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. Author manuscript; available in PMC: 2015 Sep 15.
Published in final edited form as: Geochim Cosmochim Acta. 2014 Sep 15;141:240–257. doi: 10.1016/j.gca.2014.05.030

Surficial weathering of iron sulfide mine tailings under semi-arid climate

Sarah M Hayes 1,, Robert A Root 1, Nicolas Perdrial 1, Raina Maier 1, Jon Chorover 1,*
PMCID: PMC4151187  NIHMSID: NIHMS601936  PMID: 25197102

Abstract

Mine wastes introduce anthropogenic weathering profiles to the critical zone that often remain unvegetated for decades after mining cessation. As such, they are vulnerable to wind and water dispersion of particulate matter to adjacent ecosystems and residential communities. In sulfide-rich ore tailings, propagation to depth of the oxidative weathering front controls the depth-variation in speciation of major and trace elements. Despite the prevalence of surficial mine waste deposits in arid regions of the globe, few prior studies have been conducted to resolve the near-surface profile of sulfide ore tailings weathered under semi-arid climate. We investigated relations between gossan oxidative reaction-front propagation and the molecular speciation of iron and sulfur in tailings subjected to weathering under semi-arid climate at an EPA Superfund Site in semi-arid central Arizona (USA). Here we report a multi-method data set combining wet chemical and synchrotron-based X-ray diffraction (XRD) and X-ray absorption near-edge spectroscopy (XANES) methods to resolve the tight coupling of iron (Fe) and sulfur (S) geochemical changes in the top 2 m of tailings. Despite nearly invariant Fe and S concentration with depth (130–140 and 100–120 g kg−1, respectively), a sharp redox gradient and distinct morphological change was observed within the top 0.5 m, associated with a progressive oxidative alteration of ferrous sulfides to (oxyhydr)oxides and (hydroxy)sulfates. Transformation is nearly complete in surficial samples. Trends in molecular-scale alteration were co-located with a decrease in pH from 7.3 to 2.3, and shifts in Fe and S lability as measured via chemical extraction. Initial weathering products, ferrihydrite and gypsum, transform to schwertmannite, then jarosite-group minerals with an accompanying decrease in pH. Interestingly, thermodynamically stable phases such as goethite and hematite were not detected in any samples, but ferrihydrite was observed even in the lowest pH samples, indicating its metastable persistence in these semiarid tailings. The resulting sharp geochemical speciation gradients in close proximity to the tailings surface have important implications for plant colonization, as well as mobility and bioavailability of co-associated toxic metal(loid)s.

Keywords: sulfur XANES, iron XANES, XAS, QXRD, semi-arid mine tailings

1. INTRODUCTION

Mine tailings, the fine-grained, uneconomical byproducts of ore processing (crushing, grinding, milling, and chemical leaching; Lottermoser, 2011) comprise the world’s largest industrial waste stream (Hudson-Edwards et al., 2011). Mine waste deposition at the Earth’s surface represents a massive annual production of fresh parent material for incipient soil formation whose rate is of similar magnitude to the naturally-occurring fresh rock reveal rate and the top soil loss rate (ca. 21 Gt/yr; Wilkinson and McElroy, 2007; Lottermosser, 2010).

1.1. Weathering of sulfide tailings

Tailings weathering begins with the oxidative dissolution of pyrite-rich wastes and the release of sulfate (SO42−), metals (Fe2+), and protons (H+) to solution (Nordstrom and Alpers, 1999). Production of Fe2+ and H+ further promotes surface reaction and dissolution of pyrite and gangue (e.g., carbonate and silicate) minerals, and affects the geochemical (meta)stability of potential secondary phases (Blowes and Jambor, 1990; Blowes et al., 2003). Secondary phases may initially include Fe(II) and Fe(II/III) sulfates such as melanterite [FeSO4], copiapite [FeIIFe4III(SO4)6(OH)2•22H2O], and coquimbite [Fe2SO4)3], followed by ferric and mixed valent (hydr)oxides such as ferrihydrite [5Fe2O3•9H2O], goethite [α-FeO(OH)], magnetite [Fe3O4], green rust [Fe4II Fe2III (OH)12SO4 ·nH2O], schwertmannite [Fe8O8(OH)6(SO4) •10H2O], and jarosite [KFe3(SO4)2(OH)6], listed in order of increasing stability with decreasing pH (Bigham et al., 1996; Bigham and Nordstrom, 2000; Jambor et al., 2000). Several studies have examined the gossan oxidative reaction front of sulfide tailings as a function of depth (Bigham et al., 1990; Blowes and Jambor, 1990; Dold and Fontboté, 2001; Dill et al., 2002; Jamieson et al., 2005; Romero et al., 2007; Schuwirth et al., 2007; Courtin-Nomade et al., 2009; Hayes et al., 2009; Jamieson, 2011; Hayes et al., 2012). In these studies, examination of the weathering profile as a function of depth lends insight into the sequence and stability of secondary phases in the weathering series.

Few studies, however, have examined tailings weathering profiles in arid and semi-arid environments. Low water through-flux and episodic wet-dry cycles in arid environments are expected to promote the persistence of (i) acidity and sulfate that would be leached with acid mine drainage (AMD) at higher pore volume hydrologic flux, and (ii) near-surface accumulation of minerals that would be soluble at higher relative humidity (Hudson-Edwards et al., 1999). The few studies that have specifically examined mine tailings in (semi-)arid regions suggest that the weathering trajectory and (meta)stability of secondary species in these environments varies from the better studied humid environments (Wray, 1998; Hudson-Edwards et al., 1999; Dold and Fontboté, 2001; Navarro et al., 2004; Hayes et al., 2009).

1.2 Quantification of solid-phase speciation and element lability across the weathering front

X-ray absorption near-edge structure (XANES) spectroscopy probes the bound-state electronic transitions of the absorbing atom and has been widely applied to quantify the oxidation state and coordination chemistry for both Fe and S in porous media (Myneni, 2002; Wetherall et al., 2008; Couture et al., 2010). Sulfur XANES (or S NEXAFS) enables quantification of sulfide and sulfate components in a mixture because the absorption peaks are spaced by ~12 eV across the −2 to +6 oxidation states (Fleet, 2005). Several excellent reviews on the application of S XANES to mineralogy and geochemistry represent the diversity of spectral structures deriving from distinct reference materials, many of which are directly relevant to metalliferous mine tailings (Myneni, 2000; Fleet, 2005). Sulfur XANES has been used to examine the S speciation of organic moieties in soils (e.g., Morra et al., 1997; Prietzel et al., 2003; Prietzel et al., 2009), sulfate species in aerosols (Takahashi et al., 2006), and S oxidation state in sediments (Neuhausler et al., 2003; Bostick et al., 2005), but it has not been extensively applied to study S speciation in mine tailings (Solis-Dominguez et al., 2012).

The first-derivative Fe XANES spectra of iron bearing phases have sufficiently unique spectral structure to differentiate between Fe containing mineral groups, e.g. phyllosilicates, carbonates, sulfides, oxides, sulfates, etc. (Waychunas et al., 1983; Combes et al., 1989; Zhao et al., 1994; Manceau and Gates, 1997; O’Day et al., 2004). This information can be used to identify Fe species and monitor temporal and spatial redox changes in field and laboratory samples (Bajt et al., 1994; Zaw et al., 2002; Schmid et al., 2003; O’Day et al., 2004; Wilke et al., 2005; Root et al., 2007; Fittschen et al., 2008; Karlsson et al., 2008; Marcus et al., 2008; Mitsunobu et al., 2008; Root et al., 2009).

Selective sequential extraction (SSE) of solids enables the quantification of lability of solid-phase bound elements across a range of aqueous geochemical conditions (Williams et al., 1967; Tessier et al., 1979; Pickering, 1981; Dold and Fontboté, 2001, 2002; Dold, 2003b; Hayes et al., 2009). Although clearly operational (technique-dependent), results from SSEs are also quantitative and reproducible, with power to assess the changes in solid phase aqueous reactivity, particularly when applied across a well-characterized gradient in geochemistry, such as a reaction front. SSE is best utilized in conjunction with independent confirmation of solid phase speciation by, e.g., x-ray absorption spectroscopy or x-ray diffraction (Ruttenburg, 1992; La Force and Fendorf, 2000; Dold and Fontboté, 2002; Caraballo et al., 2009; Hayes et al., 2009). Indeed, coupling SSEs with complementary sample analysis methods is beneficial because of known potential artifacts including variable dissolution of both target and non-target phases, unintended precipitation of secondary phases, etc. (Kheboian and Bauer, 1987; Hayes et al., 2009).

The principal objective of the present study was to examine mineral transformation and speciation of major redox active elements, Fe and S, across a gossan-type oxidative weathering front of sulfide-ore derived mine tailings in a semi-arid environment. Tailings were collected from a U.S. Environmental Protection Agency (EPA) Superfund site at the Iron King Mine and Humboldt Smelter Site (IKMHSS). The site was listed with the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) in 2008 due to elevated levels of Pb and As (3.1 and 2.2 g kg−1, respectively in surficial tailings) and close proximity to residential communities. Geochemical interrogation of the near surface (top two meters) of the tailings was conducted with the goals of improving our basic understanding of oxidative sulfide weathering under semi-arid climate, facilitating assessment of potential health risks associated with such weathering, and providing a basis for remediation and prevention of off-site dispersion of metal-laden particles (Solis-Dominguez et al., 2012; Ramirez et al., 2013a; Ramirez et al., 2013b). Samples in this study were examined through the conjunctive use of wet chemical extractions and synchrotron-based mineralogical (XRD) and molecular-scale (Fe and S XANES) methods. Elucidation of dominant redox-active element behavior is key in addressing contaminant metal(loid) behavior, the subject of a current companion study.

2. SITE DESCRIPTION

Between 1906 and 1915, the IKMHSS (Dewey-Humboldt, Arizona, USA) was subject to mining of oxide ores of Au, Ag, and Cu (Creasey, 1952). Extraction began again during World War I to exploit the underlying massive sulfide deposit for base metals including Cu, Zn, and Pb and smaller amounts of precious metals Au and Ag (Fig. 1). During peak operation in 1950, daily ore processing was approximately 1,000 metric tons (Creasey, 1952; Myrick, 2001; Rayle et al., 2008). The principal mineral sources for Cu, Zn, and Pb were chalcopyrite (CuFeS2), sphalerite (ZnS), and galena (PbS). The massive sulfide deposit was part of a mineral belt in steeply plunging echelon fine-grained veins of sulfides held together by a gangue of ankerite, quartz, sericite, and residual chlorite in the pre-cambrian metamorphosed andesitic tuffs that stretch tens of kilometers along the Bradshaw Mountain range in central AZ (USA; Creasey, 1952). From 1906–1947, Iron King produced 16,800 t Pb, 52,200 t Zn, 1800 t Cu, 105 t Ag, and 3390 kg Au from ca. 1 million metric tons of ore. Until mine closure in 1969, wastes were hydraulically sluiced, without compaction, into a small topographic depression covering approximately 620,000 m2 and piled to maximum of about 30 m thick, based on historical topographic maps (Fig. 1). It is estimated that four million cubic meters of tailings remain at the site.

