Application of Geospatial Technique to Groundwater Potential Mapping in Mahoba District, India

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Abstract Groundwater is an important entity for the life as well as the ecosystem. This Precious resource is under extreme strain in India due to man-made and natural caused factors. The identification of groundwater potential zones (GWPZs) becoming more crucial due to increased demand of freshwater across the globe. Therefore, this research presents GIS and Remote Sensing (RS) based algorithm to determine the GWPZs of the Mahoba district, India. Total seven influencing factor that affects the potentiality of the research region i.e. lithology (LI), geomorphology (GM), rainfall, slope, land use and land cover (LULC), lineament density and drainage density. The GIS and RS techniques were employed to prepare all the above mentioned thematic maps. First, the GWPZs were generated by overlaying all the thematic layers over each other after assigning the suitable weights through Analytical Hierarchy Process (AHP) technique. The demarcated GWPZs were categorized into various classifications, i.e. “very high," "high," "moderate," "low," and "very low." Thus the acquired GWPZs were verified through well discharge data. Overall the presents approach will provide the very good performance for mapping the GWPZs of the research area.
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Application of Geospatial Technique to Groundwater Potential Mapping in Mahoba District, India | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Application of Geospatial Technique to Groundwater Potential Mapping in Mahoba District, India Mukesh kumar, Pitam singh, Priyamvada Singh This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8766625/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 13 You are reading this latest preprint version Abstract Groundwater is an important entity for the life as well as the ecosystem. This Precious resource is under extreme strain in India due to man-made and natural caused factors. The identification of groundwater potential zones (GWPZs) becoming more crucial due to increased demand of freshwater across the globe. Therefore, this research presents GIS and Remote Sensing (RS) based algorithm to determine the GWPZs of the Mahoba district, India. Total seven influencing factor that affects the potentiality of the research region i.e. lithology (LI), geomorphology (GM), rainfall, slope, land use and land cover (LULC), lineament density and drainage density. The GIS and RS techniques were employed to prepare all the above mentioned thematic maps. First, the GWPZs were generated by overlaying all the thematic layers over each other after assigning the suitable weights through Analytical Hierarchy Process (AHP) technique. The demarcated GWPZs were categorized into various classifications, i.e. “very high," "high," "moderate," "low," and "very low." Thus the acquired GWPZs were verified through well discharge data. Overall the presents approach will provide the very good performance for mapping the GWPZs of the research area. Groundwater Potential Zones (GWPZs) Geographic Information System (GIS) Remote Sensing (RS) Multi-criteria Decision Analysis (MCDA) and Analytical Hierarchy Process (AHP) Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Revision Version 1 posted Editorial decision: Revision requested 20 Mar, 2026 Reviews received at journal 16 Mar, 2026 Reviewers agreed at journal 11 Mar, 2026 Reviews received at journal 11 Mar, 2026 Reviews received at journal 10 Mar, 2026 Reviewers agreed at journal 24 Feb, 2026 Reviewers agreed at journal 24 Feb, 2026 Reviewers agreed at journal 24 Feb, 2026 Reviewers invited by journal 24 Feb, 2026 Editor invited by journal 20 Feb, 2026 Editor assigned by journal 15 Feb, 2026 Submission checks completed at journal 15 Feb, 2026 First submitted to journal 02 Feb, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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