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Article

Governing Constraints of Chromium(VI) Formation from Chromium(III)-Bearing Minerals in Soils and Sediments

1
Earth System Science Department, Stanford University, Stanford, CA 94305, USA
2
Civil and Environmental Engineering Department, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
*
Author to whom correspondence should be addressed.
Soil Syst. 2019, 3(4), 74; https://doi.org/10.3390/soilsystems3040074
Submission received: 3 October 2019 / Revised: 6 November 2019 / Accepted: 7 November 2019 / Published: 13 November 2019

Abstract

:
The potential for geogenic Cr(VI) contamination is vast, yet it is difficult to predict susceptible environments as groundwater Cr(VI) concentrations vary significantly, even within a given aquifer, due to physical and hydrologic heterogeneity. The physical structure of soils and sediments exerts a dominant control on Cr(VI) production by dictating the separation distance of reactive phases, the diffusion distance from Cr(VI) generation sites to advecting groundwater, and by influencing infiltration rates and porewater velocity. Here, we used a dual-pore domain model to investigate the relative control of these parameters on Cr(VI) production. The reaction distance between Cr(III)-bearing minerals and Mn oxides predominantly controls Cr(VI) export to advecting groundwater, while changes in diffusion distance between sites of Cr(VI) generation and advective flow channels generally have little impact on steady-state Cr(VI) concentrations. Changes in Cr(VI) diffusion distance can, however, increase the time required for groundwater Cr(VI) concentrations to reach a steady-state; thus, under fluctuating hydrologic and biogeochemical conditions, long diffusion distances still have the potential to suppress Cr(VI) supply to advecting water. Furthermore, we show that high porewater flow velocities effectively dilute Cr(VI) diffusing from soil/sediment aggregates, thus minimizing Cr(VI) concentrations relative to lower porewater velocities. The strong control that the physical/hydrologic parameters exert on Cr(VI) production appears to overwhelm the impact of Cr(III)-mineral solubility within soils and sediments.

1. Introduction

Hexavalent chromium concentrations exceeding recommended drinking water limits have increasingly been found in aquifers devoid of industrial or other anthropogenic sources [1,2,3,4,5,6,7,8,9]. In fact, naturally-occurring Cr(VI) groundwater concentrations of over 60 μg L−1 have been reported [1,3,4,6]. Given the wide-distribution of Cr(III)-bearing mineral phases that reside in ultramafic igneous rocks such as peridotites and dunites, their metamorphic derivatives such as serpentinites, and associated soils [10,11], the growing prevalence of Cr(VI) generated from geogenic sources is of concern, predominantly in regions throughout the circum-Pacific and Mediterranean regions [10,11].
In these ultramafic igneous rocks and their metamorphic derivatives, primarily found along convergent margins, Cr resides in low solubility minerals (e.g., chromite, Cr-silicates, and Cr-magnetite) [11,12]. Chromium, along with Fe and Mn, are preferentially concentrated and repartitioned during weathering [13,14,15], with Cr(III) concentrations ranging from 200 mg kg−1 up to 6 wt.% in soils in more highly weathered, tropical regions [10]. While Cr(III) remains in low solubility primary minerals, especially in temperate climates, secondary alteration minerals (including aluminosilicate clays, Cr/Fe (hydr)oxides, and various phosphates) concentrate along advective flow channels that transect saprolite and soil [13,16,17]. Similarly, Mn is released from ultramafic rocks where it is hosted in primary minerals such as olivine, pyroxene, and garnet. As divalent manganese (Mn2+) is the most stable oxidation state for Mn during magmatic processes, Mn readily substitutes for Fe2+ and Mg2+ in minerals due to the comparable ionic radius of Mn2+ [18]. Manganese is therefore partitioned into ferromagnesian silicates and Fe–Ti oxides, becoming enriched in these Cr-rich ultramafic igneous rocks. During weathering, this Mn may then be repartitioned as Mn(III/IV) oxides along advective flow channels [13].
The wide-distribution of Cr(III)-bearing minerals has the potential to result in similarly distributed Cr(VI) contamination of groundwater. Spatial variation in dissolved Cr(VI) concentrations is extensive, however, and a simple link between solid-phase Cr(III) concentrations in parent rock or weathering products and aqueous Cr(VI) concentrations is absent. Rather, groundwater Cr(VI) concentrations likely depend on a complex interplay of the Cr(III) host phase(s), distribution of Mn(III/IV) oxides, soil/sediment structure, and hydrology.
Generation of Cr(VI) from geogenic Cr(III) sources is generally dependent on the reaction of two solids of limited solubility: Cr(III)- and Mn(III/IV)-bearing minerals. Soils and sediments have a complex flow network that is composed of small pores (micropores) where diffusion dominates, and may intersect large pores (macropores) where advection dominates. Given that soils and sediments essentially have fixed structures over short time-periods, the distance between these two low solubility phases is likely to have a central control on Cr(VI) production. Although both Cr(III)-bearing minerals and Mn(III/IV) oxides have limited solubilities, the rate of Cr(VI) generation depends on dissolved Cr(III) concentrations [11,19,20]. Thus, the solubility of the Cr(III)-bearing mineral phases may additionally influence diffusion gradients and thereby the subsequent reaction rates with Mn oxide. Mills et al. [21], for example, posited that decreases in soil pH resulted in increased Cr(III) desorption from cation exchange sites and enhanced Cr(VI) production. Furthermore, if Cr(VI) is generated within a micropore, the distance between the location of generation and advecting porewater may influence groundwater concentrations. Additionally, the rate of Cr(VI) diffusive flux into macropores relative to the volume of advecting water will influence groundwater Cr(VI) concentrations. Indeed, groundwater recharge has been linked with variation in aqueous Cr(VI) concentrations within aquifers, where Manning et al. [22] showed that the origin and age of groundwater impacted Cr(VI) concentrations. Increases in aquifer infiltration rates effectively dilute eluting Cr(VI) and suppress aqueous Cr(VI) concentrations, while slower infiltration allows Cr(VI) within diffusive domains to equilibrate more extensively with advecting water.
Ultimately, as depicted in Figure 1, Cr(VI) groundwater concentrations are constrained by (1) Cr(III) dissolution rates; (2) the reactive distance between Cr and Mn oxides; (3) the solubility of Cr(III)-bearing mineral phases; (4) the diffusive distance of the generation sites to advective flow channels; and (5) the porewater velocity of infiltrating groundwater. The contribution of each factor/process in controlling groundwater and their coupling, however, remains elusive. Accordingly, here we develop a reactive transport model to investigate the extent to which Cr(VI) generated within soils and sediments is available for export into groundwater. We used a 1D dual domain model with three Cr(III)-bearing minerals of differing solubilities at various distances from reactive Mn oxide phases and advective flow channels to constrain the relative impacts of different factors on Cr(VI) transport. Our findings suggest that within the fixed structure of soils and sediments, the separation distance between Cr(III) and Mn(III/IV) phases, together with groundwater flow velocity, primarily control Cr(VI) production. Chromium(III) mineral solubility influences oxidation rates to a minimal extent given the smaller-range of solubilities predicted for primary Cr(III) host phases. While the diffusion distance between Cr(VI) generation locales and advective flow channels has no impact on steady-state Cr(VI) concentrations, long-diffusion distances could suppress Cr(VI) concentrations in aquifers with short-term fluctuations in groundwater flow as Cr(VI) concentrations may never reach a steady-state.