Figure 1.

Figure 1

Map and cross-section of Iron King Superfund site (Dewy-Humbolt, AZ). A) Aerial view of tailings pile (from Google Earth), B) pit to 55 cm, C) cores to 185 cm, D) site map and E) cross section of waste pile containing ca. 3.9 Mm3 of tailings.

During the half century since tailings deposition, mean annual precipitation and potential evapotranspiration at the 1400 m elevation IKMHSS site were ca. 370 mm and 1470 mm, respectively. The IKMHSS tailings contain metal(loid) contaminants (As, Pb, Zn) above remediation limits and, meanwhile, tailings are subject to wind and water erosion into adjacent landscape locations, thereby increasing the environmental health risk to neighboring communities and ecosystems (Csavina et al., 2012; Ramierz et al., 2013a; Ramierz et al., 2013b).

3. MATERIALS AND METHODS

3.1 Field sampling, sample preservation, and reference material collection

The IKMHSS tailings weathering profile was collected by excavating a pit to ca. 1 m to expose the redox boundary between oxic and sulfide-stable tailings. Samples were collected and composited across the pit faces for discrete depth intervals on the basis of morphological transitions (color, consistency, Fig 1B). A core extending to 2 m depth was extracted adjacent to the excavated pit to acquire deeper tailings (Fig. 1C). Samples were double bagged in sealed low O2 diffusion plastic bags and transported to the laboratory on dry ice (−78°C). Pit and core samples were sub-sectioned in an anaerobic chamber (Coy, MI) to obtain three representative splits from each depth increment. Splits were (i) analyzed for moisture content and particle size; (ii) sieved (<2 mm), lyophilized at −80°C and 130 mbar prior to chemical analysis; or (iii) kept field moist, frozen, and in darkness prior to sieving and grinding in preparation for XRD and XAS analysis. Petrographic analysis and X-ray fluorescence maps were performed as described in the Electronic Annex (EA text, Fig. 1). Isolated grains, termed “as-collected,” were visually distinguished and separated based on color and texture (Tan, Red, and Blue; Fig. 2).

Figure 2.

Figure 2

(a) Chemical depletion/enrichment plot showing Ti normalized S (open) and Fe (closed) mass concentrations in the weathering profile relative to parent material taken as 180 cm sample (see Eq. 1), the dashed line and shaded regions represent the redox boundary. (b) Sequential extraction results for iron as a function of depth with error bars representing standard deviation of triplicate measurements (see online version for color coding).

Selected reference materials (ankerite, chlorite, gypsum, plumbojarosite, pyrite, and melanterite) were collected from mineral source distributors, whereas others (schwertmannite, 2-line ferrihydrite) were synthesized in accordance with published methods (Bigham et al., 1990; Regenspurg and Peiffer, 2005; Schwertmann and Cornell, 2000) (see Table EA-1 for details). All reagents used were ACS grade or better. The identities of all references were confirmed by XRD.

3.2 Physical Analyses

Wet and dry sediment color was determined using a Munsell soil color chart immediately after collection and also after preservation by freeze-drying. Particle size distributions for the < 2 mm size fractions were determined using a laser diffractometer (Beckman Coulter LS 13 320) in the University of Arizona Center for Environmental Physics and Mineralogy (Tucson, AZ) and quantified as clay (< 2 μm), silt (2–50 μm) and sand (50–2000 μm). Gravimetric water content was determined by weighing the tailings before and after drying at 105°C for > 24 h.

3.3 Chemical Analyses

3.3.1 pH and electrical conductivity

Tailings pH was determined for replicate standardized slurries following reaction of 5.0 g of field moist tailings with 5.0 mL distilled deionized (DDI, 18.3 MΩ cm) water at 25°C for 1 h in an end-over-end rotator (McLean, 1982). After centrifugation and removal of supernatant, the pH of the supernatant was measured using a glass Ag-Ag electrode (Orion, epoxy semi-micro electrode) with two-point calibration using standard buffer solutions and calibration checks at pH 4, 7 and 10.

3.3.2 Total metals

All tailings were analyzed for total elemental composition by inductively coupled plasma- optical emission spectroscopy (ICP-OES) and inductively coupled plasma- mass spectrometry (ICP-MS) following digestion or fusion. Copper, Zn, As, and Pb were measured by ICP-OES following total digestion (HF, HNO3, HClO4, HCl), and all other elements reported by ICP-MS, following fusion with LiBO2 and Li2B4O7 (Activation Labs, Ontario CA). Certified reference materials were digested and analyzed along with the tailings samples with an acceptance range of ± 10% of the certified value to verify precision and accuracy in sample preparation and analysis.

3.3.3 Selective Sequential Extraction (SSE)

A composite of the top 25 cm of tailings (material being used in remedial plant growth trials; Solis-Dominguez et al., 2012), as well as samples generated from discrete depth increments were subjected to a replicated six step SSE to quantify extractable solid phases, targeting soluble salts, adsorbed species, and poorly-crystalline as well as crystalline sulfate and oxide minerals (see Table 1 and detailed description in EA, modified after Dold (2003b and Neaman et al. (2004)). After the reaction time, suspensions were centrifuged and decanted and the supernatant was filtered (0.45 μm nylon membrane filters) and acidified for preservation before analysis by ICP-MS. Between extraction steps, sediments were washed (washed with DDI water steps 1–4, and with HAc from 5–6), wash solution was analyzed for elemental composition with ICP-MS, and the concentration added to the relevant step. Averages are reported from extractions run in triplicate and compared to total concentrations from the ICP-MS/OES total digestion of a split sample as described above. An additional replicate was sacrificed and preserved after each step in the SSE for analysis by XRD and XAS.

Table 1.

Selective sequential extraction steps for composite mine tailings (0–25 cm) used in plant growth trials.

Extractant Conc (M) Solid: solution time temp. Elements releaseda Target phase Ref.
1 DI H2O
N2 sparged 18.2 MΩ cm
-- 1:30 1 h, 25°C Mg, Al, Ca, Fe, S Soluble salts, e.g. efflorescent sulfate salts (Dold, 2003b)
2 NH4NO3
Ammonium nitrate
pH 7
1.0 1:30 2 h, 25°C Na, Ca, S Mobile, easily exchangeable, bioaccessibleb (Merkel, 1996)
3 AAc
Ammonium acetate
pH 4.5
0.2 1:30 2 h, 25°C Fe Acid soluble carbonates and non-specifically sorbed (Dold, 2003b)
4 NaH2PO4
Sodium phosphate
pH 5.0
1.0 1:40 24 h, 25°C Ti, Fe Specifically sorbed, e.g. inner-sphere As complexed on ferric (hyr)oxide surface sites (Keon et al., 2001)
5 AAO
Ammonium oxalate
pH 3, dark
0.2 1:40 2 h, 25°C Al, Fe Reducible poorly crystalline Fe, Al and Mn oxidesc (Jackson et al., 1986; Keon et al., 2001; Dold, 2003b)
6 CBD
Citrate-bicarbonate- dithionite, pH 3, dark
* 1:40 2 h, 80°C Al, K, Fe Reducible crystalline Fe, Al and Mn oxides, e.g. including goethite and jarosite d (Jackson et al., 1986)
a

More than 10% of total released; Detailed in Table 3.

b

Operationally defined as plant available fraction in (Merkel, 1996).

c

e.g. Schwertmannite and ferrihydrite, jarosite may partially dissolve.

d

e.g. jarosite and goethite; the dissolution of plumbo-and other substituted jarosite may not be complete with this sequence (Dold, 2003a).

3.4 Spectroscopic Analyses

3.4.1. X-ray Diffraction

For X-ray diffraction analysis, approximately 0.05 g of ground and homogenized sediments were packed between two layers of matte finish tape (Scotch Magic) to obtain a uniform thin layer sample. XRD data were collected at the Stanford Synchrotron Radiation Lightsource (SSRL) on beam line 11-3 operating at ~12735 eV (λ = 0.976 Å) in transmission mode with a focused spot size of 150 μm, using a 345 mm radius Mar detector image plate with a resolution of 100 μm2 pixels, and calibrated to a LaB6 standard. Three scans were collected and summed for each sample. Laue pattern images were integrated into diffractograms using the Area Diffraction Machine software (Lande et al., 2007). The summed patterns were corrected for residual quartz saturation, systematic displacement and converted to conventional Cu Kα wavelength. The background was manually subtracted and the contributions of amorphous phase(s) to the diffractograms were not included in the analysis. Quantitative phase analysis was performed using the Rietveld module included in the X’Pert HighScore Plus software (PANalytical) as described previously (Perdrial et al., 2011). All structural parameters for reference minerals were obtained from the American Mineralogist Crystal Structure Database (AMCSD) and the diffractograms were from the International Centre for Diffraction Data Powder Diffraction File (ICDD PDF-2) database (Downs and Hall-Wallace, 2003; ICDD, 2005).

3.4.2 X-ray absorption spectroscopy

Sulfur XANES

Sulfur XANES spectra were collected on beam lines 6-2 and 4-3 at the Stanford Synchrotron Radiation Lightsource (SSRL). All S XANES measurements were conducted within a helium atmosphere using an electron yield (EY) detector (to assess potential self-absorption and surface oxidation) or fluorescence detector (better S:N than EY), using a passivated implanted planar silicon (PIPS) detector. Energy calibration was performed between each set of sample scans using the maximum of the first peak of sodium thiosulfate, assigned to 2472.0 eV. Samples were prepared in a glove box (Coy, 95% N2, 5%H2 gas mix) by applying a thin layer (ca. 5 μm) of sample on sulfur-free Mylar tape with a thin polypropylene cover to reduce oxidation. Samples were transported to the beam line under anoxic conditions and placed directly into the He environment at room temperature. Scans were collected over an energy range of 2445 to 2575 eV.

