Groundwater contaminant source identification considering unknown boundary condition based on an automated machine learning surrogate
Groundwater contamination source identification (GCSI) is a prerequisite for contamination risk evaluation and efficient groundwater contamination remediation programs. The boundary condition generally is set as known variables in previous GCSI studies. However, in many practical cases, the boundary...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-01-01
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Series: | Geoscience Frontiers |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1674987123001998 |