CONTAMINATED WATER PORE VOLUME Figure 11. Experimental and simulated concentrations of total dissolved iron in column effluent. stoichiometry. Postma (1985) conducted laboratory experiments under a N2 atmosphere. Postma's results confirmed that synthetic biraessite oxidized in the absence of O2 and yielded a ratio of 1.7 mol of oxidized per mole of produced. MINTEQA2 simulations indicated that the following overall reaction between the acidic water and alluvium was thermodynamically feasible: 2Fe +

(6) For every 2 mol of oxidized, 1 mol of and 2 mol of H+ should have been produced. A total of 37 mmol of were removed from solution in the column experiment. This amount is equivalent to 14.2 mmol oxidized per kilogram of alluvium. According to equation 6, at least 7.1 mmol/kg of MnO2 should have been in the column alluvium initially to account for the measured oxidation. The actual concentration and oxidation state of Mn oxides in the alluvium were difficult to determine. In freshly precipitated oxides, the oxidation state of Mn generally ranges from 2.67 to about 3.00; however, these oxides are unstable under oxic conditions and tend to eventually alter to MnO2 (Hem and Lind, 1983). Considering that the alluvium used in the column experiment had been exposed to oxic conditions for several years, probably was the dominant oxidation state. A semiquantitative estimate of the Mn oxide content of alluvium used in the column experiment was made using the sequential chemical-extraction technique. A total of 6.2±0.4 mmol/kg of Mn were measured in the Mn oxide extractable fraction of alluvium. An additional 2.4±0.3 mmol/kg of Mn was associated with amorphous . If all of this Mn were available for reaction with then there was a total of 8.6±0.7 mmol Mn oxides per kilogram of alluvium, which is more than enough to account for the observed oxidation of in the column. Furthermore, sequential chemical extraction of the reacted alluvium after completion of the column experiment measured a decrease in Mn oxide content from 6.2 to 0.23 mmol/kg, which is an observation that is consistent with equation 6. An increase in concentration of Mn in the effluent gives additional evidence for equation 6. Effluent Mn concentrations indicate that a total of 3.3 mmol of Mn were solubilized per kilogram of alluvium. Although this amount is only 46 percent of the 7.1 mmol/kg predicted to dissolve, it is still substantial and could not be explained by simple dissolution of any known Mn Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

mineral. The concentration of Mn in the carbonate extractable fraction was small. The remaining that should have been formed was found to be associated with the amorphous extractable fraction; Mn associated with increased from 2.4 mmol/kg before the column experiment to 4.4 mmol/kg after leaching with acidic water. Possibly, some of the formed by oxidation of coprecipitated with . A separate batch experiment was conducted to quantify equation 6 under conditions that eliminated the possibility of Mn coprecipitation (table 9). Briefly, 100 mL of water collected from Webster Lake was mixed with 30 g of alluvium in a N2 atmosphere. The pH of water from Webster Lake was 2.8 and was acidic enough to prevent precipitation of and coprecipitation of Mn. The large ratio of in the initial solution 3:1 was a result of Webster Lake being open to the atmosphere, which allowed oxidation of by O2. Complete oxidation of in Webster Lake apparently was inhibited by the low pH (Stumm and Morgan, 1981, p. 467). In control experiment A, no change occurred in the concentration of or Mn in acidic water without the alluvium. Control experiment B was designed to measure the potential amount of Fe and Mn that could be dissolved from the alluvium at low pH by adjusting the pH of a deionized wateralluvium suspension to 2.8 with sulfuric acid. No Mn was dissolved from alluvium at this pH. Some Fe was dissolved in control experiment B, and the Fe concentration increased to 3 mmol/L. When alluvium was added to the acidic water from Webster Lake replicates C 1 and C 2 the concentration of decreased from 14 mmol/L to 0 and increased correspondingly. Manganese increased from 1.4 mmol/L to 9.2 mmol/L. Approximately 1.8 mol of therefore, was oxidized per mol of Mn dissolved, which computes to an average oxidation number of 3.8 for Mn in this alluvial sample. The initial concentration of MnO2 used to simulate the experimental data was 7.1 mmol/kg (fig. 11). This amount was required to quantitatively oxidize the 14.2 mmol/kg of that was removed from solution and is similar to the concentration of Mn oxides measured by sequential extraction. Iron in the pore water of the alluvium was rinsed rapidly from the column by uncontaminated water (fig. 11). Concentrations approached detection limits within 3 pore volumes, which indicates essentially all of the Fe that precipitated initially remained in the alluvium. The concentration of Fe along the flow path chosen to simulate changes in aquifer chemistry is plotted in figure 12. Iron concentrations decreased from 53 mmol/L at well 051 to near the limit of detection in ground water 11 km downgradient. Dissolved Fe was not detected in surface water. Data indicate that oxidation of by Mn oxides takes place in the aquifer as well. Ficklin and others (1991b) used sequential chemical extraction to identify elements associated with the carbonate, MnO2, and FeO2 phases of alluvium collected from five splitspoon samples from drill holes in contaminated, neutralized, and uncontaminated sections of the Table 9. Oxidation of ferrous iron by manganese oxides, Pinal Creek, Arizona [Procedure: All experiments were conducted in 250-milliliter Pyrex bottles under a nitrogen atmosphere] Concentration, in millimoles per liter Treatment A 1 B2 Ferrous iron Initial Ferric iron Manganese Ferrous iron Final Ferric iron Manganese Ratio of moles per ferrous iron, oxidized to moles per manganese, dissolved 1.8:1 1.8:1 'Nitrogen control 100 milliliters (mL) of water from Webster Lake. pH, 2.8. 2pH control 30 grams (g) of alluvium in 100 mL of deionized water and acidified to pH 2.8 with sulfuric acid. 3Replicates Each beaker contained 30 g of alluvium in 100 mL of ground water. Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Pinal Creek Basin, Arizona 33

aquifer. Ficklin and others (1991b) data show that little MnO2 is in the alluvium from the core of the plume at well 101 compared with the larger content of MnO2 in neutralized and uncontaminated alluvium. This observation is consistent with the depletion of MnO2 in the column-reacted alluvium. Two additional mechanisms affect the concentration of Fe in the aquifer. First of all, the concentration of Fe is decreased by physical dilution with uncontaminated ground water. Secondly, DO is present in parts of the aquifer and can oxidize according to the following reaction: 3 +8H (7) The only oxygen of concern in these simulations is that added to the plume by mixing with uncontaminated ground water that contained about 0.25 mmol/L of DO. Some atmospheric O2 also diffuses directly into the aquifer across the air and water interface; however, this process did not affect the chemistry of Fe along the ground-water part of the flow path in these simulations. Atmospheric O2 rapidly reacts with and near the water table and is depleted before it can diffuse to the core of the plume. A zone of greater MnO2 and FeO2 content has been identified in alluvium at the water table (Ficklin and others, 1991b). The primary solid phase controlling the solubility of Fe in the aquifer appears to be Grains of alluvium coated with thick crusts of were identified in many cuttings from the core of the plume. The redox state of most ground-water samples was close to the boundary, although most Eh values were about 100 to 200 mV lower than equilibrium and was not surprising considering the errors that are inherent in most Eh measurements. Errors in Eh measurements are caused by mixed potentials, irreversible redox reactions, and other factors that have been discussed in great detail by Lindberg and Runnells (1984). The most accurate Eh measurements usually are obtained from solutions dominated by the Fe2+/Fe3+ redox couple (Morris and Stumm, 1967; Nordstrom and others, 1979). Concentrations of Fe2+ and Fe3+, however, should be at least 10"5 mol/L in order to provide an exchange current at the electrode-solution interface that is great enough to establish a Nernstian Eh (Stumm and Morgan, 1981). If the assumption that is in equilibrium with is accurate, the cr in cr in a. to UJ

z 30 O UJoz o o ocr ' ' A MEASURED D D SIMULATED MEASURED pH RANGE IN MEASURED CONCENTRATION AT SITE Number is site identifier. Threedigit number is well. Number in italics is streamflow-gaging station 12 DISTANCE, IN KILOMETERS o14 , 09498400 -ElI Q. Figure 12. Measured and simulated concentrations of total dissolved iron and measured pH at observation points along flow path. Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

concentration of Fe3+ in the ground-water samples plotted in figure 8 would range from 10"7 to 10"9 mol/L, which is well below the concentration required to establish an accurate equilibrium Eh. The concentrations of Fe along the first 2 km of the flow path (fig. 12) were simulated using only dilution and is consistent with data from Ficklin and others (1991b), which indicated a lack of Mn oxides in this reach of the aquifer. From kilometer 2 to kilometer 11, dilution was not as significant, and oxidation by MnO2 became the primary mechanism for removing from solution. The actual mass of MnO2 in alluvium along this part of the flow path was not known. Therefore, the quantity of MnO2 added in each simulation was based on the quantity of that had to be oxidized to match the measured concentration of in the aquifer. Manganese Reductive dissolution of Mn oxides by resulted in a net release of Mn to solution in the column experiment (fig. 13). Manganese concentrations as high as 17.5 mmol/L were measured in the effluent; whereas, the influent concentration was only 1.4 mmol/L. As was discussed in the previous section, the total amount of Mn dissolved from the alluvium 3.3 mmol/kg was substantially less than the 7.1 mmol/kg predicted to dissolve by equation 6. Three mechanisms can be hypothesized to explain why all of the that should have been formed by equation 6 was not measured in effluent. The first possibility is that complete reduction of to may have been inhibited by the formation of an coating on the Mn oxides. Stone and Morgan (1987) have suggested a two-step reaction sequence similar to the following equations. Adsorption sMnIVOH + Fe2+ (3MnIVOFe")+ + K Electron transfer (sMnIVOFen)+ + H2O =MnHIOFell!OH (8) (9) The in this oxide phase could be shielded from further aqueous therefore, the amount of Mn in solution would be less than expected from equation 6. A second possibility is that some formed by oxidation of may have been occluded from the flowing phase by coprecipitation with Some evidence exists for such a process ' A EXPERIMENTAL D D SIMULATED EXPERIMENTAL pH INFLUENT CONCENTRATION OF CONTAMINATED WATER PORE VOLUME Figure 13. Experimental and simulated concentrations of manganese and experimental pH in column effluent. Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Final Creek Basin, Arizona 35

from the shape of the breakthrough curve in figure 13. After the initial spike, Mn concentrations never returned to the influent concentration. This slow leaching of Mn from the alluvium is consistent with diffusion of trapped in to the flowing phase. Also, sequential chemical extraction of the reacted alluvium after completion of the column experiment did measure an increase in the amount of Mn associated with amorphous Fe oxides. Cornell and Giovanoli (1987) have described a Mn substituted that was precipitated in laboratory experiments. The third possibility is that solubility may have been controlled by a discrete mineral phase that was not listed in any of the thermodynamic data bases used in this study. Most of the Mn that was measured in the column effluent could be simulated using the diffuse doublelayer model. A logK of-2.6 (equation 7, table 7) gave the best fit to the experimental data. This value generally is close to the logK of-3.5 estimated by Dzombak and Morel (1990) for sorption of Mn on fresh amorphous The simulations correctly predicted that essentially all of the Mn in the influent as well as the Mn reduced by should be sorbed at pH values greater than 7.7. Sorption was modeled as an irreversible reaction to simulate coprecipitation of Mn with As pH decreased below 7.7, sorption decreased and the concentration of Mn in the effluent rapidly increased. Less than 1 percent Mn was sorbed at pH 4.4. The concentration spike of Mn between pore volumes 2 and 3 correlated with the decrease in pH and represents the Mn reduced by that was not sorbed. In contrast to the measured effluent concentration, the model indicated that Mn should rapidly decline to the influent concentration after depletion of the available MnO2. No attempt was made to model the apparent diffusion-controlled leaching of Mn from alluvium between pore volumes 3 and 11. The concentration of Mn rapidly approached the detection limit when the influent was switched to uncontaminated ground water. The uncontaminated water contained DO that would be expected to reoxidize in the alluvium and prevent any further leaching. Manganese in ground water and surface water was simulated by a combination of dilution, sorption, and precipitation. The decline in Mn concentrations along the first 2 km of the flow path, which was the most acidic (pH <4) was successfully simulated by dilution alone and is consistent with the fact that the decrease in along this same stretch of aquifer was simulated without reduction of MnO2 (fig. 14). Sequential chemical-extraction data indicated that Mn oxides were depleted from the most acidic part of the plume. Alluvium collected from well group 100 (1 km) contained only 0.1 mmol/kg of Mn oxides; whereas, alluvium from Russell Gulch, which is upgradient from the contaminated aquifer, contained an average of 1.5 mmol/kg of Mn (Ficklin and others, 1991b). Also, the amount of exchangeable Mn at well group 100 increased. These field results are comparable to results obtained from the column experiments where Mn oxides in reacted alluvium were only 6 percent of the unreacted concentration. The measured increase in the concentration of Mn in ground water between 2 and 9 km could be simulated by the reductive dissolution of MnO2. Initial computer simulations, however, predicted less than 1 percent sorption of Mn at wells 402 (pH 4.18) and 452 (pH 4.26); therefore, the simulated concentrations of Mn were much greater than measured concentrations. The column data indicated that about 65 percent of the Mn that was reduced by remained in the solid phase. The same mechanism, therefore, was assumed to have occurred in the aquifer, and aqueous Mn at wells 402 and 452 was simulated by removing 65 percent from solution as a coprecipitate after all reactions had taken place. Subsequent simulated concentrations of Mn in solution at well 402 were still too large, and at well 452, simulated concentrations of Mn were too small. The results, however, are more comparable to the field data than they would have been if no correction been applied. Although this approach can be justified on the basis of the chemistry of Mn and Fe in the column experiment, there are not enough data on the solid-phase associations of Mn or the kinetics of these reactions to quantify the process. Simulations of aqueous Mn were more accurate along the remainder of the flow path (fig. 14). The decrease in Mn from kilometer 10 to kilometer 11.5 corresponded with an increase in pH to 5.9, and was accurately simulated by sorption using the logK determined for the column data. Ground-water discharges at the surface near kilometer 12 and becomes oxygenated. Manganese precipitates as an oxide and coats the streambed. The concentrations of Mn in surface-water samples taken at kilometer 12 and kilometer 16 were simulated by assuming equilibrium with birnessite. Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

LLJ W LU LU Oz O O LU W LU O

' ' r A MEASURED D D SIMULATED MEASURED pH RANGE IN MEASURED CONCENTRATION AT SITE Number is site identifier. Threedigit number is well. Number in italics is stream low-gaging station DISTANCE, IN KILOMETERS Figure 14. Measured and simulated concentrations of manganese and measured pH at observation points along flow path Copper, Cobalt, Nickel, and Zinc Experimental breakthrough curves for Cu, Co, Ni, and Zn were similar and are typical of the pH-dependent sorption of cations on oxide surfaces (figs. 15-15D). Concentrations were below the limits of detection at pH greater than 7 and then rapidly increased as the pH of column effluent decreased. The spike in the concentration of Cu, Co, and Ni can be explained by desorption as the acidic front eluted through the column. Mass-balance calculations indicated that all of the Ni initially removed from solution was desorbed compared to 25 percent of the Co and only 6 percent of the Cu. Evidence indicates that the Cu retained by the alluvium was associated with Fe oxides. The amount of Cu irreversibly sorbed was 0.95 mmol/kg, which compares well with the 0.91 mmol/kg Cu that was chemically extracted from the reacted alluvium. Electromicroprobe analyses of reacted alluvium measured as much as 10 percent by weight of Cu associated with Fe oxides. The irreversibly sorbed Co also was associated with Fe oxides. A concentration spike also was measured for Zn; however, preliminary leaching experiments indicated the potential for Zn contamination at low pH from some of the components used in column construction. Only the initial part of the breakthrough curve and the rinse-out curve, therefore, are plotted for Zn. The diffuse double-layer model was used to simulate the breakthrough curves for Cu, Co, Ni, and Zn. Equilibrium constants for sorption of Cu, Ni, and Zn (table 7) were reported by Dzombak and Morel (1990) for sorption on . The equilibrium constant for Co was the value that gave the best fit to the experimental data. The pH at which the four metals were first detected in column effluent and the steep rise in concentration were accurately simulated (figs. 15-15D). The concentration spikes were simulated by desorption. The amount of each metal that was allowed to desorb in the model was equal to the amount actually measured in the column experiment. All of the Ni was allowed to desorb; however, only 25 percent of the Co and 6 percent of the Cu was allowed to desorb. The model indicated that desorption should be almost instantaneous. Actual concentrations approached influent values more slowly and probably reflected the slower process of diffusion out of pores of stagnant water within the column. The concentration of all four metals decreased to below detection limits Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Final Creek Basin, Arizona 37

A EXPERIMENTAL D D SIMULATED EXPERIMENTAL pH INFLUENT CONCENTRATION OF CONTAMINATED WATER PORE VOLUME B A EXPERIMENTAL D D SIMULATED EXPERIMENTAL pH Co INFLUENT CONCENTRATION OF CONTAMINATED WATER PORE VOLUME Figure 15. Experimental and simulated concentrations of constituents and experimental pH in column effluent. A, Copper; B, Cobalt; C, Nickel; D, Zinc. Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

A EXPERIMENTAL D D SIMULATED EXPERIMENTAL pH Cn INFLUENT CONCENTRATION OF CONTAMINATED WATER PORE VOLUME UJ UJ Co, -, g

UJ O O N o/ww A EXPERIMENTAL D D SIMULATED EXPERIMENTAL pH INFLUENT CONCENTRATION OF CONTAMINATED WATER ywwwv Q. PORE VOLUME Figure 15. Continued. Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Pinal Creek Basin, Arizona 39

within a few pore volumes after switching back to uncontaminated ground water. The concentrations of Cu, Co, Ni, and Zn along much of the aquifer also were a function of pH (figs. 16A 16£>). The diffuse double-layer model predicted no sorption of Co, Ni, or Zn in the first 10 km because of the low pH. Concentrations along this part of the aquifer were simulated only by dilution. The decrease in concentration downgradient from kilometer 10 corresponded with the increase in pH and was simulated by sorption on . Sorption of Cu was predicted throughout the entire flow path, even in the acidic core of the plume. The combination of dilution plus sorption accurately simulated Cu in ground water. Aluminum The concentration of Al in column effluent was a function of both pH and the concentration of SO4 (fig. 17). Mass-balance calculations by MINTEQA2 indicated that precipitation of amorphous caused the complete removal of Al from the first 2.5 pore volumes of acidic influent. As pH decreased to less than 4.7, several aluminum sulfate minerals became supersaturated, including jurbanite (A1SO4OH-5H2O), alunite and a basic aluminum sulfate (A1OHSO4). Jurbanite has been reported to form only in environments more acidic than existed in the column, and evidence exists for kinetic inhibition to precipitation of alunite at low temperatures (Nordstrom, 1982). Neither mineral, therefore, was considered to control Al solubility. The logK for A1OHSO4 3.23 was closest to the experimental-ion activity product for most effluent samples. Accordingly, A1OHSO4 was used to control the solubility of Al at a pH of less than 4.7. The logK, however, was changed to 2.2 to provide the most accurate fit to the experimental data. The combination of amorphous and A1OHSO4 yielded an excellent match of the experimental breakthrough curve. MINTEQA2 simulations also indicated that the that precipitated initially should have dissolved and reprecipitated as A1OHSO4 as the low pH, SO4 -rich water eluted through the column. Aluminum in the interstitial pore water was rapidly rinsed from the column initially; however, concentrations leveled off at about 0.6 mmol/L by pore volume 14. The experimental data from pore volume 12 through 18 were modeled by allowing dissolution of A1OHSO4. By pore volume 18, only 10 percent of the A1OHSO4 in the column had dissolved. Thus, a significant reservoir of Al remained in the alluvium and was predicted to continually leach into solution as long as pH remained low. As pH increased, regained control over Al solubility. The combination of amorphous and A1OHSO4 as controls on concentrations of aqueous Al worked reasonably well in simulating Al in the aquifer (fig. 18). The simulated concentrations plot within the range of concentrations of Al measured in the aquifer with the exception of well 402 at kilometer 5.8. A1OHSO4 controlled solubility in the first 10 km where pH was less than 5. Precipitation of gibbsite maintained Al below detection limits along the remainder of the flow path. Calcium and Sulfate The concentration of Ca and SO4 in the acidic ground water used in the column experiment were in equilibrium with gypsum (CaSO42H2O), and concentrations in the column effluent were simulated reasonably well by maintaining equilibrium with gypsum (figs. 19/1 195). As acidic water moved through the column, dissolution of calcite initially released a large amount of Ca. Although much of this Ca precipitated with SO4, concentrations as large as 26 mmol/L were measured in the effluent. This value is more than twice the concentration in the influent solution. Sulfate concentrations were kept low initially as gypsum precipitated. As carbonates were depleted, Ca decreased and SO4 increased until influent concentrations were reached. Effluent from the column was apparently supersaturated with respect to gypsum, and gypsum precipitated in the collection tubes. Equilibrium with gypsum indicated that there should have been less Ca and SO4 in solution than was actually measured between pore volumes 1 and 5. The kinetics of gypsum precipitation in this system appeared to be a function of ionic strength. As ionic strength increased, the degree of supersaturation decreased, and the simulated concentrations approached the experimental values. Gypsum began to dissolve when uncontaminated ground water was eluted through the column. All of the gypsum initially precipitated was dissolved by pore volume 17, and concentrations of Ca and SO4 decreased to the influent values of uncontaminated water. Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