All scans were processed (dead-time corrected, calibrated, and averaged) using the SIXPACK software package (Webb, 2005). Data were normalized and fit using linear combinations of reference minerals collected under similar conditions from 2465 to 2515 eV. The number of reference spectra in the final fits was determined based on PCA analysis indicating that three components were adequate to reconstruct the dataset (not shown). Reference spectra for final fits were selected from a library of ca. 30 references (Table EA-1, Fig. EA-3) on the basis of visual inspection and statistical comparisons of iterative fitting of different combinations of reference spectra. Plumbojarosite (representing jarosite-group minerals), gypsum, and pyrite reference spectra consistently yielded the best fit statistics and their presence in the tailings was confirmed by other methods including XRD and Fe XANES. Errors are reported as χ2, a statistical indicator of fit goodness calculated from the sum of squared error divided by the degrees of freedom in the fit.

Iron XANES

Iron K-edge XANES data were collected on SSRL beam lines 11-2 and 4-1 with beam energy of 300 mA, a 30-element Ge array detector on BL 11-2 and a 13-element Ge array detector on BL 4-1, and a Si (220) phi= 90 double-crystal monochromator with 2 mm vertical beam slits. Energy was calibrated with an Fe metal foil, with the energy of the inflection of the first-edge assigned to be 7112 eV. To limit beam damage, all data were recorded at 7–15 K using an Oxford LHe cryostat. Samples were ground and homogenized in an anaerobic chamber (Coy, MI), mounted field moist in Teflon plates, sealed with Kapton tape, transferred to the beam line under anoxic conditions, and placed in the cryostat He atmosphere. XAS data were acquired between 6860 and 7810 eV (k=13.5) using 0.35 eV energy steps in the XANES region. Reference samples were collected in fluorescence and transmission mode using the same procedures as for the tailings samples. Data collection and analysis of Fe reference compounds are described in detail in O’Day et al. (2004).

All scans were energy calibrated, dead time corrected (fluorescence measurements only), and averaged using the SIXPACK software package (Webb, 2005). Spectra were then background subtracted and normalized to the edge-step with EXAFSPAK software package (George and Pickering, 2000). The first derivative of normalized Fe XANES spectra were fit using linear combinations in the DATIT module of EXAFSPAK, (fit range 7105–7150 eV). Spectra were iteratively fit by trial-and-error with 1 to 4 components from a reference library of ~30 spectra (model spectra in Fig. EA-4, Table EA-1). Fits were optimized by allowing small energy shifts (<1.0 eV) while fitting the component describing most of the spectral features and minimizing energy shifts in subsequent fit component parameters. Goodness-of-fit is reported as a 99% confidence limit (three times the estimated standard deviation) derived from the variance-covariance matrix in the DATFIT software (Pickering, 2001). The confidence limit is a measure of the precision of a varied parameter but not necessarily the accuracy of the fit, in that it does not account for appropriateness of reference spectra, data quality, or differences in data collection (Pickering, 2001). Accuracy of linear combination analysis was previously investigated by O’Day et al. (2004), where it was shown that fits were within ±5% of the actual mole percentages using the edge region 7100 – 7150 eV; with a detection limit for minor constituents of ca. 5%. Additional Fe-XANES analysis of SSE residuals is described in Electronic Annex (EA text and Fig. EA-5).

4. RESULTS

4.1 Physical and chemical characteristics

The deepest tailings sample collected (sample G, 180 cm) was apparently similar to the material initially deposited at the site; it did not exhibit visual evidence of oxidative transformation (Table 2, Fig. EA-1) and is characterized by a dark gray color and circum-neutral pH (pH=7.3). All other tailings exhibit visual evidence of progressive oxidative weathering, including lower pH (6.3 to 2.3) (Table 2). The most notable indicator of changing redox conditions is the dramatic color change from dark yellowish brown to greenish gray between samples D and E. The oxidized surface of the tailings profile (top ca. 25 cm), i.e., the gossan zone, had an orange color, acidic pH (pH=2.3), and higher clay content relative the lower portion (> ca. 25 cm) of the profile (Table 2).

Table 2.

Near surface samples from Iron King mine tailings showing the variation in physical and chemical properties by depth.

Samplea depthb (cm) pHc Sandd (%) Silte (%) Clayf (%) Colorg (dry) Colorg (wet) Feh (%) Sh (%) Majori Components Minorj Components % water contentk
A 0–5 2.3 14.8 45.7 39.5 2.5Y 7/4 grayish yellow 2.5Y 6/8 olive yellow 12.9 9.7 qtz, gyp, jar, fh plag, chl, pyt 19
B 5–15 2.3 38.4 40.4 21.2 10YR 6/6 brownish yellow 10YR 4/6 dark yellowish brown 12.7 10.4 qtz, gyp, fh, jar plag, chl, pyt 17
C 15–25 3.7 31.1 49.2 19.7 7.5YR 5/6 strong brown 7.5YR 3/4 dark brown 14.2 11.5 qtz, gyp, pyt, ill plag, chl, fh, schw 30
D 25–35 5.5 40.4 47.9 11.6 10YR 4/6 dark yellowish brown 10YR 3/4 dark yellowish brown 12.3 13.3 qtz, gyp, pyt plag, chl, ank, fh 18
E 35–38 6.3 5.05 75.5 19.4 10Y 5/2 greenish gray 5GY 3/2 very dark grayish green 13.8 10.6 qtz, gyp, ill, pyt plag, chl, fh, sid, ank 37
F 38–54 6.0 28.2 58.4 13.4 5GY 5/2 greenish gray 10Y 3/2 very dark greenish gray 13.6 12.4 qtz, pyt plag, chl, ill, gyp, sid, ank 7.0
G 180–183 7.3 11.2 67.0 21.8 5GY 5/2 grayish green 5GY 3/2 very dark grayish green 12.7 14.1 qtz, pyt chl, ank, cal 24
a

Sample is the pit or core depth label referred to in the text.

b

Depth is the interval below the surface;

c

pH was measured on wet paste. The size fractions are defined as

d

sand = 50 μm – 2 mm,

e

silt = 2 μm – 50 μm

f

clay <2μm.

g

Color is based on Munsell color chart.

h

Fe and S % are the wt % of each in the bulk tailings at each depth sampled.

i

Major components are those that make up >10% by XRD Rietveld fits,

j

Minor components determined by XRD and XANES. Phases present in order of estimated abundance (secondary minerals shown in italics): qtz=quartz, gyp=gypsum, jar=jarosite, fh=ferrihydrite, plag = plagioclase, chl=chlorite, pyt=pyrite, ill=illite, ank=ankerite, schw=schwertmannite, formulae given in Table 7.

k

Percent moisture was determined gravimetrically as (mwet − mdry)/mdry × 100.

The mass concentrations of major elements Fe and S exhibit small variation with depth (Table 2), suggesting that mineralogical changes may occur locally in the profile with little translocation of Fe or S to depth or off site. However, to better constrain chemical depletion or enrichment profiles for Fe and S across the reaction front, elemental analyses were normalized to Ti, which was expected to be relatively immobile in the redox transition zone. Enrichment (+τ) or depletion (−τ) of S and Fe are plotted as a function of depth relative to the “parent material” (represented here by the 180 cm sample) through the reaction front (top 60 cm) of the tailings profile using Eq. 1 (Brimhall and Dietrich, 1987):

τTi,j=Cj,wCj,p×CTi,pCTi,w-1 [Eq. 1]

where τTi,j represents the chemical depletion (if negative) or enrichment (if positive) of element j (Fe or S) with respect to Ti in the weathering zone (w) as measured relative to parent material (p), and C represents solid phase mass concentration. The τ values for S and Fe show similar trends with moderate depletion in the oxic gossan zone, −0.35 for S and −0.31 for Fe, and slight enrichment below the redox boundary (Fig. 2a).

4.2 Sequential selective extractions (SSE)

The results of the SSE from the top 25 cm composite sample (Table 3) reveal that water-soluble (including efflorescent) salts released during the initial step represented a significant mass fraction of Ca (35%) and a smaller proportion of total Mg (8%). A comparable mass fraction of water soluble Mn (13%) indicates that a portion of the total Mn may be precipitated as Mn(II) salts. The second step (NH4NO3), targeting exchangeable ions, liberated most of the total Na (72%) and the second largest pool of Ca (30%). Elemental mass fractions were low overall during the third (AAc) step (which should include any residual carbonates), the highest being for Fe (7%). Large pools of Fe (24%) were solubilized during oxalate-promoted dissolution targeting poorly-crystalline Fe(III) and Al(III) bearing solids (step 5). Most of the remaining Fe (41%) was removed during dissolution targeting Fe(III) oxides/sulfates by citrate bicarbonate dithionite (CBD). This reductive dissolution of more crystalline secondary Fe(III) [and Mn(IV)] solids released the largest extractable fraction of K (17%, presumably from jarosite), and the second largest fraction of Mn (10%). The AAO and CBD steps are both known to dissolve jarosite-group minerals (Dold, 2003a). Overall, these results indicate the presence of a large mass fraction of secondary Fe-bearing phases, as well as of soluble salts, in the top of portion of the profile. Since none of the SSE steps target silicate or sulfide minerals, the large pool of “residual” Fe (31%) was attributed dominantly to silicates and sulfides. Results of synchrotron analyses on selected solid phase residual samples are discussed below.

Table 3.

Results from sequential selective extraction (SSE) of composited IK mine tailings (0–25cm).

DLa
(μmol kg−1)
Totalb
(mmol kg−1)
DI H2Oc
(μmol kg−1)
NH4NO3c
(μmol kg−1)
AAcc
(μmol kg−1)
NaH2PO4c
(μmol kg−1)
AAOc
(μmol kg−1)
CBDc
(μmol kg−1)
Σ(1–6)δ
(μmol kg−1)
Labilee
(%)
Residualf
(%)

Element Total water
soluble
plant
available
acid
soluble
specifically
sorbed
amorphous
(oxyhydr)oxides
crystalline
(oxyhydr)oxides
extractable unextractable
Na 1.74 230(10)g 30(7) 1670(8)E2 19(4)E2 <DLh <DL <DL 169(1)E3 72.5% 27.5%
Mg 3.29 510(21) 384(4)E2 9(1)E2 310(70) 250(20) 11(1)E2 1060(20) 421(7)E2 8.25% 91.8%
Al 1.48 1520(30) 649(7)E2 9(2)E2 14(2)E2 910(50) 99(2)E2 10300(80) 88(1)E3 5.80% 94.2%
K 1.02 93(1) 14(2) 24(3)E2 21(1)E2 44(4)E2 88(2)E2 163(2)E2 34(1)E3 36.4% 63.6%
Ca 9.98 1240(25) 43(3)E4 37(4)E4 37(4)E2 13(1)E2 76(4)E2 7940(70) 82(6)E4 66.0% 34.0%
Ti 0.0418 107(2) 4.3(4) 5.9(6) 7(1) <DL <DL <DL 17(2) 0.02% 99.8%
Mn 0.0364 6.5(8) 1770(80) 100(9) 30(4) 49(4) 1010(20) 1270(60) 42(2)E2 64.5% 35.5%
Fe 0.716 2020(80) 43(2)E3 280(60) 17(1)E3 20(1)E3 548(6)E3 94(1)E4 157(2)E4 77.6% 22.4%
a

Detection limit (nmol kg−1) based on ICP-MS instrument detection limit and dilution factors used.

b

Total (mmol kg−1) composition determined by lithium borohydrite fusion followed by with ICP-MS/OES detection.

c

See details in Table 1.

d

Sum of extraction steps 1–6, represents the labile fraction.

e

Labile is the extractable percentage liberated in the SSE scheme;

f

Residual is the unextracted totals from the difference between the SSE steps 1–6 and the total;

g

Values in parenthesis are ± standard deviation of replicate measurements in scientific notation, where necessary (e.g., 230(10) = 230 ± 10 and 1670(8)E2 = 167000 ± 800).

h

<DL indicates less than the detection limit, i.e. the result was not quantifiable as significantly different from the calibration blank and where reported for Ti the result was not distinguishable from the reagent blank.

