Spatial Prediction of Groundwater Potentiality in Large Semi-Arid and Karstic Mountainous Region Using Machine Learning Models

Spatial Prediction of Groundwater Potentiality in Large Semi-Arid and Karstic Mountainous Region Using Machine Learning Models

The drinking and irrigation water scarcity is a major global issue, particularly in arid and semi-arid zones. In rural areas, groundwater could be used as an alternative and additional water supply source in order to reduce human suffering in terms of water scarcity. In this context, the purpose of...

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Bibliographic Details
Main Authors: Mustapha Namous, Mohammed Hssaisoune, Biswajeet Pradhan, Chang-Wook Lee, Abdullah Alamri, Abdenbi Elaloui, Mohamed Edahbi, Samira Krimissa, Hasna Eloudi, Mustapha Ouayah, Hicham Elhimer, Tarik Tagma
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Water
Subjects:
drinking and irrigation water scarcity
groundwater potential mapping
machine learning
remote sensing
GIS
karstic mountainous aquifers
Online Access:https://www.mdpi.com/2073-4441/13/16/2273

Internet

https://www.mdpi.com/2073-4441/13/16/2273

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