Data indicates that gypsum probably precipitates in the aquifer. Most gypsum identified in cuttings from the aquifer was cryptocrystalline; however, selenate blades as much as 1 cm long have been identified in some parts of the acidic plume. Growth of such large crystals probably was related to zones rich in carbonate minerals where dissolution provided a continuous source of Ca. Simulations by MINTEQA2 predicted gypsum precipitation at each point along the flow path except for the last one at kilometer 17 where gypsum was undersaturated (figs. 205). The concentration of Ca increased along the flow path and reflected dissolution of calcite and dolomite. Precipitation of gypsum and A1OHSO4 and dilution caused concentrations of SO4 to decrease. At Inspiration Dam, the measured concentrations of Ca and SO4 were greater than concentrations of Ca and SO4 in uncontaminated water in this area. BASIN-FILL EXPERIMENT Basin fill, which underlies the alluvium, has a much smaller hydraulic conductivity and tends to act as a barrier to downward migration of acidic water. Data, however, indicates that acidic ground water has contaminated some of the upper basin fill near the contact with alluvium (Eychaner, 199la). The following discussion of the basin-fill column experiment describes the effect of increased carbonate content on transport of constituents in acidic ground water. PH The sample of basin fill packed in the column contained 0.15 mol/kg of carbonate minerals, which is almost seven times the carbonate content of the alluvium. As would be expected, the basin fill neutralized more pore volumes of acidic ground water (fig. 21). In fact, pH never decreased to less than 6 during the course of the experiment that lasted for 16 pore volumes. Initial attempts to model the column results using the same geochemical model developed for the alluvium predicted that the pH should have been buffered near 8 until all of the carbonate minerals were dissolved. At approximately pore volume 9, pH should have rapidly decreased to 3.3, which is the influent pH. The gradual decrease in pH in the experimental data indicates disequilibrium between acidic water and carbonates. Disequilibrium probably developed as carbonates became coated by precipitation of gypsum, iron, and aluminum hydroxides. Effluent became a mixture of acidic water that had not come into contact with carbonates and water that had been neutralized by the remaining coated carbonates. By pore volume 8, the amount of precipitation had become great enough to significantly reduce the velocity of water through the column. The amount of Ca, SO4, Fe, and Al that precipitated in the basin fill was estimated (table 10). The amount precipitated by the alluvium is listed for comparison as well as the amount of Cu, Co, and Ni that were sorbed by both sediment types. The greater carbonate content of basin fill resulted in a significant increase in attenuation of constituents. The lack of equilibrium in this experiment made simulation of most constituents difficult. Only the pHdependent sorption of Co, Cu, Ni, and Zn; and the pH-dependent precipitation of Al were simulated. Iron and Manganese Fe did not begin to break through until about pore volume 6 (fig. 22). The assumption was that oxidation by manganese oxides caused precipitation of a significant fraction of the 80 mmol/kg of that were removed from solution. Sorption of at the higher pH values, and substitution of in carbonate minerals, however, cannot be discounted. Mn began to break through near pore volume 4 and exhibited the same type of concentration spike observed in the alluvium. The peak concentration of Mn in the spike was 33 times the influent concentration. Copper, Cobalt, Nickel, and Aluminum Cu and Ni began to break through near pore volume 5, when pH values decreased to less than 7 (fig. 23). This reaction is consistent with the pH-dependent sorption observed in the alluviumcolumn experiment. The basin-fill data were simulated using the diffuse-layer model and the equilibrium constants for Co and Ni (table 7). The model was able to match the experimental data reasonably well. Cu and Al were not detected in effluent from the basin fill, which is consistent with predictions by the Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Final Creek Basin, Arizona 41

LU Q. CO LU O LiJ O O O LiJ Q. Q. O O 051 g 3 A MEASURED D D SIMULATED MEASURED pH RANGE IN MEASURED CONCENTRATION AT SITE Number is site identifier. Threedigit number is well. Number in italics is stream low-gaging station 5011 09498380, 11*1 DISTANCE, IN KILOMETERS -d10 Q. B Q. CO LiJ Q 0.2 U LIJ O O O m O o ' ' A MEASURED D D SIMULATED MEASURED pH RANGE IN MEASURED CONCENTRATION AT SITE Number is site identifier. Threedigit number is well. Number in italics is streamflow-gaging station DISTANCE, IN KILOMETERS Q. Figure 16. Measured and simulated concentrations of constituents and measured pH along flow path. A, Copper; B, Cobalt; C, Nickel; D, Zinc. Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

Uj O O O

UJ*O t_i uj CO UJ O O

A MEASURED D D SIMULATED MEASURED pH RANGE IN MEASURED CONCENTRATION AT SITE Number is site identifier. Threedigit number is well. Number in italics is streamflow-gaging station DISTANCE, IN KILOMETERS Q. t_j UJ Q. CO UJ UJ O O O Oz N Z 051 n A MEASURED D D SIMULATED MEASURED pH RANGE IN MEASURED CONCENTRATION AT SITE Number is site identifier. Threedigit number is well. Number in italics is streamflow-gaging station DISTANCE, IN KILOMETERS Q. Figure 16. Continued Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Final Creek Basin, Arizona 43

A EXPERIMENTAL D D SIMULATED WITH DISPERSION - - - - EXPERIMENTAL pH INFLUENT CONCENTRATION OF CONTAMINATED WATER PORE VOLUME Figure 17. Experimental and simulated concentrations of aluminum and experimental pH in column effluent. LLJ LLJ Q. CO LU o o o n

A MEASURED III D SIMULATED MEASURED pH RANGE IN MEASURED CONCENTRATION AT SITE Number is site identifier. Threedigit number is well. Number in italics is streamflow-gaging station Q. DISTANCE, IN KILOMETERS Figure 18. Measured and simulated concentrations of aluminum and measured pH at observation points along flow path. Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

A EXPERIMENTAL D D SIMULATED Co INFLUENT CONCENTRATION OF CONTAMINATED WATER PORE VOLUME B A EXPERIMENTAL D D SIMULATED INFLUENT CONCENTRATION OF CONTAMINATED WATER PORE VOLUME Figure 19. Experimental and simulated concentrations of constituents in column effluent. A, Calcium; B, Sulfate. Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Final Creek Basin, Arizona 45

DC UJ DC UJ CO UJ d UJo o o o

o A MEASURED IH D SIMULATED RANGE IN MEASURED CONCENTRATION AT SITE Number is site identifier. Threedigit number is well. Number in italics is streamflow-gaging station DISTANCE, IN KILOMETERS B DC UJ CO UJ O UJ O O O UJ CO Figure 20. A, Calcium; EJ051 ' n A MEASURED D D SIMULATED RANGE IN MEASURED CONCENTRATION AT SITE Number is site identifier. Threedigit number is well. Number in italics is streamflow-gaging station

m DISTANCE, IN KILOMETERS Measured and simulated concentrations of constituents at observation points along flow path. B, Sulfate. Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

Q. UJ5 w Q. W A BASIN FILL D ALLUVIUM D A A PORE VOLUME Figure 21 . Experimental pH in effluent from basin-fill and alluvial columns. Table 10. Mass of constituents removed by alluvium and basin fill, Final Creek, Arizona Constituent Alluvium Basin fill Millimoles per kilogram precipitated Calcium plus Iron Aluminum ... i sulfate Millimoles per kilogram sorbed Cobalt Copper Nickel geochemical model. The geochemical model indicated that all of the Cu should sorb at pH values greater than 6, and Al should precipitate as . CONCLUSIONS A geochemical model was developed to define the evolution of a plume of acidic ground water in an alluvial aquifer in Final Creek, Arizona. Reactions that controlled the concentration of selected constituents were identified by evaluating ground-water analyses in conjunction with data from laboratory experiments. The model was calibrated first by adjusting reaction hypotheses and equilibrium constants in order to match concentrations in breakthrough curves from a laboratory-column experiment. The model then was made to simulate the change in ground-water composition along a one-dimensional flow path in the aquifer. The main conclusions are as follows. 1. Cl was shown in column experiments to be nonreactive and therefore could be used to estimate the amount of dispersion in breakthrough curves from the column experiment and the amount of dilution of the acidic plume in the aquifer. 2. H+ was neutralized primarily by reaction with carbonate minerals. These reactions generally were rapid and resulted in a steep gradient in pH over a short distance. In parts of the aquifer where carbonates were depleted and pH was less than 4.5, sorption on ferrihydrite was the dominant control on pH. Reaction with silicate minerals may have some effect on pH; however, reaction rates are probably too slow to have any significant effect onpH. 3. The concentration of Fe in the alluvial aquifer was controlled by oxidation of to and Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Final Creek Basin, Arizona 47

coz o *-H 2 If! UJ t o-1 ZCC O UJ QQ. UJ CO on CO LU JU UJ 2 A EXPERIMENTAL IRON CONCENTRATION D EXPERIMENTAL MANGANESE CONCENTRATION C0 INFLUENT CONCENTRATION OF CONTAMINATED WATER A A MnCcv PORE VOLUME Figure 22. Experimental concentrations of iron and manganese in basin-fill column effluent. EXPERIMENTAL COBALT SIMULATED COBALT EXPERIMENTAL NICKEL SIMULATED NICKEL EXPERIMENTAL pH INFLUENT CONCENTRATION OF CONTAMINATED WATER PORE VOLUME Figure 23. Experimental and simulated concentrations of cobalt and nickel and experimental pH in basin-fill column effluent. Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

precipitation of In the column experiment, oxides were the only apparent oxidants. In the aquifer, was oxidized by using a combination of Mn oxides and DO in uncontaminated ground water that mixed with the plume. 4. Reduction of Mn by increased the concentration of Mn in column effluent and in ground water. Some of this Mn was sorbed by at higher pH values. Desorption occurred as pH decreased. A significant fraction of the Mn remained associated with the solid phase, either as a coprecipitate or an incompletely reduced oxide. 5. The concentration of aqueous Cu, Co, Ni, and Zn in solution were a function of pH. Sorption of these metals was simulated using the diffuse layer surface-complexation model. 6. Aluminum was controlled by precipitation of at pH greater than 4.7. A1OHSO4 appeared to control solubility at lower pH values. 7. Calcium and sulfate concentrations were controlled by precipitation of gypsum. 8. Attenuation of constituents in the acidic plume increases with carbonate content. The column experiment also provided useful information about the potential fate of contaminants in the aquifer after the source of acidic water is eliminated. The pH is likely to remain low for a long time because of disassociation of the FeOH-H+ complex. Aluminum also may pose a long-term threat to water quality because of slow dissolution of A1OHSO4. While pH remains below 4.6, precipitation of is unlikely and may result in increased Al concentrations. Dissolution of gypsum will result in larger concentrations of Ca and SO4; however, most of the gypsum should be removed within a few pore volumes. Any Fe, Mn, Cu, Co, Ni, or Zn associated with alluvium in the acidic part of the plume generally should remain immobile, and the concentration of these constituents should rapidly return to background levels. The reactions used in this model represent one plausible set of reactions that were able to successfully simulate breakthrough curves from the column experiment as well as the change in the composition of ground water in the aquifer. Other possible combinations of reactions may work as well. Some of the reactions could be demonstrated from analysis of the field data; whereas, other reactions only became evident through analyzing data from controlled laboratory experiments. The successful simulation of the field data emphasizes the benefit of using laboratory experiments in conjunction with field data whenever possible. Simulation of Reactions Affecting Transport of Constituents in the Acidic Plume, Final Creek Basin, Arizona 49

Chapter C Assessment of Colloidal Transport in Ground Water, Final Creek Basin, Arizona By Robert W. Puls 1 , Robert M. Powell2, and Donald A. Clark1 -3 Abstract Laboratory columns packed with natural aquifer material from Final Creek Basin, Arizona, were used to investigate the transport of inorganic colloids under saturated-flow conditions. Radiolabeled spherical colloids of various diameters of iron oxide were synthesized and introduced into the columns under varying conditions of pH, ionic strength, electrolyte composition, and colloid concentration. Column influent and effluent were evaluated by photon-correlation spectroscopy and scintillation-counting techniques. The maximum breakthrough concentration of colloids in the column effluent was 99 percent of the influent concentration under certain hydrochemical conditions. In all cases where transport was greater than 50 percent, the colloids arrived at approximately the same time or earlier than the conservative tracer, tritium. Conditions favoring colloidal transport in this system were: (1) low ionic strength, (2) pH in the range where the colloids are stable, and (3) the presence of specifically-sorbed ions that enhance colloid 'U.S. Environmental Protection Agency, R.S. Kerr Environmental Research Laboratory, Ada, Oklahoma. 2ManTech Environmental, R.S. Kerr Environmental Research Laboratory, Ada, Oklahoma. Scientists in the U.S. Environmental Protection Agency, Office of Research and Development have prepared this chapter. Review was done in accordance with the U.S. Environmental Protection Agency administrative review policy, and the report has been approved for publication. stability. Arsenate was used as a model-reactive contaminant to evaluate its facilitated transport on the iron oxide colloids. Sorption capacity of the colloids for arsenate determined from batch tests was 1 percent by weight. Compared with transport of dissolved arsenate in the same columns, the colloids were transported more than 21 times faster. INTRODUCTION Colloids are suspended stable particles that are small enough so that the surface free energy of the particle dominates the bulk free energy. In ground water, this typically includes particles with diameters between 0.01 and 2 (am. Colloidal particles can be organic, inorganic, or a combination of the two. Several mechanisms can account for colloids in ground water. 1. Dissolution of cementing agents due to changes in pH or redox conditions. 2. Mineral supersaturation resulting in the formation by nucleation and precipitation of inorganic colloids. 3. Physical disruption of the subsurface system caused by alterations in flow conditions from contaminant injection or ground-water withdrawal. 4. Release of particles due to weathering. 5. Release and transport of viruses and bacteria (as contaminants or as carriers of contaminants). The arrival of a contaminant plume can result in the formation of colloidal particles through processes 1-3 listed above. A subsequent reduction in ionic strength due to, for example, infiltration of lower ionic strength water or recharge of water with lower ionic Assessment of Colloidal Transport in Ground Water, Pinal Creek Basin, Arizona 51

strength can mobilize colloids, enhance their stability, and therefore increase their transportability. Gschwend and Reynolds (1987), Robertson and others (1984), Kirn and others (1984), and Ryan and Gschwend (1990) studied the mobility of colloidal particles in ground water at a number of sites. Other studies have demonstrated the facilitated transport of contaminants associated with reactive-mobile colloidal particles in both laboratory and field studies (Saltelli and others, 1984; Penrose and others, 1990; Enfield and Bengtsson, 1988; Buddemeier and Hunt, 1988). Because of diffusional and sedimentation constraints, colloidal particles ranging in size from 0.1 to 1.0 urn may be most mobile in porous media. Although Cerda (1987) and Champlin and Eichholz (1976) demonstrated that changes in the chemistry of aqueous systems may play a major role in mobilization of colloids in porous media, little additional research has been done in colloidal-transport. Solution chemistry can affect colloid stability, mobility, and reactivity because of its effect on surface-charge phenomena. Inorganic particles generally carry a charge that is either net negative or net positive depending on a number of factors. These factors include: (1) mineralogy, (2) pH, (3) ionic strength, and (4) the presence or absence of strongly adsorbing potential-determining ions. Mineral species can have a fixed surface charge (montmorillonite), a variable surface charge (iron oxides), or a combination of the two (kaolinite). In general, the immobile aquifer material will have a net negative charge because of the large amounts of silica and aluminosilicate minerals in the matrix that have a pH of low zero point charge (table 11). Solution chemistry also can affect the particle-to-particle interactions for example, attraction, which results in agglomeration and settling, or repulsion, which can keep particles in suspension. From March 1988 through September 1990, a study was conducted to assess the significance of colloidal transport in a shallow, heterogeneous sand-and-gravel aquifer in the Final Creek Basin. Field investigations initially focused on the effects of ground-water sampling techniques on colloid mobilization (Puls and others, 1990). These studies indicated the importance of pumping at low flow rates to obtain accurate and representative waterquality data. Evidence was not sufficient to suggest colloid-facilitated transport of inorganic contaminants at the site probably because of the high ionic strength (0.4 mol/L) of the ground waters resulting from the acidic metal wastes. Such transport may occur in waters with lower ionic strength (<0.1 mol/L) downgradient and near the leading edge of the acidic plume at the site where pH and redox changes are significant. Laboratory-column experiments were made to determine chemical effects on inorganic-colloidal transport through contaminated aquifer material collected from the site. Variables that were evaluated included pH, electrolyte composition, and ionic strength. Redox changes were not evaluated because of the difficulty of controlling this variable in a laboratory setting. Radio-labeled iron oxide (Fe2O3) was used as the model mobile reactive colloid. Arsenate was investigated as a potentially reactive and transportable contaminant. Acknowledgments Cynthia J. Paul of ManTech Environmental Technology, Inc., provided laboratory support Table 11. Selected pHiep data for some primary and secondary minerals [pHjgp, pH where the electrokinetic potential of the particles is zero; less than] Constituents Quartz .. Albite Augite Muscovite Biotite Glauconite... .. pH,ep Constituents Manganese dioxide Calcite a-FeOOH y-FeOOH a-Fe2O3 . amorphous PH,ep 5-S.6 Constituents Fe304