2. Materials and Methods

2.1. Conceptual Framework

Our conceptual model (Figure 1) represents the generation of hexavalent chromium within the aggregated structure of saturated soils/sediments and the subsequent diffusion of Cr(VI) into the surrounding porewater. Within the aggregate, a Cr(III)-bearing mineral is separated from a manganese oxide mineral by a given distance (drxn). Initially, there is no dissolved Cr in the system. As Cr(III)-mineral dissolution proceeds, the dissolved Cr(III) concentrations reach a steady-state value controlled by the mineral solubility (Ksp). Once aqueous Cr(III) has diffused across the separation distance to reach the Mn oxide surface, we assume rapid oxidation to Cr(VI). The newly generated Cr(VI) then diffuses a distance (ddiff) to the advective porewater channel, where the water moves at a given velocity (v). This model assumes the generation of Cr(VI) will continue indefinitely with no surface passivation of Mn oxides (MnO2). Using these assumptions, the flux of Cr(III) to the MnO2 surface is equivalent to the flux of Cr(VI) production at the location of oxidation. This flux is calculated using Fick’s first-law and depends on the solubility of the Cr(III)-bearing mineral and the separation distance between the Cr(III)-mineral and the MnO2. This conceptual framework was used to explore the effect of Cr(III)-mineral solubility and physical heterogeneity on Cr(VI) concentrations by varying Ksp, drxn, ddiff, and v.

2.2. Model Implementation

We implemented the model using the 1D dual-domain functionality of PHREEQC [23]. The generation of Cr(VI) occurs within the immobile zone of the aggregate while the mobile zone represents the advecting porewater. The immobile and mobile zones exchange via diffusive transport. The equation describing the dual-domain system is:
d C m d t + d C i m d t = D C r ( V I ) d 2 C m d x 2 v d C m d x
where C m and C i m represent the molar dissolved Cr(VI) concentration in the mobile and immobile domains, respectively. D C r ( V I ) is the diffusion coefficient for Cr(VI) [mole m−2 s−1] and v [m s−1] is the porewater velocity through the mobile domain.
The diffusive first-order exchange between mobile and immobile cells is described as:
d C i m d t = α ( c m c i m ) + J
J = D o d C d x
α = D C r ( V I ) ( a · f s 1 ) 2
where C i m is the average Cr(VI) concentration (in mol L−1) in the immobile zone. The diffusive flux of Cr(VI) generated within the immobile domain (J) depends on Cr(III)-mineral solubility and separation between reactive Cr and Mn phases as described below (Equations (6) and (7)). The exchange factor α , or mass transfer coefficient (s−1), is related to the contact surface between the mobile and immobile domains [24]. We used a shape factor ( f s 1 ) of 0.533 as given by Van Genuchten [24] and the PHREEQC manual [23] (Table 1, p. 53) for a plane sheet geometry of the immobile zone. The length of the immobile zone, or the effective diffusion distance (ddiff) between the Cr(VI) generation site and the advective zone is represented as the thickness of the sheet (2 a ). The advective-diffusive domain is modeled with 40 mobile domain cells, each of which exchanges with one immobile domain cell of equal volume. All cells are given an identical initial solution and exchange factor, and a porosity of 1 was used for all cells to simulate saturated flow. The total length of the 1D flow domain was 1 cm. We used Cr(VI) concentrations calculated at the last mobile cell to represent the porewater concentration of Cr(VI) transported from generation sites throughout the diffusion-controlled soil aggregates.
In order to represent the upper limit of Cr(VI) production, a Cr(VI) flux (J) is calculated from Fick’s first law, assuming a constant flux is achieved at the reaction site, and input into the immobile cells from the following equation:
C i m = J · A · t
C i m = D C r ( I I I ) · Δ C Δ x · A · t
C i m = D C r ( I I I ) · C C r ( I I I ) e q d r x n · A · t
and C C r ( I I I ) e q is calculated from the solubility ( K s p ) of a range of Cr(III)-bearing minerals. The concentration gradient Δ C across the reactive separation distance is approximately equivalent to C C r ( I I I ) e q as the concentration of Cr(III) at the MnO2 surface is assumed to be effectively depleted (10−15 M) due to the efficiency of oxidation to Cr(VI) by MnO2. The cross-sectional area of the reactive site, A [m2], is assumed to be 1. The simulation time is represented as t [s].

2.3. Constraining Factors of Cr(VI) Release

Using the described dual-domain model, we examined the effect of K s p , drxn, ddiff, and v on Cr(VI) concentration in the advecting porewater. The range of values examined for each variable are listed in Table 1 and Table 2.

3. Results and Discussion

Using the reactive transport model based on the processes described in Figure 1 and parameters in Table 1 and Table 2, we explored the central controls on Cr(VI) generation from Cr(III) minerals. We evaluated the constraints of each of five parameters (Cr(III) mineral solubility (Ksp), pH, separation distance between reactive phases (drxn), distance from Cr(VI) production sites to advective flow channels (ddiff), and porewater velocity (v)) on Cr(VI) concentrations in advecting water.

3.1. Chromium(III)-Mineral Dissolution Rates and Subsequent Oxidation Kinetics

We first determined whether diffusive transport between Cr(III) solids and Mn oxides or reaction kinetics (i.e., Cr(III)-mineral dissolution rates together with subsequent oxidation by Mn oxides) will be rate controlling. To this end, we compared the maximum diffusive flux considered in our model (FeCr2O4 at pH = 5; drxn = 0.1 nm) with an experimentally derived rate of chromite oxidation by Mn oxide [11]. Using a Mn oxide particle size of 1 µ m, the maximum calculated diffusive flux of 0.02 nmol h−1 was several orders of magnitude less than the experimentally observed rate of 11 nmol h−1 [11]. We therefore assumed that our system will be diffusion limited over all solubilities and separation distances studied, even using conservative Cr-mineral dissolution and subsequent Cr(III) oxidation rates.

