AHP integrated geospatial application for identifying groundwater recharge zones accounting for temporal variations through multi-criterion weighted overlay analysis

Ground water is critical in supporting agricultural, domestic and industrial demands in mountainous and water scarce areas. Nevertheless, it is difficult to detect the groundwater potential zones (GPZs) of structurally complicated terrains of Himalayas because of the insufficiency of the hydrogeological data and time delays in recharge conditions. This paper seeks to map the recharge areas on the groundwater of the Kinnaur District in Himachal Pradesh, India, by applying a multi-criteria decision-making model based on GIS. To create a groundwater recharge potential map as well as to take into consideration the temporal variation, 9 hydrogeologically significant parameters including rainfall, slope, curvature, drainage density, land use/land cover, lineament density, soil, aspect, and topographic wetness index were examined and weighted with the help of the Analytic Hierarchy Process (AHP). The study incorporates nine critical criteria—rainfall, curvature, slope, drainage density, land use/land cover, lineament density, soil, aspect, and topographic wetness index—to analyze and map the spatial distribution of GPZs. Through combining such criteria through AHP in a GIS framework, the research is able to consider the aspect of time variation, not to mention multi-criteria features that are crucial in proper GPSZ identification. The groundwater fluctuation zone of the study area has been categorized into five different classes: Very Low (24%), Low (31%), Medium (21%), High (18%), and Very High (6%). The delineated map was tested with the Receiver Operating Characteristic (ROC) technique, and the map was found to have a good correlation with the water bodies (AUC = 71.7%). This will give a complete picture of the groundwater recharge dynamics, and this will be of great help on how to use ground water sustainably. The resulting map of the generated ground water recharge can be a solid decision-support guide in the exploration of the ground water resource, its prioritization, and sustainable management of mountainous areas with limited data.

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Journal
Scientific Reports
Published
2026-03-31
DOI
https://doi.org/10.1038/s41598-026-45064-5
Primary Topic
Groundwater and Watershed Analysis
Type
article
Field-Weighted Citation Impact
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article

AHP integrated geospatial application for identifying groundwater recharge zones accounting for temporal variations through multi-criterion weighted overlay analysis

Aashish Sharma, Mohamed A. Mattar, Kanwarpreet Singh, Amenjor Senagah et al.
Scientific Reports
Groundwater and Watershed Analysis
article

AHP integrated geospatial application for identifying groundwater recharge zones accounting for temporal variations through multi-criterion weighted overlay analysis

Aashish Sharma, Mohamed A. Mattar, Kanwarpreet Singh, Amenjor Senagah, Gaurav Juneja, Abhishek Sharma, Rupesh Gupta, Abhijit Bhowmik, Nadhir Al-Ansari
article en

Abstract

Ground water is critical in supporting agricultural, domestic and industrial demands in mountainous and water scarce areas. Nevertheless, it is difficult to detect the groundwater potential zones (GPZs) of structurally complicated terrains of Himalayas because of the insufficiency of the hydrogeological data and time delays in recharge conditions. This paper seeks to map the recharge areas on the groundwater of the Kinnaur District in Himachal Pradesh, India, by applying a multi-criteria decision-making model based on GIS. To create a groundwater recharge potential map as well as to take into consideration the temporal variation, 9 hydrogeologically significant parameters including rainfall, slope, curvature, drainage density, land use/land cover, lineament density, soil, aspect, and topographic wetness index were examined and weighted with the help of the Analytic Hierarchy Process (AHP). The study incorporates nine critical criteria—rainfall, curvature, slope, drainage density, land use/land cover, lineament density, soil, aspect, and topographic wetness index—to analyze and map the spatial distribution of GPZs. Through combining such criteria through AHP in a GIS framework, the research is able to consider the aspect of time variation, not to mention multi-criteria features that are crucial in proper GPSZ identification. The groundwater fluctuation zone of the study area has been categorized into five different classes: Very Low (24%), Low (31%), Medium (21%), High (18%), and Very High (6%). The delineated map was tested with the Receiver Operating Characteristic (ROC) technique, and the map was found to have a good correlation with the water bodies (AUC = 71.7%). This will give a complete picture of the groundwater recharge dynamics, and this will be of great help on how to use ground water sustainably. The resulting map of the generated ground water recharge can be a solid decision-support guide in the exploration of the ground water resource, its prioritization, and sustainable management of mountainous areas with limited data.

Scientific Reports
Chandigarh University (IN), Jawaharlal Nehru Technological University, Hyderabad (IN), Lovely Professional University (IN), University of Liberia (LR), Luleå University of Technology (SE), King Saud University (SA), Chitkara University (IN), Saveetha University (IN), University of Engineering and Technology Peshawar (PK)
Chandigarh University, King Saud University
Openalex Percentile: Top 26%
Groundwater and Watershed Analysis
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