Identification of potential groundwater recharge zones in GIS domain

This study delineates groundwater recharge potential zones in a river basin using a GIS-based multi-criteria decision analysis integrated with the Analytical Hierarchy Process (AHP). Eleven thematic layers—including geology, lineament density, soil type and texture, hydrological soil groups, slope gradient, drainage density, curvature, and land use—were reclassified and weighted based on their influence on recharge. The weighted overlay technique produced a spatially explicit recharge potential map, categorizing the basin into five zones ranging from very poor to very good. Key findings reveal that colluvial and alluvial deposits, combined with gentle slopes and permeable soils, offer the highest recharge potential, while steep basaltic terrains exhibit minimal infiltration capacity. The integration of high-resolution geospatial data with AHP enhances the precision of hydrogeological assessments in data-scarce regions. These results provide a practical framework for targeted groundwater management, supporting sustainable resource planning aligned with the basin’s unique geological and topographic conditions.

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Publication Details

Journal
Applied Water Science
Published
2025-12-02
DOI
https://doi.org/10.1007/s13201-025-02688-8
Primary Topic
Groundwater and Watershed Analysis
Type
article
Field-Weighted Citation Impact
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article

Identification of potential groundwater recharge zones in GIS domain

Imran Ahmad Dar, Mithas Ahmad Dar, Marye Belete, Zhimin Wu et al.
Applied Water Science
Groundwater and Watershed Analysis
article

Identification of potential groundwater recharge zones in GIS domain

Imran Ahmad Dar, Mithas Ahmad Dar, Marye Belete, Zhimin Wu, Getanew Sewnetu Zewdu, Milashu Sisay, Mezid Kassa Abebe
article en

Abstract

This study delineates groundwater recharge potential zones in a river basin using a GIS-based multi-criteria decision analysis integrated with the Analytical Hierarchy Process (AHP). Eleven thematic layers—including geology, lineament density, soil type and texture, hydrological soil groups, slope gradient, drainage density, curvature, and land use—were reclassified and weighted based on their influence on recharge. The weighted overlay technique produced a spatially explicit recharge potential map, categorizing the basin into five zones ranging from very poor to very good. Key findings reveal that colluvial and alluvial deposits, combined with gentle slopes and permeable soils, offer the highest recharge potential, while steep basaltic terrains exhibit minimal infiltration capacity. The integration of high-resolution geospatial data with AHP enhances the precision of hydrogeological assessments in data-scarce regions. These results provide a practical framework for targeted groundwater management, supporting sustainable resource planning aligned with the basin’s unique geological and topographic conditions.

Applied Water ScienceVol. 16(1)
University of Shanghai for Science and Technology (CN), Woldia University (ET)
Openalex Percentile: Top 64%
Groundwater and Watershed Analysis
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