An identical SSE was conducted on the full set of depth-resolved samples to assess trends in iron fractionation and lability through the redox boundary (Fig. 2b). In the near surface 0–5 cm (sample A), the largest fraction of Fe (64%) is extracted in the CBD step, targeting crystalline pedogenic ferric oxides/sulfoxides, e.g. jarosites. The second largest pool of Fe (20%) was solubilized in the AAO step targeting poorly crystalline ferric (hydr)oxides, e.g ferrihydrite. At 5–15 cm (sample B) the CBD-extractable fraction decreased to 38% and the AAO-extractable fraction increased to 26%, and there was also a significant water extractable fraction (5.3%). At 15–25 cm (sample C) the CBD extractable Fe was decreased further (7.4%), while 25% of the total Fe was extractable in AAO. From 25 cm to the deepest samples (180 cm) there was a small pool of AAc extractable Fe, targeting carbonates (e.g. ankerite). Hence, there is a general increase in the ratio of CBD to AAO extractable Fe moving up from the redox boundary to the surface that follows the trend of decreasing pH. Small but significant mass fractions of AAO-extractable Fe persist below the visually apparent (from color) redox boundary. On the basis of spectroscopic and diffraction data presented below, we attribute this to dissolution of pyritic fine particulates and/or post-sampling oxidation of pyrite and precipitation of AAO extractable ferric (oxyhydr)oxide phases either during the SSE or during sample storage. Samples were kept frozen, isolated from oxygen, and analyzed as soon as possible by X-ray techniques, and while all spectroscopic techniques were carried out with great care to minimize post sampling oxidation, the SSE scheme was conducted in the open laboratory and was not isolated from molecular oxygen during the procedures.

Extractable S was released principally by the de-ionized water step, targeting soluble salts e.g. efflorescent salts and gypsum (10–27% through the sample depths, not shown). A smaller pool extracted by NH4NO3, targeting exchangeable ions, decreased with depth. Little S was solubilized with the AAO extraction step, indicating that S was not occluded into ferric (oxyhydr)oxides. Sulfur was not quantified in the CBD step due to high background S from dithionite, but based on the Fe SSE the remaining S is attributable to jarosite in the near surface and increasingly to pyrite with depth.

4.3 Bulk mineralogy

Bragg reflections from XRD were refined to quantify several phases present in the tailings (Fig. 3, Table 4), including quartz, feldspars, clays, sulfides, sulfates, and carbonates. In respect to Fe and S weathering, pyrite, present in all samples, shows increasing depletion toward the surface, where jarosite-group minerals (e.g., plumbojarosite, hydronium jarosite, jarosite, and natrojarosite) and gypsum were found to accumulate (Fig. 3, Table 4). Carbonate phases, identified only at > 25 cm depth, where pH > 6 (samples D–G), were predominantly in the form of ankerite, with smaller quantities of siderite, whereas calcite was detected only in the deepest sample G.

Figure 3.

Figure 3

X-ray diffraction data and fits. Synchrotron transmission XRD patterns (black lines) converted to Cu Kα scale of IKMHSS pit samples at depths A–G and SSE samples, with corresponding Rietveld models (gray lines). Lower diffractograms represent the simulated patterns of selected phases used in the Rietveld models. Data are normalized to quartz. All jarosite group minerals (e.g., plumbojarosite, hydronium jarosite, jarosite) are modeled here using jarosite. Quantitative results are displayed in Table 4.

Table 4.

Quantitative XRD results of the crystalline mineral phases in the pit samples from Rietveld simulation. Diffraction patterns shown in Figure 3.

Sample Depth Quartz Plagioclase Illite “Chlorite” Kaolinite Pyrite Gypsum H+Jarosite Melanterite Ankerite Siderite Σxtl χa
Name (cm) SiO2 (Ca,Na)
(Al,Si)4O8
K(Al,Mg,Fe)2
(Si,Al)4O10
[(OH)2,(H2O)]
14 Å Al2Si2O5
(OH)4
FeS2 CaSO4
·2H2O
(K,H3O)Fe3
(SO4)2(OH)6
FeSO4
·7H2O
(Fe,Mg,Mn)
CaCO3
FeCO3 G.O.Fa
A 0–5 41.3 2.8 0 4.8 2.9 2 15.9 30.3 0 0 0 100 4.3
B 5–15 49.3 3.3 0 8.7 3.8 1.4 19.5 14.1 0 0 0 100.1 3.9
C 15–25 38 1.3 6.8 20.4 3.7 10.8 17 0 2.1 0 0 100.1 4.3
D 25–35 53.6 9.1 0 0 2.9 21.3 11.3 0 0 1.7 0 99.9 2.2
E 35–38 35.9 4.2 8.2 18.6 1.2 17.4 11.6 0 0 1.6 1.3 100.2 3.8
F 38–54 42.7 3.3 10.4 7.2 1.2 18.2 7.2 0 0 7.2 2.8 100.2 7.2
G 180–183 31.4 2.3 12.1 21.6 0.5 18.1 0 0 0 9.5 0 95.5 0.5
AAOc 0–25 55.3 8.1 0 14.2 1.2 3.1 0 18.2 0 0 0 100.1 1.8
CBDd 0–25 68 13 8.2 8.8 1.6 0.5 0 0 0 0 0 100.1 2.2

XRD Rietveld fits to initial gangue mineral and secondary phases (in italics). The refinement does not differentiate types of jarosite and does not include amorphous or poorly crystalline phases including ferrihydrite and schwertmannite, which is shown to account for up to 8.6% and 5.3% respectively calculated from the total Fe and Fe- XANES.

a

χ2 represent the goodness of fit (between 4 and 70 °2θ) and correspond to χ2 = [Σi (Iobs − Icalc)i22(Iobs)i]/(n − p); with I the intensity, σ(Iobs) the estimated error of the measure (fixed to 10% of the counts), n is the number of points used for simulation and p the number of parameters estimated. Solid phase sampled from a composite of top 25 cm;

b

after AAO extraction;

c

after CBD extraction.

4.4 X-ray absorption spectroscopy

Despite relatively constant total mass concentrations of Fe and S with depth (Table 2), sulfur XANES reveals a systematic depth-dependency in S-containing minerals that can be quantified using linear combination fits to pyrite, gypsum, and jarosite-group (modeled using plumbojarosite) references (Fig. 4, Table 5). Pyrite, present in all samples, increases in mass fraction with depth (from 11 to 95% of the total S). Gypsum, while present in all samples, has its maximum contribution to total S mass at intermediate depth (sample D) and it decreases in prevalence both with increasing depth and toward the surface. The prevalence of jarosites decreases with increasing depth from 68% of total S in sample A (0–5 cm) to undetectable in sample D (25–35 cm) and below.

Figure 4.

Figure 4

Sulfur XANES. The S oxidation state was directly probed with S K-edge XANES (fits shown as dashed lines). Fits (range 2465–2515 eV) are tabulated in Table 5. Arrows indicate subtle sulfate features that differentiate gypsum and (Pb)jarosite.

Table 5.

Results of sulfur XANES showing fractional mineral phase components in bulk S from IKMHSS mine tailing. Spectra shown in Figure 4, fit range: 2465–2515 eV.

Sample depth (cm) S phases
LC fita
Gypsum Jarositesb Pyritec Σsulf χ2 d
A 0–5 0.18 0.68 0.11 0.97 0.004
B 5–15 0.31 0.53 0.14 0.98 0.004
C 15–25 0.41 0.35 0.22 0.98 0.001
D 25–35 0.60 -- 0.40 1.00 0.0007
E 35–38 0.40 -- 0.60 1.00 0.0004
F 38–54 0.31 -- 0.67 0.98 0.0005
G 180–183 0.05e -- 0.95 1.00 0.001
a

Linear combination fits were not normalized to unity.

b

The hydrosulfates were best fit with jarosite, differentiation of jarosites was not attempted and the reported value may be a mixture of jarosites (e.g. hydronium-, natro-, plumbo-, jarosite) and schwertmannite.

c

The sulfide component was best fit with pyrite, but this fraction may contain other metal sulfides, e.g. ZnS, PbS.

d

χ2 is the reduced chi squared statistical indicator, calculated from the sum of the error divided by the degrees of freedom in the fit, is a goodness of fit parameter that is iteratively minimized with combinations of components, it does not indicate that the correct components were selected, but reports how well the selected components fit the data

e

The gypsum is a weathering product of pyrite and Ca-bearing carbonates or silicates in surficial tailings and at depth is likely a byproduct of Zn processing by lime addition or post sampling oxidation.

Iron XANES data likewise indicate coherent depth-dependent trends in iron sulfide, carbonate, (oxyhydr)oxide, and (hydroxy)sulfate in the top meter of IKMHSS tailings (Fig. 5, Table 6). Consistent with the S XANES and XRD, the prevalence of pyrite decreased from 71% at 180–183 cm to 2% at 0–5 cm. Ankerite was only detected in samples with pH ≥ 5.5 (sample D), with maximum relative abundance of 22% in sample F. The relative abundance of ankerite is 12% in the deepest sample, consistent with its presence as a secondary phase precipitating during initial post-depositional pyrite oxidation. Ferrihydrite was detected in all surficial samples (samples A–E) with a maximum abundance in sample B. Schwertmannite is detected only in sample C where the bulk pH is intermediate (pH = 3.7). Jarosite-group minerals are present in the surficial samples A and B with abundance increasing toward the ground surface along with decreasing pH.