y-AlOOH A12O3 amorphous... PHiep

Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

particularly during the early stages of this study. Terry F. Rees, USGS, provided X-ray diffraction and scanning electron-microscopy analyses. MATERIALS AND METHODS Characterization of Colloids and Aquifer Solids Spherical, monodisperse Fe2O3 colloids (0.1-0.25 u,m) were prepared from solutions of ferric chloride (FeCl3) and hydrochloric acid (HC1) using the method of Matijevic and Scheiner (1978). The method was modified by the addition of a spike of 26Fe59Cl3, before heating, which permitted detection of the colloids by liquid scintillationcounting techniques. The colloids were washed three times with pH 3 deionized water to remove unreacted materials from the suspensions. Colloid concentration, in milligrams per liter, was determined by filtration and residue-on-evaporation techniques. Scanning electron microscopy (SEM) and photon-correlation spectroscopy (PCS) were used to determine the particle size. PCS also was used to evaluate stability of the diluted colloidal suspensions by monitoring particle size in influent and effluent column suspensions. The pH of zero point of charge (pHzpc) is the pH at which the net surface charge of the colloid equals zero. Below this value, the surface has a net positive charge, and above the pHzpc, the surface has a a net negative charge. The pHzpc was determined by titrating colloid suspensions under nitrogen at different ionic strengths of sodium perchlorate (NaClO4), a nonspecifically adsorbed electrolyte, with sodium hydroxide (NaOH). The pH at which electrolyte concentration has no influence on surface charge should equal the pH. For the Fe2O3 colloids, pH was estimated to range from 7.3 to 7.6. The isoelectric point (pHiep) of the surface or the pH where the electrokinetic potential of the particles is zero, was determined to be 7.0 using microelectrophoresis (Puls and Powell, 1992). These two measurements should be about equal in the absence of nonspecifically sorbed species or where hydrogen (H+) and hydroxyl (OH") ions are the only potential determining ions in solution. Core material from well 107 was air-dried and sieved, and subsamples were analyzed by X-ray diffraction. Predominant mineral phases in subsamples of the material were identified by X-ray diffraction. The order of intensity of these phases were: quartz albite magnesium orthoferrosilate muscovite samsonite manganese oxide. Relevant aqueous geochemical constituents for well 107 are in table 12. Particle microelectrophoresis (Rank Brothers Mark II, Malvern ZetaSizer) was used to characterize the surface-charge properties of the synthesized Fe2O3 colloids and the fine fraction 2 u,m) of the aquifermatrix solids used in the column experiments. Batch and Column Tests Adsorption of arsenic on Fe2O3 colloids and aquifer solids was assessed to determine differential reactivity of the two components and in particular, the adsorption capacity of the colloids. Desorption was important, particularly from the colloids, to determine strength of adsorption or retention (reversibility). Preliminary experiments were performed to determine steady-state equilibration time and appropriate solid to Table 12. Concentrations of major constituents and water-quality components for well 107, March 1989 [mg/L, milligrams per liter; nS/cm, microsiemens per centimeter at 25° Celsius; °C, degrees Celsius; mV, millivolts; mol/L, moles per liter; less than] Cations and anions Calcium Magnesium Sodium Potassium Sulfate Chloride Concentration in milligrams per liter 3,300 Water-quality components pH (standard units) Temperature (°C)... Dissolved oxygen (mg/L) Oxidation-reduction potential (mV). Ionic strength (mol/L) Value 4,310 <.l Assessment of Colloidal Transport in Ground Water, Final Creek Basin, Arizona 53

solution ratio that would produce measurable changes in solution compositions and allow for adequate characterization of the adsorptive capacity of solids and colloids. A 24-hour equilibration period and solids-to-solution ratios of 6 grams to 30 mL for the aquifer solids and 4.5 mg to 30 mL for the Fe2O3 particles were used. Initial arsenate concentrations ranged from 3 x W6 to 7 x 10'5 molar (M) in 0.01 M NaClO4. The pH range that was examined was 4 to 8, and a temperature of about 25°C was used in all experiments. Samples were shaken on a rotary shaker throughout the equilibration to insure mixing. After equilibration, samples were centrifuged at 2,560 x g for 70 minutes and filtered through a 0.2 jum Nuclepore membrane filter to prevent the inclusion of solid floes and microparticles in the determination of aqueous concentrations of arsenate. Aqueous samples were analyzed for arsenic (As) using a Perkin-Elmer Zeeman/3030 Atomic Absorption Spectrophotometer with graphite furnace (AAGF). Adsorption was determined by the difference between initial and final arsenate concentrations. Desorption of arsenate from the Fe2O3 particles and the aquifer solids was accomplished by repeated replacement of arsenic with arsenate-free 0.01 M NaClO4 on the centrate. The pH of the desorption solution generally was kept constant at the same pH as the adsorption solutions to evaluate only the impact of changes in arsenate concentration, however, in some cases, the pH of the desorption solution was increased to a pH value of 9 to evaluate enhanced desorption under these conditions and to compare these results with desorption using phosphate. The desorption equilibration time was 24 hours, and was based on preliminary experiments to evaluate contributions from mineral-dissolution effects. Adjustable-length glass columns (2.5-cm diameter) were used for all column experiments. Column lengths ranged from 2.5 to 5.0 cm. Core material from well 107 (106-2,000 jum sieved fraction) was used to pack the columns. Column flow rates were comparable to estimated ground-water velocities in the alluvium. Columns were slowly (0.08 m/d) saturated from below with 0.01 M NaClO4, and flushed for at least 1 week before initiation of experimental runs. Darcy velocities used in the experiments were 0.8,1.7, and 3.4 m/d. Tritium was used as a conservative tracer to analyze column operation and to compare transport of injected colloids and dissolved arsenate. Solutions were injected until effluent concentration equaled influent concentration (C0). PCS was used to verify the size and stability of column-influent colloidal suspensions. Comparisons of the size and stability of the colloidal material between selected influent and effluent samples also were made. The effluent fractions were collected in polypropylene test tubes over various time intervals depending on the flow rate and experiment (longer collection times for the dissolved-arsenate experiments). For the radio-labeled colloid experiments, 0.5 mL from each fraction was mixed with a Beckman CP cocktail in 7-mL polyethylene vials and placed in a (Beckman model) scintillation Spectrophotometer for 20 minutes. Aqueous samples for the dissolved arsenate experiments were analyzed using an AAGF. ASSESSMENT OF COLLOIDAL TRANSPORT The movement of colloids and associated contaminants at Pinal Creek was assessed through the use of batch and column experiments and through sampling for colloids in acidic and neutralized contaminated ground water at the site. The role of particle size, contaminant concentrations, surface charge, and other physicochemical factors in colloid-facilitated contaminant transport were examined. Adsorption and Desorption Batch-test results were used to define the adsorption and desorption isotherm of a contaminant on iron oxide colloids. Data for arsenate sorption on the synthesized Fe2O3 colloids were fitted to a Langmuir isotherm defined by the relation: ,. where k b

s cf Langmuir solid-surface affinity term, adsorption capacity, concentration on the solid phase, and steady-state solution concentration. One advantage of the Langmuir model is the incorporation of the capacity term. The correlation coefficient for the linearized Langmuir form of the Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

above equation was 0.97, and the b value was 0.01 g/g, or 1 percent of the colloid mass is sorbed arsenate. Data for arsenate adsorption on the aquifer solids were fitted to a Freundlich isotherm. The correlation coefficient for these data was 0.94. The Freundlich isotherm is defined by the relation: S where terms are the same as above except that n is an empirical coefficient related to the monolayer capacity and energy of adsorption. The latter isotherm is more typically applied to heterogeneous solid-phase systems. Little desorption of the As occurred from either the aquifer solids or the Fe2O3 particles (fig. 24/4, B). Three successive desorptions of the synthesized Fe2O3 colloids with 0.005 M NaH2PO4 at pH 7 resulted in only about 3-percent desorption, and three successive desorptions with 0.01 M NaClO4 at pH 9 resulted in 11-percent desorption. The strength of binding with the Fe2O3 surface is such that little desorption is expected during transport unless the geochemistry of the system changes such as an increase in pH or the presence of competing anions. Stability and Surface Charge Colloid stability, in terms of coagulation, was monitored using laser-light scattering with PCS. The colloid suspensions were stable in solutions containing 0.01 M NaCl, CaCl2, and NaClO4 and had a pH range from 3.0 to 6.5. Under these conditions, the colloids are net positively charged. At a pH range from 6.5 to 7.6, which is near the estimated pHzpc, the colloids were extremely unstable. At a pH range from 7.6 to 9.7, the colloids were semistable in solutions containing 0.005 M NaCl and NaClO4, which means that the kinetics of coagulation were slow (several hours). At a pH range from 9.7 to 11.0, the colloids were stable in solutions containing 0.01 M NaClO4 and NaCl. Colloidal-size distributions in the influent and effluent were compared when the pH of the soilcolumn effluent was near the pH, or in the pH range of 6.5 to 7.6 where the colloids are unstable. Liang and Morgan (1990) observed that hematite colloids bear an overall net negative charge at pH pHzpc pristine in the presence of specifically sorbed anions, such as the phosphate species, which increases the stability region where the colloids are negatively charged (pHzpCi pristine= ionic strength *0). Similarly, significant enhancement of colloid stability in solutions containing 0.01 M Na2HAsO4 and 0.01 M NaH2PO4 was observed in the present study at a pH as low as 6.9. This enhancement was not observed in solutions containing sulfate. When the pH is less than the pH, the particles were unstable and coagulated in calcium sulfate (CaSO4) as low as 1 mmol. When pH is greater than the pHzpc, semistable suspensions occurred. These findings have important implications for this study because near the source of contamination the ground water is nearly supersaturated with gypsum. Concentrations of sulfate (SO4) range from 0.005 M to 0.1 M near the original tailings pond and about 0.03 M at well 107. These results correspond with previous investigations that demonstrated that SO4 can broaden the pH range of particle instability (Packham, 1965; Snodgrass and others, 1984). Electrophoretic-mobility data for the colloids and fine fraction (<2 jam) of the aquifer material (fig. 25) was documented. The pHiep for the colloids in a solution containing 0.01 M NaClO4 is about 6.9, comparable to the pHzpc determined from titration (7.3-7.6). The pHicp of the aquifer solids is less than 4. When the surfaces of the colloid and the aquifer material are similarly charged, some repulsion will occur. The magnitude of these repulsions mainly depends on the differences of the pHicp of the two surfaces. Repulsion of these surfaces would not occur in the more contaminated portions of the aquifer, except where specifically sorbed species are present such as phosphate and arsenate. Because these Fe2O3 colloids are extremely unstable in solutions that contain large amounts of SO4 and that have a pH of less than 7, transport would be unlikely at the site. This assumption would hold true for other colloids having a similar pHiep. Column Transport When the colloids had a net positive surface charge opposite to the surface charge of the column matrix material, the colloids were unstable and were not transported through the columns (table 13). This positive surface charge occurred when the major anion in solution was chloride (Cl), which is a nonspecifically sorbing species, and pH was less than 7. Attraction between the positively charged colloids and the predominantly negatively charged matrix surfaces accounts for this result. When these columns were Assessment of Colloidal Transport in Ground Water, Pinal Creek Basin, Arizona 55

dismantled, most of the colloids were located at the column inlet. When the colloids were net negatively charged (pH pHzpc), transport of greater than 50 percent of the injected colloids was observed in solutions containing 0.005 M NaCl and -0.001 M NaClO4. More than 50 percent of the injected colloids were detected in the effluent. Solutions containing SO4 transported less than 20 percent of the injected colloids through the columns, presumably because of colloidal instability. In the solutions containing phosphate and arsenate, greater than 90 percent of the injected colloids were transported through the column. In all inn 1UU Z UJ °- z Q" HI /u CQ CO UJ Q O CQ uj w CO

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Hi B EXPLANATION PI ADSORBED 0.01 mole per liter of NaCIO4, pH 4 DESORBED 0.01 mole per liter of NaCIO4, pH 4 2.71x10-6 1.33x10-5 2.78x10-5 6.90x10-5 INITIAL ARSENATE CONCENTRATION, IN MOLES PER LITER EXPLANATION ADSORBED 0.01 mole per liter of NaCIO4, pH 7 DESORBED 0.05 mole per liter of NaH2PO4> pH 7 ADSORBED 0.01 mole per liter of NaCIO4, pH 9 2.71x10-6 1.33x10-5 2.78x10-5 3.34x10-5 4.0x10-5 INITIAL ARSENATE CONCENTRATION, IN MOLES PER LITER Figure 24. Adsorption and desorption of arsenate. A, Arsenate, in percent, from aquifer solids from well 107 (pH 4, 0.01 mole per liter of NaCIO4); B, Arsenate from synthesized iron oxide particles. Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

CO DC UJ DC UJT UJ z° DC co'o! i-r; z bif COUJ OQ oz u-0 ?.uj i- w £ go.

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OF Na2HAsO4 A 0.01 MOLE PER LITER OF NaCI Aquifer solids from well 107

, ,

CT Rf= V IV J w s where PH Figure 25. Electrophoretic mobility for aquifer solids and iron oxide particles from well 107. cases, breakthrough occurred about the same time or earlier than the tritiated water (fig. 26A-Q. A column also was injected with dissolved arsenate to compare its retardation to the retardation of the colloids. Breakthrough curves of these solutions is shown in figure 27. The calculated retardation factor (Rf) for the dissolved arsenate is defined as: Fw velocity of the water or conservative tracer (tritium), and Fs velocity of the solute. fl/was calculated to be 21; therefore, the colloidal arsenate exhibited 21 times the velocity of the dissolved arsenate. Movement of Colloids in Ground Water For many of the wells, ground-water sampling was done using sequential filtration and laser-light scattering detection techniques for assessment of colloidal mobility (Puls and Barcelona, 1989; Puls and others, 1990; Puls and others, 1992). Data did not indicate significant colloidal-facilitated transport of contaminants at the site. In well 451 near the leading edge of the acidic waste plume, however, anomalously high turbidity was observed. In well 451, the sediments generally are fine grained, and dissolution of iron oxide cementing agents may be responsible for the high concentration of suspended particles (~20 mg/L). SEM analyses identified the particles, captured on filters, as smectite clays and Fe2O3. The persistence of clays and iron oxide as stable suspensions would depend on pH, ionic strength, oxidation-reduction potential and ground-water flow velocity. On the basis of the Table 13. Colloidal transport through contaminated aquifer material [%C0, percent initial concentration colloids; less than] Size, in nanometers Particle concentration, in milligrams per liter Flow rate, in meters per day pH Ionic strength Anion cr cr C1O4' S042' S042' HAs042' HP042' Maximum concentration (%C0) Assessment of Colloidal Transport in Ground Water, Final Creek Basin, Arizona 57

EXPLANATION D TRITIATED WATER A A IRON OXIDE COLLOIDS- 0.001 mole per liter of NaCIO4 PORE VOLUMES B Z O

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D r n

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" , , , , EXPLANATION D TRITIATED WATER A IRON OXIDE COLLOIDS 0.001 mole per liter of Na2SO4 ) PORE VOLUMES Figure 26. Column breakthrough for iron oxide particles. A, 0.001 mole per liter of sodium perchloride (NaCIO4); B, 0.001 mole per liter of sodium sulfate (Na2SO4); C, 0.01 mole per liter of sodium dihydrogen phosphate (Na2H2PO4). Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

EXPLANATION TRITIATED WATER A A IRON OXIDE COLLOID- 0.01 mole per liter of Na2H2PO4 PORE VOLUMES Figure 26. Continued EXPLANATION D D Colloidal arsenate A A Dissolved arsenate PORE VOLUMES Figure 27. Column breakthrough for dissolved and colloidal arsenate transport through aquifer solids from well 107. Assessment of Colloidal Transport in Ground Water, Pinal Creek Basin, Arizona 59

existing hydrochemical profile of the plume, it is expected that this condition would be transitional. SUMMARY AND CONCLUSIONS In this study, Fe2O3 colloids were capable of sorbing a significant mass of contaminant (arsenate) and were transported more than 21 times faster than dissolved arsenate under the following hydrochemical conditions: (1) low ionic-strength waters, (2) high-flow velocity, and (3) a negative net surface charge of the colloids and aquifer matrix. Solutions containing SO4 provided the least stable colloidal suspensions and the lowest amount of colloidal transport. This condition is significant for the Final Creek Basin because SO4 is the predominant anion in the ground water. This condition, together with the high ionic strength of most waters at the site, indicates that colloidal transport does not significantly facilitate transport of contaminants at the site. Monitoring of the aquifer as fresh (uncontaminated) water recharges the system may be needed to evaluate the effect that decreased ionic strength would have on colloid mobilization and stability. Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

Chapter D Distribution of Chemical Constituents in Surface Water, Final Creek Basin, Arizona By James G. Brown and James H. Eychaner Abstract Surface-water flow in most of Final Creek Basin is ephemeral and consists of storm runoff, snowmelt, and occasional, accidental spills or releases from impoundments from copper mining. Ephemeral flow in the basin can be uncontaminated runoff or can include contaminated runoff from tailings and other mine areas. From about 1941 until Webster Lake was drained in 1988, a mixture of natural runoff, acidic water from mining processes, and wastewater contained in the lake infiltrated into tributary alluvium and entered the regional aquifer. The pH of ephemeral streamflow in Miami Wash at Highway 88 varied from 5.1 at a discharge of 0.00085 cubic meters per second to 7.7 at a discharge of 0.368 cubic meters per second. Concentrations of dissolved copper and zinc generally varied inversely with discharge. Prior to January 1985, streamflow recharge to ground water caused ground-water levels to rise and resulted in the surface discharge of acidic ground water to the seepage ditch at Bixby Road. In March 1985, ephemeral flow in Final Creek included acidic ground-water discharge from the seepage ditch, surface runoff from undeveloped and mined areas, and neutralized ground-water discharge in the perennial reach. Sulfate concentration of this water was 1,400 milligrams per liter at Inspiration Dam. Concentrations of dissolved copper were 40 micrograms per liter and concentrations of dissolved iron were less than 40 micrograms per liter. From 1985 through 1991, discharge of neutralized, contaminated ground water to Final Creek produced perennial flow from about 6 km above Inspiration Dam to the mouth. As ground water discharged to the stream and equilibrated with the atmosphere, pH increased between one and two units. In March 1990, pH increased downstream from 6.0 to 7.5. In response to this increase, concentrations of dissolved manganese decreased from about 90 to 15 milligrams per liter and precipitated as crust on the streambed. Concentrations of dissolved solids at Inspiration Dam were 800 milligrams per liter in 1942 and 2,800 milligrams per liter in 1979 and gradually increased to more than 3,500 milligrams per liter by late 1988. Dissolved concentrations of most trace metals were near or below detection limits in most samples collected between 1979 and 1991. Manganese concentrations increased steadily from 0.26 to 40 milligrams per liter from 1979 through 1988 and were more variable from 1989 through 1991. Accumulations of manganese in the streambed were first observed in 1985. Streambed sediments are only a temporary sink for manganese, however, because flood discharges break up and transport the cemented sediments. Using only analytical concentrations of ground water, a simple conservative mixing model of base-flow chemistry in the perennial reach above Inspiration Dam adequately represented sodium, chloride, and silica concentrations in surface water Distribution of Chemical Constituents in Surface Water, Final Creek Basin, Arizona 61

