Arsenic sequestration in gold mine wastes under changing pH and experimental rewetting cycles

Hoagland, Beth; Mosley, Luke M.; Russo, T. A.; Kirby, Jason K.; Cullen, Cecilia; Fantle, Matthew S.; Raven, Mark; Fisher, Joshua

doi:10.1016/j.apgeochem.2020.104789

Cited by 8 publications

(4 citation statements)

References 41 publications

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“…These models were based on measured characteristics of the fly ash, including the following: contents of major elements (Fe, Ca, Si, and Al), LOI (an indicator of unburned carbon and other volatile elements), and pH of ash leachates. pH was chosen as one of the predictor variables because of its influence on As and Se speciation and solubility. ,, …”

Section: Methodsmentioning

confidence: 99%

“…pH was chosen as one of the predictor variables because of its influence on As and Se speciation and solubility. 39,42,43 The Shapiro−Wilks test was used to check for normality in the data sets (dissolved element concentrations, total element concentrations, pH of leachate, and LOI of ash materials). Parameters with a non-normal data distribution were analyzed as the log 10 transform.…”

Section: Physicochemical and Chemical Analysesmentioning

confidence: 99%

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Functional Predictor Variables for the Leaching Potential of Arsenic and Selenium from Coal Fly Ash

et al. 2023

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The release of leachates from intact coal ash impoundments is a concern due to the enrichment and mobilization of toxic elements such as arsenic (As) and selenium (Se). This study aims to explore the intrinsic properties of coal fly ash that correlate with the relative leachability of As and Se. We performed leaching experiments with 52 fly ash samples collected from 15 different U.S. power plants and representing coal feedstocks from the three major domestic regions. We assessed the mobilization potential of As and Se in fly ash based on standardized leaching protocols and performed multivariate and lasso regression analyses to explore correlations of leachable As and Se contents with characteristics such as major element contents, loss on ignition, and pH. The results of regression models indicated that major elements (Fe, Ca, and Al) for a wide range of fly ashes can serve as predictor variables for the leaching potential of As but not for Se. LOI and pH were not important predictive variables in the models. Both regression approaches resulted in relatively strong fits for leachable As (correlation coefficient R 2 = 0.78 for both models) compared to models for leachable Se (R 2 = 0.49). Overall, these results suggest that correlation models combined with on-site elemental analysis with portable analyzers may enable a screening method for leachable As in coal ash.

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Section: Methodsmentioning

confidence: 99%

Section: Physicochemical and Chemical Analysesmentioning

confidence: 99%

Functional Predictor Variables for the Leaching Potential of Arsenic and Selenium from Coal Fly Ash

et al. 2023

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“…Concerning e uent sediments, increasing pH values are observed as the sampling stations move further away from the "El Lavadero" MEL; however, the pH values are generally slightly acidic. It is essential to mention that pH in uences the speciation and mobility of PTEs, including arsenic, favoring its transport at acidic pH values (Hoagland et al 2021).…”

Section: Physicochemical Parametersmentioning

confidence: 99%

Granulometric and Geochemical Distribution of Arsenic in a Mining Environmental Liability in a Semi-arid Area

Sánchez,

Gómez-Álvarez,

Encinas-Romero

et al. 2024

Preprint

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The present study refers to the "El Lavadero" tailings deposit, considered a mining environmental liability (MEL), located near San Felipe de Jesús town, Sonora, in northwest Mexico; the objective was to determine the total arsenic (As) content, its granulometric and geochemical distribution, and its mobilization capacity and bioavailability. The results in the oxidized and unoxidized tailings indicated low pH (potential of hydrogen) values (2.4–5.7) and elevated concentrations of total arsenic (8235–36,004 mg kg− 1), which predominated in the finer granulometric fractions (< 0.05 mm). Arsenic also prevails in agricultural soil's finest fraction (> 2 mm). The above may represent adverse environmental effects because these particles can be transported and suspended in water media. Regarding the effluent sediments, arsenic prevails in the coarsest fraction (> 2 mm). A significant percentage of As (5–40%) was observed in the tailings (oxidized and unoxidized) distributed in the non-residual geochemical fraction (fraction I + fraction II + fraction III) (1106–7675 mg kg-1), indicating a potential for mobilization and bioavailability. Depending on the environmental conditions (redox potential (Eh) and pH), As can redissolve and present high mobility in abiotic media, potentially having a final impact on the environment and possible effects on human health. Based on the above, it is essential to rehabilitate the "El Lavadero" MEL to avoid a more significant environmental impact. Additionally, the quality of the water from the supply sources surrounding the "El Lavadero" MEL is recommended to be periodically monitored.

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“…[22][23][24] Moreover, mine-derived hard rock and liquid tailings waste can alter the chemistry of water and sediment 25 as well as the release of contaminants that endanger aquatic ecosystems and human health. 26,27 Therefore, mining industries and chemical facilities are considered the primary pollution sources, 28 and their wastewater need to be treated before releasing into the environment. 29 Hence, wastewater treatment technologies have been improved for MWWT and resulted in three mature types of ways to treat mining wastewater, i.e., physical, chemical, and biological treatment methods.…”

Section: Introductionmentioning

confidence: 99%

Global research progress on mining wastewater treatment: a bibliometric analysis

Zahoor

Mao

Jia

et al. 2022

Environ. Sci.: Adv.

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Arsenic sequestration in gold mine wastes under changing pH and experimental rewetting cycles

Cited by 8 publications

References 41 publications

Functional Predictor Variables for the Leaching Potential of Arsenic and Selenium from Coal Fly Ash

Functional Predictor Variables for the Leaching Potential of Arsenic and Selenium from Coal Fly Ash

Granulometric and Geochemical Distribution of Arsenic in a Mining Environmental Liability in a Semi-arid Area

Global research progress on mining wastewater treatment: a bibliometric analysis

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