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Is Cr(III) re-oxidation occurring in Cr-contaminated soils after remediation: Meta-analysis and machine learning prediction.
Tan, Xiao; Qi, Fang; Liu, Qi; Qie, Hantong; Duan, Guilan; Lin, Aijun; Liu, Meng; Xiao, Yong.
Affiliation
  • Tan X; College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.
  • Qi F; College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.
  • Liu Q; College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.
  • Qie H; College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.
  • Duan G; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, People's Republic of China.
  • Lin A; College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.
  • Liu M; College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China. Electronic address: liumeng053197@163.com.
  • Xiao Y; College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China. Electronic address: xiaoyong@buct.edu.cn.
J Hazard Mater ; 465: 133342, 2024 Mar 05.
Article in En | MEDLINE | ID: mdl-38150755
ABSTRACT
Whether Cr(III) in Cr(III)-containing sites formed after Cr(VI) reduction and stabilization remediation are re-oxidized and pose toxicity risks again has been a growing concern. In this study, 1030 data were collected to perform a meta-analysis to clarify the effects of various factors (oxidant type, soil and Cr(III) solid compound properties, aging conditions, and testing methods) on Cr(III) oxidation. We observed that the soil properties of clay, pH ≥ 8, the lower CEC capacity, easily reducible Mn content, and Cr(III) content, and the higher Eh value and Fe content can promote the re-oxidation of Cr(III). Publication bias and sensitivity analyses confirmed the stability and reliability of the meta-analysis. Subsequently, we used five machine learning algorithms to construct and optimize the models. The prediction results of the RF model (RMSE <1.36, R2 >0.71) with good algorithm performance showed that after ten years of remediation, the extractable Cr(VI) concentration in the soil was 0.0087 mg/L, indicating a negligible secondary pollution risk of Cr(III) re-oxidation. This study provides theoretical support for subsequent risk management and control after Cr(VI) soil remediation and provides a solution for the quantitative prediction of Cr(III) re-oxidation.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Systematic_reviews Language: En Journal: J Hazard Mater Journal subject: SAUDE AMBIENTAL Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Systematic_reviews Language: En Journal: J Hazard Mater Journal subject: SAUDE AMBIENTAL Year: 2024 Document type: Article