but diverged from measured concentrations of dissolved gases and manganese. Reaction paths were computed with PHREEQE to develop the simplest possible model that adequately represented measured changes in the streamflow. The model began with the same proportions of ground water as in the conservative-mixing model and simulated three additional processes: (1) degassing of carbon dioxide in amounts that decreased linearly downstream, (2) manganese oxidation and precipitation, and (3) dissolution of calcite. The amount of each reaction was calibrated to match measured pH, manganese concentration, and dissolved inorganic carbon in surface water. The model adequately represented measured streamflow chemistry by using reasonable amounts of likely reactions. The model reproduced the calcite saturation index of streamflow samples, which indicates that the specified dissolution was reasonable. Model saturation index for all manganese oxides exceeded 3 and increased as simulated flow moved downstream. INTRODUCTION Surface-water flow in most of Final Creek Basin is ephemeral, and consists of storm runoff, snowmelt, and occasional, accidental spills or releases from impoundments related to copper mining. These sources, along with sewage releases into Final Creek a few kilometers north of Globe (fig. 1), provide recharge to the aquifer. Ephemeral flow in the basin can be uncontaminated runoff from undeveloped areas, or can include contaminated runoff from tailings and other mining areas. North of the mouth of Horeshoe Bend Wash, the aquifer is constricted, and ground-water discharge to Final Creek generates perennial flow to the Salt River. In the perennial reach, base flow consists entirely of ground-water discharge. Most of this discharge is neutralized contaminated water from a 15-km-long plume of acidic ground water in the alluvium of Miami Wash and lower Final Creek. Following periods of prolonged or extended rainfall, storm runoff enters the perennial reach from tributaries and from Final Creek upstream from the head of perennial flow. During these times, water in the stream is a mix of contaminated ground water and storm runoff, which may or may not be contaminated depending on the part of the basin from which the runoff originated. Following the cessation of direct runoff, water stored in the bank during the period of high flow returns to the creek. The purpose of this chapter is to (1) characterize areal and temporal trends in surface-water chemistry, (2) describe surface-water chemistry during a period of recharge from snowmelt, and (3) summarize the results of a study of chemical reactions in the base flow in the perennial reach. WEBSTER LAKE From about 1941 until it was drained in 1988, Webster Lake (fig. 1) was used to store natural runoff, process water and wastewater generated from mining activities. During that time, lake water infiltrated the alluvium of Webster Gulch and entered the regional aquifer beneath Bloody Tanks Wash. Chemical analyses of lake water prior to 1976 are few but it is assumed, on the basis of the nature of past and present mining methods and practices, that the lake was acidic most of the time and generally contained large concentrations of dissolved metals. From 1976 to 1988, dissolved-solids concentrations ranged from 27,000 to 42,000 mg/L. In 1986, dissolved-solids concentrations varied from 30,000 mg/L at the surface to 39,000 mg/L at a depth of 21 m. From 1981 through 1988, pH from the surface to the lake bottom (21 m below the lake surface) varied from 2.4 to 2.8 (Arthur, 1987a, b; Brown, 1990). In the same period of time, concentrations of sulfate (SO4) generally were at least 20,000 mg/L but were 13,000 on an unknown date in 1980 (U.S. Environmental Protection Agency, 1978-89). This decrease probably reflects dilution of lake water by intense and prolonged rainfall that occurred in February 1980. On February 1, 1988, the concentrations of dissolved iron (Fe) and SO4 in lake water were 6,000 and 19,000 mg/L, respectively (table 14). Analyses done by other agencies indicate that during 1976-88 the lake contained large concentrations of SO4, Fe, and other metals. The precise concentrations of individual species or complexes, however, are questionable because the sum of constituents of these analyses are significantly less than the measured concentrations of total dissolved solids. Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

Table 14. Selected chemical analysis of water, Webster Lake, Arizona [Water filtered through 0.45-micrometer filter before analysis. Data from Brown (1990)] Date of sample Temperature, in degrees Celsius Cnarifir> conductance, H in microsiemens per centimeter Calcium, in milligrams per liter (Ca) Chloride, in milligrams per liter (Cl) Magnesium, in milligrams per liter (Mg) Manganese, in milligrams per liter (Mn) 13,800 850,000 20,000 210,000 6,000,000 19,000 Sodium, in milligrams per liter (Na) Aluminum, in micrograms per liter (Al) Cobalt, in micrograms per liter (Co) Copper, in micrograms per liter (Cu) Iron, in micrograms per liter (Fe) Sulfate, in micrograms per liter (S04) Zinc, in micrograms per liter (Zn) 32,000 EPHEMERAL STREAMFLOW Most of the streams in the basin usually are dry and flow only in response to intense or prolonged rainfall. Nevertheless, short-lived large flows can transport large quantities of contaminants out of the basin. Occasionally during such periods of precipitation, impoundments of acidic wastewater or process water at mines in the area have overflowed and discharged contaminated water to washes and streams. Some of this water exits the basin as streamflow and ultimately reaches the Salt River. The rest recharges the regional aquifer with contaminated water, although such flows also include uncontaminated runoff as a significant component. The chemical composition of ephemeral streamflow in Miami Wash at Highway 88 (fig. 28) varied in relation to discharges that ranged from 0.00028 to 0.363 m3/s. Alkalinity as CaCO3, pH, SO4, and dissolved-solids concentrations increased with discharge (fig. 29). The pH was 5.1 at a discharge of 0.00085 m3/s and 7.7 at a discharge of 0.368 m3/s. CaCO3 varied from about 10 to almost 80 mg/L over the same discharge interval but the relation between discharge and concentration was variable. Concentrations of dissolved copper (Cu) and zinc (Zn) for the most part varied inversely with discharge. At a discharge of 0.00085 m3/s, concentrations of dissolved Cu and Zn were 3,000 and 640 ug/L, respectively (fig. 29). No samples were available with which to examine the chemical composition at flows greater than 0.368 m3/s. On March 1, 1985, streamflow samples were collected at 11 locations (fig. 28) to determine the distribution of chemical constituents in ephemeral streamflow (Eychaner and others, 1989). These samples were collected 8 days after the last significant precipitation during a period of snowmelt. Precipitation during the previous 3 months was above normal. Because the distribution and intensity of precipitation varies from storm to storm, these data may not represent the chemical character of runoff from other events, especially those caused by severe, often localized summer thunderstorms. When these samples were collected, streamflow in Final Creek upstream from the mouth of Miami Wash (site 1) and in Russell Gulch south of Highway 60 (site 4) was uncontaminated. Dissolved-solids concentrations at both sites were 186 mg/L; concentrations of dissolved metals were near or below reporting limits. Sulfate concentrations at both sites were less than 40 mg/L (table 15). In contrast, water in Bloody Tanks Wash (site 3), which flows eastward through Miami at the base of large tailings piles, contained concentrations of dissolved copper, manganese (Mn), and SO4 greater than that found in uncontaminated runoff at sites 1 and 2. Concentration of dissolved solids in Bloody Tanks Wash was more than 400 mg/L; concentrations of SO4 and dissolved Mn were 310 and 0.35 mg/L, respectively. Streamflow recharge to ground water prior to January 1985 caused ground-water levels to rise to within 1 m of the land surface in monitor wells of the USGS adjacent to Miami Wash (fig. 5). In low-lying areas, the ground-water table rose to the land surface, resulting in the surface discharge of acidic ground water. On March 1, flow in the seepage ditch at Bixby Road was generated entirely by local ground-water Distribution of Chemical Constituents in Surface Water, Final Creek Basin, Arizona 63

Theodore Roosevelt Lake ARIZONA Theodore Roosevelt Lake / Inspiration DamJ >BOUNDARY OF BASIN EXPLANATION DATA SITES Number is site identifier A Streamflow-gaging 09498380 station 13 Pinal Creek at Setka Ranch near Globe 15 Pinal Creek at Inspiration Dam near Globe $V Surface-water quality sampling site Pinal Creek at Bixby Road bridge near Globe 2 Webster Lake near Miami 3 Bloody Tanks Wash at Claypool 4 Russell Gulch at U.S. Highway 60 at Claypool 5 Miami Wash at State Highway 88 near Claypool 6 Miami Wash at State Highway 88 near Claypool 7 Bixby Road seepage ditch at State Highway 88 near Claypool 8 Bixby Road seepage ditch at mouth near Claypool 9 Final Creek at Bixby Road dip crossing near Globe 10 Pinal Creek at Wilbanks Road bridge near Globe Final Creek at Hicks crossing near Globe 12 Pinal Creek at Blumer driveway near Globe 14 Pinal Creek at Pringle pump station near Globe 16 Final Creek at mouth near Globe 17 Salt River near Roosevelt BOUNDARY OF AQUIFER 33°15' Base from U.S. Geological Survey, 1:24,000; Meddler Wash-Provisional, 1986; Dagger Peak-Provisional, 1986; Salt River Peak-Provisional, 1986; Rockinstraw Mtn.-Provisional, 1986; Chrome Butte, 1966; Inspiration, 1945; Globe, 1945; Cammerman Wash, 1966; Pinal Ranch, 1948; and Pinal Peak, 1964 Figure 28. Surface-water data-collection sites in and near Pinal Creek Basin, Arizona. Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

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Table 15. Selected chemical analyses of streamflow, Final Creek Basin, Arizona, March 1,1985 [Data from Eychaner and others (1989)] Site number Site number Discharge, in cubic meters per second Chloride, in milligrams per liter (Cl) pH Alkalinity, in milligrams per liter (CaC03) Manganese, in milligrams per liter (Mn) Calcium, in milligrams per liter (Ca) Copper, in micrograms per liter (Cu) <11 3,300 9,700 Magnesium, in milligrams per liter (Mg) Iron, in micrograms per liter (Fe) <20 44,000 120,000 <20 <20 Sodium, in milligrams per liter (Na) Nickel, in micrograms per liter (Ni) <50 <50 <50 <50 Sulfate, in milligrams per liter (S04) 2,000 2,300 1,000 1,100 1,400 Zinc, in micrograms per liter (Zn) 1,000 1,600 discharge. Water in the seepage ditch (sites 7 and 8) was similar to ground water in the acid part of the plume (fig. 6) in that it contained large concentrations of metals and other contaminants. Concentrations of Mn, Fe, Cu, and Zn in the ditch (site 7) were 26 mg/L, 44,000 ug/L, 3,300 ig/L, and 1,000 ig/L, respectively (table 15). At the time of sampling, flow in the ditch near the mouth was more than 25 percent of the flow in Miami Wash. On March 1,1985, pH was 6.0 in the seepage ditch at Highway 88 (site 7) and 5.1 downstream at the mouth (site 8). Because ground water directly below the ditch was not sampled, the cause of the decrease cannot be determined. Because concentrations of SO4, Fe, and other metals, however, are higher at the mouth, it is likely that the measured trends in pH and other constituents indicate that ground water that discharges to the ditch downstream from Highway 88 contained greater concentrations of metals and acidity than ground water that discharged upstream from Highway 88. Streamflow in Final Creek below the mouth of Miami Wash was a mixture of water from Russell Gulch, Bloody Tanks Wash, Final Creek above Miami Wash, and the seepage ditch at Bixby Road. Discharge measurements of surface water at sample sites indicate that from the mouth of Miami Wash to Inspiration Dam (site 15), surface-water discharge was either steady or increased downstream. Because the most recent precipitation had occurred about 8 days before sampling, and because ground-water levels were about 1 m below the land surface in wells adjacent to the creek, the Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

measured surface-water gains were caused by ground-water discharge to the stream. Concentrations of SO4 increased downstream from 760 mg/L at sample site 9 to 1,400 mg/L at Inspiration Dam (site 15). Other major constituents increased slightly or remained about the same over the same distance (table 15), and trace constituents decreased. Concentrations of dissolved Fe and Cu decreased from 40 to <20 ug/L and from 80 to 40 ug/L, respectively. On March 1, 1985, streamflow at Final Creek at Inspiration Dam consisted of about two-thirds runoff and one-third perennial ground-water discharge. By August 1985, the creek had returned to base flow, and concentrations of sulfate had increased to 1,800 mg/L. The concentration trends in SO4 and other constituents on March 1, 1985, and changes in stream chemistry at Inspiration Dam as the stream returned to base flow indicate that ground-water discharge to lower Final Creek was more contaminated than ephemeral surface flow that originated upstream. The higher discharge in March relative to discharge in August resulted in greater loads of contaminants being transported into the perennial reach and out of the basin even though concentrations were less in March than in August. PERENNIAL STREAMFLOW From 1985 through 1991, ground-water discharge to Final Creek produced perennial flow from about 6 km upstream from Inspiration Dam to the mouth. Because the aquifer narrows less than 1 km south of well group 500 (fig. 2) and is truncated at Inspiration Dam, most of the perennial reach above Inspiration Dam is a gaining stream. The natural system is disrupted at about 2 km upstream from Inspiration Dam, where surface-water diversions at Pringle pump station resulted in a decrease in flow from 0.20 to about 0.13 m3/s (fig. 30). Upstream from Inspiration Dam At base flow, the measured surface-water chemistry upstream from Inspiration Dam is the result of (1) the chemical and advective processes that take place upgradient in the ground-water contaminant plume, (2) equilibration of discharging ground water with the atmosphere, and (3) variations in the chemistry of ground water that contributes to base flow along the perennial reach. Samples of streamflow and shallow ground water collected at 11 sites along the perennial reach in 1990 (fig. 31) revealed changes in surface-water chemistry that take place as neutralized, contaminated ground water discharges to the stream and equilibrates with the atmosphere. As the water equilibrated with the atmosphere, dissolved inorganic carbon decreased from 29 to 16 mg/L (fig. 32) through the degassing of CO2 and pH increased from 6.0 to 7.4. In response to the increase in pH, concentrations of dissolved Mn decreased from about 90 to 15 mg/L and precipitated as crust on the streambed. The measured concentrations of other dissolved trace constituents and major ions are controlled by these processes and by the variations in chemistry of ground water that discharges to and mixes with streamflow along the entire perennial reach. In shallow ground water adjacent to the stream, pH varied from 5.8 to 6.8 (fig. 32) and generally increased downstream. The concentration of dissolved inorganic carbon (DIG) generally varied between 40 and 60 mg/L and decreased downstream but was 30 mg/L and 14 mg/L at two locations. Chloride (Cl), sodium (Na), and calcium (Ca) decreased slightly in streamflow and shallow ground water from the head of perennial flow to about 1.5 km upstream from Inspiration Dam (fig. 32). Ground water from less than 1.5 km upstream from Inspiration Dam contained significantly smaller concentrations of Cl and Ca than ground-water samples farther upgradient, which indicates that ground water near Inspiration Dam contained a larger percentage of uncontaminated water. Concentrations of dissolved silica (SiO2) in surface water and ground water varied from 72 to 53 mg/L and from 66 to 34 mg/L, respectively, and generally decreased downstream. Concentrations of Mn, cobalt (Co), nickel (Ni), cadmium (Cd), and barium (Ba) in surface water decreased downstream (fig. 32). In ground water, concentrations of Mn, Co, and Ni decreased to near detection levels about 3 km upstream from Inspiration Dam. Concentrations of Cu in surface water decreased downstream from 15 ng/L near the head of flow to less than 5 jag/L about 2 km above Inspiration Dam. Concentrations of Cu in ground water similarly decreased, except for about 2.5 km above the dam, where concentrations of dissolved Cu were almost 90 ng/L, or about nine times greater than concentrations in adjacent upgradient and downgradient samples. Distribution of Chemical Constituents in Surface Water, Final Creek Basin, Arizona 67

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Streamf low-gaging station ST3A Sample site 1/2 1 MILE 1 KILOMETER Figure 31. Locations of ground-water and surface-water sites sampled during the solute-transport study, March 1990. Final Creek at Mouth The creek channel between Inspiration Dam and the Salt River differs from the channel above Inspiration Dam. Stream alluvium is absent downstream from the dam. Ground-water flow is restricted to thin deposits of unconsolidated materials that overlie consolidated rocks, and the channel slope is twice as steep below the dam. Samples were collected at the mouth on three occasions at or near base-flow conditions on the same days that samples were collected at Inspiration Dam. Discharge on July 31,1987, was about the same at both locations: 0.147 m3/s at Inspiration Dam and 0.141 nrVs at the mouth. On July 31, 1987, pH was 7.8 at Inspiration Dam and 8.4 at the mouth. Over the same interval, dissolved Mn decreased slightly from 220 to 200 mg/L, SO4 was unchanged at 1,800 mg/L, and concentrations of dissolved Ca increased from 500 to 600 mg/L. Salt River Below Mouth of Final Creek Final Creek flows into the Salt River above Roosevelt Lake, which stores water for municipal, agricultural, and other uses by the metropolitan area of Phoenix. In water year 1991, the pH of the river below the mouth of Final Creek ranged from 8.0 to 8.5. Dissolved-solids concentrations in the river generally are inversely related to discharge because large flows include runoff that has had little time to react with either minerals or soil. In water year 1991, dissolved solids ranged from 216 mg/L at a discharge of 3,250 m3/s to 2,030 mg/L at a discharge of 183 m3/s. River water was a sodium chloride type within the range of discharges sampled, although Na and Cl became less dominant at greater discharges. Beginning in the mid-1980's, inflow from Final Creek caused a gradual increase in concentrations of Mn in the Salt River (fig. 33). Inflow from Final Creek had no discernible effect on concentrations of dissolved and total Cu and Ni in river water. Only flows of less than 11.3 m3/s are shown on figure 33 because at higher flows, contaminated flow from Final Creek becomes a small fraction of the total flow in the Salt River. Temporal Changes in Stream Chemistry Prior to 1979, sampling for chemical analyses in surface water in the basin was sporadic. In Novembei Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

