Groundwater contaminant source identification based on iterative local update ensemble smoother

• 作者: JIANG Qian-yun JIANG Si-min LIU Jin-bing YANG Ai-lin ZHANG Wen ZHOU Ting
• 来源期刊: 地下水科学与工程:英文版
• 学科: 地球科学
• 关键词: GROUNDWATER CONTAMINATION GROUNDWATER inverse problem Source IDENTIFICATION ENSEMBLE smoother Data ASSIMILATION
• 年，卷（期）: 2020,（1）
• 页码范围: 1-9
• 页数: 9页
• 分类号: P64

摘要

Identification of the location and intensity of groundwater pollution source contributes to the effect of pollution remediation,and is called groundwater contaminant source identification.This is a kind of typical groundwater inverse problem,and the solution is usually ill-posed.Especially considering the spatial variability of hydraulic conductivity field,the identification process is more challenging.In this paper,the solution framework of groundwater contaminant source identification is composed with groundwater pollutant transport model(MT3DMS)and a data assimilation method(Iterative local update ensemble smoother,ILUES).In addition,Karhunen-Loève expansion technique is adopted as a PCA method to realize dimension reduction.In practical problems,the geostatistical method is usually used to characterize the hydraulic conductivity field,and only the contaminant source information is inversely calculated in the identification process.In this study,the identification of contaminant source information under Kriging K-field is compared with simultaneous identification of source information and K-field.The results indicate that it is necessary to carry out simultaneous identification under heterogeneous site,and ILUES has good performance in solving high-dimensional parameter inversion problems.