3.2. Variable Effects of Cr(III) Mineral Solubility on Cr Oxidation

We explored the potential for Cr(VI) generation over a range of Cr(III)-bearing minerals including chromium-hydroxide (Cr(OH)3), chromium oxide (Cr2O3), and chromite (FeCr2O4) (Table 2).
Aqueous Cr(III) concentrations, using the solubilities of these three minerals, were calculated for four different pH values from pH 5 to pH 9 (assuming an Fe(II) concentration ranging from 0.01 to 100 μM depending on pH) (Table 3). Chromite had the largest range of solubility over the pH range investigated, while Cr(OH)3 was slightly more soluble than Cr2O3 for any given pH (Table 3). While aqueous Cr(III) concentrations predicted in equilibrium with Cr(OH)3-minerals remained similar between pH of 7.6 and pH 9, aqueous Cr(III) concentrations predicted from chromite dropped significantly over the same range (Table 3), a trend reflected in the Cr(VI) concentrations (Figure 2).
To investigate Cr(VI) production from different Cr(III)-bearing minerals, we used a physical setting where a Cr(III) source was located 1 μm from Mn oxides (drxn = 1 μm) and 1 mm from advecting porewater (ddiff = 1 mm; with a porewater velocity (v) of 0.1 m d−1). Although the mass of Cr minerals within aquifers can impact the extent of Cr oxidation, differences in solubility between minerals control Cr(VI) production. As diffusive flux of Cr(III) scales with solubility, the concentration gradient established by the Cr(III) solid is the determinant of the reaction rate. For the minerals and pH values tested, differences in solubility and resulting impacts on groundwater Cr(VI) concentrations were greatest under acidic conditions. At low pH values <6, chromite yielded Cr(VI) concentrations several orders of magnitude higher than either Cr(OH)3 or Cr2O3 (Figure 2A); under more alkaline conditions, however, chromite yielded significantly less Cr(VI), and the Cr(VI) levels generated by chromium oxide fell between the two other minerals (Figure 2B,C). In well-mixed batch experiments reacting Cr(OH)3 with δ-MnO2, Pan et al. [20] found higher pH values ultimately resulted in greater Cr(VI) concentrations despite slower oxidation kinetics, attributing it as likely to be the result of Mn dynamics (e.g., increased oxidation of Mn(II)). Unlike Cr(VI) resulting from the chromium (hydr)oxide phases, Cr(VI) production from chromite at alkaline conditions likely continues to decrease with increasing pH as a result of Fe(II) dynamics that influence chromite solubility.
Extensive hydrolytic weathering of ultramafic rocks in tropical climate regimes leads to the formation of deep lateritic soils depleted in Ca, Mg, and Si, but enriched in Cr, Mn, and Fe as well as Ni, Co, and V [10,16,25,26]. Within ultramafic bedrock, Cr originates in Cr(III)-bearing spinel minerals (e.g., chromite and magnetite), but weathers into secondary minerals (predominantly Cr-hydroxides and Cr-substituted Fe oxides). Studies from a lateritic profile in Niquelândia, Brazil found most of the chromium (~50–85%) within well crystalized Fe oxides [27]. The soil pH in these well-weathered tropical profiles is acidic, allowing the oxidation reaction to proceed to a greater extent before Mn oxide surface passivation by Cr(OH)3 precipitates [11,26,28]. The wider range of mineral solubility seen at low pH values representative of tropical soils suggests that differences in Cr(III) mineral solubility may control Cr(VI) concentrations produced from these lateritic profiles spanning Brazil to Madagascar (Table 3; Figure 2) [16,26], depending on the physical constraints (mineral separation distance, distance to advective flow channels, and advective flow rate) of the environment as described below. Contrary to the focus on Cr(III) weathering products (e.g., Cr(OH)3) within well-developed soils, at low pH values, the higher solubility of chromite suggests that primary minerals could control Cr(VI) concentrations within these systems. The contribution of chromite to dissolved Cr(III) concentrations is consistent with chromite grains exhibiting weathering features including irregular morphology and cracks with associated Fe-oxide filled pores [29].
Weathering of ultramafic rocks in Mediterranean climates (e.g., California Coast Range and Central Valley) yields soils with modest iron oxide content and alkaline pH. With an increase in pH above 8 (e.g., California Sacramento Valley) [21,30], secondary weathering products become more soluble than primary minerals like chromite, especially in the presence of high bicarbonate concentrations [31]. If chromite remains a dominate source of Cr(III), increasing pH values from pH 7.6 to pH 9 diminishes Cr(III) concentrations and concomitant Cr(VI) concentrations by an order of magnitude.

3.3. Influence of Separation Distance on Cr(VI)

Our model revealed that the separation distance (drxn) between Cr(III)-bearing mineral phases and Mn oxides (Figure 1) had a prominent control on steady-state Cr(VI) concentrations within the advecting porewater (Figure 3). Cr(VI) production from a Cr(OH)3-mineral located 1 mm from advecting porewater (pH 7.6, v = 0.1 m d−1) was calculated over a range of separation distances (0.1 nm to 1 cm). Cr(VI) concentrations within the advecting porewater reached a steady-state within a few pore volumes eluted (Figure 3A). Over the range of Cr(III)-mineral solubilities within this study, the Cr(VI) steady-state concentrations exhibited a log–log linear dependence on separation distance between Mn and Cr phases (Figure 3B).
As the diffusive flux of Cr(III) scales with both solubility and Cr(III) diffusion distance (drxn), decreasing the separation distance between Cr(III)-bearing mineral phases and Mn oxides had the same effect on Cr(VI) production as increasing the solubility of the Cr mineral phase. However, while Cr(VI) concentrations varied log–log linearly with both separation distance (drxn) and mineral solubility, the range in solubility of Cr(III) minerals was much smaller than the range of possible separation distances. For example, over the pH range of 5 to 9, the maximum difference in solubility between one of the most soluble Cr-minerals, Cr-hydroxide (Cr(OH)3), and least soluble minerals, chromite (FeCr2O4), was only over one order of magnitude. In contrast, the range of separation distances between the two reaction phases may range by many orders of magnitude, from nanometers to centimeters [13,26]. For aquifers with groundwater pH values near neutrality to slightly alkaline, the differences in separation distance between Cr and Mn phases will overwhelm the influence of mineral solubility. For changes in mineral separation distances just over one order of magnitude, mineral solubility ceases to exert a control on Cr(VI) concentrations. Given that even an increase in separation distances of a few nanometers may change Cr(VI) concentrations more than the difference in mineral solubility, any prediction of Cr(VI) concentrations based on solubility would likely be misleading without information of the spatial distribution among the reactive mineral phases.
In poorly weathered mafic and ultramafic rock strata, dissolution of primary minerals releases Mn(II), allowing Mn oxides to subsequently precipitate along advective flow channels upon contact with oxic groundwater. The Mn(III/IV) minerals coat the rock surfaces [32] and often collocate with Cr(III)-bearing spinel and silicate minerals [30]. For environments where the Mn oxides are distributed proximal to advective flow channels, the separation distance between these Mn phases and Cr(III)-bearing mineral phases would be the best predictor of Cr(VI) production. Porewater velocity would also determine the magnitude of steady-state Cr(VI) concentrations.

