Modeling Precipitation and Sorption of Elements during Mixing of River Water and Porewater in the Coeur d'Alene River Basin

Balistrieri, Laurie S.; Box, Stephen E.; Tonkin, Jennifer W.

doi:10.1021/es0303283

Cited by 48 publications

(46 citation statements)

References 44 publications

(59 reference statements)

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“…The concentrations of heavy metals Ba, Pb, and Cd in pore water measured in this study are approximately two, six, and 36 times greater than concentrations reported by Balistrieri et al (2003). Sulfate and As concentrations are about five and 130 times lower, respectively, than those reported by Balistrieri et al (2003). Historical data (1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007) from the US Geological Survey database show a strong positive correlation in filtered and unfiltered samples (p<0.0001) between Pb and Zn and the redox active elements Fe and Mn.…”

Section: Aqueous Chemistrycontrasting

confidence: 68%

“…These data are compared to analyses reported in Balistrieri et al (2003) and are within the range of historically observed measurements from the US Geological Survey database (monitoring site 12413860 near Harrison Idaho http://nwis.waterdata.usgs.gov/id/ nwis/qw). The concentrations of heavy metals Ba, Pb, and Cd in pore water measured in this study are approximately two, six, and 36 times greater than concentrations reported by Balistrieri et al (2003). Sulfate and As concentrations are about five and 130 times lower, respectively, than those reported by Balistrieri et al (2003).…”

Section: Aqueous Chemistrymentioning

confidence: 75%

“…These two rivers contribute approximately 94% of the influent flow into LCdA (Horowitz et al 1995a). CdAR is composed of two main tributaries, the South Fork of the CdAR and its tributaries which flow through the Coeur d'Alene Mining district and the North Fork which joins the South Fork before continuing through an area of lateral lakes and deltas into LCdA (Horowitz et al 1992;Balistrieri et al 2003). The South Fork of the CdAR is of particular interest as it and its tributaries provide primary drainage for the Coeur d'Alene Mining district (Horowitz et al 1992(Horowitz et al , 1995a.…”

Section: Introductionmentioning

confidence: 99%

“…Contamination of lateral lakes adjacent to the delta (Harrington et al 1998a;Sprenke et al 2000;Bostick et al 2001), CdAR and upstream tributary contamination (Maxfield et al 1974b;Reece et al 1978;Paulson 1997;Farag et al 1998Farag et al , 2000La Force et al 1998;Balistrieri et al 2003;Box et al 2005), and downstream of LCdA (Grosbois et al 2001) have also been studied. Horowitz et al (1995a) found that the CdAR and adjacent lake sediments were the most heavily contaminated.…”

Section: Introductionmentioning

confidence: 99%

“…Remobilization may occur from any of the following processes: (1) physical entrainment of the small heavy-metal-laden particles from the upper sediment column into the river (Kalnejais et al 2007), (2) adsorption of toxic metals to metal (hydr)oxides (e.g., ferrihydrite), clays, and organic compounds (e.g., humics, fulvics, citrate) followed by transport of these bound metals in the water column (Lothenbach et al 1997;Tonkin et al 2002;Balistrieri et al 2003), and (3) reductive dissolution of mineral phases resulting in release of adsorbed or co-precipitated heavy metals (Fredrickson et al 2001;Sengör et al 2007). Additionally, micron-and smaller-scale particles are often more reactive and can be more bio-available (Oberdorster et al 2005).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Heavy Metal–Mineral Associations in Coeur d’Alene River Sediments: A Synchrotron-Based Analysis

Moberly

Borch

Sani

et al. 2008

Water Air Soil Pollut

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Nearly a century of mining activities upstream have contaminated Lake Coeur d'Alene and its tributaries with Pb, Zn, and other heavy metals. Heavy metal concentrations in sediments of the Coeur d'Alene watershed have been shown to be inversely proportional to the sediment size fraction; thus, analysis on a very small scale is essential to determine the mobility and stability of heavy metals in this environment. Micron-scale synchrotron-based methods were used to determine the association of heavy metals with solid phases in sediments of the Coeur d'Alene River. Bulk X-ray diffraction (XRD), extended X-ray absorption fine structure spectroscopy, and synchrotron-based microfocused XRD combined with microfocused X-ray fluorescence mapping indicate the presence of crystalline Pb-and

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Section: Aqueous Chemistrycontrasting

confidence: 68%

Section: Aqueous Chemistrymentioning

confidence: 75%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Heavy Metal–Mineral Associations in Coeur d’Alene River Sediments: A Synchrotron-Based Analysis

Moberly

Borch

Sani

et al. 2008

Water Air Soil Pollut

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The use of assemblage models to describe trace element partitioning, speciation, and fate: A review

