Investigating machine learning and ensemble learning models in groundwater potential mapping in arid region: case study from Tan-Tan water-scarce region, Morocco

Investigating machine learning and ensemble learning models in groundwater potential mapping in arid region: case study from Tan-Tan water-scarce region, Morocco

Groundwater resource management in arid regions has a critical importance for sustaining human activities and ecological systems. Accurate mapping of groundwater potential plays a vital role in effective water resource planning. This study investigates the effectiveness of machine learning models, i...

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Bibliographic Details
Main Authors: Abdessamad Jari, El Mostafa Bachaoui, Soufiane Hajaj, Achraf Khaddari, Younes Khandouch, Abderrazak El Harti, Amine Jellouli, Mustapha Namous
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Water
Subjects:
groundwater potential mapping
machine learning
ensemble learning
arid regions
Tan-Tan region
Morocco
Online Access:https://www.frontiersin.org/articles/10.3389/frwa.2023.1305998/full

Internet

https://www.frontiersin.org/articles/10.3389/frwa.2023.1305998/full

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