3.4. Diffusion Distance Controls Time to a Steady-State

The diffusion distance through soil micropores within soil aggregates (or peds) or saprolite from Cr(VI) generation sites to advecting porewater (ddiff) (Figure 1) has a time-dependent influence on Cr(VI) concentrations in advecting water; it does not influence the maximum Cr(VI) concentrations that would result in advecting porewater if the system were to reach a steady-state (Figure 4B). The diffusion distance can, however, significantly impact the time required to reach maximum (steady-state) concentrations. For example, if a Cr(OH)3 particle is 1 μm away from a Mn oxide surface (drxn = 1 μm), and together these minerals are 1 mm away from an advecting channel (ddiff = 1 mm) with a porewater velocity of 0.1 m d−1, Cr(VI) concentrations will reach a maximum (steady-state) within a day (21 h specifically). Increasing the distance between the oxidation site and advective flow channels by an order of magnitude (ddiff = 10 mm) approximately doubles the time to reach a steady state (39 h). As diffusion distance is further increased to 50 mm, maximum Cr(VI) concentrations are not reached until after 19 days. If Cr(III)-bearing minerals co-locate with Mn oxides 100 mm from an advective flow channel, it would take approximately three months to reach a steady-state (2044 h) (Figure 4A). Typical residence times given the flow velocities used for the study (0.01 to 1 m d−1) range from 18 to 1800 days (assuming vertical thickness of an aquifer (h = 60 m) and porosity (0.3)).
As Mn oxides form at weathering fronts or at anoxic–oxic interfaces, there is an ever-changing landscape of Cr and Mn assemblages. Mn oxides often coat advective boundaries, particularly in fracture rock such as saprolite where an influx of oxygenated water oxidizes Mn(II) catalyzed by mineral surfaces and Mn-oxidizing bacteria [33,34]. As described in Hausladen and Fendorf [35], studies conducted with synthetic aggregates show that in oxic waters with an influx of Mn(II), most biogenic Mn oxides precipitate within ca. 4.5 mm of the advective flow channel. In aquifers impacted by groundwater pumping, water level fluctuations can occur on the order of days and weeks and are of large magnitude (9–25 m) [30,32,36]. If Cr(VI) generation sites are within a few centimeters of advective flow channels, steady-state Cr(VI) concentrations should be reached within several days (assuming porewater velocity around 0.1 m d−1); if Cr(VI) generation sites lie further away from advective flow channels, however, groundwater flow conditions would likely change before steady-state Cr(VI) concentrations were reached in aquifers with high hydraulic conductivity or in systems impacted by land runoff or groundwater pumping. In these systems, it is unlikely that Cr(VI) generated more than 50 mm from advection flow channels will reach steady-state concentrations, thus resulting in suppressed Cr(VI) exported from these Cr generation sites within aggregate interiors.
In environments where Mn oxides are precipitated distal to the advective flow domain, Cr(VI) concentrations will generally be limited except for low flow velocities. Consistent with our predictions, observations in the Anthemountas Basin of Greece showed that the highest Cr(VI) groundwater concentrations correlated with regions of low groundwater velocities [32]. Additional studies showed a direct correlation between Cr(VI) concentrations and the finest grained sections of alluvial deposits [1].

3.5. Hydrologic Constraints on Cr(VI) Concentrations

Porewater velocities varied widely with values ranging as low as 10−5 to several meters per day and could alter steady-state Cr(VI) concentrations (Figure 5) [32]. As porewater velocities increase, Cr(VI) produced within, and diffusing out of, immobile domains will be increasingly diluted by advecting water, decreasing Cr(VI) groundwater concentrations. For each order of magnitude increase in porewater velocity, Cr(VI) concentrations decrease an order of magnitude across all separation distances (Figure 5B). However, as higher flow rates have a bigger impact on the diffusive gradient, steady-state values are reached more slowly at these increased porewater velocities. When separation distance between Cr(OH)3 and Mn(IV/III) phases (drxn) and diffusion distance (ddiff) were fixed at 1 μm and 1 mm, respectively, steady-state Cr(VI) concentrations in porewater were reached at 20.2, 8.4, and 4.3 pore volumes eluted with a porewater velocity of 0.01, 0.1, and 1 m d−1, respectively (Figure 5A).
Together, our analysis helps resolve the seemingly conflicting observations of field observations that show that both higher recharge rates and older groundwater correlate with high Cr(VI) concentrations [4,22]. We suggest that in the recharge zone, increased groundwater velocities are important as they increase the supply of aqueous Mn(II) (from rising groundwater levels) and dissolved oxygen, which can continuously regenerate Mn oxides, especially those in contact with Cr-minerals that are the first to undergo reactive dissolution. This minimizes separation distances (drxn) and optimizes Cr(VI) production, in addition to increasing Cr(VI) flux from the vadose zone, finally concentrating it within aquifers. The accumulation of Cr(VI) is compounded when it ends up in fine-grained aquifers where slow groundwater flow will allow for maximum Cr(VI) concentrations, explaining the link between groundwater age and enhanced Cr(VI) production. In these systems, low porewater velocity results in shallow concentration gradients, allowing for older, slow moving groundwater to yield maximum Cr(VI) concentrations.
Notably, there are additional environmental processes that were not considered in this study. For example, surface passivation of Mn oxide surfaces has been observed experimentally to limit Cr(VI) production [37,38,39], while this model assumes the generation of Cr(VI) will continue indefinitely. Although the rate and extent of Mn surface passivation will depend on a wide range of physico-chemical parameters (e.g., aqueous Mn(II) concentrations, pH, carbonate), it is not expected to vary based on the inputs of this model. While the Cr(VI) generation predicted by this model should be interpreted in light of this limitation, the evaluation of the relative importance of the different reaction parameters would remain unchanged. In addition, the selection of Cr(III)-bearing mineral phases to explore the variable effects of mineral solubility on Cr oxidation is limited by available thermodynamic data. Chromite and Cr(OH)3, an amorphous phase resulting from the dissolution of a Cr(III)-bearing mineral, likely approximate the range of Cr(III)-bearing mineral solubilities; however, a Cr(III)-bearing silicate phase such as Cr-bearing serpentine or chlorite would be more environmentally relevant than Cr2O3 if the appropriate equilibrium constants were available.
While laboratory studies have investigated how differences in mineral solubility control Cr(VI) generation without contact with reactive Mn oxides [19], to our knowledge there have been no experimental studies to investigate the relative impact of diffusion distance and solubility. This is likely to be due to experimental difficulties associated with designing and measuring nano- to microscale systems. We therefore used a modeling approach in this study, however, with advancements in microfluidics, this could be a valuable avenue for future experimental research.