Groenenberg

Lofts

2014

Enviro Toxic and Chemistry

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Article (refereed) -postprintGroenenberg, Jan E.; Lofts, Stephen. 2014. The use of assemblage models to describe trace element partitioning, speciation, and fate: a review. Environmental Toxicology and Chemistry, 33 (10). 2181-2196. 10.1002/etc.2642 Contact CEH NORA team at noraceh@ceh.ac.ukThe NERC and CEH trademarks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner. Running head: Review assemblage models understanding of the behaviour and speciation of trace elements in surface waters [6, 7] 9 groundwaters [8, 9] and soils [10][11][12], rare earth and radionuclide geochemistry [13, 14] and 10 interactions of potential toxic trace elements with biota [15][16][17]. Combination of ion-binding 11 models for the various components into "assemblage models" is a promising way to predict 12 partitioning and speciation of metals and metalloids in natural environments [18][19][20][21] and 13 waste materials and the dynamic behaviour of metals in soils, including transport to surface 14 water [22, 23]. Concurrent with the increase in the number of mechanistic models of ion- 15binding has been an increase in the use of such models in environmental risk and hazard 16 assessment of trace elements [24][25][26]. Increased use of assemblage models for these purposes conceptual underpinning, parameterisation and methods to assess site specific inputs. 22Furthermore, insight is needed on the consequences of choices of concepts, parameterisation, 23and site-specific inputs on the performance and utility of the models. 24Assemblage model conceptAssemblage models combine thermodynamic models for inorganic speciation and 1 mineral equilibria with separate models for ion binding to various reactive components 2 (oxides, clay, organic matter). The ion binding models are based on general thermodynamic 3 principles. However, the complexity of ion binding to heterogeneous complexants requires 4 simplifications in order to obtain practical models [27]. In this paper we will use the term 5 surface complexation for the binding of ions to mineral surfaces and humic ion binding for 6 binding to humics. In general we refer to these models as ion binding models. The models 7 distinguish explicitly between electrostatic and ion-specific binding and account for 8 competition among ions for binding. This allows the models to be applied across wide ranges binding. An alternative is the generalized composite approach, in which binding to the whole 21 assemblage is simulated using a composite binding phase with generic surface sites. The 22 generic surface sites represent average properties of the soil or sediment surface rather than 23 specific minerals [31]. Binding constants and reaction stoichiometries are fit to experimental 24 7 data for the site specific assemblage [32], and are therefore not transferable to other sites. For 1 an overview of applications of the general composite approach one is referred to [31, 33]....

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Physical–Chemical Recovery of a Montane Stream After Remediation of Acid Mine Drainage: Timing and Extent After Turning off the Tap

Meyer

Lloyd

Bevers³

et al. 2022

Enviro Toxic and Chemistry

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We monitored physical-chemical conditions in the North Fork of Clear Creek in Colorado (USA) before, during, and after the start of remediation (lime treatment) to remove metals from two major inputs of acid mine drainage (AMD) water. In addition, we analyzed historical monitoring data that extended back more than two decades. Concentration-discharge (C-D) and load-discharge (L-D) plots accounted for discharge dependence in concentrations and loads of metals, major ions, and other water chemistry parameters. Total and dissolved concentrations, and loads of the metals decreased after remediation began, with the largest decreases usually during low stream flow. However, postremediation concentrations and loads remained slightly to considerably higher than reference, probably because of unidentified groundwater seeps and/or small surface flows. Dissolved Cu concentrations decreased much less than total Cu concentrations, because the percentage of total Cu in the dissolved phase increased considerably as particulate Fe (PFe) concentration decreased. We conclude that 1) water chemistry can change to a new steady state or pseudo-steady state relatively quickly after major AMD inputs to a stream are remediated; 2) elevated flows during snowmelt and rainfall periods can mobilize additional amounts of major ions and metals, resulting in in-stream concentrations that are manifestations of both dilution and mobilization; 3) although lime treatment of AMD-related waters can decrease metal concentrations, it does not decrease elevated concentrations of major ions that might impair sensitive stream invertebrates; 4) although Fe is toxic to aquatic organisms, PFe adsorbs other metals and thereby provides protection against their toxicity; and 5) use of C-D and L-D plots and element ratios can indicate the presence of unidentified AMD inputs to a stream.

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Modeling Precipitation and Sorption of Elements during Mixing of River Water and Porewater in the Coeur d'Alene River Basin

Cited by 48 publications

References 44 publications

Heavy Metal–Mineral Associations in Coeur d’Alene River Sediments: A Synchrotron-Based Analysis

Heavy Metal–Mineral Associations in Coeur d’Alene River Sediments: A Synchrotron-Based Analysis

The use of assemblage models to describe trace element partitioning, speciation, and fate: A review

Physical–Chemical Recovery of a Montane Stream After Remediation of Acid Mine Drainage: Timing and Extent After Turning off the Tap

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