Inversion-based identification of DNAPLs-contaminated groundwater based on surrogate model of deep convolutional neural network
This paper combines theoretical analysis with practical examples to examine outstanding issues in research on the inversion-based identification of dense non-aqueous phase liquids (DNAPLs) in groundwater. We first generalize the relevant geological and hydrogeological conditions to establish a conce...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IWA Publishing
2023-01-01
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| Series: | Water Supply |
| Subjects: | |
| Online Access: | http://ws.iwaponline.com/content/23/1/129 |