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OA

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.