RETRACTED: Comparative Performance of SWAT and Machine Learning Models for Runoff Prediction During Extreme Climatic Events: A Case Study of the Hunza River Basin, Pakistan

RETRACTED: Comparative Performance of SWAT and Machine Learning Models for Runoff Prediction During Extreme Climatic Events: A Case Study of the Hunza River Basin, Pakistan | 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 RETRACTED: Comparative Performance of SWAT and Machine Learning Models for Runoff Prediction During Extreme Climatic Events: A Case Study of the Hunza River Basin, Pakistan Muhammad Ghawas Kareem, Tang Deshan, Muhammad Farhan, Anis ur Rehman Khalil, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7407925/v2 This work is licensed under a CC BY 4.0 License Archived Versions: Posted Version 2 posted You are reading this older preprint version Read the latest preprint version → Version 1 posted Editorial Note The authors have requested that this preprint be removed from Research Square. Editorial notes are used to provide important context regarding the topic of a preprint or to alert readers to potential issues concerning that preprint or a downstream publication associated with it. For more information on editorial notes, see our Editorial Policies . Abstract The authors have requested that this preprint be removed from Research Square. Cite Share Download PDF Archived Versions: Posted Version 2 posted You are reading this older preprint version Read the latest preprint version → Version 1 posted 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-7407925","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[{"code":2,"date":"2025-09-15 14:57:54","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"theoretical-and-applied-climatology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"taac","sideBox":"Learn more about [Theoretical and Applied Climatology](https://www.springer.com/journal/704)","snPcode":"704","submissionUrl":"https://submission.nature.com/new-submission/704/3","title":"Theoretical and Applied 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