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dc.contributor.authorTabassum, Anwaar
dc.contributor.authorSajjad, Asif
dc.contributor.authorSajid, Ghayas Haider
dc.contributor.authorAhmad, Mahtab
dc.contributor.authorIqbal, Mazhar
dc.contributor.authorKhan, Aqib Hassan Ali 
dc.date.accessioned2026-06-01T09:17:04Z
dc.date.available2026-06-01T09:17:04Z
dc.date.issued2025-06
dc.identifier.urihttps://hdl.handle.net/10259/11772
dc.description.abstractGroundwater constitutes the primary source of liquid freshwater on Earth and is essential for ecosystems, agriculture, and human consumption. However, rising demand, urbanization, and climate change have intensified groundwater depletion, particularly in semi-arid regions. Therefore, assessing groundwater recharge zones is essential for sustainable water resource management in vulnerable areas such as Dera Ismail Khan, Pakistan. This study aims to delineate groundwater potential zones (GWPZs), using an integrated approach combining the Geographic Information System (GIS), remote sensing (RS), and the analytical hierarchy process (AHP). Twelve factors were identified in a study conducted using GIS-based AHP to determine the groundwater recharge zones in the region. These include land use/land cover (LULC), rainfall, drainage density, soil type, slope, road density, water table depth, and remote sensing indices such as Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), Moisture Stress Index (MSI), Worldview Water Index (WVWI), and Land Surface Temperature (LST). The results show that 17.52% and 2.03% of the area have “good” and “very good” potential for groundwater recharge, respectively, while 48.63% of the area has “moderate” potential. Furthermore, gentle slopes (0–2.471◦ ), high drainage density, shallow water depths (20–94 m), and densely vegetated areas (with a high NDVI) are considered important influencing factors for groundwater recharge. Conversely, areas with steep slopes, high temperatures, and dense built-up areas showed “poor” potential for recharge. This approach demonstrates the effectiveness of integrating advanced remote sensing indices with the AHP model in a semi-arid context, validated through high-accuracy field data (Kappa = 0.93). This methodology offers a cost-effective decision support tool for sustainable groundwater planning in similar environmentsen
dc.description.sponsorshipThe authors gratefully acknowledge the United States Geological Survey (USGS) for providing the data used in this study, accessed via http://earthexplorer.usgs.gov/ on 15 December 2024. We also express our sincere thanks to the University Research Fund (URF) of Quaid-i-Azam University, Islamabad, for the partial financial support of this researchen
dc.format.mimetypeapplication/pdf
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofWater. 2025, V. 17, n. 11, 1586en
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectGroundwater potential zones (GWPZs)en
dc.subjectGeographic Information Systems (GIS)en
dc.subjectAnalytical hierarchy process (AHP)en
dc.subjectHydrological remote sensingen
dc.subjectWater resource monitoringen
dc.subject.otherSistemas de información geográficaes
dc.subject.otherGeographic information systemsen
dc.subject.otherGestión del aguaes
dc.subject.otherWater resources developmenten
dc.titleAssessing Recharge Zones for Groundwater Potential in Dera Ismail Khan (Pakistan): A GIS-Based Analytical Hierarchy Process Approachen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.3390/w17111586es
dc.identifier.doi10.3390/w17111586
dc.identifier.essn2073-4441
dc.journal.titleWateren
dc.volume.number17es
dc.issue.number11es
dc.page.initial1586es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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