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<cc oo o Ul± O CO CO Q r A A Figure 33. Total and dissolved manganese concentrations at discharges below 11.3 cubic meters per second, Salt River near Roosevelt. 1979, the USGS began periodic sampling of streamflow at Final Creek at Inspiration Dam. Analyses of these samples have provided a useful record of chemical trends of perennial flow that leaves the basin. The USGS began periodic sampling near the head of perennial flow (Final Creek at Setka Ranch, 09498380) in 1987. Final Creek at Inspiration Dam Concentrations of dissolved solids from a sample collected at Inspiration Dam in 1942 were about 800 mg/L (Envirologic Systems, Inc., 1983, p. 6), which indicated that little if any contaminants had entered the perennial reach by that year. Sometime after that, concentrations of dissolved solids in streamflow began increasing and were about 2,800 mg/L in 1979. Concentrations of dissolved solids in perennial flow gradually increased to more than 3,500 mg/L by late 1988 but decreased to about 3,400 mg/L by 1991 (fig. 4). Superimposed on this increasing long-term trend are decreases in concentrations of dissolved solids during the winters of most years. Concentrations of dissolved solids decreased during those times because winter base flow probably includes some uncontaminated recharge from winter storms that mixed with older, neutralized contaminated ground water. Samples collected during periods of runoff into the creek are characterized by smaller concentrations of dissolved solids than are measured during base flow. For example, the sample collected at the highest discharge had a dissolved-solids concentration of 1,310 mg/L, which is the smallest concentration of dissolved solids for the period of record (fig. 4). Some major dissolved constituents in base flow in the perennial reach had similar trends. From 1979 Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

through 1991, SO4, which is the dominant anion, increased from about 1,700 mg/L to more than 2,000 mg/L (fig. 4). SO4 generally was between 60 and 70 mg/L through 1984, but from 1986 through 1991 increased to nearly 100 mg/L (fig. 34). CaCO3, which was usually between 100 and 200 mg/L, increased slightly from 1979 through 1984 but has decreased slightly since 1984. Concentrations of Ca, Mn, potassium (K), and Cl did not vary with time. Dissolved concentrations of most trace metals, including arsenic (As), chromium (Cr), lead (Pb), selenium (Se), silver (Ag), mercury (Hg), and Zn were near or below detection limits in most samples collected between 1979 and 1991. Concentrations of dissolved Fe varied from less than 10 to 150 ug/L, but usually were below 100 ug/L. Concentrations of dissolved Cu varied from 4 to 37 ug/L between 1984 and 1991 (fig. 34). Neither constituent exhibited notable trends with time. Concentrations of Mn increased steadily from 0.26 to 40 mg/L from 1979 through 1988. From 1989 through 1992, the variability in dissolved Mn increased markedly (fig. 4); the largest and smallest concentrations that occurred during this period 56 and 10 mg/L Mn, respectively were measured in consecutive months. The large variation of Mn concentration at Final Creek at Inspiration Dam may reflect variation in the rate of Mn precipitation along the perennial reach. Visible accumulations of Mn in the streambed were first observed in 1985. Streambed sediments provide only a temporary sink for Mn, however, because flood discharges break up and transport the cemented sediments (Judith Haschenburger, graduate student, Department of Geography, Arizona State University, written commun., 1988). Final Creek at Setka Ranch Water chemistry of Final Creek at Setka Ranch (fig. 35) has been monitored on a regular basis since 1987. Measured stream chemistry is a function of the chemistry of the ground water that discharges to the creek upstream from Setka Ranch and the reactions that occur as ground water surfaces to the stream. The head of perennial flow moved downstream steadily toward Setka Ranch from 1984 to 1990; from 1988 to 1990, the head of flow moved downstream about 600 m, and in November 1990, was 400 m upstream from the sampling site at Setka Ranch. Base flow varied from about 0.15 m3/s in 1987 to 0.05 m3/s in 1991 and was slightly higher in winter months (fig. 35). Dissolved-solids concentrations increased from 3,600 mg/L in July 1987 to 3,900 mg/L in March 1990, and decreased to 3,500 mg/L by the end of 1991 (fig. 35). Alkalinity and pH steadily decreased over the period of record. Ca, Cl, and SO4, though variable, exhibited no significant trends through 1989 but decreased during 1990 and 1991. Concentrations of Na increased from less than 80 to 100 from 1987 through mid-1991 but decreased to 90 mg/L in the latter part of 1991 (fig. 35). In contrast to most of the major ions, concentrations of dissolved Ni and Mn increased steadily during the period of record. Concentrations of Ni increased from about 280 ug/L in 1987 to 880 in November 1991 (fig. 35). Mn increased from 52 mg/L in 1987 to 94 mg/L in November 1990 but decreased to 85 mg/L by the end of 1991. Dissolved and total concentrations of Fe and Cu increased and became more variable with time. The average concentration of dissolved Fe was 18 ug/L in 1987-89 and 33 ug/L in 1990-91. The average concentration of dissolved Cu was 49 ug/L in 1987-89 and 75 ug/L in 1990-91. The solubility of Fe, Cu, Mn, Ni, and other metals is a function, in part, of pH. The observed trends of increasing dissolved concentrations of metals with lower pH is characteristic of pH-dependent solubilities. The observed trends in chemistry in Final Creek at Setka Ranch from 1987 through 1991 are similar to those measured in ground water about 500 m upstream from the head of perennial flow. The pH of water from well 503, perforated 24 m below land surface, decreased from 6.2 to 5.6 from 1986 through 1991 (fig. 36). Over the same period, alkalinity decreased from 100 to 55 mg/L. Conversely, concentrations of dissolved Mn increased from 46 to 116 mg/L and concentrations of dissolved Ni increased from 400 to about 1,000 ug/L, but the concentration was less than 100 ug/L in one sample in 1987. Concentrations of Cu and Fe generally were below detection limits, which varied from 50 to 100 jig/L. Given the measured similarities in chemical trends between surface water and ground water at the two sites, further increases in acidity, Ni, or other contaminants in water samples from well 503 will probably precede increases in concentrations of contaminants in surface flow in the perennial reach. Distribution of Chemical Constituents in Surface Water, Final Creek Basin, Arizona 71

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ALKALINITY A Figure 36. pH and concentrations of dissolved nickel, manganese, and alkalinity in water from well 503. Simulation of Contaminant Transport During March 6-8, 1990, surface water and ground-water samples were collected at 11 sites in the perennial reach of Final Creek (fig. 31) to evaluate the interactions among pH, Mn precipitation, and gas exchange with the atmosphere as well as other processes. An additional ground-water sample was collected a small distance upgradient from the head of perennial surface flow. Six additional streamflow samples were collected at 5 sites from 6 hours before to 27 hours after the major sampling. Methods Sites were selected at intervals of 250 to 1,160 m to examine the expected variations of discharge and chemistry; the exact points were selected in the field on the basis of channel characteristics and accessibility (fig. 31). Sites ST2 and ST11 were at previous periodic sampling sites Final Creek at Setka Ranch and Final Creek at Inspiration Darn, respectively (Eychaner, 1991b). Surface-water samples were collected with a peristaltic pump connected to a nylon sediment-sample nozzle fixed near the center of streamflow. Groundwater samples were collected with the peristaltic pump connected to an adjacent 1.9-cm-diameter stainlesssteel well casing. Wells had stainless-steel wire-wound 30-cm-long screens that had 0.02-cm-wide openings. Each well was driven by hand to about 1.5 m below the water table and was developed by pumping for 10 to 20 minutes. Sample water was pumped without atmospheric contact through a cell in which pH, temperature, dissolved oxygen (DO), specific conductance, and platinum (Ft) electrode potential were measured. Samples that required filtration before analysis were pumped through a 0.45-um filter. Other samples were pumped directly to bottles. Reusable equipment was rinsed thoroughly with stream water between uses and a final rinse with commercial deionized water. Streamflow discharges were measured by the current-meter method. Streamflow temperature, DO concentration, pH, and specific conductance were recorded every 30 minutes at sites ST2, ST7, ST8, and ST11. Atmospheric pressure, temperature, relative humidity, and wind speed were recorded continuously at ST7 and measured at each site during sample collection. The geochemical computer program PHREEQE (Parkhurst and others, 1985) was used to compute elemental speciation in solutions, saturation indices with respect to selected minerals, and results of mass transfers between minerals and solutions. The saturation index used in this report is Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

where IAP K SI log (IAP/K) ion-activity product, and equilibrium constant for the solubility product associated with a given reaction between a solid phase and solute species. When SI is less than 1, the system is undersaturated with respect to the mineral under consideration; and when SI equals 0, the system is at equilibrium with the mineral. An SI greater than 1 indicates supersaturation. Conservative Mixing Model Discharge in the study reach was steady throughout the sampling period. Analysis of 17 discharge measurements and 77 gage-height observations indicated that discharge varied less than 10 percent at any one site. The last previous increase in discharge caused by precipitation had been about 7 weeks earlier. Analytical concentrations of all nonvolatile constituents varied less than 10 percent at each site during the sampling period, which began 6 hours before and ended 27 hours after the concurrent sampling of surface water and ground water. The system, therefore, was considered chemically at steady state. Discharge measurements indicated that about 40 percent of the discharge from the aquifer to the stream occurred in the first 0.6 km of streamflow (fig. 30). Temperature and DO varied diurnally in the streamflow. The diurnal range of temperature was greater downstream, although the diurnal range of DO did not vary (fig. 37). Average temperature decreased downstream by about 0.4°C/km but remained 4.5°C above average air temperature after 5 km. Average DO was 5.6 mg/L after the initial 0.7 km of flow and increased downstream by about 0.5 (mg/L)/km. Abundant algae in the creek contributed to DO variations. Diurnal variations of pH and specific conductance were small, and streamflow ionic strength was about 0.06 mol/L. Conservative mixing was modeled as a cumulative mass balance: (10) IU CC uj UJ UJ UJUJ I-Q Site ST2 (Setka Ranch) Site ST11 (Inspiration Dam) zo: 12 QUJ S 3 10

gi CD 4 ! - 2 Sitesnj (Inspiration Dam) Site ST2 (Setka Ranch) MARCH 5 MARCH 6 MARCH 7 MARCH 8 MARCH 9 Figure 37. 1991b). Diurnal variation of temperature and concentration of dissolved oxygen, Final Creek (modified from Eychaner, Distribution of Chemical Constituents in Surface Water, Final Creek Basin, Arizona 75

where Cs2 - constituent concentration in streamflow at the downstream end of a subreach, C$1 constituent concentration in streamflow at the upstream end of a subreach, Qsi discharge of streamflow at the upstream end of a subreach, QS2 discharge of streamflow at the downstream end of a subreach, CGJ discharge of ground water at the upstream end of a subreach, and CG2 constituent concentration in ground water at the downstream end of a subreach. Constituent concentrations in streamflow just below the Pringle diversion (site 8) were calculated using the estimated natural flow at site 8. To estimate this flow, ground-water inflow between sites 7 and 8 was first estimated by averaging measured ground-water inflows between sites 6 and 7 and between sites 8 and 9. The natural flow then was computed by adding this estimated ground-water inflow to the measured streamflow at site 7. The measured discharge at site 8 (fig. 30) was used to calculate constituent concentrations at site 9. Using ground-water analytical concentrations only, this simple model adequately represented most constituents in streamflow (fig. 38), including constituents that were expected to react but varied only slightly in the reach, such as Na and SiO2. The mixing model diverged from measured concentrations, however, for dissolved gases and Mn (fig. 39). DIC in the model was about 2.5 times greater than measured, and DO was less than 10 percent of measured concentrations. Simulated Mn was close to measured concentrations at the beginning of the reach but was three times higher 5 km downstream. Reaction-Path Model Partial pressure of carbon dioxide (pCO2) in streamflow samples decreased from 10''-4 to 10"27 atmospheres, and the SI for calcite increased from -1.6 to 0.2 through the study reach. Average SI for all sites was 0.04 for gypsum and -0.22 for amorphous silica, and no trend was evident. Using Pt electrode potential to estimate the oxidation potential (Eh) of streamflow, SI generally was less than -2 for Mn oxides, although Mn oxides form in the reach. SI DC LU Q- w 100 z o t 80 o SODIUM 1,1 DO CHLORIDE SILICA o o D a DISTANCE UPSTREAM FROM INSPIRATION DAM, IN KILOMETERS EXPLANATION CONCENTRATION IN SURFACE WATER FROM CONSER- VATIVE MIXING MODEL A MEASURED CONCENTRATION IN SURFACE WATER MEASURED CONCENTRATION IN GROUND WATER Figure 38. Measured and simulated concentrations of dissolved sodium, chloride, and silica in surface water and ground water upstream from Inspiration Dam (modified from Eychaner, 1991b). was about 1 for rhodochrosite. Mn in fine-grained crusts of unknown age in Pinal Creek streambed can be represented as 85Cao although several minerals were present (Lind, 1991, p. 488); thermodynamic data for this form are not available. Reaction paths were computed with PHREEQE to develop the simplest possible model that adequately represents measured changes in streamflow chemistry. The model began with the same proportions of ground water as in the conservative-mixing model, and three additional processes were simulated. Reaction amounts 76 Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

UJ Q. CO CALCITE A O-; 40 z 80 INORGANIC CARBON UJ MANGANESE -M386420 DISTANCE UPSTREAM FROM INSPIRATION DAM, IN KILOMETERS EXPLANATION CONCENTRATION IN SURFACE WATER FROM CONSER- VATIVE MIXING MODEL - CONCENTRATION IN SURFACE WATER FROM REACTION- PATH MODEL CALCITE SATURATION INDEX A MEASURED CONCENTRATION IN SURFACE WATER D MEASURED CONCENTRATION IN GROUND WATER Figure 39. Measured and simulated pH and concentrations of dissolved chemical constituents in surface water and ground water upstream from Inspiration Dam (modified from Eychaner, 1991b). given in this section are based on 1 kg of solution and are stated in terms of distance, because travel time through the reach is uncertain. Simulation results are described in terms of subreaches between adjacent sample sites. First, net degassing of 5,360 umol of CO2 was specified in amounts that decreased linearly from subreach 1 (fig. D4) to subreach 6 and continued, at a smaller rate of decrease, to subreach 11. The average rate was 900 nmol/km. Second, Mn precipitation as 4.85Mn2+ + 0.15Ca2+ (Mn085H\ +18H+ (11) was specified at 300 nmol/km for the mineral. Oxidation of to was balanced by oxygen reduction, which can be represented by - 2H2O. Dissolved oxygen was specified at 600 jmol/km to balance reaction (2). The complete redox reaction for Mn oxidation is 0.15Ca2+

The dissolution of calcite, +2H+ Ca2+H2C03, (12) (13) was specified at 135 nmol/km to consume protons produced by reaction 3. An equal amount of CO2 degassing maintained the net downstream decrease in DIG. The amount of each reaction was calibrated to match measured pH, Mn, and DIG concentrations in streamflow. The reaction-path model adequately represented measured stream-water chemistry by using reasonable amounts of likely reactions (fig. D12). The model reproduced the calcite SI of streamflow samples, which indicates the specified dissolution was reasonable. Simulated concentrations of Ca varied less than 3 percent through the reach; the differences from measured concentrations were too small to require Distribution of Chemical Constituents in Surface Water, Final Creek Basin, Arizona 77

additional reactions. Average model SI was 0.04 for gypsum and -0.23 for amorphous silica. Simulated SI for all Mn oxides exceeded 3 and increased downstream. SI for hausmanite (Mn3O4) exceeded 9 for subreaches 10 and 11. The large difference between the modeled SI values and those computed from samples was primarily the result of using simulated Eh rather than Pt electrode potential. The logarithmic ion-activity product for reaction 2, for example, is more sensitive to pH and Eh than to Mn activity. The reaction-path model represents the changes along the perennial reach of Pinal Creek, but no attempt was made to represent details in each subreach. A different combination of reactions or amounts could improve the results, particularly in the four upstream subreaches (fig. 39) where the proportion of ground-water inflow is greatest and pH and dissolved-gas concentrations change most rapidly. Ion-exchange reactions might be significant. For the entire reach, reactions involving gypsum and amorphous silica are likely but probably are of minor importance. Information on the spatial distribution of CO2 degassing rates could improve the specification of CO2 degassing as a function of pCO2 and subreach length. Finally, diurnal variations in reaction rates caused by temperature, illumination, DO, or biological activity could be considered. SUMMARY Surface-water flow in most of Pinal Creek Basin is ephemeral, and consists of storm runoff, snowmelt, and occasional, accidental spills or releases from impoundments related to copper mining. Ephemeral flow in the basin can be mostly uncontaminated runoff from undeveloped areas, or may be a combination of the uncontaminated runoff and runoff from tailings and other mine areas that contain variable amounts of contaminants. From about 1941 until it was drained in 1988, Webster Lake was used to store natural runoff and process water and wastewater generated from mining activities. From 1981 through 1988, pH from the surface to the bottom (a depth of as much as 21 m) varied from 2.4 to 2.8 and contained large concentrations of sulfate and metals. The chemical composition of ephemeral streamflow in Miami Wash at Highway 88 varied in discharges from 0.00028 to 0.363 m3/s. The pH was 5.1 at a discharge of 0.00085 m3/s and 7.7 at a discharge of 0.368 m3/s. Concentrations of dissolved Cu and Zn generally varied inversely with discharge. On March 1, 1985, runoff in Bloody Tanks Wash (site 3), which flows eastward through Miami at the base of large tailings piles, contained concentrations of dissolved Cu, Mn, and SO4 greater than concentrations found in uncontaminated runoff at sites 1 and 2. Streamflow recharge to ground water prior to January 1985 caused ground-water levels to rise, resulting in the surface discharge of acidic ground water to Bixby Road seepage ditch. Water in the seepage ditch (sites 7 and 8) in March 1985 was similar to that in the acidic part of the subsurface contaminant plume. Concentrations of Mn, Fe, Cu, and Zn in the ditch were 26, 44, 3.3, and 1.0 mg/L, respectively. Streamflow and chemistry in Pinal Creek below the mouth of Miami Wash were mixtures of water from Russell Gulch, Bloody Tanks Wash, Pinal Creek above Miami Wash, and Bixby Road seepage ditch. Concentrations of SO4 increased downstream from 760 mg/L at sample site 9 to 1,400 mg/L at Inspiration Dam (site 15). Other major constituents increased slightly or remained about the same over the same distance, and trace constituents decreased. Concentrations of dissolved Fe and Cu decreased from 40 to <20 |ig/L and 80 to 40 mg/L, respectively. From 1985 through 1991, discharge of neutralized, contaminated ground water to Pinal Creek produced perennial flow from about 6 km above Inspiration Dam to the mouth. As ground water discharges to the stream and equilibrates with the atmosphere, pH increases one to two units. In March 1990, pH increased downstream from 6.0 to 7.5. In response to this increase, dissolved Mn concentrations decreased from about 90 to 15 mg/L and precipitated as crust on the streambed. Dissolved-solids concentrations at Inspiration Dam were 800 mg/L in 1942 and 2,800 mg/L in 1979. Dissolved-solids concentrations gradually increased to more than 3,500 mg/L by late 1988 and decreased to about 3,400 mg/L by 1991. Most concentrations of dissolved trace metals were near or below detection limits in most samples collected between 1979 and 1991. Mn concentrations increased steadily from 0.26 to 40 mg/L from 1979 through 1988 and were more variable from 1989 through 1991. Visible accumulations of Mn in the streambed were first observed in 1985. Streambed sediments provide only a temporary sink for Mn, however, because flood discharges break up and transport the cemented sediments. Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

Using only ground-water analytical concentrations, a simple conservative-mixing model of baseflow chemistry in the perennial reach above Inspiration Dam adequately represented concentrations of SO4, Cl, and SiO2 in surface water but diverged from measured concentrations for dissolved gases and Mn. Reaction paths were computed with PHREEQE to develop the simplest possible model that adequately represents measured changes in the streamflow. The model began with the same proportions of ground water as in the conservative-mixing model, and three additional processes were simulated: (1) degassing of CO2 in amounts that decreased linearly downstream, (2) Mn oxidation and precipitation, and (3) dissolution of calcite. The amount of each reaction was calibrated to match measured streamflow pH, Mn, and DIG. The model adequately represented measured streamflow by using reasonable amounts of likely reactions. Reproduction by the model of the calcite SI of streamflow samples indicates that the specified dissolution was reasonable. Simulated SI for all Mn oxides exceeded 3 and increased downstream. Distribution of Chemical Constituents in Surface Water, Final Creek Basin, Arizona 79

