土壤电动修复中菲迁移的数值模拟

Translated title of the contribution: Simulation on phenanthrene migration in electrokinetic remediation of soil

Zhiqun Deng, Dajun Ren, Chen Kang, Chaofan Huang, Huiwen Guo, Xiaoqing Zhang, Shuqin Zhang, Wai Li

Research output: Contribution to journalArticle

Abstract

In order to address the problem of repairing phenanthrene-contaminated soil, both laboratory simulation and experiments were conducted to study the phenanthrene migration in soil under electrodynamics. Electroosmotic flow, electromigration, convection, and dispersion were determined to be the four main processes to affect phenanthrene migration. A phenanthrene migration model in contaminated soil under electrodynamics was established. The phenanthrene migration process was simulated using COMSOL Multiphysics 5.3 software, the migration equations and the selected parameters. Results showed that at the porosities of 0.330, 0.380, 0.430, and 0.480, the maximum mobility of phenanthrene were 31.9%, 34.8%, 38.0% and 41. 7%, respectively. As the voltage increased from 0.500 V•cm-1 to 2.00 V•cm-1, the electroosmotic flux increased accordingly, resulting in a maximum mobility of 44.4%. In the remediation area, a bowl-shaped distribution occurred for the phenanthrene concentration. The simulation calculation determined that phenanthrene concentration reached a minimum value of 2.14 mol•m-3 in the middle region close to the anode, and the maximum mobility was 38. 0% accordingly. The simulated results for phenanthrene migration and distribution were in a good agreement with the experimental results, which verified that the applicability of the developed model in the electrokinetic remediation of soil contaminated by polycyclic aromatic hydrocarbon.

Original languageChinese
Pages (from-to)798-806
Number of pages9
JournalChinese Journal of Environmental Engineering
Volume14
Issue number3
DOIs
Publication statusPublished - 26 Mar 2020

Fingerprint Dive into the research topics of 'Simulation on phenanthrene migration in electrokinetic remediation of soil'. Together they form a unique fingerprint.

  • Cite this

    Deng, Z., Ren, D., Kang, C., Huang, C., Guo, H., Zhang, X., Zhang, S., & Li, W. (2020). 土壤电动修复中菲迁移的数值模拟. Chinese Journal of Environmental Engineering, 14(3), 798-806. https://doi.org/10.12030/j.cjee.201812180