Hybrid AHP-machine learning modelling of groundwater recharge potential under land use and climate change in tropical Basins: Implications for sustainable water management

Hybrid AHP-machine learning modelling of groundwater recharge potential under land use and climate change in tropical Basins: Implications for sustainable water management

Groundwater recharge in sub-Saharan Africa is increasingly threatened by climate change and land use/land cover (LULC) changes, yet integrated assessments remain limited for tropical basins. This study evaluates groundwater recharge potential in Ghana's Pra and Ankobra River Basins usings a nov...

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Bibliographic Details
Main Authors: Emmanuel Arthur, Charles Gyamfi, Fred Oppong Kyekyeku Anyemedu, Maxwell Anim-Gyampo
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Environmental and Sustainability Indicators
Subjects:
Groundwater recharge
Climate-LULC change
AHP-Machine learning
Sustainable water management
Pra-Ankobra basins
CMIP6 scenarios
Online Access:http://www.sciencedirect.com/science/article/pii/S266597272500217X
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http://www.sciencedirect.com/science/article/pii/S266597272500217X

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