Repository logo
 
Loading...
Thumbnail Image
Publication

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

Use this identifier to reference this record.
Name:Description:Size:Format: 
EGU23-16375-print[71].pdf293.61 KBAdobe PDF Download

Advisor(s)

Abstract(s)

Description

Keywords

Pedagogical Context

Citation

JADOUD, 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.

Research Projects

Organizational Units

Journal Issue