Characterization of the non-Gaussian hydraulic conductivity field via deep learning-based inversion of hydraulic-head and self-potential data

•A deep learning-based hydrogeophysical inversion framework is developed.•Using limited head data may lose the fine structure of channelized aquifer.•Integrating hydraulic-head and self-potential data can improve the characterization of non-Gaussian hydraulic conductivity. Accurate characterization...

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Bibliographic Details
Published in:Journal of hydrology (Amsterdam) Vol. 610; p. 127830
Main Authors: Han, Zheng, Kang, Xueyuan, Wu, Jichun, Shi, Xiaoqing
Format: Journal Article
Language:English
Published: Elsevier B.V 01.07.2022
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ISSN:0022-1694, 1879-2707
Online Access:Get full text
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