Chapter E Manganese and Iron Oxide Deposits and Trace-Metal Associations in Stream Sediments, Final Creek Basin, Arizona By Carol J. Lind and John D. Hem Abstract Ground water and surface water of Final Creek, Arizona, have been affected by metal-mining and refining wastes. The high acidity of the metal-rich ground water is gradually reduced as the water passes through and reacts with solid-phase minerals in the alluvium. As the acidified iron- and manganese-rich ground water loses carbon dioxide, takes up atmospheric oxygen, and increases in pH value, iron and manganese oxides precipitate sequentially near the land surface and in the streamflow. The manganese oxides especially are concentrated in the alluvium at levels where the water table has fluctuated and in the downstream creek bed where the pH of streamflow approaches neutrality. The precipitation sequence of iron and then manganese agrees with the downstream increase of the manganese-to-iron molar ratios in the stream sediments and with the known relation of pH values to iron oxide and manganese oxide precipitation rates. Manganese oxides precipitate as coatings on sediments and as fine particulates attached to stream sediments that consist of magnetite, hematite, and silicate minerals. The manganese oxide content becomes more significant as sediment particle size decreases and constitutes as much as 70 percent of some sediments in Final Creek that are less than 63 micrometers in diameter. The part of these black stream deposits that consists of manganese-oxide rich, nonmagnetic particles less than 63 micrometers in diameter is composed primarily of carbonates containing varying ratios of calcium, manganese, and magnesium; several manganese oxides (primarily 7-A phyllomanganates, such as rancieite and takanelite); amorphous iron oxides; and silicates. As manganese precipitation and oxidation progresses, these particulates and coated sediments are cemented together into black crusts. The distributions of manganese, iron, and trace metals in the extractable phases of stream deposits are related to major components of these phases and to various coprecipitation effects, especially within microdomains. Some of the many possible constituents of these microdomains are as follows. 1. Manganese oxides (hausmannite, groutite, manganite, sodium birnessite, rancieite, takanelite, and other forms of manganese oxides). 2. Mixed trace metal-manganese oxides such as hetaerolite, cadmium manganese oxide, and copper manganese oxide. 3. Other coprecipitates such as otavite, tenorite, and nickel hydroxide. 4. Mixed manganese minerals such as nickel asbolane (manganese oxide layers regularly alternating with nickel hydroxide layers). 5. Iron-manganese oxides such as manganesegoethite, jacobsite, and other variations. 6. Carbonates such as calcite, rhodochrosite, carbonates containing various calcium-toManganese and Iron Oxide Deposis and Trace-Metal Associations in Stream Sediments, Final Creek Basin, Arizona 81

manganese ratios, and a solid resembling the calcium-rich kutnahorite crystal form. 7. Ferrihydrite (semiamorphous Fe3+ hydroxide hydrate). 8. Iron-trace metal oxides. 9. Gypsum. In the sediments tested, a much higher trace-metal concentration occurred in the iron and manganese oxide extractants than in the carbonate extractants and much higher ratios of trace metal to manganese oxide and trace metal to iron oxide in the sediments that were less than 20 micrometers than in the coatings of the magnetic particles. Trace metals were present in higher proportions mole per mole in amorphous iron oxides than in manganese oxides; however, in the sediments containing primarily manganese oxides, the total amount of trace metals in the manganese oxides was greater than in the amorphous iron oxides. In the amorphous iron oxide extractants, mole ratio comparisons indicated that there was a strong copper to iron affinity and that nickel and zinc were related to manganese. Copper was the most concentrated trace metal in the bottom sediments at Setka Ranch and in sediment that settled behind a boulder at Inspiration Dam. Concentrations of nickel were higher than concentrations of the other trace metals in the bottom sediments at Inspiration Dam. In these sediments, nickel concentrations decreased slightly as the crusts formed and aged. Nickel was more concentrated in the manganese oxide phase than in the other extracted phases. INTRODUCTION Widely studied manganese (Mn) and iron (Fe) oxide-redox reactions have been described in the literature in terms of the controls these oxides exert on trace-metal concentrations in soils and water (Jenne, 1968); their participation in surface chemical processes in ground-water systems (Hem, 1978); the Mn-zinc (Zn), Mn-copper (Cu), Mn-nickel (Ni), and Mn-cadmium (Cd) coprecipitation mechanisms and products (Hem and others, 1987; Hem and others, 1989; and Hem and Lind, 1991); and Mn oxide precipitation and trace-metal concentration by adsorption, cation exchange, and coprecipitation (Lind and others, 1987). Over the last 100 years, metal-mining wastes have greatly altered the pH and increased the metal content of Final Creek, Arizona. By March 1985, the pH of the ground water at well 101, which is a site downstream from the major tailings piles, was 3.47, and the pH of the surface water at site 11, which is near the beginning of perennial flow, was 7.00. Samples from sites 1,2, and 3, on Final Creek tributaries upstream from contaminated ground-water inflow, had pH's of 8.60, 8.18, and 8.18, respectively (Eychaner and others, 1989; fig. 3, chapter A, this report). In September 1992, the surface-water flow at site 12, at Setka Ranch, about 1.2 km downstream from site 11, had a pH of 6.15. As the contaminated ground water nears the land surface, it loses carbon dioxide (CO2), absorbs oxygen (O2), and increases in pH. Iron oxides precipitate first, and then Mn oxides precipitate in surface water of near-neutral pH. Studies of the compositions of alluvial sediments within the contaminated ground-water flow path in Final Creek and in Mn-oxide streambed deposits in the downstream reach of perennial flow have determined the following. 1. Where acid neutralization is incomplete, sorption controls Cu, Ni, and cobalt (Co) distribution in the subsurface alluvium. Amorphous is the principal sorbent (Stollenwerk, 1990, 1991). 2. In the alluvium at a level where the water table had fluctuated a few years earlier, trace-metal coprecipitation by the Mn oxides is indicated by high concentrations of extracted trace metals and Mn oxides. Compared with the alluvium just above or below this level, these extracted trace-metal and Mn concentrations in the alluvium were about 15 to 27,2.4 to 8.0, 1.3 to 2.2, and 2.2 to 4.2 times greater for Mn, Cu, Zn, and Ni, respectively (calculated from Ficklin and others, 1991). 3. Trace-metal contents of selected cemented manganese crusts in the streambed sediment can be as high as 40,000 ng/g for Mn, 900 ng/g for Fe, 620 jag/g for Cu, and 190 jag/g for Zn (Eychaner and others, 1989). This report describes the Mn- and Fe-oxides precipitating in the perennial reach of Final Creek and the trace-metal relationships to some extractable phases of newly formed Mn-rich sediments. 82 Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

METHODS Field sampling, field observations, and chemical extraction of stream sediments were used to characterize the Mn oxides and Fe oxides in Final Creek. In conjunction with laboratory titrations and precipitations, this information was used to determine the conditions under which different mineral species precipitate in the streambed of Final Creek. Precipitation Procedure Mn oxides were precipitated from two samples of ground water and from one sample of surface water. The ground-water samples, 503-1 and 503-2, were collected in June 1988 from well 503, which is near the beginning of perennial surface flow. The surfacewater sample, PC 1, was collected in January 1989 at streamflow-gaging station, 09498380, Final Creek at Setka Ranch near Globe, Arizona, which is about 1.2 km downstream from well 503 (fig. 1, chapter A, this report). During the titrations, CO3-free air was flushed through an aliquot of the Mn-bearing ground water or surface water in a stirred, closed reaction vessel. The temperature was controlled by partial immersion of the vessel in a thermostated water bath. The pH of the aliquot was adjusted to a desired value by addition of 0.047 molar (M) NaOH solution using an autoburet as a pH-stat. As the desired pH was maintained, more sample water was added at a slow, constant rate of 0.5 mL/min using another autoburet. During the titrations, the pH in the solution was maintained between 9.00 and 8.50. The titration of ground-water sample 503 1 was intended to test the effect of supplying O2 to ground water. In ground water and surface water of Final Creek, dissolved CO2 species included substantial proportions of undissociated dissolved CO2 . To evaluate the possible effect of the CO2 species, the pH of surface-water sample, PCI, was first lowered to pH 4.93 by adding dilute hydrochloric acid (HC1); ground-water sample, 501-2, and the acidified surface-water sample, PCI, then were pretreated by flushing with CO2-free air before titration. The experiments were run for 5 to 7 hours daily for a week or more. After the experimental titrations were completed, the solutions and accompanying solids were aged for several months. During aging, contact with the atmosphere and room temperature were maintained. Samples of solution and solids were taken for analysis during the titrations and the aging periods (table 16). Mineralogical Determination of Laboratory Precipitates The mineralogies of the laboratory-produced precipitates were deciphered from the X-ray diffraction (XRD) and electron-diffraction analyses, Mn oxidation numbers, and analyses of sample solutions and oxalate sulfuric-acid solutions remaining from the oxidation-number determinations. The Mn oxidation numbers of the precipitates were determined by the oxalate sulfuric-acid method (Hem, 1980, p. 55). The solutions were analyzed by atomic-adsorption spectrometry (AAS; Hem and Lind, 1994). Table 16. Composition of laboratory precipitates in ground-water and surface-water samples, Final Creek Basin, Arizona Sample PCI Time since start of titration 5 hours 83 days 7 hours 112 days 12 hours 39 hours 132 days Manganese oxidation number Mineral species No data. resembling kutnahorite .2603); gypsum; and possibly hausmannite. No data. (Mn,Ca) oxides (such as todorokite or takanelite). Silicate (such as clinoenstatite), hausmannite, and manganite. Probably hausmannite. Manganite. Manganese and Iron Oxide Deposis and Trace-Metal Associations in Stream Sediments, Final Creek Basin, Arizona 83

Collection and Preparation of Stream Sediments Manganese-rich sediments that were in contact with streamflow were obtained near well 503, at Setka Ranch, at the Pringle diversion (about 4.1 km downstream from well 503), and at streamflow-gaging station, 09498400, Final Creek at Inspiration Dam, near Globe, Arizona (about 6.3 km downstream from well 503; fig. 1, chapter A, this report). The sediments (noncemented particles and cemented crusts) were separated according to size and then into magnetic and nonmagnetic fractions (table 17). The sediments collected near well 503 (503 samples) and at the Pringle diversion (PD samples) were separated into coarse and fine sizes by panning and settling; other sediments were separated by wet sieving. During the separations, distilled, demineralized water was used for the 503 samples and the PD samples. Composited water that simulated water from Pinal Creek was used for the samples from Inspiration Dam (ID samples) that were collected in 1990. Water from the respective sampling sites was used for the samples from Setka Ranch and Inspiration Dam and was collected in 1991-92 (SR, B, and LT-NC-SS samples). Precautions were taken to avoid trace-metal contamination during preparation and examination of the samples collected in 1991-92. The oxides and carbonates of Mn and Fe have a greater density than do the silicates; thus, segregation of these minerals from the silicates by settling was attempted for some of the <38-um particles in crusts collected in 1990 at Inspiration Dam. Conclusions, however, were not drawn concerning the differences in these segregated fractions (table 17). Determination of the Chemical Composition of Stream Sediments The sediments were extracted with several different media, and the resulting extractants were analyzed for cation content. Because an extraction method does not necessarily represent a precise delineation of one phase from another, a specific extraction may have removed more phases than the one indicated by its name. Molar ratio of major cation to Mn in selected portions of the ID samples were determined by extraction with hot 12 M HC1. The surface content of the large, nonmagnetic particles (ID-CC-NM-250S) was determined by heating in HC1 for only 5 minutes. The total contents of the other samples were determined by heating in HC1 for several hours. These other samples included large particles (samples ID-CC-M-250T and ID-CC-NM-250T) and smaller, easily suspended particles that had been attached to sample ID-CC NM-250T surfaces (samples ID-CC-NM-150SP and ID-CC-NM-1OSP). Samples ID-CC-NM-63, ID-CC-NM-45, IEM:C-NM->IOH, and ID-CC-NM-SSL were examined to determine the cation distribution in the phases extracted. The exchangeable cations were extracted with an NH4 acetate/acetic acid buffer. The carbonates along with the exchangeable cations were extracted with a Na acetate/acetic acid buffer. The reducible oxides, carbonates, and exchangeable cations all were extracted with ascorbic acid in a Na acetate/acetic acid buffer (table 18). A different sample aliquot was used for each extraction (Lind and Hem, 1993). Aliquots of the nonmagnetic fractions (<20 jum) and of the magnetic fractions (150-250 urn) of stream sediments collected in 1991-92 (SR, B, and LT-NC-SS samples) were sequentially extracted (table 18). The aliquots were extracted with 1 M MgCl2 at a pH of 7.00 to determine the exchangeable cations. Then these aliquots were extracted with 1 M Na acetate brought to pH 5.0 with acetic acid to determine the carbonates. Next these aliquots were extracted with 0.1 M NH2OHHC1 in 0.01 M HNO3 at pH 2 to determine the Mn oxides. And finally, these aliquots were extracted with 0.25 M NH2OH.HC1 in 0.25 M HC1 to determine the amorphous Fe oxides (Chao, 1972; Tessier and others, 1979; Chao and Zhou, 1983; and Lind and Anderson, 1992). Sample B-A-NC was excluded from the sequential extractions. The oxidation numbers of stream sediments were determined by the oxalate sulfuric-acid method (Hem, 1980, p. 55). Solutions remaining from the oxidation-number determinations and the supernatants from various extractions of the ID sample series were analyzed by AAS. The supernatants from the sequential extractions of the SR, B, and LT-NC-SS samples were analyzed by inductively coupled argon plasma. CHEMISTRY OF STREAM SEDIMENTS Sequential and consequential chemical extractions of sediments provided information on the major cation, trace-element composition, and mineralogy of stream 84 Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

Table 17. Description and composition of selected stream sediments, Pinal Creek Basin, Arizona [ , no data; greater than; less than. Sample LT-NC-SS was light tan and had settled behind a boulder. All other samples were black streambed sediment. Concentrations and molar ratios are from oxalate-solution analysis] iganese and Iron Oxide Deposis and Trace-Metal Associations in Stream Sediments, Pinal Creek Basin, Arizona Sample identifier Date of sample Age of manganese crust Sediment type Range, in micrometers, or description of sediments Mag- Manganese Man- Iron to netic oxidaganese, manprop- tion in ganese erty number percent molar ratio Mineral type Near Well 503 503-CC-1F 503-CF-2F 503-CC-3M 503-CC-3F Well cemented do do do . Finely divided . do . Coarse . Finely divided No No Yes No

Quartz, magnetite, hematite Quartz, magnetite, Na birnessite Setka Ranch (1.2 km downstream from Well 503) SR-B-LCM SR-B-LC-250 SR-B-LC SR-B-CC

months Loosely cemented do do ...do do ...do Well cemented.. . Yes No No No Quartz, magnetite, mica/illite, hematite, (rancieite, jacobsite, and (or) kutnahorite)-? Quartz, mica/illite, plagioclase, (rancieite, jacobsite, and (or) kutnahorite) Quartz, Na birnessite, mica/illite, plagioclase, rancieite, takanelite Quartz, Na birnessite-?, rancieite, plagioclase, takanelite, K feldspar Pringle diversion (4.1 km downstream from Well 503) PD-CO-R PD-CO-P PD-CC-M PD-CC-F Coating on rocks Coating on pebbles .. Well cemented.. do . Coarse . Finely divided No No Yes No

Quartz, mica, (manganite, Na birnessite, hausmannite, illite/chlorite)(?) Do. Quartz, magnetite Quartz, Na birnessite Inspiration Dam (6.3 km downstream from Well 503) ID-CC-M-250T ID-CC-NM-250T ID-CC-JM-250S ID-CC-*JM-150SP year Well cemented do do do do ...do do ...do do . do Surface of ' 150-250. 10-1 50 attached .. to surface of 0.1-10 attached .. to surface of Yes No No No No Magnetite and ? some mica. some mica Quartz, mica, plagioclase, rancieite, takanelite

Table 17. Description and composition of selected stream sediments, Final Creek Basin, Arizona Continued O$tt Q. a § o tt o Q 5' Q io 6" j Sample identifier Date of sample Age of manganese crust Sediment type Range, in micrometers, or description of sediments Mag- Manganese netic oxidaprop- tion erty number Man- Iron to ganese, manin ganese percent molar ratio Mineral type Inspiration Dam (6.3 km downstream from Well 503) Continued TD CC NM ID-CC-NM-63 ID-CC-NM-45 ID-CC-NM-8 ID-CC-NM-38H ID-CC-NM-38L ID-CC-NM->10H ID-CC-NM-<10H B-NC-BSM B-NC-BS B-NC-CCM B-N-CC B-A-NC B-A-CCM B-A-CC ...do ...do ...do do ...do ...do ...do Before crust ...do

months ...do

months ...do ...do do do do do do do do Noncemented do Well cemented... do Noncemented, not part of crust. Well cemented do Settled rapidly Settled slowly Settled rapidly Settled rapidly <20 <20 <20 <20 No No No No No No No No Yes No Yes No No Yes No Quartz, mica, plagioclase, rancieite, takanelite Do. Do. Do. 0079 Quartz' mica plagioclase, rancieite, takanelite Magnetite, hematite, Quartz, clay, rancieite, takanelite,

spinel resembling hausmannite, jacobsite-?, ferrihydrite-? Magnetite, hematite, Quartz, clay, rancieite, takanelite,

spinel resembling hausmannite, jacobsite-?, ferrihydrite-? Magnetite, hematite, Quartz, clay, rancieite, takanelite,

soinel resembling hausmannite. iacobsite-?. LT-NC-SS 01-92 ...do Noncemented, not part of crust. <20 No ferrihydrite-? Quartz, clay, rancieite, takanelite, spinel resembling hausmannite, jacobsite-?, ferrihydrite-?, goethite-?

