Vulnerability study of groundwater using interaction-based model in Musi River Basin, Telangana, India

Vulnerability study of groundwater using interaction-based model in Musi River Basin, Telangana, 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 Vulnerability study of groundwater using interaction-based model in Musi River Basin, Telangana, India N. C. Mondal, S. Chandrapuri This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4935850/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 25 Mar, 2025 Read the published version in Environmental Earth Sciences → Version 1 posted 9 You are reading this latest preprint version Abstract This article aims to develop an interaction-based model for assessing hydrogeological risks by quantifying uncertainties in parameters such as precipitation, soil moisture, evapotranspiration, surface water runoff, and groundwater level. The model is applied to eight sub-basins of the Musi River in Telangana, India, to compare their hydrogeological vulnerabilities. The results indicate that the Musi basin receives substantial annual rainfall, with significant variability in precipitation levels across different sub-basins and years. A large proportion of the precipitation occurs during the monsoon season from June to September. Increased rainfall significantly raises water levels, demonstrating a direct correlation between rainfall and groundwater depth. This relationship is crucial for effective water management. Rainfall variability is considerable, leading to significant fluctuations in water levels, reflecting the basin's hydrological responsiveness. Entropy measures highlight the complexity and predictability of hydrological interactions. During the monsoon, M7-Osman Sagar sub-basin shows significant recharge, but the M4-Shamirpet sub-basin the least. Whereas the M6-Hussain Sagar exhibits a stable recharge pattern year-round. Evapotranspiration and depth to water level interactions vary across sub-basins, indicating differences in water availability and atmospheric conditions. The highest soil moisture interaction, particularly during the monsoon has observed at a few sub-basins. Surface runoff and depth to water level interactions also vary, with M3-Bikkeru having the highest interaction, suggesting high responsiveness to runoff. Groundwater vulnerability classifications based on two diverse hydrological attributes indicate varying levels of risk across the sub-basins. These findings underscore the importance of understanding basin-specific interactions for effective water resource management and planning, particularly in regions with varied hydrological responses to rainfall and groundwater resources. This nuanced approach aids in designing effective strategies for irrigation, water storage, and flood management tailored to each basin's unique characteristics. Rainfall groundwater level soil moisture runoff entropy aquifer vulnerability Musi basin Telangana Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 25 Mar, 2025 Read the published version in Environmental Earth Sciences → Version 1 posted Editorial decision: Revision requested 09 Nov, 2024 Reviews received at journal 04 Nov, 2024 Reviews received at journal 28 Oct, 2024 Reviewers agreed at journal 30 Sep, 2024 Reviewers agreed at journal 30 Sep, 2024 Reviewers invited by journal 28 Sep, 2024 Editor assigned by journal 20 Aug, 2024 Submission checks completed at journal 20 Aug, 2024 First submitted to journal 19 Aug, 2024 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. 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-4935850","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":376137678,"identity":"de8efcfe-d3eb-4fe0-bf42-9315cccb4ef9","order_by":0,"name":"N. C. 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