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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| Published in: | Journal of hydrology (Amsterdam) Vol. 610; p. 127830 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.07.2022
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| Subjects: | |
| ISSN: | 0022-1694, 1879-2707 |
| Online Access: | Get full text |
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