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Functional PredictornVariables for the Leaching Potentialnof Arsenic and Selenium from Coal Fly Ash 煤飞灰中砷、硒浸出电位的功能预测变量

Figshare Pub Date : 2023-03-10 DOI: 10.1021/acsestwater.2c00568.s001

Zehao Jin (11408687), Jie Ren (176083), Nelson A. Rivera (2643592), James C. Hower (534541), Heileen Hsu-Kim (71291)

{"title":"Functional PredictornVariables for the Leaching Potentialnof Arsenic and Selenium from Coal Fly Ash","authors":"Zehao Jin (11408687), Jie Ren (176083), Nelson A. Rivera (2643592), James C. Hower (534541), Heileen Hsu-Kim (71291)","doi":"10.1021/acsestwater.2c00568.s001","DOIUrl":"https://doi.org/10.1021/acsestwater.2c00568.s001","url":null,"abstract":"The release of leachatesnfrom intact coal ash impoundmentsnis anconcern due to the enrichment and mobilization of toxic elements suchnas arsenic (As) and selenium (Se). This study aims to explore thenintrinsic properties of coal fly ash that correlate with the relativenleachability of As and Se. We performed leaching experiments withn52 fly ash samples collected from 15 different U.S. power plants andnrepresenting coal feedstocks from the three major domestic regions.nWe assessed the mobilization potential of As and Se in fly ash basednon standardized leaching protocols and performed multivariate andnlasso regression analyses to explore correlations of leachable Asnand Se contents with characteristics such as major element contents,nloss on ignition, and pH. The results of regression models indicatednthat major elements (Fe, Ca, and Al) for a wide range of fly ashesncan serve as predictor variables for the leaching potential of Asnbut not for Se. LOI and pH were not important predictive variablesnin the models. Both regression approaches resulted in relatively strongnfits for leachable As (correlation coefficient R2 = 0.78 for both models) compared to models for leachablenSe (R2 = 0.49). Overall, these resultsnsuggest that correlation models combined with on-site elemental analysisnwith portable analyzers may enable a screening method for leachablenAs in coal ash.","PeriodicalId":523783,"journal":{"name":"Figshare","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147921835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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