4. Conclusions

Independent of chemical processes, the physical structure of soils and sediments constrains the processes governing groundwater Cr(VI) concentrations (Figure 1). The five process-steps leading to observed Cr(VI) concentrations can each exert a control on groundwater concentrations, although the diffusion distance of Cr(VI) from the location of generation to the advecting porewater (step 4) only influences the time to reach maximum steady-state concentrations. Separation distance between the Cr(III)-bearing mineral and Mn oxide (step 2) together with porewater velocity (and subsequent dilution, step 5) lead to the greatest range in Cr(VI) concentrations (Figure 3 and Figure 5). At small separation distances between Cr(III)-bearing minerals and Mn oxides, Cr(III) dissolution (step 1) has a principal control on Cr(VI) concentrations in advecting waters. Thus, in poorly weathered mafic and ultramafic rock strata, dissolution of primary minerals such as olivine and pyroxene may release Mn(II), allowing Mn oxides to subsequently precipitate along advective flow channels upon contact with oxic groundwater [40]. These Mn(III/IV) minerals coat the rock surfaces [32] and often collocate with Cr(III)-bearing spinel and silicate minerals [30]. For environments where the Mn oxides are distributed proximal to advective flow channels, the separation distance between these Mn phases and Cr(III)-bearing mineral phases would be the best predictor of Cr(VI) production. Porewater velocity would also determine the magnitude of steady-state Cr(VI) concentrations.
It is also important to note that similar Cr(VI) concentrations can be attributed to a wide-range of physicogeochemical conditions. For example, Cr(OH)3 in a sediment at pH 9 (resulting in aqueous Cr(III) concentrations of Co = 10−6.84 M) residing an average distance (drxn) of 1 μm from Mn oxide surfaces exhibits the same Cr(VI) release profile across all diffusion distances (Figure 6A) as a more poorly soluble FeCr2O4 mineral (corresponding to Co = 10−7.80 M) located an order of magnitude closer to Mn oxides (i.e., 0.11 μm away; assuming a constant porewater velocity (v) of 0.1 m d−1 for both minerals) (Figure 6B). As illustrated in Figure 6 (panel C), the lower solubility FeCr2O4 mineral can reach identical Cr(VI) steady-state concentrations observed from Cr(OH)3 even at equal separation distances of 0.1 μm if porewater velocities are slowed from 0.1 to 0.011 m d−1. Indeed, the advective flow rate will always control Cr(VI) concentrations with the highest concentrations occurring under low porewater velocities. Chromium(VI) release from sites 1 to 10 mm away from flow channels were nearly identical for all pore volumes eluted, and significant Cr(VI) release was even seen for Cr(VI) production sites 10 cm from advective channels (Figure 6C). If a steady-state is reached, the diffusion distance between Cr(VI) generation sites and advective flow channels (ddiff) will never affect the steady-state Cr(VI) concentrations. However, large diffusion distances between generation sites and advective flow channels may effectively suppress Cr(VI) release in environments with rapidly changing flow regimes.
Our results highlight the importance of physical and hydrologic parameters on endemic Cr(VI) production within aquifers. The development of Cr(III) and Mn(III/IV) mineral separation distance along with porewater flow velocities predominately control the dissolved concentrations of Cr(VI) within alkaline groundwater having minimal anoxia. Variation in mineral solubility and surface reactivity have negligible effects on resulting Cr(VI) levels. For neutral to acidic waters, Cr(VI) adsorption may have an important, but, in the present study, undetermined, role in resulting groundwater contamination. Anaerobic conditions including microsites will likely further have pronounced influences on Cr(VI) levels [35], but were not considered in the present simulation. Our results therefore represent likely processes controlling Cr(VI) concentrations in groundwater for aerobic, alkaline environments. Future work should explore the quantitative impacts of Cr(VI) adsorption and reduction (resulting from anaerobic zones) on groundwater Cr(VI) concentrations.

Author Contributions

Conceptualization, D.H. and S.F. (Scott Fendorf); Methodology, S.F. (Sarah Fakhreddine) and D.H.; Validation, D.H. and S.F. (Sarah Fakhreddine); Formal analysis, D.H.; Investigation, D.H. and S.F. (Sarah Fakhreddine); Resources, S.F. (Scott Fendorf); Writing—original draft preparation, D.H.; Writing—review and editing, D.H., S.F. (Sarah Fakhreddine), and S.F. (Scott Fendorf); Visualization, D.H. and S.F. (Sarah Fakhreddine); Supervision, S.F. (Scott Fendorf); Project administration, S.F. (Scott Fendorf); Funding acquisition, S.F. (Scott Fendorf).

Funding

We appreciate the funding support provided by the US Department of Energy (DOE) Office of Science, Office of Biological and Environmental Research (BER) through the Subsurface Biogeochemistry Program (Award Number DE-SC0016544) and the SLAC National Accelerator Laboratory scientific focus area (SFA) (Contract No. DE-AC02-76SF00515).

