Contribution to advancing aquifer geometric mapping using machine learning and deep learning techniques: a case study of the AL Haouz-Mejjate aquifer, Marrakech, Morocco

Contribution to advancing aquifer geometric mapping using machine learning and deep learning techniques: a case study of the AL Haouz-Mejjate aquifer, Marrakech, Morocco

Abstract Groundwater resources in Morocco often face sustainability challenges due to increased exploitation and climate change. Specifically, the Al-Haouz-Mejjate groundwater in the Marrakesh region is faced with overexploitation and insufficient recharge. However, the complex subsurface geometries...

Full description

Bibliographic Details
Main Authors: Lhoussaine El Mezouary, Abdessamad Hadri, Mohamed Hakim Kharrou, Younes Fakır, Abderrahman Elfarchouni, Lhoussaine Bouchaou, Abdelghani Chehbouni
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:Applied Water Science
Subjects:
Aquifer geometry prediction
Aquifer substrate assessment
Geospatial parameters
Supervised machine learning
Online Access:https://doi.org/10.1007/s13201-024-02162-x

Internet

https://doi.org/10.1007/s13201-024-02162-x

Similar Items