Figure 5.

Figure 5

Iron XANES. A) IKMHSS normalized XANES from the shallow pit (0–55 cm) and deeper core (to 180cm) from mine tailings (fits calculated from first-derivative fits shown in dashed lines), B) IKMHSS first derivative sample spectra (fits shown in dashed lines), and C) Fe first-derivative XANES of reference minerals used in XANES linear combination fits. The Fe XANES show a gradual transition from ferric oxide to ferrous sulfide phases from the surface to deep tailings.

Table 6.

Iron first-derivative XANES fit results, showing fractional components in bulk iron from IKMHSS mine tailings. Spectra shown in Figure 5, fit range: 7100–7150 eV.

Section Depth (cm) fit ΔeV c.l.a fit ΔeV c.l.a fit ΔeV c.l.a fit ΔeV c.l.a fit ΔeV c.l.a fit ΔeV c.l.a Σb
Intact pit Ferrihydritec Pb-Jarosited Schwertmannitee Ankeritef Pyriteg Chloriteh Total
A 0–5 0.31 0.10 0.06 0.58 0.87 0.04 -- -- -- -- -- -- 0.02i 0.20 0.02 0.09 0.12 0.02 1.00
B 5–15 0.47 0.02 0.05 0.32 0.33 0.04 -- -- -- -- -- -- 0.13 0.25 0.02 0.12 0.52 0.02 1.05
C 15–25 0.25 0.10 0.28 -- -- -- 0.25 0.1 0.25 -- -- -- 0.29 0.15 0.05 0.21 0.10 0.03 0.99
D 25–35 0.30 0.00 0.02 -- -- -- -- -- -- 0.05 0.52 0.02 0.49 0.18 0.03 0.16 0.40 0.02 1.00
E 35–38 0.33 0.19 0.03 -- -- -- -- -- -- 0.06 0.06 0.02 0.43 0.15 0.02 0.16 0.30 0.02 0.98
F 38–54 -- -- -- -- -- -- -- -- -- 0.22 0.06 0.02 0.59 0.00 0.04 0.16 0.30 0.02 0.97
G 180–183 -- -- -- -- -- -- -- -- -- 0.12 0.02 0.02 0.71 0.73 0.02 0.25 0.03 0.01 1.07

Isolatesj
Tan 0–25 0.26 0.10 0.05 0.74 0.08 0.04 -- -- -- -- -- -- -- -- -- 0.09 0.45 0.01 1.09
Red 0–25 0.24 0.02 0.06 -- -- -- 0.60 0.24 0.03 -- -- -- -- -- -- 0.15 0.09 0.03 0.99
Blue 0–25 -- -- -- -- -- -- -- -- -- 0.17 0.02 0.02 0.64 0.08 0.02 0.20 0.61 0.02 1.01
SSE unrxk 0–25 0.59 0.29 0.06 0.22 0.00 0.05 -- -- -- -- -- -- 0.09 0.15 0.02 0.10 0.89 0.02 1.00
AAOl 0–25 -- -- -- 0.47 0.34 0.02 -- -- -- -- -- -- 0.30 0.37 0.02 0.16 0.53 0.02 0.93
CBDm 0–25 -- -- -- -- -- -- -- -- -- -- -- -- 0.36 0.71 0.01 0.63 0.23 0.01 0.99
a

Goodness-of-fit reported as 99% confidence limit (c.l.), which is three times the estimated standard deviation (Pickering, 2001), the estimated detection limit for Fe components fit by LCF XANES is 0.05 (O’Day et al., 2004);

b

Fit components were not normalized;

c

Fit with synthetic 2-line ferrihydrite spectrum, prepared following (Cornell and Schwertmann, 2003);

d

Fit with synthetic plumbojarosite reported in (Hayes et al., 2012);

e

Fit with synthetic schwertmannite spectrum, prepared following (Cornell and Schwertmann, 2003);

f

Presence of ankerite confirmed with XRD and FTIR;

g

Fit with natural pyrite spectrum, confirmed with XRD, reference mineral previously analyzed by XAS (O’Day et al., 2004);

h

Fit with reference chlorite (CCa-2), Clay Minerals Society reference mineral previously analyzed by XAS (O’Day et al., 2004);

i

The 0.02 pyrite fraction was included because it was observed as a residual in sequential extraction and statistically significantly improved the LCF;

j

Isolates include: as-collected grains from the oxic tailings; separated based on color and sequential extraction splits;

k

Composite tailings from 0–25 cm (Solis-Dominguez et al., 2012);

l

after SSE-AAO,

m

after SSE-CBD.

Detrital iron-bearing silicates, represented in the reference set by ripidolite (CCa-2), an Fe rich chlorite-group, 2:1 layer-type clay, with Fe (FeIII/FeII = 1.15; O’Day et al., 2004) in octahedral coordination, was present in all samples, with a relative abundance that generally increased with depth. The chlorite spectrum obtained from CCa-2 contains several distinct features that are unique among the reference minerals and was essential to obtaining good reconstructions of sample spectra, as-collected grains, and SSE solid phase residual materials.

Analysis of the XANES spectra of SSE solid residuals from the surface composite sample (0–25 cm) revealed little change in the Fe mineralogy through the NaH2PO4 extraction (steps 1–3) (Table 6). However, the AAO step effectively removed ferrihydrite and possibly some poorly-crystalline jarosite, whereas the CBD extraction removed the crystalline iron (hydroxy)sulfates. After the CBD step, the Fe spectrum was fit very well to 63% pyrite and 36% chlorite, the latter being difficult to recognize without Fe XANES analysis of the SSE residuals (EA text and Fig. EA-5). The Fe XANES of as-collected grains isolated by color revealed discrete Fe phases and assemblages that were used to improve the XANES fits of the pit samples. The Fe XANES of the as-collected grains showed jarosite-group minerals and ferrihydrite dominated the signal for the “Tan” sample, schwertmannite and ferrihydrite dominated the “Red” sample, and ankerite, pyrite, and chlorite dominated the “Blue” sample (Table 6, Fig. EA-2).

5. DISCUSSION

The results of this study indicate that when subjected to the low water through-flux associated with semi-arid climatic forcing, weathering of sulfidic mine tailings can result in a steep reaction front in close (< 2 m) proximity to the ground surface. According to mass concentration and mass balance considerations (Table 2, Fig. 2a), most of the original Fe and S deposited as pyritic tailings remains in place across the gossan oxidation front. However, element fractionation patterns (e.g., Fig. 2a–b, Table 3), mineralogical results (Fig. 3, Table 4) and XANES data (Fig. 45) indicate near complete species transformations within the top half meter after 50 years of incongruent dissolution in situ. The shallowness of the reaction front is reflected in a return to ‘parent’ composition within 2 meters of depth.

5.1 Mineral weathering trajectory

At near 2 m depth, the mineral assemblage containing sulfide, carbonate, and phyllosilicate (sample G) is likely the same as that initially deposited, as there is little evidence of post-depositional oxidation. In this shallow weathering profile, pyrite, the dominant sulfide mineral, was detected in all samples but became significantly depleted in surficial layers (Fig. 3, Table 4). Agreement between Fe and S XANES fit results for pyrite quantification using these two methods is demonstrated in Figure 6 by close agreement of the data (solid line, r2= 0.944) with the stoichiometric ratio Fe:2S expected for pyrite (dashed line). Slight overestimation by S XANES is consistent with the presence of smaller quantities of nonpyrite sulfide minerals in the tailings, particularly ZnS and PbS, which were not included in the linear combination fits, and hence are not differentiated from the “pyrite” fraction assigned by S XANES.

Figure 6.

Figure 6

Comparison of apparent pyrite concentration from linear combination fits to S XANES and Fe XANES. Moles of pyrite per kg of tailings were calculated from the pyrite fractional fit from Fe and S XANES spectra and the moles of Fe and S in the tailings respectively. The solid line is the linear correlation (r2= 0.944), the dashed line is the Fe:2S line, accounting for stoichiometry of FeS2. Error bars are from the calculated error estimates from the S and Fe fits and not from replicate spectra. The pH is shown in circles for each associated sample.

Carbonate minerals, ankerite and siderite, were detected in small quantities at depth (samples D–G) by Q-XRD, Fe XANES and FT-IR (not shown). The assertion that the buffering capacity of these carbonate mineral fractions is consumed early in oxidative tailings diagenesis (Jambor et al., 2000) is supported in our data sets by (i) the sharply decreasing pH values (to below < 4) with distance from the redox boundary, (ii) progressive depletion of total carbonates detected in samples G to D, and (iii) the apparent dissolution below detection of carbonates in tailings collected from shallow depths (< 25 cm).

Important solid-phase products of sulfide weathering under semi-arid climatic forcing include gypsum that was observed at all depths using S XANES (5–60%, with a maximum in sample D; Fig. 4, Table 5). The presence of gypsum in the deeper sulfide zone is likely due to lime-induced sulfide weathering during the initial milling process (Fig. 4, Table 5). The increase in its prevalence in the oxidized portion of the reaction front reflects not only greater degree of sulfur oxidation, but also insufficient water through-flux to remove from the profile soluble products of gypsum dissolution.

The diffuse redox boundary between sulfidic and oxidic tailings represents the penetration depth of reactive O2 diffusion and/or advection (via wetting front propagation) into the tailings. Prior studies demonstrate the rate of oxidation of sulfide-rich mine waste depends on the availability of H2O, temperature, Eh, O2, Fe3+(aq), and particle size (e.g. Jambor et al., 2000; Blowes et al., 2003; Cai et al., 2009; Abrahams, 2012). The most obvious indication of the redox boundary in the IKMHSS tailings is the color change and the deepest occurrence of secondary Fe (hydr)oxides (sample E). The appearance of ferrihydrite at 38 cm depth (sample E; Fig. 5, Table 6), with a notable absence of jarosites and schwertmannite until 25 cm depth (sample C; Fig. 5, Table 6), suggests that ferrihydrite is the first metastable iron solid phase to form upon pyrite oxidation. Previous studies have reported the ubiquitous presence of ferrihydrite particularly in Fe- and S-rich mine-wastes at pH > 5.5–5.8 (Bigham et al., 1996; Williams et al., 2002). In an Eh-pH model of the IKMHSS tailings (Figure 7), we plot a range of log Ksp values for ferrihydrite (e.g. log Ksp = 3.0 to 5.66; Delany and Lundeen, 1990; Majzlan et al., 2004), and suppress thermodynamically-stable hematite, goethite, and magnetite to highlight the metastable iron phases observed. Evidently, the observation of ferrihydrite in samples E-A demonstrates its persistence far outside of its predicted stability field, down to pH= 2.6.

