基于过程模拟的地下水污染源识别研究进展

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摘要地下水是重要的水资源,与大气和地表水相比,地下水污染具有隐蔽性、滞后性和不可逆转性等特点.在地下水污染发生后,经过污染源识别,可以快速掌握污染源的信息(数量、位置、释放历史),这对于地下水污染源头防控、污染修复方案的合理设计、污染责任的准确认定等具有重要作用.本文主要综述了地下水污染源识别方法中基于过程模拟的数理方程反演法,并基于CiteSpace和VOSviewer文献计量软件对相关文献进行分析,获得本领域的研究现状与热点.最后提出了基于过程模拟的数理方程反演法研究中未来的发展趋势.

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	郑闯
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关键词 ：地下水, 污染源识别方法, 文献计量

Abstract：Groundwater is an important water resource. Compared with air and surface water, groundwater pollution has the characteristics of concealment, lag and irreversibility. After the occurrence of groundwater pollution, the information of pollution sources (quantity, location, release history) can be quickly grasped through the identification of pollution sources, which plays an important role in the prevention and control of groundwater pollution sources, the reasonable design of pollution remediation programs, and the accurate identification of pollution responsibilities. In this paper, the mathematical equation inversion method based on process simulation in groundwater pollution source identification was reviewed. Besides, the relevant literature based on CiteSpace and VOSviewer bibliometric software was analyzed to obtain the research status and hot spots in this field. Finally, the future development trend in the research of mathematical equation inversion based on process simulation was put forward.

Key words： groundwater pollution source identification methods bibliometric

收稿日期: 2024-02-04

PACS:

X523

基金资助:国家重点研发计划项目(2022YFC3703103)

通讯作者: 董军,教授,dongjun@jlu.edu.cn E-mail: dongjun@jlu.edu.cn

作者简介: 郑闯(2001-),男,吉林长春人,吉林大学硕士研究生,主要从事地下水污染源识别研究.1789066991@qq.com

引用本文:

郑闯, 董军, 张伟红, 葛渊博. 基于过程模拟的地下水污染源识别研究进展[J]. 中国环境科学, 2024, 44(9): 4999-5006. ZHENG Chuang, DONG Jun, ZHANG Wei-hong, GE Yuan-bo. Research progress of groundwater pollution source identification based on process simulation. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(9): 4999-5006.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2024/V44/I9/4999

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