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Article

Simultaneous Estimation of a Contaminant Source and Hydraulic Conductivity Field by Combining an Iterative Ensemble Smoother and Sequential Gaussian Simulation

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Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China
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State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 211100, China
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Yangtze Ecology and Environment Corporation Limited, Wuhan 430015, China
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School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China
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Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, China
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Shanghai Institute of Disaster Prevention and Relief, Tongji University, Shanghai 200092, China
*
Author to whom correspondence should be addressed.
Academic Editor: Paolo Fabbri
Water 2022, 14(5), 757; https://doi.org/10.3390/w14050757
Received: 27 January 2022 / Revised: 21 February 2022 / Accepted: 25 February 2022 / Published: 27 February 2022
(This article belongs to the Section Hydrogeology)
Joint estimation of groundwater contaminant source characteristics and hydraulic conductivity is of great significance for contaminant transport models in heterogeneous subsurface media. As for accurate characterization of hydraulic conductivities, both geostatistical modeling and groundwater inverse modeling are alternative approaches. In this study, an iterative ensemble smoother and sequential gaussian simulation (SGSIM) in geostatistics modeling were combined to realize the simultaneous inversion of contaminant sources and hydraulic conductivities, by using directly measured hydraulic conductivities and indirect hydraulic head and concentration data. To alleviate the high computational cost caused by repetitive evaluations of complex, high-dimensional groundwater models, SGSIM with the pilot points method was used. Considering the characteristics of the proposed method, four scenarios with ten cases were set up in terms of ensemble number and iteration number that affect the performance of the iterative ensemble smoother, the number of pilot points, and the observation data, respectively. The results for the synthetic example indicate that the ensemble size of 2000 and the pilot point number of 80 is an ideal combination of parameters, and the proposed method can successfully recover contaminant source information simultaneously with hydraulic conductivity. View Full-Text
Keywords: inverse modeling; contaminant source identification; hydraulic conductivity estimation; iterative ensemble smoother; pilot point inverse modeling; contaminant source identification; hydraulic conductivity estimation; iterative ensemble smoother; pilot point
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MDPI and ACS Style

Jiang, S.; Zhang, R.; Liu, J.; Xia, X.; Li, X.; Zheng, M. Simultaneous Estimation of a Contaminant Source and Hydraulic Conductivity Field by Combining an Iterative Ensemble Smoother and Sequential Gaussian Simulation. Water 2022, 14, 757. https://doi.org/10.3390/w14050757

AMA Style

Jiang S, Zhang R, Liu J, Xia X, Li X, Zheng M. Simultaneous Estimation of a Contaminant Source and Hydraulic Conductivity Field by Combining an Iterative Ensemble Smoother and Sequential Gaussian Simulation. Water. 2022; 14(5):757. https://doi.org/10.3390/w14050757

Chicago/Turabian Style

Jiang, Simin, Ruicheng Zhang, Jinbing Liu, Xuemin Xia, Xianwen Li, and Maohui Zheng. 2022. "Simultaneous Estimation of a Contaminant Source and Hydraulic Conductivity Field by Combining an Iterative Ensemble Smoother and Sequential Gaussian Simulation" Water 14, no. 5: 757. https://doi.org/10.3390/w14050757

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