山东国土资源2026,Vol.42Issue(6):62-68,7.DOI:10.12128/j.issn.1672-6979.2026.06.008
地下工程建设过程中地下水污染源快速溯源反演算法的案例分析
Rapid Inversion Algorithm For Groundwater Pollution Source Identification During Underground Construction
摘要
Abstract
Accurate determination of groundwater pollution source release characteristics is a prerequisite for effective management of contamination incidents induced during underground construction.Inferring such characteristics from monitoring data constitutes a groundwater inverse problem,with source inver-sion under unknown location conditions representing a major challenge.To address this issue,a simulation-optimization model has been developed by coupling a location search algorithm,the Shuffled Complex E-volution algorithm(SCE-UA),a groundwater flow model(MODFLOW),and a solute transport model(MT3DMS).It is demonstrated that the proposed model can accurately identify source locations and re-lease characteristics even when the locations are unknown comparing with traditional optimization algo-rithms.The model will achieve high inversion accuracy across multiple scenarios,including single and multiple sources,steady and unsteady flow,and fixed and time-varying source locations.关键词
地下工程建设/地下水污染/优化模型/复合型进化算法Key words
Underground construction/groundwater pollution/optimization model/composite evolutionary algorithm分类
天文与地球科学引用本文复制引用
李钊,王鑫,杨敏,李风华,刘华峰,李双,梁钰,胡凯..地下工程建设过程中地下水污染源快速溯源反演算法的案例分析[J].山东国土资源,2026,42(6):62-68,7.基金项目
山东省自然科学基金资助项目(ZR2024MD009) (ZR2024MD009)