Enhancing groundwater predictions by incorporating response lag effects in machine learning models
Groundwater is essential for water resources but faces over-extraction and supply-demand imbalance. Precisely comprehending alterations in groundwater is crucial for sustainable development. Groundwater levels demonstrate a delayed reaction to meteorological circumstances, frequently neglected in cu...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
IWA Publishing
2025
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| Online Access: | https://hdl.handle.net/10568/173583 |
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