首页|Non-point contaminant source identification in an aquifer using the ensemble smoother with multiple data assimilation

Non-point contaminant source identification in an aquifer using the ensemble smoother with multiple data assimilation

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  • NSTL
  • Elsevier
Proper identification of groundwater contaminant sources is vital to assess groundwater contamination. However, the majority of previous studies focuses on point source identification; only a few works have been conducted for non-point source parameter identification. Here, we employ the ensemble smoother with multiple data assimilation (ES-MDA) to simultaneously identify the spatial architecture of non-point contaminant sources and the related release information. Three different shapes of non-point contaminant sources are considered, an ellipse, a circle, and an irregular shape. We test the applicability of the ES-MDA for the simultaneous identification using three scenarios in a synthetic confined aquifer by assimilating concentration observations from alltime steps multiple times. The results demonstrate that the ES-MDA is capable to accurately identify both regular and irregular non-point contaminant source information; the accuracy of the identification can be improved by increasing the number of iterations.

Non-point contaminant source identificationData assimilationEnsemble smoother with multiple data&nbspassimilationGroundwater contaminationConcentrationPOLLUTION SOURCE IDENTIFICATIONPIEZOMETRIC HEAD DATARELEASE HISTORYHYDRAULIC CONDUCTIVITYINVERSE METHODSSOURCE LOCATIONGROUNDWATER POLLUTIONJOINT IDENTIFICATIONGENETIC ALGORITHMSIMULATION

Xu, Teng、Zhang, Wenjun、Jaime Gomez-Hernandez, J.、Xie, Yifan、Yang, Jie、Chen, Zi、Lu, Chunhui

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Hohai Univ

Univ Politecn Valencia

China Geol Survey

2022

10.1016/j.jhydrol.2021.127405

Journal of Hydrology

Journal of Hydrology

EISCI
ISSN：0022-1694
年,卷(期)：2022.606
  • 7
  • 47