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| 基于地下水长期监测的氯苯类污染物时空预测 |
| Spatiotemporal Prediction of Chlorobenzene Pollutants Based on Long term Groundwater Monitoring |
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| DOI： |
| 中文关键词: 氯苯类污染物 FEFLOW模型 模拟预测 长期监测 污染防治 多相抽提 地下水 |
| 英文关键词: Chlorobenzenes FEFLOW model Simulation and prediction Long term monitoring Pollution prevention Multiphase extraction Groundwater |
| 基金项目:国家重点研发计划基金资助项目（2023YFC3709600，2023YFC3709601）；2022年“东方英才计划”领军基金资助项目（第十六批上海领军人才，编号135） |
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| 中文摘要: |
| 基于上海某化工场地污染物长期监测数据，以对二氯苯为代表建立FEFLOW迁移预测模型，用4期实测对校准模型进行调参。模型调参优化后对二氯苯迁移预测r2从063上升到081，无人为干扰的自然衰减区域的预测比有人为干扰的多相抽提区域的预测更加准确。监测对二氯苯300 d，整个场地污染分布在平面和垂向上都呈现高浓度降低、污染范围扩散的现象，抽提区域污染下重上轻，两个独立污染羽在-6 m以下的区域连通，污染浓度增加。场地预测模型优化后可直接用于同类型污染物迁移预测分析，不可用于关系产物的迁移预测。 |
| 英文摘要: |
| Based on long term monitoring data of contaminants in a chemical industrial site in Shanghai，this study established a FEFLOW migration prediction model using 1，4 dichlorobenzene as the research object， and adjusted parameters of the calibration model with measured values of four time periods. Results showed that after the adjustment and optimization of the model parameters，the r2 between the predicted and measured values of 1，4 dichlorobenzene migration increased from 063 to 081. The prediction 〖JP+2〗was more accurate in the natural attenuation zone without human interference than that in the multiphase extraction zone with human interference. Based on 300 days of 1，4 dichlorobenzene monitoring data，the contamination distribution across the entire site exhibited a trend of decreasing concentration and expanding contamination extent in both the horizontally and vertically directions. In the extraction zone， contamination was greater at depth and less near the surface. Two independent contamination plumes connected below -6 m， resulting in an increase in contaminant concentration. The optimized model could be directly applied to the migration prediction analysis of same type of contaminants， but could not be used for the migration prediction of transformation products. |
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