Acknowledgments

The authors would like to acknowledge Kate Maher and Steve Gorelick for their helpful discussions on model development.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Robertson, F. Hexavalent Chromium in the Ground Water in Paradise Valley, Arizona. Gr. Water. 1975, 13, 516–527. [Google Scholar] [CrossRef]
  2. Chung, J.B.; Burau, R.G.; Zasoski, R.J. Chromate Generation by Chromate Depleted Subsurface Materials. Water Air Soil Pollut. 2001, 128, 407–417. [Google Scholar] [CrossRef]
  3. Ball, J.W.; Izbicki, J.A. Occurrence of hexavalent chromium in ground water in the western Mojave Desert, California. Appl. Geochem. 2004, 19, 1123–1135. [Google Scholar] [CrossRef]
  4. Izbicki, J.A.; Ball, J.W.; Bullen, T.D.; Sutley, S.J. Chromium, chromium isotopes and selected trace elements, western Mojave Desert, USA. Appl. Geochem. 2008, 23, 1325–1352. [Google Scholar] [CrossRef]
  5. Morrison, J.M.; Goldhaber, M.B.; Lee, L.; Holloway, J.M.; Wanty, R.B.; Wolf, R.E.; Ranville, J.F. A regional–scale study of chromium and nickel in soils of northern California, USA. Appl. Geochem. 2009, 24, 1500–1511. [Google Scholar] [CrossRef]
  6. Izbicki, J.A.; Bullen, T.D.; Martin, P.; Schroth, B. Delta Chromium-53/52 isotopic composition of native and contaminated groundwater, Mojave Desert, USA. Appl. Geochem. 2012, 27, 841–853. [Google Scholar] [CrossRef]
  7. Izbicki, J.A.; Wright, M.T.; Seymour, W.A.; McCleskey, R.B.; Fram, M.S.; Belitz, K.; Esser, B.K. Cr(VI) occurrence and geochemistry in water from public-supply wells in California. Appl. Geochem. 2015, 63, 203–217. [Google Scholar] [CrossRef]
  8. Hausladen, D.M.; Alexander-Ozinskas, A.; McClain, C.; Fendorf, S. Hexavalent Chromium Sources and Distribution in California Groundwater. Environ. Sci. Technol. 2018, 52, 8242–8251. [Google Scholar] [CrossRef]
  9. Who | Chemical Hazards in Drinking–Water: Chromium. Available online: http://www.who.int/water_sanitation_health/water-quality/guidelines/chemicals/chromium/en/ (accessed on 4 November 2019).
  10. Oze, C.; Fendorf, S.; Bird, D.K.; Coleman, R.G. Chromium Geochemistry of Serpentine Soils. Int. Geol. Rev. 2004, 46, 97–126. [Google Scholar] [CrossRef]
  11. Oze, C.; Bird, D.K.; Fendorf, S. Genesis of hexavalent chromium from natural sources in soil and groundwater. Proc. Natl. Acad. Sci. USA 2007, 104, 6544–6549. [Google Scholar] [CrossRef]
  12. Nriagu, J.O.; Nieboer, E. Chromium in the Natural and Human Environments; John Wiley & Sons: Hoboken, NJ, USA, 1988; ISBN 978-0-471-85643-6. [Google Scholar]
  13. Fandeur, D.; Juillot, F.; Morin, G.; Olivi, L.; Cognigni, A.; Webb, S.M.; Ambrosi, J.-P.; Fritsch, E.; Guyot, F.; Brown, J.; et al. XANES Evidence for Oxidation of Cr(III) to Cr(VI) by Mn-Oxides in a Lateritic Regolith Developed on Serpentinized Ultramafic Rocks of New Caledonia. Environ. Sci. Technol. 2009, 43, 7384–7390. [Google Scholar] [CrossRef]
  14. Lee, B.D.; Graham, R.C.; Laurent, T.E.; Amrhein, C. Pedogenesis in a wetland meadow and surrounding serpentinitic landslide terrain, northern California, USA. Geoderma 2004, 118, 303–320. [Google Scholar] [CrossRef]
  15. Caillaud, J.; Proust, D.; Philippe, S.; Fontaine, C.; Fialin, M. Trace metals distribution from a serpentinite weathering at the scales of the weathering profile and its related weathering microsystems and clay minerals. Geoderma 2009, 149, 199–208. [Google Scholar] [CrossRef]
  16. Berger, A.; Frei, R. The fate of chromium during tropical weathering: A laterite profile from central madagascar. Geoderma 2014, 213, 521–532. [Google Scholar] [CrossRef]
  17. Becquer, T.; Quantin, C.; Sicot, M.; Boudot, J.P. Chromium availability in ultramafic soils from new caledonia. Sci. Total Environ. 2003, 301, 251–261. [Google Scholar] [CrossRef]
  18. Ure, A.M.; Berrow, M.L. The elemental constituents of soil. Int. Environ. Chem. 1982, 2, 94–204. [Google Scholar]
  19. Pan, C.; Liu, H.; Catalano, J.G.; Qian, A.; Wang, Z.; Giammar, D.E. Rates of Cr(VI) generation from CrxFe1−x(OH)3 solids upon reaction with manganese oxide. Environ. Sci. Technol. 2017, 51, 12416–12423. [Google Scholar] [CrossRef]
  20. Pan, C.; Liu, H.; Catalano, J.G.; Wang, Z.; Qian, A.; Giammar, D.E. Understanding the roles of dissolution and diffusion in Cr(OH)3 oxidation by -MnO2. ACS Earth Space Chem. 2019, 3, 357–365. [Google Scholar] [CrossRef]
  21. Mills, C.T.; Morrison, J.M.; Goldhaber, M.B.; Ellefsen, K.J. Chromium(VI) generation in vadose zone soils and alluvial sediments of the southwestern Sacramento valley, California: A potential source of geogenic Cr(VI) to groundwater. Appl. Geochem. 2011, 26, 1488–1501. [Google Scholar] [CrossRef]
  22. Manning, A.H.; Mills, C.T.; Morrison, J.M.; Ball, L.B. Insights into controls on hexavalent chromium in groundwater provided by environmental tracers, Sacramento Valley, California, USA. Appl. Geochem. 2015, 62, 186–199. [Google Scholar] [CrossRef]
  23. Parkhurst, D.; Appelo, C. User’s guide to phreeqc (Version 2): A computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations. Water-Resour. Investig. Rep. 1999, 99, 321. [Google Scholar]
  24. Van Genuchten, M.T. General Approach for Modeling Solute Transport in Structured Soils. 1985. Available online: https://inis.iaea.org/search/searchsinglerecord.aspx?recordsFor=SingleRecord&RN=19054696 (accessed on 7 July 2019).
  25. Schwertmann, U.; Latham, M. Properties of iron oxides in some new caledonian oxisols. Geoderma 1986, 39, 105–123. [Google Scholar] [CrossRef]
