Functional Predictor Variables for the Leaching Potential of Arsenic and Selenium from Coal Fly Ash Article Swipe
Zehao Jin
,
Jie Ren
,
Nelson Rivera
,
James C. Hower
,
Heileen Hsu‐Kim
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1021/acsestwater.2c00568
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1021/acsestwater.2c00568
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 R2 = 0.78 for both models) compared to models for leachable Se (R2 = 0.49). Altogether, 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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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1021/acsestwater.2c00568
- OA Status
- green
- Cited By
- 5
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4323832027
All OpenAlex metadata
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https://openalex.org/W4323832027Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1021/acsestwater.2c00568Digital Object Identifier
- Title
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Functional Predictor Variables for the Leaching Potential of Arsenic and Selenium from Coal Fly AshWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-03-10Full publication date if available
- Authors
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Zehao Jin, Jie Ren, Nelson Rivera, James C. Hower, Heileen Hsu‐KimList of authors in order
- Landing page
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https://doi.org/10.1021/acsestwater.2c00568Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://www.osti.gov/biblio/1961016Direct OA link when available
- Concepts
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Fly ash, Leaching (pedology), Arsenic, Coal, Selenium, Environmental chemistry, Environmental science, Coal combustion products, Leachate, Correlation coefficient, Multivariate statistics, Chemistry, Soil science, Mathematics, Statistics, Soil water, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
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2025: 2, 2024: 2, 2023: 1Per-year citation counts (last 5 years)
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46Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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