ISSN 1000-3665 CN 11-2202/P
    CHEN Fan, SHI Zheming, JIA Yongfeng, et al. Polluted groundwater pump and treat system optimization based on weighted optimization method on the area[J]. Hydrogeology & Engineering Geology, 2024, 51(1): 201-214. DOI: 10.16030/j.cnki.issn.1000-3665.202212029
    Citation: CHEN Fan, SHI Zheming, JIA Yongfeng, et al. Polluted groundwater pump and treat system optimization based on weighted optimization method on the area[J]. Hydrogeology & Engineering Geology, 2024, 51(1): 201-214. DOI: 10.16030/j.cnki.issn.1000-3665.202212029

    Polluted groundwater pump and treat system optimization based on weighted optimization method on the area

    • Well group layout is one of the key steps of groundwater recovery with pump and treat technology. In order to improve the remediation efficiency of pump and treat technology, a pollution field was taken as the research area, and a nonlinear-dynamic-multi-objective simulation-optimization model was established. The minimum capital cost, maximum pollutant removal rate and shortest remediation time were taken as the optimization objectives, and different extraction flows under single, double and three-well modes were set. The weighted optimization method is used to compare the well group layout scheme. The results show that: Overall, the single-well mode has poor remediation efficiency, when focusing on capital cost, the double-well pumping scheme is better overall, when focusing on the standard time, the mitsui-well pumping scheme is better overall; the single-well mode with constant flow is better than the multi-well modes, if the pumping flow is reduced appropriately in the late stage of the multi-well modes, the total amount of water pumped can be reduced and the capital cost can be saved, the dynamic management of well groups can improve the remediation efficiency. This study provides a reference for the application of weighted optimization method combined with numerical simulation method in well group layout optimization of pump and treat technology, and verifies the flexibility and practicability of weighted optimization method in well group optimization application.
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