Using an ensemble machine learning model to delineate groundwater potential zones in desert fringes of East Esna-Idfu area, Nile valley, Upper Egypt

The effects of climate change and rapid population growth increase the demand for freshwater, particularly in arid and hyper-arid environments, considering that groundwater is an essential water resource in these regions. The main focus of this research was to generate a groundwater potential map in...

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Bibliographic Details
Published in:	Geoscience letters 2023-12, Vol.10 (1), p.9-19, Article 9
Main Authors:	Morgan, Hesham, Madani, Ahmed, Hussien, Hussien M., Nassar, Tamer
Format:	Article
Language:	English
Subjects:	Algorithms Aquifers Arid environments Arid zones Aridity Atmospheric Sciences Biogeosciences Climate change Climate effects Collinearity Deserts Distance Drainage density Earth and Environmental Science Earth Sciences Fractures Freshwater Geological mapping Geological maps Geological surveys Geology Geophysics/Geodesy Groundwater Groundwater management Groundwater potential Groundwater potential map Hydrogeology Imbalanced dataset Inland water environment Land cover Land use Learning algorithms Lithology Machine learning Mountain regions Mountainous areas Oceanography Planetology Population growth Quaternary Rainfall Random forest Research Letter Rivers Ruggedness Soil types Sustainability Variable importance Water resources
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