Table 18. Comparison of molar ratios of major cations to manganese and to iron in some extractants of selected sediment samples from Inspiration Dam [ , iron concentrations are below detection; therefore, ratios are not shown] Molar ratios Sample identifier Range of particle size, in micrometers Iron to Calcium to Calcium to Magnesium manganese iron manganese to iron Magnesium to manganese Ammonium acetate extraction (exchangeable cations) IEM:C-NM-63 ID-CC-NM-45 ID-CC-NM->10H ID-CC-NM-38L Settled rapidly Settled slowly Sodium acetate extraction (exchangeable plus carbonate cations) IEM:C-NM-63 ID-CC-NM-45 ID-CC-NM->10H ID-CC-NM-38L Settled rapidly Settled slowly Hydrochloric acid extraction (total sample) ID-CC-M-250T ID-CC-NM-250T ID-CC-NM-250S Surface of 150-250 ID-CC-NM-150SP ID-CC-NM-10SP Attached to surface of 150-250 Attached to surface of 150-250 sediments. Particles from each of the size fractions were present in the ID samples from crust collected in 1990 at Inspiration Dam. The 63-250-im sediments comprised 82-97 weight percent of the <250-im particles in sediments and crusts collected in 1991-92 at Inspiration Dam. The 63-250-|Lim particles together with the <20-|Lim particles comprised 96-100 weight percent of these samples. Particle-size distribution in the crusts collected in 1991 at Setka Ranch was not measured but appeared to be similar to particle-size distribution of the material collected in 1991-92 from Inspiration Dam. A considerable amount of strongly magnetic material was found in all sediment samples. The magnetic material was especially concentrated in fractions that were 63-250 in size and was not obvious in fractions that were <20 in size. In the ID samples, the Mn oxide precipitates were primarily coatings or fine particulates loosely attached to the surface of the 150- to 250-im sediments. The contents of the different extractants for each sample are illustrated in terms of major cations and total trace metals in Figures 40,4 and 40C and in terms of individual trace metals in figures 4QB and 40D. The correspondence of a specific trace metal to the major cations in an extract can be observed by vertical comparison of figures 40,4 and 405. The Mn concentration in the Mn oxides was so predominant that log units were used in figure 40,4 and 40C so that differences between the major cation concentrations Manganese and Iron Oxide Deposis and Trace-Metal Associations in Stream Sediments, Final Creek Basin, Arizona 87

Cemented Crusts, Setka Ranch and Inspiration Dam Cemented Crusts, Setka Ranch Magnetic particles (150-250 micrometers) Nonmagnetic particles Oz DC LU io oo DC DC O LU C'Mn'Fe' 'C'Mn'Fe' ' C' Mn' Fe' ' C Mn Fe C Mn FeC Mn Fe SR-LC-M B-NC-BS-M B-N-CC-M B-A-CC-M SR-B-LC SR-B-CC EXPLANATION I Manganese Trace metals EXTRACTANTS C-Carbonate; Mn-Manganese oxide; and Fe-Amorphous iron oxides Cemented Crusts, Setka Ranch and Inspiration Dam Cemented Crusts, Setka Ranch LUI 325Q co O 97R

pen

ppc LU

175DC U -icn O DC 0 125z inn - CO rf

LU oc O e Magnetic particles (1 50-250 micrometers) J J HB .lllJj rJ J

Nonmagnetic particles 1 (less than 20 micrometers) a B I -HI nil 11 rJ

J HH J C'Mn'Fe' 'c'Mn'Fe' 'c'Mn'Fe 1 ' C ' Mn'pe' ' ' C ' Mn'pe' 'c'Mn'Pe SR-LC-M B-NC-BS-M B-N-CC-M B-A-CC-M SR-B-LC SR-B-CC EXPLANATION I Nickel EXTRACTANTS C-Carbonate; Mn-Manganese oxide; and Fe-Amorphous iron oxides Figure 40. Results of sequential extractions of selected sediments. A and C indicate the major cation contents of the extractants in log units, and B and D indicate the trace-metal contents of the extractants in linear units. 88 Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

CO CD O Z CC UJ 7 L1J in CO OCD s Cemented crusts, Inspiration Dam Noncemented sediments, Inspiration Dam n n r Nonmagnetic particles (less than 20 microme : PI

n ers)

n Nonmagnetic particles (less than 20 n micrometers) n 1 C Mn Fe' ' C 'Mn Fe' 'EX' C Mn Fe' 'EX C 'Mn Fe ' C WFe' ' C 'Mn Fe 'EX' C 'MnFe' B-N-CC-1 B-N-CC-3 B-A-CC-1 B-A-CC-2 LT-NC-SS B-NC-BS-1 B-NC-BS-2 EXPLANATION I Manganese HUH! Iron mBi Calcium [ T j Trace metals EXTRACTANTS C-Carbonate; Mn-Manganese oxide; Fe-Amorphous iron oxides; and EX-Exchangeable cation Cemented crusts, Inspiration Dam Noncemented sediments, Inspiration Dam UJ yen a

Uj 700Co O Cd

OC son Uj

m Ann OC CD o O

co" 20° SI 100g n O Nonmagnetic particles (less than 20 micrometers) -rf i' rj tie H Tl" P. ! S fll ri nJ n Oil 10IU Nonmagnetic particles (less than 20 micrometers)

; : ! , n n Tt : ' C ' Mn' Fe' ' C ' Mn' Fe' ' C ' Mn' Fe' ' C ' Mn' Fe' ' C ' Mn' Fe' ' C ' Mn' Fe C ' Mn' Fe' B-N-CC-1 B-N-CC-3 B-A-CC-1 B-A-CC-2 LT-NC-SS B-NC-BS-1 B-NC-BS-2 EXPLANATION Nickel HH Lead HHl Zinc Copper EXTRACTANTS C-Carbonate; Mn-Manganese oxide; and Fe-Amorphous iron oxides Figure 40. Continued. Manganese and Iron Oxide Deposis and Trace-Metal Associations in Stream Sediments, Pinal Creek Basin, Arizona 89

could be illustrated. In figures 40B and 40Z), the trace-metal concentrations are plotted on a linear scale. In this chapter, the term "trace metals" only applies to Cu, Ni, Pb, and Zn and not to Mn or Fe. Major Cation Distribution in Stream Sediments In the <63-um samples from Inspiration Dam, the molar concentrations of the exchangeable cations decreased in the following order: Ca, Mn, Mg, Na, K, Ni, Cu, Zn, and Fe. In these samples, exchangeable Ca was two to three times that of Mn; however, Mg was only 0.3 to 0.4 times that of Mn (mole/mole). In the carbonate-plus-exchangeable-cation extractant of these samples, Fe was below detection, and the molar ratios of Ca to Mn averaged near 6 although the molar ratio Mg to Mn averaged slightly less than 1. Mn, however, was about 10 times more concentrated than Ca in the extractant that removed all three phases (reducible oxides, carbonates, and exchangeable cations). In this extractant, the ascorbic-acid extractant, the molar ratio of Ca to Mn, Mg to Mn, and Fe to Mn did not vary much with sediment size and were 0.10-0.11, 0.01-0.02, and 0.05-0.07, respectively (table 18). A brief summary of the major cation distribution in the SR, B, and LT-NC-SS samples is as follows: 1. In the exchangeable extractants, Ca was the major cation in the nonmagnetic B samples and sample LT-NC-SS (all <20 um). Ca was 10 times more concentrated than Mn, which was the next most concentrated cation. 2. In the carbonate extractants, Mn and Ca were the primary cations in the nonmagnetic samples (<20 um). Mn was the dominant carbonate cation in the magnetic samples (150 250 um) and in several nonmagnetic <20-um samples. The carbonate Fe content was 10 or more times greater in sample LT-NC-SS than in both magnetic and nonmagnetic B samples. 3. In all Mn-oxide extractants, Mn was the primary cation. 4. In the amorphous Fe-oxide extractants, Fe and Mn were the major cations in the nonmagnetic samples that were <20 um in size. Ca content was slightly greater than that of Fe in the amorphous Fe-oxide extractants of the magnetic samples (150-250 um; figs. 40/4 and 40Q. Trace-Metal Distribution in Stream Sediments The trace-metal contents of the Mn-oxide and amorphous Fe-oxide extractants of the nonmagnetic samples (SR-B-CC, B, and LT-NC-SS samples; <20 um) were much greater than the contents of the carbonate extractants. The trace-metal content of the amorphous Fe-oxide extractant of the loosely cemented crust from Setka Ranch (SR B LC) was greater than that of the Mn oxide and carbonate extractants. In the Mn oxides, molar ratios of total trace metal to Mn were from 1.4 to 2.0 times greater in the nonmagnetic samples (<20 um) than in the magnetic samples (150-250 um). In the amorphous Fe oxides molar ratios of total trace metal to Fe were from 2.7 to 4.8 times greater in the nonmagnetic samples (<20 um) than in the magnetic samples (150-250 um). Cu was the major trace metal in most extractants. Cu was the predominant trace metal in the carbonate extractants of all the samples except in magnetic sample SR B LCM in which Ni was the predominant trace metal. Cu was the major trace-metal cation in the Mn oxide extractants of the nonmagnetic and magnetic SR samples from the Setka Ranch site, which is about 1.2 km downstream from well 503 and in the nonmagnetic sample (LT NC-SS) from Inspiration Dam, which is 6.3 km downstream from well 503 but not in the nonmagnetic B samples from Inspiration Dam. Cu was the most concentrated of the trace metals in the amorphous Fe-oxide extractants of all the magnetic and nonmagnetic samples from both sites. In the Mn oxide extractant of the B samples, concentrations of Ni were higher than concentrations of other trace metals and were higher than concentrations of Ni in the other extractants. Concentrations of Ni decreased slightly as the crusts developed and aged. Ni content of the Mn oxide extractant of the B samples (the black, noncemented sediments and black, cemented crusts) was greater than that of sample LT-NC-SS (light-tan noncemented sediment; figs. 40£ and 40D). Mineralogy of Stream Sediments All unaltered stream-sediment samples were examined by XRD. Some ID-CC NM samples also were examined by XRD after the Na acetate-acetic acid extractions and (or) after the ascorbic-acid extractions. These XRD results were correlated with other data 90 Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

such as Mn-oxidation numbers to determine the mineralogy of the sediment samples (table 17). Nonmagnetic ID samples (<63 um) contained mostly a takanelite-rancieite mixture, (Ca,Mn) 7-A phyllomanganates. These samples also contained about 20 percent 5 percent Fe (calculated as FeOOH), 2- to 4-percent exchangeable cations, and trace amounts of several silicates. In addition to the minerals identified in the ID samples, XRD reflections for the SR, LT-NC-SS, and B samples indicated less oxidized Mn minerals and other Fe oxides. XRD reflections of the SR samples suggested the 7 A-phyllomanganate, Na-birnessite. The magnetic samples contained magnetite and hematite, and XRD indicated jacobsite in the coatings of the magnetic SR samples. For the magnetic samples, the dominance of the magnetite peak heights and the similarity of the magnetite peak locations to those of jacobsite and hausmannite hindered definite XRD identification of minor amounts of these latter spinels. MANGANESE- AND IRON-OXIDE DEPOSITION IN STREAM SEDIMENTS Mn oxides found in the stream sediments along the perennial reach of Pinal Creek occur as black, noncemented and cemented crusts, and as coatings on pebbles. Much of the amorphous Fe oxide (1,000 to 5,000 ug/g of sediment) probably is present as coatings on the alluvial material. Amorphous Fe oxide suspended in the ground water, however, can become a constituent of the ground-water outflow (Lind and Hem, 1993). Manganese-Oxidation Processes A reaction pathway for Mn deposition can be described as follows: 1. Where Mn oxide crusts are observed, surface water can have a pH of 8.2 but generally is less than 8.0. At these pH values, the Mn oxidation rate is slow in abiotic, laboratory solutions and has no particulate surface present. In the presence of natural surfaces, however, the precipitation rate is enhanced. Diem and Stumm (1984) found that, for Mn2+ in surface structures or bound to hydrous oxides, oxidation by O2 requires a much smaller activation energy than direct oxidation by O2. The Mn2"1" could be in the surface structures of and MnCO3 or in surface complexes where Mn2"1" is bound to hydrous oxides such as Fe2"1", Mn2"1", or Mn4"1". Equation 14 illustrates the (surface-hydroxyl group) - Mn2"1" - pH - O2 control of Mn2"1" oxidation rate in the presence of y-FeOOH. (Mn )apO2 dt (14) where Mn2+ k ooFeOH a

p02

t H+

activity of Mn2"1"; constant; concentration of surfacehydroxyl groups, in moles per gram of oxide; concentration of oxide, in grams per liter; partial pressure of oxygen, in atmospheres; time; and activity of H"*"(Davies, 1986). 2. Hem and Lind (1983) found that hausmannite (Mn3O4) was the primary precipitate at 25°C in aerated, 0.01 M solutions of MnCl2, MnSO4, or Thus, hausmannite is probably the initial Mn oxidation product to expect in the SO4-rich water of Pinal Creek. 3Mn2+ 3H2O Mn3O4 6H+. (15) 3. Once formed, hausmannite could proceed through disproportionation cycles and produce more highly oxidized Mn oxides and Mn2"1". The released Mn2"1" could recycle to form more Mn oxide. Mn3O4 2+ 2H 2MnOOH + Mn, and (16) 2MnOOH + 2H+ 2H2O Mn (17) Molar Ratios of Major Cations The Fe-to-Mn molar ratios of the crusts collected in June 1 988 decreased by more than a factor of 5 in the 4.2-km segment of the stream from near well 503 (sample 503-CC-3F) downstream to the Pringle Manganese and Iron Oxide Deposis and Trace-Metal Associations in Stream Sediments, Pinal Creek Basin, Arizona 91

diversion (sample PD-CC-F). These ratios suggest a sequence of precipitation of Fe oxide at more acidic pH values and then of precipitation of Mn oxide downstream at near-neutral pH values (table 17). The molar-ratio data for Fe to Mn indicate that Mn is precipitating on Fe-rich surfaces and that, as the crusts form, the Mn-oxide precipitates become more significant than the substrate Fe, especially in the fine particles. For example, as the Mn oxides transformed from coatings (sample PD-CO-R and sample PD-CO-P) to fine particulates in the crust (PD-CC F), the molar ratio of Fe to Mn decreased by a magnitude of 6 and 3, respectively (table 17). The molar ratio of Fe to Mn in the ID samples decreased in the order: magnetic (150-250 fim), nonmagnetic (150-250 jam), surfaces of these nonmagnetic particles, smaller particles attached to these surfaces (table 18). The molar ratio of Fe to Mn in the nonmagnetic ID samples (<75 jam) was even lower (table 17). This ratio in the exchangeable-cation extractant of these ID samples decreased with particle size (table 18). The degree of oxidation of the Mn oxides may relate to the Fe-to-Mn molar ratios. This relation is illustrated by the fact that these molar ratios decreased inversely with the value of the Mn-oxidation number in the order PD-CO-R, PD-CO-P, PD-CC-F, and the <75-|im ID samples. Also, the molar ratios of Fe to Mn in the Mn-oxide, carbonate, and amorphous Fe-oxide extractants of the sample LT-NC-SS were higher than in the nonmagnetic B samples, and the Mn-oxidation number of sample LT-NC SS was lower than that of the nonmagnetic B samples (all <20 fim; table 17; figs. 40A and 40Q. In the hot-HCl extractants of the ID samples, the molar ratios of Ca to Fe in the <150-(im particles were greater by a factor of 400 over those in the 150-250 particles. Molar ratios of Ca to Mn were between 0.36 and 0.16 in all the HC1 extractants. The similarity of the molar ratios of Ca to Mn indicates a relation of Mn to Ca. (Mn,Ca) carbonates and the (Mn,Ca) oxides could have such a relation. Molar ratios of Mg to Mn varied more than molar ratios of Ca to Mn and were higher in the large particles. The hot-HCl extraction probably released Mg not only from exchange sites, carbonates, Mn oxides, and Fe oxides but also from silicates such as biotite, which is a mica. Molar ratios of Ca to Mn and Mg to Mn decreased slightly with particle size and were much higher than in the HC1 extraction of the total samples in the exchangeable-cation and the exchangeable-plus-carbonate-cation extractants of the nonmagnetic ID samples (<75 jam; table 18). Manganese Content In the SR samples, the Mn content may have contributed to the degree of cementation. This is shown by the Mn content of 20 percent for loosely cemented crust (sample SR-B-LC) and 32 percent for wellcemented crust from (sample SR-B-CC) about a centimeter away. In the B samples, collected about 5.1 km downstream from the collection site of the SR samples, a decrease of Mn content was observed as the crusts developed. Mn content did not noticeably change after the crusts formed. Mn content was 35 percent before crust formation in sample B-NC-BS (noncemented material collected in July 1991) compared with the 26-27 percent Mn in samples B-N-CC and B-A-CC (cemented crusts collected in November 1991 and in January 1992). Higher Mn content of the black sediment before crust formation compared with the Mn content during crustal development may have been a result of dilution. In other words, the ratio of the settling rate of non-Mn fine particulates to the rate of Mn accumulation may have been greater during the time of crust development than before crust development. This higher settling rate also could account for the fact that the noncemented samples collected in January 1992 had a low Mn content of 23 percent in sample B-A-NC and 8 percent in sample LT-NC-SS (table 17). Mineralogy of Manganese Oxides For the material coating the rocks and pebbles, the Mn-oxidation numbers (3.28 and 3.39) and XRD indicate a mixture of Mn oxides (table 17). In the nine <75-|im ID samples, the average Mn-oxidation number was 3.65±0.04. When the Mn-oxidation numbers were corrected for Mn2+ in the carbonate and exchangeable extractants, the average Mn-oxidation number was 3.78±0.04. The XRD patterns of the carbonate-free samples indicated a rancieite and takanelite mixture. These 7-A phyllomanganates are discussed extensively in Lind and Hem (1993). Some calculated Mn-oxidation numbers for 7-A phyllomanganates are listed in table 19. The Mn-oxidation numbers of the <20-|im nonmagnetic sediments increased during the 92 Hydrology and Geochemistry of Aquifer and Stream Contamination, Final Creek Basin near Globe, Arizona

transformation from low Mn, settling sediments (sample LT-NM-SS); to Mn-coated, noncemented streambed particles (samples B-NC BS and B-A-NC); and finally to Mn crusts (samples B-N-CC and B-A-CC). The oxidation numbers of the crusts from the SR samples and the B samples averaged 3.68±0.03 (table 17). In addition to the identified minerals in the crusts, indications of other Mn oxides in the particles (<20 jam) of the SR samples, such as Na-birnessite, hausmannite, groutite, and manganite, further illustrate the mixture of minerals in the crusts and suggest that more than one Mn reaction, redox, and (or) disproportionation is occurring simultaneously. Possible Mn-oxide and Fe-oxide coexistence and interaction during the initial crust formation may be indicated by a spinel resembling hausmannite and possibly jacobsite and ferrihydrite in the nonmagnetic B-sample series and in sample LT-NC-SS. The term "ferrihydrite" applies to a Fe3+ hydroxide hydrate that comprises a range of poorly ordered compounds containing 15-25 percent water (Cornell and others, 1989). The presence of goethite in sample LT-NC-SS and possibly of hausmannite and jacobsite in sample SR-B-LC adds to this evidence. Correlation of Laboratory Manganese Precipitates With Manganese Precipitates in the Alluvium and the Streambed Near the water table, a loss of dissolved CO2 causes the pH of the ground water to increase; however, the low O2 content of the ground water may restrict the rate of Mn oxidation and allow coprecipitation of carbonates such as (Ca2+Mn2+Mg2+)CO3 and Mn oxide. In the laboratory, a solid resembling a Ca-rich kutnahorite crystal form described by Gabrielson and Sundius (1966) was precipitated from sample 503 1 (table 16). The Ca-to-Mg molar ratio of carbonate in an alluvial sample also was similar to this Ca-rich kutnahorite. This alluvial carbonate contained minor amounts of Mn and Fe, The formula for the kutnahorite of Gabrielson and Sundius (1966) indicates that the relative proportions of Mn and Mg can vary. Fe has been measured as a minor component of kutnahorite (Tsusue, 1967). The alluvial sample was collected 6 months after the collection of sample 503 from a well site about 10 m from well 503 at a level about 2 m higher than the screened interval of well 503. The formula for Ca-rich kutnahorite is not greatly different from the composition calculated for the carbonate Table 19. Calculated manganese oxidation numbers of 7-A phyllomanganate minerals, Final Creek Basin, Arizona [Values are based on general formula and chemical compositions] Mineral name Takanelite ... Rancieite Takanelite Takanelite.. Rancieite Na-birnessite Na-birnessite Reference . Nambu and . Fleischer and Richmond ( 1 943 )2 . Frondel and others (I960) . Kirn (1991) . Richmond and others (1969) . Jones and Milne (1956) . Jones and Milne (1956)... Manganese oxidation number Earlier definitions

