Groundwater recharge potential zonation using an ensemble of machine learning and bivariate statistical models

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 scarcity...

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Detalles Bibliográficos
Autores principales: Jaafarzadeh, Maryam Sadat, Tahmasebipour, Naser, Haghizadeh, Ali, Pourghasemi, Hamid Reza, Rouhani, Hamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947010/
https://www.ncbi.nlm.nih.gov/pubmed/33692534
http://dx.doi.org/10.1038/s41598-021-85205-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947010/
https://www.ncbi.nlm.nih.gov/pubmed/33692534
http://dx.doi.org/10.1038/s41598-021-85205-6

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