Evaluation of groundwater potential using ANN-based mountain gazelle optimization: A framework to achieve SDGs in East El Oweinat, Egypt

Evaluation of groundwater potential using ANN-based mountain gazelle optimization: A framework to achieve SDGs in East El Oweinat, Egypt

Study region: A pilot case study in East El Oweinat (PCSEO), Egypt. Study focus: An artificial neural network (ANN)-based mountain gazelle optimization (MGO) model was applied to map groundwater potential zones (GWPZs). For this purpose, ten layers affecting groundwater occurrence were prepared and...

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Bibliographic Details
Main Authors: Mahmoud E. Abd-Elmaboud, Ahmed M. Saqr, Mustafa El-Rawy, Nassir Al-Arifi, Riham Ezzeldin
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Groundwater potential mapping
Thematic layers
East El oweinat
Artificial neural networks (ANNs)
Mountain gazelle optimization (MGO)
Sustainable development goals (SDGs)
Online Access:http://www.sciencedirect.com/science/article/pii/S221458182400051X

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http://www.sciencedirect.com/science/article/pii/S221458182400051X

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