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Construction of screening model for remediation of heavy metal pollution in construction land |
BAI Gui-qi1,2, FU Kai-bin1,2, CHEN Shu1, YAO Jun3, ZHA Wei1,2, TIAN Li1,2 |
1. School of Environment and Resource, Southwest University of Science and Technology, Mianyang 621010, China; 2. Tianfu Institute of Research and Innovation, Southwest University of Science and Technology, Chengdu 610299, China; 3. School of Water Resources and Environment, China University of Geosciences(Beijing), Beijing 100083, China |
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Abstract To solve the problems of low efficiency and cumbersome process of remediating heavy metal contamination in construction land, this article determined the screening indicators for heavy metal pollution remediation technology in construction land, established the screening indexes for remediation technology, selected optimum heavy metal contaminated soil remediation technology based on improved analytic hierarchy process, improved entropy weight method, multiplication integration method, and improved approximate ideal solution sorting method, and constructed a screening model for heavy metal pollution remediation technology in construction land. The screening model was compared with other models and traditional methods using engineering cases, and the usability and reliability of the model are assessed and verified. The verification results show that the application order of remediation of heavy metal contaminated soil in a sorting and smelting residue field in Gejiu, Yunnan is as follows:chemical passivation > soil leaching > electric restoration > engineering physics. The relative closeness of the four alternative remediation technologies in a smelting waste site in Huili, Sichuan Province is P=[0.0519, 0.0502, 0.0830, 0.0870]. The optimized chemical passivation technology and soil solidification technology are in line with the field practice. It is demonstrated that the constructed technical screening model is efficient and accurate, which has significant theoretical value and engineering application value for enhancing the heavy metal pollution remediation technology screening process.
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Received: 09 January 2023
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