  26. Garnier, J.; Quantin, C.; Guimarães, E.M.; Vantelon, D.; Montargès-Pelletier, E.; Becquer, T. Cr(VI) genesis and dynamics in ferralsols developed from ultramafic rocks: The case of Niquelândia, Brazil. Geoderma 2013, 193–194, 256–264. [Google Scholar] [CrossRef]
  27. Garnier, J.; Quantin, C.; Martins, E.S.; Becquer, T. Solid speciation and availability of chromium in ultramafic soils from niquelândia, Brazil. J. Geochem. Explor. 2006, 88, 206–209. [Google Scholar] [CrossRef]
  28. Fendorf, S.E.; Zasoski, R.J. Chromium(III) oxidation by.delta-manganese oxide (MnO2). Characterization. Environ. Sci. Technol. 1992, 26, 79–85. [Google Scholar] [CrossRef]
  29. Garnier, J.; Quantin, C.; Guimarães, E.; Becquer, T. Can chromite weathering be a source of Cr in soils. Miner. Mag. 2008, 72, 49–53. [Google Scholar] [CrossRef]
  30. McClain, C.N.; Fendorf, S.; Webb, S.M.; Maher, K. Quantifying Cr(VI) production and export from serpentine soil of the California coast range. Environ. Sci. Technol. 2017, 51, 141–149. [Google Scholar] [CrossRef]
  31. Rai, D.; Moore, D.A.; Hess, N.J.; Rosso, K.M.; Rao, L.; Heald, S.M. Chromium(III) hydroxide solubility in the aqueous K+-H+ -OH− -CO2-HCO 3 − -CO 3 2− -H2O System: A thermodynamic model. J. Solut. Chem. 2007, 36, 1261–1285. [Google Scholar] [CrossRef]
  32. Kazakis, N.; Kantiranis, N.; Voudouris, K.S.; Mitrakas, M.; Kaprara, E.; Pavlou, A. geogenic Cr oxidation on the surface of mafic minerals and the hydrogeological conditions influencing hexavalent chromium concentrations in groundwater. Sci. Total Environ. 2015, 514, 224–238. [Google Scholar] [CrossRef]
  33. Namgung, S.; Kwon, M.J.; Qafoku, N.P.; Lee, G. Cr(OH)3(s) oxidation induced by surface catalyzed Mn(II) oxidation. Environ. Sci. Technol. 2014, 48, 10760–10768. [Google Scholar] [CrossRef]
  34. Tebo, B.M.; Bargar, J.R.; Clement, B.G.; Dick, G.J.; Murray, K.J.; Parker, D.; Verity, R.; Webb, S.M. Biogenic manganese oxides: Properties and mechanisms of formation. Annu. Rev. Earth Planet. Sci. 2004, 32, 287–328. [Google Scholar] [CrossRef]
  35. Hausladen, D.M.; Fendorf, S. Hexavalent chromium generation within naturally structured soils and sediments. Environ. Sci. Technol. 2017, 51, 2058–2067. [Google Scholar] [CrossRef] [PubMed]
  36. Luhdorff and Scalmanini. Groundwater monitoring program, data management system, and update of groundwater conditions in the Yolo County area. Available online: http://www.ycfcwcd.org/pdffiles/reports/ab%20303%20gw%20final%20report%20pdf%20reduced.pdf (accessed on 3 March 2017).
  37. Ying, S.C.; Masue-Slowey, Y.; Kocar, B.D.; Griffis, S.D.; Webb, S.; Marcus, M.A.; Francis, C.A.; Fendorf, s. distributed microbially and chemically-mediated redox processes controlling arsenic dynamics within Mn-/Fe-oxide constructed aggregates. Geochim. Cosmochim. Acta 2013, 104, 29–41. [Google Scholar] [CrossRef]
  38. Tang, Y.; Zeiner, C.A.; Santelli, C.M.; Hansel, C.M. Fungal oxidative dissolution of the Mn(II)-bearing mineral rhodochrosite and the role of metabolites in manganese oxide formation: Dissolution and oxidation of rhodochrosite by fungi. Environ. Microbiol. 2013, 15, 1063–1077. [Google Scholar] [CrossRef]
  39. Fendorf, S.E.; Fendorf, M.; Sparks, D.L.; Gronsky, R. Inhibitory mechanisms of Cr(lll) oxidation by δ-MnO2. J. Colloid. Interface Sci. 1992, 153, 37–54. [Google Scholar] [CrossRef]
  40. Cloutis, E.A. Manganese-rich olivines: Identification from spectral reflectance properties. J. Geophys. Res. Planets 1997, 102, 25575–25580. [Google Scholar] [CrossRef]
Figure 1. Conceptual model representing Cr(VI) generation within dual-pore domain soils/sediments as a function of (1) Cr(III)-mineral dissolution; (2) distance between reactive phases (drxn); (3) redox reaction; (4) Cr(VI) diffusion distance (ddiff); and (5) porewater velocity (v).
Figure 1. Conceptual model representing Cr(VI) generation within dual-pore domain soils/sediments as a function of (1) Cr(III)-mineral dissolution; (2) distance between reactive phases (drxn); (3) redox reaction; (4) Cr(VI) diffusion distance (ddiff); and (5) porewater velocity (v).
Soilsystems 03 00074 g001
Figure 2. Cr(VI) concentration in the porewater channel as a function of pore volumes (PV) eluted for Cr(OH)3, Cr2O3, and FeCr2O4 at pH values of (A) pH 5 (B) pH 7.6, and (C) pH 9. Separation distance (drxn) of Cr(III) mineral and MnO2 was fixed at 1 μm, diffusion distance (ddiff) to the advective porewater channel was 1 mm, and porewater velocity (v) was 0.1 m d−1 for all cases. Chromite case assumes an Fe(II) concentration of 100, 1, and 0.01 µM for pH 5, 6, 7.6, and 9, respectively.
Figure 2. Cr(VI) concentration in the porewater channel as a function of pore volumes (PV) eluted for Cr(OH)3, Cr2O3, and FeCr2O4 at pH values of (A) pH 5 (B) pH 7.6, and (C) pH 9. Separation distance (drxn) of Cr(III) mineral and MnO2 was fixed at 1 μm, diffusion distance (ddiff) to the advective porewater channel was 1 mm, and porewater velocity (v) was 0.1 m d−1 for all cases. Chromite case assumes an Fe(II) concentration of 100, 1, and 0.01 µM for pH 5, 6, 7.6, and 9, respectively.
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Figure 3. (A) Cr(VI) concentration in the pore channel as a function of pore volumes (PV) eluted for varying separation distance between Cr(OH)3 and Mn(IV) phases. Concentrations reached a steady-state within a few pore volumes eluted. (B) Steady-state Cr(VI) concentration within the pore channel as a function of separation distance between Cr(OH)3 and Mn(IV) phases (drxn) at pH 7.6. The effective diffusion distance (ddiff) between the location of Cr(VI) generation (effectively the Mn-oxide surface) and the advective flow channel was fixed at 1 mm and velocity was fixed at 0.1 m d−1.
