详细信息

Optimization of electrokinetic remediation for PFOA-contaminated soil: Modeling and sensitivity analysis of key parameters  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Optimization of electrokinetic remediation for PFOA-contaminated soil: Modeling and sensitivity analysis of key parameters

作者:Li, Mengwei[1,2];Xiu, Guangli[1,2];Zhang, Wei[1,2]

机构:[1]East China Univ Sci & Technol, Sch Resources & Environm Engn, Key Lab Environm Risk Assessment & Control Chem Pr, Minist Ecol & Environm, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Shanghai Environm Protect Key Lab Environm Stand &, Shanghai 200237, Peoples R China

年份:2026

卷号:215

外文期刊名:PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

收录:;EI(收录号:20262721038174);Scopus(收录号:2-s2.0-105043531571);WOS:【SCI-EXPANDED(收录号:WOS:001819129500001)】;

基金:This work was financially supported by Key Projects of the Joint Fund of Guidelines for Collaborative Implementation and Management of Ecological and Environmental Standards in the Yangtze River Delta (Hu Huan Ke [2024] No. 28).

语种:英文

外文关键词:Electrokinetic remediation; Perfluorooctanoic acid; Soil contamination; Numerical simulation; Sensitivity analysis

摘要:This study developed a coupled physicochemical model to simulate the migration behavior of perfluorooctanoic acid (PFOA) in soil during electrokinetic (EK) remediation. The model integrated solute advection-diffusion, electromigration-electroosmosis, and pH-dependent nonlinear Langmuir adsorption processes. It successfully reproduced the spatial distribution of PFOA in soil during EK remediation (R2 = 0.841), capturing key transport characteristics. Electromigration was identified as the dominant transport mechanism, leading to PFOA accumulation in the central soil region and near the anode. Sensitivity analysis demonstrated that remediation duration and soil adsorption characteristics predominantly governed PFOA migration, whereas electric field strength mainly influenced spatial redistribution with limited improvement in overall removal efficiency. These findings provide a quantitative framework and mechanistic insight for optimizing field-scale EK remediation of PFOA-contaminated soils.

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