1. Quantitative study of in situ chemical oxidation remediation with coupled thermal desorption.
- Author
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Han C, Zhu X, Xiong G, Gao J, Wu J, Wang D, and Wu J
- Subjects
- Oxidation-Reduction, Environmental Pollution, Models, Chemical, Water Pollutants, Chemical analysis, Environmental Restoration and Remediation, Groundwater
- Abstract
In situ chemical oxidation (ISCO) is widely used as an efficient remediation technology for groundwater pollution. However, quantitative studies of its reactive remediation process under coupled thermal desorption technology are scarce. Based on laboratory experiments and site remediation, the chemical oxidation remediation reaction process was quantified, and the apparent reaction equation of the ISCO process was constructed. And then, a numerical model coupled with Hydraulic-Thermal-Chemical (HTC) fields was built to quantitatively describe the remediation process of an actual contaminated site. The simulation results fit well with the site monitoring data, and the results indicated that thermal desorption strengthens the ISCO remediation effect. In addition, the HTC model is expanded to build a conceptual and numerical model of a coupled remediation system, including heating and remediation wells. The results showed that high-temperature conditions enhance the activity of remediation chemicals and increase the rate of remediation reaction to obtain a better remediation effect. The heating wells increase the regional temperature, accelerating the diffusion of pollutants and remediation chemicals, and promoting adequate contact and reaction. Based on this crucial mechanism, thermal desorption coupled with ISCO technology can significantly improve remediation efficiency, shorten the remediation cycle, and precisely control agent delivery with the help of numerical simulation to avoid secondary contamination., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.Cong Han, Xiaobin Zhu, Guiyao Xiong, Jingxun Gao, Jianfeng Wu, Dong Wang, Jichun Wu, (Copyright © 2023. Published by Elsevier Ltd.)
- Published
- 2023
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