Figure 7.

Figure 7

Activity-activity diagrams, shown with the energetically favorable hematite and goethite suppressed to illustrate the metastable Fe and S phases. The Eh-pH diagram shows Pb-jarosite, schwertmannite and ferrihydrite as the meta-stable iron phases in oxic-environments. The model was constrained by XANES and XRD, and elemental activities are given in inset.

When water activity is assumed to equal one, iron (oxyhydr)oxide and (hydroxy)sulfate minerals are predicted to transform to goethite, a transformation generally thought to take months to years (Bigham et al., 1990; Murad and Rojik, 2005). Bigham (1996) reported the complete transformation of synthetic schwertmannite to goethite in 543 days. Interestingly, we see no evidence of such transformations in the IKMHSS tailings. The absence of XRD detectable crystalline goethite or hematite indicates that the transformation kinetics of ferrihydrite are retarded in this sulfate-rich, semi-arid environment. It is noteworthy, therefore, that no goethite or hematite has been detected at this site and metastable minerals appear to have persisted through ca. 50 years of weathering. Indeed, ferrihydrite persists at this site under much lower pH conditions than has previously been reported (e.g., pH=4.5–5; Murad and Rojik, 2005).

Melanterite and schwertmannite were observed to occur exclusively in sample C (pH 3.7), signaling a metastable transition in the reaction front between ferrihydrite and jarosite. Melanterite was detected by XRD but not Fe XANES, likely because of the heterogeneity of the natural samples. Schwertmannite is metastable at lower pH conditions than ferrihydrite (Fig. 7), and is most stable at pH 3–4 (Bigham et al., 1996). However, prior studies have reported the presence of schwertmannite in systems with pH 2.5 to 6.5 (Winland et al., 1991; Bigham et al., 1996; Murad and Rojik, 2005).

Jarosite-group minerals, along with ferrihydrite, were detected in samples A–B by XRD and XANES (both Fe and S) and account for the principle secondary iron phases present at the tailings surface. Jarosites are most stable at low pH (< 2.8) conditions (Bigham et al., 1990; Bigham and Nordstrom, 2000; Murad and Rojik, 2005) and can contain a variety of cations, including protons, H3O+, Na+, NH4+, and Pb2+ (Jambor et al., 2000).

Low water through-flux in (semi-)arid environments are expected to influence the rate and trajectory of mineral transformations and the formation and persistence of secondary phases (Jambor et al., 2000; Dill et al., 2002; Dill et al., 2012). Previous studies have reported the transformation of primary silicates, carbonates, and sulfides to secondary (oxyhydr)oxides and sulfate minerals under a range of climatic forcings (e.g., Hudson-Edwards et al., 1996; Murad and Rojik, 2005). Our results are generally consistent with previously reported results; we observe in the near-surface of the tailings profile (at the sub-meter scale) the incongruent weathering trajectory: pyrite, silicate minerals, and carbonates→ ferrihydrite and gypsum → schwertmannite → jarosite-group minerals.

However, the mineralogical sequence observed at this site emphasizes the apparent persistence of metastable minerals, such as ferrihydrite and schwertmannite, at times under conditions far from their predicted equilibrium stability. The apparent persistence of these metastable phases may be largely due to (i) the retention against downward leaching of sulfate in tailings pore waters, since this inhibits the transformation of ferrihydrite to more crystalline phases (Majzlan and Myneni, 2005) and (ii) low relative humidity in semi-arid tailings (Majzlan, 2010). Hence, unlike mine tailings weathering processes in more humid environments, tailings diagenesis at IKHMSS is strongly controlled by low water activity and the fact that sulfate is not translocated to depth and out of the oxidative reaction front, a direct result of a semi-arid climate that imposes low pore volume through-flux.

5.2 Depth of reaction front

Clearest indication of the redox boundary in the IKMHSS tailings is the deepest occurrence of secondary Fe (hydr)oxides (35–38 cm) since this presents a distinctly orange color and dramatic change in mineralogy. However, evidence of oxidation in deeper samples is reflected in a decrease in pH and smaller percentage of calcite in sample F relative to sample G, suggesting that penetration of oxygen to a depth of at least 55 cm may have resulted in the dissolution of calcite and the precipitation of small amounts of secondary carbonates, ankerite and siderite, not found in the materials upon deposition (sample G).

Although there are few prior studies that report depth of reaction front and oxidation in mine tailings, the IKMHSS tailings present a depth that is among the shallowest, particularly given the relatively long duration (> 50 years) of weathering. The best comparisons are perhaps porphyry Cu tailings piles in Chile (although those tailings had lower total sulfide content at 1–6%) where oxidation was observed to a depth of 1.1 to 5 m depending on weathering time (20–40 years) and climate (alpine to hyper-arid; Dold and Fontboté, 2001). Reports from more temperate climates indicate a shallower penetration of O2 to a depth of 0.7 m in sulfide-rich tailings in Rhineland-Palatinate, Germany (Schuwirth et al., 2007) and 0.2–1.2 m in sub-humid Taxco tailings, located in south-central Mexico (Romero et al., 2007). Shallower reaction front depths in some more humid climates have been related to higher moisture content and sustained groundwater tables more proximal to the surface in moist climates, since slower diffusion of O2 occurs in water relative to air (Morth and Smith, 1996). Conversely, the shallow gossan front observed in the present study can be attributed to low water leaching that confines the weathering zone to the near surface, where it is potentially susceptible to erosive removal during extreme climatic events.

6. CONCLUSIONS

Whereas the production of acid mine drainage during water-tailings interaction is well documented, the mineralogical and geochemical trends recorded in the residual solid-phase weathering profile is less well known, particularly for arid systems. In this work, sulfide-ore derived tailings were collected across a weathering profile 50 years following deposition to assess how mineral transformation is coupled to major element (iron and sulfur) speciation change during oxidative weathering under semi-arid climate. Sharp gradients in mineral assemblage, iron and sulfur speciation, and element lability/fractionation were observed to occur at shallow depths (< 1 m). Despite retention of both Fe and S in a system where potential evapotranspiration significantly exceeds precipitation on an annual basis, five decades of exposure to surficial conditions (O2 and H2O) has resulted in extensive mineral weathering in the top 0.5 m, including the near complete depletion of sulfides in surficial layers and the formation of a coherent trend in complex secondary mineral assemblage and pH as a function of depth. Spatially-resolved sampling and analysis within the surface two meters indicates the reaction trajectory pyrite, silicate minerals and carbonates→ ferrihydrite and gypsum → schwertmannite → jarosite-group minerals. Low water through-flux limits translocation of sulfate through the tailings profile and contributes to the persistence of metastable ferrihydrite and schwertmannite. The resulting shallow reaction front creates a gossan zone in the top 30 cm that is subject to potential off-site transport by wind and water erosion, which has important implications for contaminant dispersion, the subject of a companion study.

Supplementary Material

01
02

Table 7.

Identification of mineral and amorphous phases in the Iron King mine tailings.

Minerala Formulae Detectionb
quartz SiO2 XRD
plagioclase (Ca,Na)(Al,Si)4O8 XRD
illite K(Al,Mg,Fe)2(Si,Al)4O10[(OH)2(H2O)] XRD
chlorite (Mg,Al,Fe)6(Si,Al,Fe)4O10(OH)8 XRD, Fe XANES
kaolinite Al2Si2O5 (OH)4 XRD
pyrite FeS2 XRD, Fe XANES, S XANES
ankerite Ca(Fe,Mg,Mn)CO3 XRD, Fe XANES, FT-IRc
calcite CaCO3 XRD
gypsum CaSO4·2H2O XRD, S XANES
jarosite (K,H3O)Fe3(SO4)2(OH)6 XRD, Fe XANES, S XANES
melanterite FeSO4·7H2O XRD
siderite FeCO3 XRD
schwertmannite Fe8O8(OH)6(SO4) Fe XANES
ferrihydrite (Fe2O3*nH2O) Fe XANES
plumbo-jarosited (Pb)Fe6(SO4)4(OH)12 Fe XANES, XRD
a

initial gangue minerals and secondary phases (in italics);

b

positive identification by any method was sufficient evidence for the presence of the phase, acknowledging the error in each technique;

c

the carbonate phase was identified with FT-IR and with further investigation of Fe XANES and Q-XRD was confirmed to be ankerite.

d

Plumbo-jarosite was not differentiated from other jarosites.

Acknowledgments

This research was supported by the National Institute of Environmental Health Sciences Grant numbers 2 P42 ES04940-11 and 1 R01ES017079-01. Portions of this research were carried out at the Stanford Synchrotron Radiation Laboratory, a National User Facility operated by Stanford University on behalf of the U.S. Department of Energy, Office of Basic Energy Sciences. The SSRL Structural Molecular Biology Program is supported by the Department of Energy, Office of Biological and Environmental Research, and by the National Institutes of Health, National Center for Research Resources, Biomedical Technology Program. We are grateful to Mary Kay Amistadi, Scott White, Corin Hammond, Xiaodong Gao, Peggy O’Day, Dorie Beals, and Robert Downs for assistance with sample analyses. The comments of AE Jan Wiederhold and three anonymous reviewers greatly helped to improve the earlier version of the manuscript.

