Groundwater recharge potential zonation using an ensemble of machine learning and bivariate statistical models
Abstract Many regions in Iran are currently experience water crisis, largely driven by frequent droughts and expanding agricultural land combined with over abstraction of groundwater. Therefore, it is extremely important to identify potential groundwater recharge (GWR) zones to help in prevent water...
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Autores principales: | Maryam Sadat Jaafarzadeh, Naser Tahmasebipour, Ali Haghizadeh, Hamid Reza Pourghasemi, Hamed Rouhani |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/175feb62ba564fcf8bf0eb3d021f3b39 |
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