Machine learning models for spatial prediction of groundwater potentiality in a large semi-arid mountainous region: application to the rherhaya watershed, High Atlas, Morocco

Jadoud, MouradEl Achheb, AbderrahimLaftouhi, NoureddineNamous, MustaphaKhouz, AbdellahTrindade, JorgeEl Bchari, FatimaBougadir, BlaidEloudi, HasnaRachidi, Said2023-07-122023-07-122023JADOUD, M., EL ACHHEB, A., LAFTOUHI, N., NAMOUS, M., KHOUZ, A., TRINDADE, J., EL BCHARI, F., BOUGADIR, B., ELOUDI, H., RACHIDI, S. (2023) Machine Learning Models for Spatial Prediction of Groundwater Potentiality in a Large Semi-Arid Mountainous Region: Application to the Rherhaya Watershed, High Atlas, Morocco. EGU General Assembly 2023, Geophysical Research Abstracts, EGU23- 16375. 23 a 28 abril, Viena, Áustria.http://hdl.handle.net/10400.2/14374engMachine learning models for spatial prediction of groundwater potentiality in a large semi-arid mountainous region: application to the rherhaya watershed, High Atlas, Moroccoconference objecthttps://doi.org/10.5194/egusphere-egu23-16375