Abbreviations

XAS

X-ray Absorption Spectroscopy (both XANES and post edge regions)

XANES

X-ray Absorption Near-Edge Spectroscopy

SSE

Selective Sequential Extraction

Q-XRD

Quantitative X-ray Diffraction

IKMHSS

Iron King Mine and Humbolt Smelter Superfund site

Footnotes

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References

  1. Abrahams PW. Involuntary soil ingestion and geophagia: A source and sink of mineral nutrients and potentially harmful elements to consumers of earth materials. Appl Geochem. 2012;27:954–968. [Google Scholar]
  2. Bajt S, Sutton SR, Delaney JS. X-ray microprobe analysis of iron oxidation states in silicates and oxides using X-ray absorption near edge structure (XANES) Geochim Cosmochim Acta. 1994;58:5209–5214. [Google Scholar]
  3. Bigham JM, Nordstrom DK. Iron and Aluminum Hydroxysulfates from Acid Sulfate Waters. Rev Mineral Geochem. 2000;40:351–403. [Google Scholar]
  4. Bigham JM, Schwertmann U, Carlson L, Murad E. A Poorly Crystallized Oxyhydroxysulfate of Iron Formed by Bacterial Oxidation of Fe(ii) in Acid-Mine Waters. Geochim Cosmochim Acta. 1990;54:2743–2758. [Google Scholar]
  5. Bigham JM, Schwertmann U, Traina SJ, Winland RL, Wolf M. Schwertmannite and the chemical modeling of iron in acid sulfate waters. Geochim Cosmochim Acta. 1996;60:2111–2121. [Google Scholar]
  6. Blowes DW, Jambor JL. The pore-water geochemistry and the mineralogy of the vadose zone of sulfide tailings, Waite Amulet, Quebec, Canada. Appl Geochem. 1990;5:327–346. [Google Scholar]
  7. Blowes DW, Ptacek CJ, Jambor JL, Weisener CG. 9.05 - The Geochemistry of Acid Mine Drainage. In: Heinrich DH, Karl KT, editors. Treatise on Geochemistry. Pergamon; Oxford: 2003. pp. 149–204. [Google Scholar]
  8. Bostick BC, Theissen KM, Dunbar RB, Vairavamurthy MA. Record of redox status in laminated sediments from Lake Titicaca: A sulfur K-edge X-ray absorption near edge structure (XANES) study. Chem Geol. 2005;219:163–174. [Google Scholar]
  9. Brimhall GH, Dietrich WE. Constitutive mass balance relations between chemical composition, volume, density, porosity, and strain in metosomatic hydrochemical systems: Results on weathering and pedogenesis. Geochim Cosmochim Acta. 1987;51:567–587. [Google Scholar]
  10. Cai Y, Pan Y, Xue J, Sun Q, Su G, Li X. Comparative XPS study between experimentally and naturally weathered pyrites. Appl Surf Sci. 2009;255:8750–8760. [Google Scholar]
  11. Caraballo MA, Rotting TS, Nieto JM, Ayora C. Sequential extraction and DXRD applicability to poorly crystalline Fe- and Al-phase characterization from an acid mine water passive remediation system. Am Mineral. 2009;94:1029–1038. [Google Scholar]
  12. Combes JM, Manceau A, Calas G, Bottero JY. Formation of ferric oxides from aqueous-solutions - a polyhedral approach by x-ray absroption spectroscopy. 1 Hydrolysis and formation of ferric gels. Geochim Cosmochim Acta. 1989;53:583–594. [Google Scholar]
  13. Courtin-Nomade A, Grosbois C, Marcus MA, Fakra SC, Beny JM, Foster AL. The weathering of a sulfide orebody: speciation and fate of some potential contaminants. Can Mineral. 2009;47:493–508. [Google Scholar]
  14. Couture RM, Gobeil C, Tessier A. Arsenic, iron and sulfur co-diagenesis in lake sediments. Geochim Cosmochim Acta. 2010;74:1238–1255. [Google Scholar]
  15. Creasey SC. Geology of the Iron King Mine, Yavapai County, Arizona. Econ Geol. 1952;47:24–56. [Google Scholar]
  16. Csavina J, Field J, Taylor MP, Gao S, Landázuri A, Betterton EA, Sáez AE. A review on the importance of metals and metalloids in atmosheric dust and aerosol from mining operations. Sci Total Environ. 2012;433:58–73. doi: 10.1016/j.scitotenv.2012.06.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Delany JM, Lundeen SR. Reportt UCRL-21658. Lawrence Livermore National Laboratory; 1990. The LLNL Thermochemical Database. [Google Scholar]
  18. Dill HG, Pöllmann H, Bosecker K, Hahn L, Mwiya S. Supergene mineralization in mining residues of the Matchless cupreous pyrite deposit (Namibia) - a clue to the origin of modern and fossil duricrusts in semiarid climates. J Geochem Explor. 2002;75:43–70. [Google Scholar]
  19. Dill HG, Weber B, Botz R. Metalliferous duricrusts - markers of weathering: A climatic and geomorphological approach to the origin of Pb-Zn-Cu-Sb-P-bearing chemical residues. J Geochem Explor. 2012;112:123–195. [Google Scholar]
  20. Dold B. Dissolution kinetics of schwertmannite and ferrihydrite in oxidized mine samples and their detection by differential X-ray diffraction (DXRD) Appl Geochem. 2003a;18:1531–1540. [Google Scholar]
  21. Dold B. Speciation of the most soluble phases in a sequential extraction procedure adapted for geochemical studies of copper sulfide mine waste. J Geochem Explor. 2003b;80:55–68. [Google Scholar]
  22. Dold B, Fontboté L. Element cycling and secondary mineralogy in porphyry copper tailings as a function of climate, primary mineralogy, and mineral processing. J Geochem Explor. 2001;74:3–55. [Google Scholar]
  23. Dold B, Fontboté L. A mineralogical and geochemical study of element mobility in sulfide mine tailings of Fe oxide Cu-Au deposits from the Punta del Cobre belt, northern Chile. Chem Geol. 2002;189:135–163. [Google Scholar]
  24. Downs RT, Hall-Wallace M. The American Mineralogist Crystal Structure Database. Am Mineral. 2003;88:247–250. [Google Scholar]
  25. Fittschen UEA, Meirer F, Streli C, Wobrauschek P, Thiele J, Falkenberg G, Pepponi G. Characterization of atmospheric aerosols using Synchroton radiation total reflection X-ray fluorescence and Fe K-edge total reflection X-ray fluorescence-X-ray absorption near-edge structure. Spectrochim Acta B. 2008;63:1489–1495. [Google Scholar]
  26. Fleet ME. XANES spectroscopy of sulfur in earth materials. Can Mineral. 2005;43:1811–1838. [Google Scholar]
  27. George GN, Pickering IJ. EXAFSPAK: A suite of computer programs for analysis of X-ray absorption spectra. Stanford Synchrotron Radiation Laboratory; 2000. [Google Scholar]
  28. Hayes SM, Webb SM, Bargar JR, O’Day PA, Maier RM, Chorover J. Geochemical Weathering Increases Lead Bioaccessibility in Semi-Arid Mine Tailings. Environ Sci Technol. 2012;46:5834–5841. doi: 10.1021/es300603s. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Hayes SM, White SA, Thompson TL, Maier RM, Chorover J. Changes in lead and zinc lability during weathering-induced acidification of desert mine tailings: Coupling chemical and micro-scale analyses. Appl Geochem. 2009;24:2234–2245. doi: 10.1016/j.apgeochem.2009.09.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Hudson-Edwards KA, Macklin MG, Curtis CD, Vaughan DJ. Processes of formation and distribution of Pb-, Zn-, Cd-, and Cu-bearing minerals in the Tyne Basin, northeast England: Implications for metal-contaminated river systems. Env Sci Technol. 1996;30:72–80. [Google Scholar]
  31. Hudson-Edwards KA, Schell C, Macklin MG. Mineralogy and geochemistry of alluvium contaminated by metal mining in the Rio Tinto area, southwest Spain. Appl Geochem. 1999;14:1015–1030. [Google Scholar]
  32. Hudson-Edwards KA, Jamieson HE, Lottermoser BG. Mine Wastes: Past, Present, Future. Elements. 2011;7:375–379. [Google Scholar]
  33. ICDD. JCPDS Powder Diffraction File 2 Database. International Centre for Diffraction Data. International Centre for Diffraction Data; Newton Square, PA, USA: 2005. [Google Scholar]
  34. Jambor JL, Nordstrom DK, Alpers CN, Alpers CN, Jambor JL, Nordstrom DK. Metal Sulfate Salts from Sulfide Mineral Oxidation. In: Ribbe PH, editor. Sulfate Minerals- Crystallography, Geochemistry, and Environmental Significance. Mineralogical Society of America; Washinton DC, USA: 2000. pp. 303–350. [Google Scholar]
  35. Jamieson HE. Mine Wastes: Geochemistry and Mineralogy of Solid Mine Waste: Essential Knowledge for Predicting Environmental Impact. Elements. 2011;7:381–386. [Google Scholar]
  36. Jamieson HE, Robinson C, Alpers CN, Nordstrom DK, Poustovetov A, Lowers HA. The composition of coexisting jarosite-group minerals and water from the Richmond Mine, Iron Mountain, California. Can Mineral. 2005;43:1225–1242. [Google Scholar]
  37. Karlsson T, Persson P, Skyllberg U, Morth CM, Giesler R. Characterization of iron(III) in organic soils using extended X-ray absorption fine structure spectroscopy. Environ Sci Techol. 2008;42:5449–5454. doi: 10.1021/es800322j. [DOI] [PubMed] [Google Scholar]
  38. Kheboian C, Bauer CF. Accuracy of selective extraction procedures for metal speciation in model aquatic sediments. Anal Chem. 1987;59:1417–1423. [Google Scholar]
  39. La Force MJ, Fendorf S. Solid-phase iron characterization during common selective sequential extractions. Soil Sci Soc Am J. 2000;64:1608–1615. [Google Scholar]
  40. Lande J, Webb SM, Mehta A. Area Diffraction Machine. 2007 http://home.comcast.net/~sam_webb/adm.html.
  41. Lottermoser BG. Mine Wastes: Characterization, Treatment and Environmental Impacts. Springer-Verlag; Berlin: 2010. [Google Scholar]
  42. Lottermoser BG. Recycling, Reuse and Rehabilitation of Mine Wastes. 2011;7:405–410. [Google Scholar]
  43. Majzlan J. Advances and gaps in the knowledge of thermodynamics and crystallography of acid mine drainage sulfate minerals. Chimia. 2010;64:699–704. doi: 10.2533/chimia.2010.699. [DOI] [PubMed] [Google Scholar]
  44. Majzlan J, Myneni SCB. Speciation of iron and sulfate in acid waters: Aqueous clusters to mineral precipitates. Environ Sci Techol. 2005;39:188–194. doi: 10.1021/es049664p. [DOI] [PubMed] [Google Scholar]
  45. Majzlan J, Navrotsky A, Schwertmann U. Thermodynamics of iron oxides. III - Enthalpies of formation oand stability of ferrihydrite (Fe(OH)3), schwertmannite (FeO(OH)3/4(SO4)i/8), and Fe2O3. Geochim Cosmochim Acta. 2004;68:1049–1059. [Google Scholar]
