Improved prediction of groundwater potential zones using a stacking machine learning model
Abstract Sustainable groundwater management in regions with limited data remains a significant challenge. Identifying potential groundwater zones by combining geological and hydrological information is crucial for the effective use and protection of this resource. In the Southwest Shewa Zone of Ethi...
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| Principais autores: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2026-02-01
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| coleção: | Discover Sustainability |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s43621-026-02726-8 |
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