Figure 3. (A) Cr(VI) concentration in the pore channel as a function of pore volumes (PV) eluted for varying separation distance between Cr(OH)3 and Mn(IV) phases. Concentrations reached a steady-state within a few pore volumes eluted. (B) Steady-state Cr(VI) concentration within the pore channel as a function of separation distance between Cr(OH)3 and Mn(IV) phases (drxn) at pH 7.6. The effective diffusion distance (ddiff) between the location of Cr(VI) generation (effectively the Mn-oxide surface) and the advective flow channel was fixed at 1 mm and velocity was fixed at 0.1 m d−1.
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Figure 4. (A) Cr(VI) concentration in the advective flow channel over the six pore volumes (PV) eluted at varying diffusion distances (ddiff) (the distance from the point of Cr(VI) production and the advective flow channel). (B) Steady-state Cr(VI) concentration as a function of ddiff. The separation distance between Cr(OH)3 and Mn(VI) (drxn) and velocity (v) were fixed at 1 μm and 0.1 m d−1, respectively (pH = 7.6).
Figure 4. (A) Cr(VI) concentration in the advective flow channel over the six pore volumes (PV) eluted at varying diffusion distances (ddiff) (the distance from the point of Cr(VI) production and the advective flow channel). (B) Steady-state Cr(VI) concentration as a function of ddiff. The separation distance between Cr(OH)3 and Mn(VI) (drxn) and velocity (v) were fixed at 1 μm and 0.1 m d−1, respectively (pH = 7.6).
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Figure 5. (A) Cr(VI) concentration in advective flow channel as a function of pore volumes eluted for varying porewater velocities (v). (B) Steady-state Cr(VI) concentration as a function of v. The separation distance between Cr(OH)3 and Mn(IV) phases (drxn) and diffusion distance (ddiff) were fixed at 1 μm and 1 mm, respectively (pH = 7.6).
Figure 5. (A) Cr(VI) concentration in advective flow channel as a function of pore volumes eluted for varying porewater velocities (v). (B) Steady-state Cr(VI) concentration as a function of v. The separation distance between Cr(OH)3 and Mn(IV) phases (drxn) and diffusion distance (ddiff) were fixed at 1 μm and 1 mm, respectively (pH = 7.6).
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Figure 6. Concentrations in advecting porewater as a function of pore-volume (PV) eluted for multiple diffusion distances (ddiff) at porewater velocity (v) of 0.1 m d−1 (A,B) and 0.011 m d−1 (C). Panel (A) represents Cr(OH)3 at a pH of 9 (corresponding to Co = 10−6.84) and a separation distance (drxn) of 1 μm from MnO2. Panel (B) shows FeCr2O4 at a pH of 9 (corresponding to Co = 10−7.80) and drxn = 0.11 μm. Panel (C) represents FeCr2O4 at a pH of 9 where drxn = 0.1 μm and v = 0.011 m d−1.
Figure 6. Concentrations in advecting porewater as a function of pore-volume (PV) eluted for multiple diffusion distances (ddiff) at porewater velocity (v) of 0.1 m d−1 (A,B) and 0.011 m d−1 (C). Panel (A) represents Cr(OH)3 at a pH of 9 (corresponding to Co = 10−6.84) and a separation distance (drxn) of 1 μm from MnO2. Panel (B) shows FeCr2O4 at a pH of 9 (corresponding to Co = 10−7.80) and drxn = 0.11 μm. Panel (C) represents FeCr2O4 at a pH of 9 where drxn = 0.1 μm and v = 0.011 m d−1.
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Table 1. Model parameter values.
Table 1. Model parameter values.
Mineral PhasespHdrxn (m)ddiff (m)v (m d−1)
Cr(OH)3 (a)
Cr2O3
FeCr2O4
510−1010−610−2
610−710−310−1
7.610−610−2100
910−510−1.3
10−210−1
Table 2. Solubility range of three Cr(III)-bearing minerals.
Table 2. Solubility range of three Cr(III)-bearing minerals.
Mineral Phase log K
Cr(OH)3 (a) aCr(OH)3 + H+ = Cr(OH)2+ + H2O−0.49
Cr2O3 aCr2O3 + 2H+ + H2O = 2Cr(OH)2+−1.32
FeCr2O4 bFeCr2O4 + 4H+ = 2Cr(OH)2+ + Fe2+7.2003
a Values were calculated based on Ball and Nordstrom (1998); b log K from Minteq v4.
Table 3. Total aqueous Cr(III) concentrations calculated for the Cr(III)-bearing minerals used in this study.
Table 3. Total aqueous Cr(III) concentrations calculated for the Cr(III)-bearing minerals used in this study.
pHCr(OH)3 (a)Cr2O3FeCr2O4 *
log[Cr(III)T] (M)5−4.15−4.33−3.21
6−5.97−6.14−5.41
7.6−6.82−6.99−7.33
9−6.84−7.01−7.80
* Calculated for [Fe2+] of 100, 10, 1, and 0.01 µM for pH 5, 6, 7.6, and 9, respectively; all solubilities were calculated in Minteq v4 using log K from Table 2.

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Hausladen, D.; Fakhreddine, S.; Fendorf, S. Governing Constraints of Chromium(VI) Formation from Chromium(III)-Bearing Minerals in Soils and Sediments. Soil Syst. 2019, 3, 74. https://doi.org/10.3390/soilsystems3040074

AMA Style

Hausladen D, Fakhreddine S, Fendorf S. Governing Constraints of Chromium(VI) Formation from Chromium(III)-Bearing Minerals in Soils and Sediments. Soil Systems. 2019; 3(4):74. https://doi.org/10.3390/soilsystems3040074

Chicago/Turabian Style

Hausladen, Debra, Sarah Fakhreddine, and Scott Fendorf. 2019. "Governing Constraints of Chromium(VI) Formation from Chromium(III)-Bearing Minerals in Soils and Sediments" Soil Systems 3, no. 4: 74. https://doi.org/10.3390/soilsystems3040074

APA Style

Hausladen, D., Fakhreddine, S., & Fendorf, S. (2019). Governing Constraints of Chromium(VI) Formation from Chromium(III)-Bearing Minerals in Soils and Sediments. Soil Systems, 3(4), 74. https://doi.org/10.3390/soilsystems3040074

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