  46. Manceau A, Gates WP. Surface structural model for ferrihydrite. Clay Clay Min. 1997;45:448–460. [Google Scholar]
  47. Marcus MA, Westphal AJ, Fakra SC. Classification of Fe-bearing species from Kedge XANES data using two-parameter correlation plots. J Synchrotron Radiat. 2008;15:463–468. doi: 10.1107/S0909049508018293. [DOI] [PubMed] [Google Scholar]
  48. McLean EO. Soil pH and lime requirement. In: Page AL, Miller RH, Keeney DR, editors. Methods of soil analysis. Part 2. Chemical and microbiological properties. ASA and SSSA; Madison, WI: 1982. [Google Scholar]
  49. Mitsunobu S, Sakai Y, Takahashi Y. Characterization of Fe(III) (hydr)oxides in arsenic contaminated soil under various redox conditions by XAFS and Mössbauer spectroscopies. Appl Geochem. 2008;23:3236–3243. [Google Scholar]
  50. Morra MJ, Fendorf SE, Brown PD. Speciation of sulfur in humic and fulvic acids using X-ray absorption near-edge structure (XANES) spectroscopy. Geochim Cosmochim Acta. 1997;61:683–688. [Google Scholar]
  51. Morth AH, Smith EE. Kinetics of the sulfide-to-sulfate reaction. Am Chem Soc Div Fuel Chem. 1996;10:83–92. [Google Scholar]
  52. Murad E, Rojik P. Iron mineralogy of mine-drainage precipitates as environmental indicators: review of current concepts and a case study from the Sokolov Basin, Czech Republic. Clay Miner. 2005;40:427–440. [Google Scholar]
  53. Myneni SCB. X-ray and vibrational spectroscopy of sulfate in earth materials. In: Alpers CN, Jambor JL, Nordstrom DK, editors. Sulfate Minerals: Crystallography, Geochemistry, and Environmental Significance. Mineralogical Society of America; Washington DC: 2000. pp. 113–172. [Google Scholar]
  54. Myneni SCB. Soft X-ray spectroscopy and spectromicroscopy studies of organic molecules in the environment. Rev Mineral Geochem. 2002;49:485–558. [Google Scholar]
  55. Myrick DF. Santa Fe to Phoenix. Railroads of Arizona. Signature Press; Berkeley, California: 2001. [Google Scholar]
  56. Navarro A, Collado D, Carbonell M, Sanchez JA. Impact of mining activities on soils in a semi-arid environment: Sierra Almagrera district, SE Spain. Environ Geochem Hlth. 2004;26:383–393. doi: 10.1007/s10653-005-5361-0. [DOI] [PubMed] [Google Scholar]
  57. Neaman A, Mouele F, Trolard F, Bourrie G. Improved methods for selective dissolution of Mn oxides: applications for studying trace element associations. Appl Geochem. 2004;19:973–979. [Google Scholar]
  58. Neuhausler U, Feng H, Jones KW. Characterization of sulfur in New York New Jersey waterway sediment. J Phys IV. 2003;104:439–442. [Google Scholar]
  59. Nordstrom DK, Alpers CN. Geochemistry of acid mine waters. In: Plumlee GS, Logsdon MJ, editors. Reviews in Economic Geology. The Environmental Geochemistry of Mineral Deposits. Part A. Processes, Methods and Health Issues. Soc. Econ. Geol; Littleton, CO: 1999. pp. 133–160. [Google Scholar]
  60. O’Day PA, Rivera N, Root R, Carroll SA. X-ray absorption spectroscopic study of Fe reference compounds for the analysis of natural sediments. Am Mineral. 2004;89:572–585. [Google Scholar]
  61. Perdrial N, Rivera N, Thompson A, O’Day PA, Chorover J. Trace contaminant concentration affects mineral transformation and pollutant fate in hydroxide-weathered Hanford sediments. J Hazard Mater. 2011;197:119–127. doi: 10.1016/j.jhazmat.2011.09.063. [DOI] [PubMed] [Google Scholar]
  62. Pickering IJ. Edge Fitting Analysis using EXAFSPAK: A Tutorial. Stanford Synchrotron Radiation Laboratory; 2001. [Google Scholar]
  63. Pickering WF. Selective chemical extractions of soil components and bound metal species. Crit Rev Anal Chem. 1981;12:233–266. [Google Scholar]
  64. Prietzel J, Thieme J, Neuhausler U, Susini J, Kogel-Knabner I. Speciation of sulphur in soils and soil particles by X-ray spectromicroscopy. Eur J Soil Sci. 2003;54:423–433. [Google Scholar]
  65. Prietzel J, Thieme J, Tyufekchieva N, Paterson D, Mcnulty I, Kogel-Knabner I. Sulfur speciation in well-aerated and wetland soils in a forested catchment assessed by sulfur K-edge X-ray absorption near-edge spectroscopy (XANES) J Plant Nutr Soil Sci. 2009;172:393–403. [Google Scholar]
  66. Ramirez-Andreotta MD, Brusseau ML, Beamer P, Maier RM. Home gardening near a mining site in an arsenic-endemic region of Arizona: Assessing arsenic exposure dose and risk via ingestion of home garden vegetables, soils, and water. Sci Total Environ. 2013a;454–455:373–382. doi: 10.1016/j.scitotenv.2013.02.063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Ramirez-Andreotta MD, Brusseau ML, Artiola JF, Maier RM. A greenhouse and field-based study to determine the accumulation of arsenic in common homegrown vegetables grown in mining-affected soils. Sci Total Environ. 2013b;443:299–306. doi: 10.1016/j.scitotenv.2012.10.095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Rayle CE, Solliday S, Vargas VD. A cultural resource and historic building survey for a remedial investigation/feasibility study at the Iron King Mine-Humboldt Setler Superfund site, Dewey-Humboldt, Yavapai Cpunty, Arizona. Environmental Protection Agency; 2008. EP-W-06-004. http://yosemite.epa.gov/r9/sfund/r9sfdocw.nsf/688299b284b16e92882574260073faef/a5c1e8e6b65cce26882576fd0075b8ac!OpenDocument. [Google Scholar]
  69. Regenspurg S, Peiffer S. Arsenate and chromate incorporation in schwertmannite. Appl Geochem. 2005;20:1226–1239. [Google Scholar]
  70. Romero FM, Armienta MA, Gonzalez-Hernandez G. Solid-phase control on the mobility of potentially toxic elements in an abandoned lead/zinc mine tailings impoundment, Taxco, Mexico. Appl Geochem. 2007;22:109–127. [Google Scholar]
  71. Root RA, Dixit S, Campbell KM, Jew AD, Hering JG, O’Day PA. Arsenic sequestration by sorption processes in high-iron sediments. Geochim Cosmochim Acta. 2007;71:5782–5803. [Google Scholar]
  72. Root RA, Vlassopoulos D, Rivera NA, Rafferty MT, Andrews C, O’Day PA. Speciation and natural attenuation of arsenic and iron in a tidally influenced shallow aquifer. Geochim Cosmochim Acta. 2009;73:5528–5553. [Google Scholar]
  73. Ruttenburg KC. Development of a sequential extraction method for different forms of phosphorus in marine sediments. Limnol Oceanogr. 1992;37:1460–1482. [Google Scholar]
  74. Schmid R, Wilke M, Oberhänsli R, Janssens K, Falkenberg G, Franz L, Gaab A. Micro-XANES determination of ferric iron and its application in thermobarometry. Lithos. 2003;70:381–392. [Google Scholar]
  75. Schuwirth N, Voegelin A, Kretzschmar R, Hofmann T. Vertical distribution and speciation of trace metals in weathering flotation residues of a zinc/lead sulfide mine. J Environ Qual. 2007;36:61–69. doi: 10.2134/jeq2006.0148. [DOI] [PubMed] [Google Scholar]
  76. Schwertmann U, Cornell RM. Iron oxides in the laboratory: preparation and characterization. Wiley-VCH; Weinheim, NY: 2000. [Google Scholar]
  77. Solis-Dominguez FA, White SA, Hutter TB, Amistadi MK, Root RA, Chorover J, Maier RM. Response of Key Soil Parameters during Compost-Assisted Phytostabilization in Extremely Acidic Tailings: Effect of Plant Species. Environ Sci Technol. 2012;46:1019–1027. doi: 10.1021/es202846n. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Takahashi Y, Kanai Y, Kamioka H, Ohta A, Maruyama H, Song Z, Shimizu H. Speciation of sulfate in size-fractionated aerosol particles using sulfur K-edge X-ray absorption near-edge structure. Environ Sci Technol. 2006;40:5052–5057. doi: 10.1021/es060497y. [DOI] [PubMed] [Google Scholar]
  79. Tessier A, Campbell PGC, Bisson M. Sequential extraction procedure for the speciation of particulate trace metals. Anal Chem. 1979;51:844–851. [Google Scholar]
  80. Waychunas G, Apted M, Brown G., Jr X-ray K-edge absorption spectra of Fe minerals and model compounds: Near-edge structure. Physics and Chemistry of Miner. 1983;10:1–9. [Google Scholar]
  81. Webb SM. Sixpack: A graphical user interface for XAS analysis using IFEFFIT. Phys Scr. 2005;T115:1011–1014. [Google Scholar]
  82. Wetherall KM, Moss RM, Jones AM, Smith AD, Skinner T, Pickup DM, Goatham SW, Chadwick AV, Newport RJ. Sulfur and iron speciation in recently recovered timbers of the Mary Rose revealed via X-ray absorption spectroscopy. J Archaeol Sci. 2008;35:1317–1328. [Google Scholar]
  83. Wilke M, Partzsch GM, Bernhardt R, Lattard D. Determination of the iron oxidation state in basaltic glasses using XANES at the K-edge. Chem Geol. 2005;220:143–161. [Google Scholar]
  84. Wilkinson BH, McElroy BJ. The impact of humans on continental erosion and sedimentation. Geol Soc Am Bull. 2007;119:140–156. [Google Scholar]
  85. Williams DJ, Bigham JM, Cravotta CA, Traina SJ, Anderson JE, Lyon JG. Assessing mine drainage pH from the color and spectral reflectance of chemical precipitates. Appl Geochem. 2002;17:1273–1286. [Google Scholar]
  86. Williams JD, Syers JK, Walker TW. Fractionation of soil inorganic phosphate by a modification of Chang and Jackson’s procedure. Soil Sci Soc Am J. 1967;31:736–739. [Google Scholar]
  87. Winland RL, Traina SJ, Bigham JM. Chemical composition of ochreous precipitates from Ohio coal mine drainage. J Environ Qual. 1991;20:452–460. [Google Scholar]
  88. Wray DS. The impact of unconfined mine tailings and anthropogenic pollution on a semi-arid environment- an initial study of the Rodalquilar mining district, south east Spain. Environ Geochem Hlth. 1998;20:29–38. [Google Scholar]
  89. Zaw M, Szymczak R, Twining J. Application of synchrotron radiation technique to analysis of environmental samples. Nucl Instrum Meth B. 2002;190:856–859. [Google Scholar]
  90. Zhao JM, Huggins FE, Feng Z, Huffman GP. Ferrihydrite - Surface-structure and its effects on phase transformation. Clays Clay Min. 1994;42:737–746. [Google Scholar]

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