Hydrogeophysical estimation of groundwater potential using Dar-Zarrouk Parameters in Vikasnagar block of Dehradun district, Uttarakhand, 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 Hydrogeophysical estimation of groundwater potential using Dar-Zarrouk Parameters in Vikasnagar block of Dehradun district, Uttarakhand, India Somvir Singh This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8300553/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 11 You are reading this latest preprint version Abstract This study estimates hydraulic parameters using geoelectrical data from twenty VES surveys, analyzed with 1-D inversion software. Four geoelectric layer patterns (HK and KH curves) revealed 7–8 strata with resistivity values ranging from 23.68 Ω-m to 257.53 Ω-m, with an average resistivity of 121.06 Ω-m. The three to seven geoelectric strata, which included alluvium, silt, worn or fractured phyllites, granite, quartzite, and sand, contained the major aquifer. Between 7.03 and 114.7 meters (average 65.08 meters) was the aquifer's depth; while between 17.22 and 68.13 meters (average 36.92 meters) was its thickness. The geoelectric data of hydraulic properties showed that the porosity ranged from 37.69% to 61.01% (average 48.43%), the transverse resistance ranged from 805.20 to 14236.81 Ωm² (average 4765.36 Ωm²), and the protective capacities ranged from 0.07 to 1.63 mhos (average 0.48 mhos). Transmissivity values varied from 37.51 to 799.26 m²/day (average 243.42 m²/day), anisotropy values from 0.27 to 2.79 (average 0.77), transverse resistivities from 10.59 Ω-m to 208.14 Ω-m (average 86.15 Ω-m), longitudinal resistivities from 19.74 Ω-m (average 280.98 Ω-m), and effective resistivity values from 23.68 to 257.53 Ω-m (average 130.83 Ω-m). Hydraulic conductivity varied from 2.18 to 20.18 m/day, with an average of 7.37 m/day. Aquifer hydraulic conductivity and transmissivity were evaluated using Dar-Zarrouk criteria, which separated the area into good and moderate groundwater production zones. When pumping test data is not available, the study shows how surface geophysics may be used to estimate aquifer hydraulic parameters. Electrical method VES Dar-Zarrouk parameters hydraulic parameters longitudinal resistivity transverse resistivity and anisotropy Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 12 Jan, 2026 Reviews received at journal 03 Jan, 2026 Reviews received at journal 02 Jan, 2026 Reviews received at journal 19 Dec, 2025 Reviewers agreed at journal 13 Dec, 2025 Reviewers agreed at journal 13 Dec, 2025 Reviewers agreed at journal 11 Dec, 2025 Reviewers invited by journal 11 Dec, 2025 Editor assigned by journal 10 Dec, 2025 Submission checks completed at journal 08 Dec, 2025 First submitted to journal 07 Dec, 2025 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. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8300553","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":559826699,"identity":"31253d89-7b4a-40a0-a669-fa1f43a59611","order_by":0,"name":"Somvir 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