'3.65

Recent definitions

General formula

(Ca, 4R2xMn1 .xO2nH3O TV Tin TV 5R'2xMn4+1.xO2.nH2O 'Minimum value. 2Kim (1990) considered this an impure rancieite containing todorokite and braunite. Maximum value. 4Kim (1990). (R M2+and other cations of 2+ charge). 5Kim (1990) concluded a better representation of this mineral probably would be (R1 Mn3"1" and other cations of 1+ and 2+ charge). Manganese and Iron Oxide Deposis and Trace-Metal Associations in Stream Sediments, Final Creek Basin, Arizona 93

in sample ID-CC-NM-63. In the smaller-sized ID samples, the Ca and Mn content was higher than in ID-CC-NM-63 (table 20). The XRD pattern for the laboratory precipitate 503 1 correlated well with the Ca-rich kutnahorite, although XRD analysis alone is not sufficient for absolute identification of kutnahorite (Mucci, 1991). The XRD patterns for the ID samples contained many peaks that suggested that kutnahorite was present; however, the usually prominent 100-intensity peak for this mineral was not obvious. The carbonate from the core material was not examined by XRD. Regardless of whether they are precipitating out of ground water or surface water or are forming by alteration of existing carbonate solids, mixed (Ca, Mn, Mg) carbonates probably contribute to the reactions that occur during the Mn oxide deposition. Gypsum also was precipitated from sample 503 1. Ca content of gypsum, however, was not a significant component of the Ca content of the carbonate extractant of the alluvial material. In this material, 81 percent of the total extracted sulfate was contained in the carbonate extractant. If all this sulfate were in the form of gypsum, the Ca involved would constitute only about 1 percent of the total Ca in the carbonate extractant. The precipitation sequence from sample 503 2 probably resembles fairly well the conditions in downstream reaches of Final Creek, the conditions under which naturally occurring noncemented streambed oxides are formed. The oxidation number of Mn (3.0) of the precipitate present at the end of the titration suggests that a trivalent Mn oxide predominated. With aging, the Mn oxide disproportionated in the Ca-rich solution to form (Mn,Ca) oxides such as todorokite (Frondel and others, 1960; and Lawrence and others, 1968) and (or) the related species takanelite (Nambu and Tanida, 1971). As the concentration of dissolved HCO3 and other CO2 species decrease and dissolved O2 increases, the Mn-oxidation rate increases and carbonates no longer precipitate in significant amounts. The CO2 and HCO3 content of sample PCI was decreased before titration began. The Mn-oxidation sequence for precipitation from PCI was similar to that found in previous laboratory experiments using simpler solutions that contained a Na salt for ionic-strength control and either Mn alone or Mn and one other metal ion as the reacting metal ions. The Mn oxidation sequence in sample PC 1 during the titration and aging could lead to the formation of the Mn oxides, hausmannite, manganite, and Na-birnessite (a 7A-phyllomanganate) that were found in the black coatings and crusts from the Pringle diversion (tables 1, 2). CRUST FORMATION The following is a summary of a lengthy discussion of literature findings and data from Pinal Creek (Lind and Hem, 1993) as well as additional observations. 1. Before and during crust formation, Fe- and Mn-rich sediments including Ca- and (or) Mn-rich carbonates, magnetic material (mostly magnetite), amorphous Fe oxides, and silicate minerals may have been washed down from surrounding soils or by turbulence from upstream areas or may already have been in the streambed. These sediments can become incorporated in the developing cemented crusts. Table 20. Comparison of carbonate compositions, Pinal Creek Basin, Arizona Sample identifier Composition Source Ca-rich kutnahorite Pinal Creek alluvium ID-CC-NM-63 ID-CC-NM-5 ID-CC-NM-38L ID-CC-NM->10H

COQ 79Mn0 09Mg0 , 2CO3 11 Do Do. Gabrielson and Sundius (1966). Calculated from carbonate extractant content in Ficklin and others (1991). Lind and Hem (1993). Do. Do. Do. 94 Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

2. Considering saturation indices, calcite (CaCO3) and rhodochrosite (MnCO3) may precipitate from the streamflow in the reach between Setka Ranch and Inspiration Dam. 3. Besides precipitating as MnCO3, dissolved Mn could substitute for Ca in calcite and (or) react with calcite and coprecipitate as resulting in Mn-rich carbonates in the streambed. 4. At the particle surfaces, Mn2+ in the surface structure or as surface complexes could oxidize directly as in equation 15 and disproportionate to give more highly oxidized Mn oxides as in equations 16 and 17. 5. Amorphous Fe oxide could deposit on the carbonate phases that contain Mn, and as the Fe-oxide crystal mass develops, the increased pH at the Fe oxide-mixed carbonate interface would tend to increase the Mn2+-oxidation rates. 6. Hausmannite (Mn3O4) has some magnetic property and would be attracted to the magnetite in the sediment. Hausmannite would continue to oxidize and thus contribute to the coatings of the magnetic particles. 7. Sediment-degradation products probably are the sources of fine-grained silicate minerals in the <63-um fraction of the black crusts. 8. Carbonate minerals could act as a cementing mechanism in the black cemented crusts by coating silicate grains. Eychaner (1991c) found that this was the general case for the alluvial material beneath the intermittent reach of the creek. Mn-oxide coatings and the magnetic properties of minerals present also could contribute to the crustal cementation. 9. Trace metals transported in the streamflow can interact with the complex mixture of Fe oxides, Mn oxides, carbonates, and silicates in the black cemented crusts. TRACE-METAL ASSOCIATIONS Many factors control trace-metal concentrations and molar-ratio variations of individual trace metals to Mn and to Fe in the extracted phases of the sediments. Some of these controls are trace-metal concentrations, pH and Eh values of the streamflow, Mn-oxide and amorphous Fe-oxide precipitation rates, sedimentation rate, and sediment composition. The following summary concerning metals in the B, LT NC SS, and SR samples include observations presented in Lind and

1. Besides the high Mn concentration, the fact that Ni was the only other measurable metal in the exchangeable-cation extractant agrees with the fact that Ni has a greater affinity for ion-exchange resins than Cu and Zn (Peters and others, 1974). 2. In the carbonate extractants, Cu was the most concentrated trace metal. Concentrations of Ni and Zn were much higher than concentrations of Fe, Pb, and Cd in all samples except sample LT NC-SS in which Fe was second to Cu in concentration. 3. Comparison of the trace metal to Mn ratio (fimol/mol) in the Mn-oxide extractants with the trace metal to Fe ratio (umol/mol) in the amorphous Fe-oxide extractants indicates that Cu, Ni, Zn, and Pb have a greater affinity for Fe than for Mn. 4. Mn oxides are the predominant extractable phase, and for all samples except one, the Mn-oxide extractants contained more grams of total trace metals per gram of sediment than did the amorphous Fe-oxide extractant. In the amorphous Fe oxides of sample SR B-LC, the Cu concentration was much greater than the total trace-metal concentration in the Mn oxides. 5. The molar ratio of Mn to Fe in the Mn-oxide and amorphous Fe-oxide extractants varied between aliquots of the same samples. This variation indicates that microdomains of differing cation content and extractability are present. These microdomains may contain one or more of hydroxides and oxides of Mn, Fe, and trace metals as well as various combinations of these constituents (Hem, 1980; Hem and Lind, 1983, 1991; Hem and others, 1987, 1989; and Manceau, 1989; table 21, chapter E, this report). Manceau (1989) noted that hydroxide precipitation at solid-solution surfaces is widely recognized and that there is a growing awareness that cations are largely unmixed on a microscopic scale in sediments. 6. Ferrihydrite in the Mn-rich setting of Pinal Creek may convert to Mn goethite and jacobsite. Cornell and Giovanoli (1987) found that ferrihydrite converted to Mn-goethite and (or) jacobsite (a Mn-Fe spinel) in a MnNO3 solution closed to the atmosphere at a pH range of 8 to Manganese and Iron Oxide Deposis and Trace-Metal Associations in Stream Sediments, Pinal Creek Basin, Arizona 95

14 and at a temperature of 70°C. XRD suggested ferrihydrite and jacobsite in nonmagnetic B samples and sample LT NC-SS (all <20 jm) and suggested goethite in sample LT-NC-SS. The pH's of the streamflow with which these samples were associated were 7.92, 7.54, and 8.01; and the temperatures were 30, 16, and 18°C, respectively. 7. Ni and Cu concentrations were higher than Zn and Pb concentrations in extractants of the magnetic samples. Ni was the most concentrated metal in the Mn-oxide extractant of the nonmagnetic B samples (<20 urn). In the amorphous Fe-oxide extractants of different aliquots of the same sample of nonmagnetic sediments (<20 um), molar ratios of Ni to Fe and Zn to Fe (umol/mol) varied with fluctuations in Mn to Fe (mol/mol). Perhaps Ni becomes incorporated into Mn oxide by initially concentrating on the oxide as an exchangeable cation or by oxidation of mixed carbonates that contain Ni. The correlation of Zn and Ni concentration with the Mn concentration may be explained by the formation of a spinel structure containing Zn and by coprecipitation of Ni hydroxide with Mn-Fe oxides as in the mixed minerals described above in observation 5. 8. The importance of the Cu-Fe relation in the <20-um, nonmagnetic sediments is illustrated by the facts that in all the amorphous Fe-oxide extractants, the molar ratios of Cu to Fe was greater than that of the other molar ratios of trace metal to Fe, and that Cu concentration related directly to Fe concentration. 9. In the carbonate extractants of sample LT NC-SS, the molar ratios of Cu to Ca, Cu to Mn, Fe to Ca, and Fe to Mn were higher than in the carbonate extractants of the B samples. Upstream in the well-cemented crust (sample SR B-CC) and about 5.1 km downstream in the material settling out behind a boulder (sample LT-NC-SS), Cu is concentrated in both the Mn oxides and the amorphous Fe oxides and was more concentrated in these extractants than the other trace metals. Cu concentrations in the amorphous Fe-oxide extractant were greater than in the other extractants both upstream in the loosely-cemented crust (sample SR B-LC) and in all downstream samples. These facts indicate that although Cu is concentrated in the upstream reach in both the Mn oxides and amorphous Fe oxides of the well-cemented crust, Cu is concentrated in primarily the amorphous Fe oxides of the loosely cemented crust and is transported downstream in Fe-rich carbonates and amorphous Fe oxides. 10. The relations of Cu to Fe may be attributed to the greater percentage of highest energy-binding sites in goethite than in 5-MnO2 (Carts and Langmuir, 1986) and to the many possible Fe-Cu oxides resulting from redox reactions of Fe2+ and Fe3+ with Cu+ and Cu2+. XRD suggested goethite was present in sample LT-NC-SS. Amorphous Fe oxide has been shown to be the principal sorbent that controls the distribution of Cu, Ni, and Co in the alluvium underlying the intermittent reach of Pinal Creek (Stollenwerk, 1990, 1991). Amorphous Fe oxide, if suspended in the ground water, Table 21. Some potential constituents of microdomains of manganese deposits Spinels

Other oxides Hausmannite (Mr Hetaerolite (ZnMn2O4) Magnetite (Fe3O4) Manganite (yMnOOH) Groutite (aMnOOH) Goethite (aFeOOH) Pyrolusite Hematite (Fe2O3) Cadmium manganese oxide (Cd2Mn Copper manganese oxide Tenorite (CuO) 7-A phyllomanganates Carbonates Other mineral forms Na birnessite Rancieite Takanelite Carbonates with varying ratios of Ca, Mn, and Mg such as kutnahorite Otavite (CdCO3) Ferrihydrite

Mixed minerals such as Ni asbolane (interlayers of MnO2 and 96 Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

would continue to transport these trace metals when the ground water becomes part of the surface flow. Fe and Mn oxides in suspended sediments or in coatings of mobile streambed sediments are transport media for trace metals in the perennial reach of Final Creek. Trace metals, especially Cu, have a preference for amorphous Fe oxide over Mn oxides. Mn oxides, however, make a significant contribution to the distribution of trace metals, especially Ni. Mn coatings and crusts concentrate and immobilize the trace metals in the stream bottom and stream banks. Mn deposits consist primarily of particles <63 urn in diameter. When crusts are broken up by turbulence due to increased streamflow or when the cementing material (carbonates-?) is removed by chemical action, these fine-grained Mn-oxide particulates and associated trace metals are readily transported downstream. As of 1990, intermittent sediment transport was a major vehicle for trace-metal conveyance out of the Final Creek Basin (Eychaner, 1991c). Eychaner (1991c) states that "A median annual flood of 35 km3/second could transport 10 to 50 megagrams of Mn in a single day." SUMMARY AND CONCLUSIONS Amorphous Fe oxides have been shown to be a major factor in trace-metal distribution in ground water and surface water of Final Creek Basin. Mn-rich strata in the alluvium beneath the intermittent reach of Final Creek and Mn-rich sediment in the stream bottom along the perennial reach of the creek have been shown to concentrate and immobilize trace metals from the metal-rich surface water. A carbonate resembling the mineral kutnahorite may be present in the Final Creek alluvium and streambed sediments. Increasing the pH of a ground-water sample in the laboratory precipitated hausmannite and a that resembled kutnahorite. The carbonate fraction of alluvial material from a nearby well site had a Ca/(Mn,Mg) ratio similar to kutnahorite. The alluvial material was obtained from a depth that was slightly higher than the depth of the source of the ground-water sample. The composition of the from particles (45-63 urn) in the streambed crusts sampled in 1990 at Inspiration Dam also did not differ significantly from that of kutnahorite. Increasing the pH of oxygenated, low CO2 surface water initially precipitated Mn oxide as hausmannite, which subsequently altered to manganite. This precipitation sequence was found in laboratory solutions containing only a single salt (for ionic-strength control) and Mn or Mn and one other metal (as the reacting metal ions). These oxides can further oxidize to a 7 A-phyllomanganate. The Mn oxides reported in the coatings of rocks and pebbles in contact with the streamflow at the Pringle diversion represent a mixture of all three oxides. Black stream sediments are composed of Mn oxides, (Ca,Mn) carbonates, amorphous Fe oxides, silicates, and a notable fraction of magnetic material (primarily magnetite with some hematite). Size distribution and relative amounts of each type of mineral in the less than 250-nm fraction of the sediments varies with the sediment sample. Magnetic material is most concentrated in the larger particles, and the Mn oxides are concentrated in the <63-um particles. Mn oxides can comprise as much as 70 percent or more of these smaller particles. Molar ratio of Fe to Mn was high in the large particles of the sediments and low in the coatings of the large particles. Molar ratio decreased with particle size and decreased as the sediments changed from coatings and loose sediments to cemented crusts. Molar ratio of Fe to Mn in the Mn oxides decreased as the Mn-oxidation number increased. Development of more highly oxidized Mn species is shown by an increase in the Mn oxidation number as the sediments change from settling sediment to loose stream-bottom material and then to cemented crusts. Mn-oxide composition of the black, Mn-rich sediments varies with the degree of oxidation. In the crusts, the composition is mostly 7-A phyllomanganates, such as Na birnessite or more likely a rancieite-takanelite mixture. A Mn oxidation number as high as 3.78 has been measured for these 7-A phyllomanganates. Mn oxides may form by a complex reaction system that includes incorporation of Mn in carbonates by precipitation, substitution of Mn2+ for Ca in calcite, and Mn coprecipitation with Ca. Whether part of the surface structure or present as a surface complex bound to hydrous oxides, Mn2+ at particulate surfaces initially oxidizes primarily to hausmannite and then disproportionate to form more oxidized species at temperatures near 25°C. Where Fe oxides are precipitating on carbonate surfaces, the oxidation rate would be increased if the Mn-Fe interaction occurred at the higher pH interface between Fe-oxide and carbonate particles. Manganese and Iron Oxide Deposis and Trace-Metal Associations in Stream Sediments, Final Creek Basin, Arizona 97

Comparison of molar ratios of trace metals to Fe and Mn to Fe for duplicate samples suggested microdomains of differing composition. Microdomains are consistent with literature findings and with previous laboratory results describing some possible components of these microdomains. The microdomains may be mixtures of the Mn oxides, such as hausmannite, manganite, and 7-A phyllomanganates (Na birnessite, rancieite, and takanelite). Mixed trace metal and Mn oxides, such as hetaerolite, jacobsite, cadmium manganese oxide (Cd2Mn3O8), and copper manganese oxide (Cu2Mn3O8) also are included. Coprecipitates, such as otavite (CdCo3), tenorite (CuO), and nickel hydroxides as well as mixed minerals, such as Ni-asbolane are other possible microdomain constituents. A much higher trace-metal concentration existed in the Fe- and Mn-oxide extractants than in the carbonate extractants. Even though there is a trace-metal affinity for Fe, the Mn-oxide extractant contained the highest concentration of trace metals per weight of sediment and probably was because the Mn oxides were the main constituents of the black sediments. Molar ratios of trace metal to Mn oxide and trace metal to Fe oxide were much higher in the <20-fim sediments than in the 150 250-fim magnetic particles. Extraction data indicate that Ni may be incorporated into Mn oxide by initially concentrating on the oxide as an exchangeable cation or by oxidation of mixed carbonates that contain Mn and Ni. The correlation of Zn and Ni concentration with the Mn concentration may be explained by the formation of a spinel structure containing Zn and by coprecipitation of Ni hydroxide with Mn oxides to form the mixed minerals described above. The Ni content of the sediments decreased in concentration as the crusts formed and aged. Ni is retained and transported downstream in the Mn-oxide portion of the sediments and crusts. Although Cu is concentrated in the upstream reach in both the Mn oxides and amorphous Fe oxides of well-cemented crust, Cu is concentrated in the amorphous Fe oxides of the loosely-cemented crust and is transported downstream in Fe-rich carbonates and amorphous Fe oxides. Extraction data suggest a Cu affinity to Fe that may be attributed to the greater percentage of highest energy of binding sites in goethite compared with 5-MnO2 and to the many possible Fe-Cu oxides resulting from Fe-Cu redox reactions. SELECTED REFERENCES Aggett, J., and O'Brian, G.A., 1985, Detailed model for the mobility of arsenic in lacustrine sediments based on measurements in Lake Ohakuri: Environmental Science and Technology, v. 19, no. 3, p. 231-238. Allison, J.D., Brown, D.S., and Novo-Gradic, K.J., 1991, MINTEQA2/PRODEFA2, a geochemical assessment model for environmental systems Version 3.0 user's manual: Athens, Georgia, U.S. Environmental Protection Agency Report EPA/600/3-91/021, 106 p. Anderson, T.W., Freethey, G.W., and Tucci, Patrick, 1992, Geohydrology and water resources of alluvial basins in south-central Arizona and parts of adjacent States: U.S. Geological Survey Professional Paper 1406-B, 67 p. Arizona Bureau of Mines, 1969, Geology and mineral resources of Arizona: Arizona Bureau of Mines Bulletin 180,467 p. [reprinted 1989] Arthur, G.V., 1986, NPDES compliance monitoring report, Inspiration operations, NPDES Permit Number AZ0020508, May 1, 1986: U.S. Environmental Protection Agency, Water Management Division, Region 9, v.p. 1987a, NPDES sampling, documentation, and results report, Inspiration operations, Identification Number AZD008398521, January 7, 1987: U.S. Environmental Protection Agency, Water Management Division, Region 9, v.p. -1987b, NPDES compliance monitoring report, Inspiration operations, NPDES Permit Number AZ0020508, April 17, 1987: U.S. Environmental Protection Agency, Water Management Division, Region 9, v.p. Asghar, M., and Kanehiro, Y., 1981, The fate of applied iron and manganese in an oxisol and a ultisol from Hawaii: Soil Science, v. 131, no. 1, p. 53 55. Beckett, P.G., 1917, The water problem at the Old Dominion Mine: American Institute of Mining Engineers, Transactions, v. 55, p. 35-66. Biswas, A.K., and Davenport, W.G., 1980, Extractive metallurgy of copper, 2d ed.: Oxford, England, Pergamon Press, 438 p. Brown, J.G., 1990, Chemical, geologic, and hydrologic data from the study of acidic contamination in the Miami Wash-Pinal Creek area, Arizona, water years 1988-89: U.S. Geological Survey Open-File Report 90-395,75 p. Buddemeier, R.W., and Hunt, J.R., 1988, Transport of colloidal contaminants in ground water Radionuclide migration at the Nevada test site: Applied Geochemistry, v. 3, no. 5, p. 535-548. Burch, H.K., 1916, Mine and mill plant of the Inspiration Consolidated Copper Company: American Institute of Mining Engineers, Transactions, v. 55, p. 707-740. 98 Hydrology and Geochemistry of Aquifer and Stream Contamination, Pinal Creek Basin near Globe, Arizona

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