Spatial Analysis of Neo-tectonic Signatures in Lower Subansiri Sub-basin using Morphometric Parameters and Fuzzy-AHP

Spatial Analysis of Neo-tectonic Signatures in Lower Subansiri Sub-basin using Morphometric Parameters and Fuzzy-AHP | 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 Spatial Analysis of Neo-tectonic Signatures in Lower Subansiri Sub-basin using Morphometric Parameters and Fuzzy-AHP Francis Sangma, Balamurugan Guru This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8057270/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 12 You are reading this latest preprint version Abstract The present study investigates the neo-tectonic signatures in the Lower Subansiri River sub-basin, a geo-dynamically active segment of the Eastern Himalayan Syntaxis. Remote Sensing and GIS-based morphometric analyses were conducted across twenty-four selected indices, such as the Bifurcation Ratio (Rbm), Elongation Ratio (Re), and Stream Length Gradient (Slg), categorized into linear, areal, and relief aspects. Interpolation methods play a key role in geospatial analysis by predicting unknown spatial values from known data points, enabling the generation of continuous tectonic deformation maps. The study area was divided into uniform grid cells using GIS tools, and morphometric indices were computed for each grid to generate thematic maps based on the defined parameters. The Fuzzy Analytic Hierarchy Process (FAHP) was employed to prioritize and integrate the selected indices by ranking tectonic signatures through pairwise comparison and fuzzy logic, calibrated with real-world spatial parameters such as slope, elevation, relief, and drainage density. The resulting prioritized weightages are unitless and classified into five categories of neo-tectonic signatures: very low (3.8–4.7), low (4.7–5.1), medium (5.1–5.5), high (5.5–5.9), and very high (5.9–7.3). The majority of the Lower Subansiri sub-basin falls under the high and very high categories, reflecting significant neo-tectonic activity. Ground-truth validation was carried out to confirm that the FAHP-derived weightages accurately reflect the field conditions. Accordingly, 207 field observation points were selected to verify the presence of neo-tectonic signatures within the study area and validated using Kappa method and obtained the accuracy of moderate to perfect agreements between to model vs field visit. This research provides a valuable framework and reference for geoscientists, geomorphologists, policymakers, and planners to develop context-specific and sustainable disaster risk reduction strategies for the region. Morphometric Neo-tectonic GIS remote sensing FAHP Subansiri sub-basin Full Text Additional Declarations No competing interests reported. Tables 1 to 7 are available in the Supplementary Files section. Supplementary Files 3TableUpdated7Nov2025.docx Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 08 Dec, 2025 Reviews received at journal 04 Dec, 2025 Reviews received at journal 21 Nov, 2025 Reviews received at journal 21 Nov, 2025 Reviews received at journal 19 Nov, 2025 Reviewers agreed at journal 13 Nov, 2025 Reviewers agreed at journal 13 Nov, 2025 Reviewers agreed at journal 11 Nov, 2025 Reviewers agreed at journal 11 Nov, 2025 Reviewers invited by journal 11 Nov, 2025 Submission checks completed at journal 10 Nov, 2025 First submitted to journal 10 Nov, 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. 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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-8057270","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":547728429,"identity":"5091520f-9f11-4b11-8d87-45996c35590c","order_by":0,"name":"Francis Sangma","email":"","orcid":"","institution":"Francis Sangma Centre for Geo-informatics, Tata Institute of Social Sciences","correspondingAuthor":false,"prefix":"","firstName":"Francis","middleName":"","lastName":"Sangma","suffix":""},{"id":547728430,"identity":"ba5ddb1e-687e-4008-ada7-0fb6c1f87fde","order_by":1,"name":"Balamurugan 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Subansiri Sub-basin using Morphometric Parameters and Fuzzy-AHP","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"discover-geoscience","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Discover Geoscience](https://www.springer.com/journal/44288)","snPcode":"44288","submissionUrl":"https://submission.nature.com/new-submission/44288","title":"Discover Geoscience","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Morphometric, Neo-tectonic, GIS, remote sensing, FAHP, Subansiri sub-basin","lastPublishedDoi":"10.21203/rs.3.rs-8057270/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8057270/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe present study investigates the neo-tectonic signatures in the Lower Subansiri River sub-basin, a geo-dynamically active segment of the Eastern Himalayan Syntaxis. Remote Sensing and GIS-based morphometric analyses were conducted across twenty-four selected indices, such as the Bifurcation Ratio (Rbm), Elongation Ratio (Re), and Stream Length Gradient (Slg), categorized into linear, areal, and relief aspects. Interpolation methods play a key role in geospatial analysis by predicting unknown spatial values from known data points, enabling the generation of continuous tectonic deformation maps. The study area was divided into uniform grid cells using GIS tools, and morphometric indices were computed for each grid to generate thematic maps based on the defined parameters. The Fuzzy Analytic Hierarchy Process (FAHP) was employed to prioritize and integrate the selected indices by ranking tectonic signatures through pairwise comparison and fuzzy logic, calibrated with real-world spatial parameters such as slope, elevation, relief, and drainage density. The resulting prioritized weightages are unitless and classified into five categories of neo-tectonic signatures: very low (3.8\u0026ndash;4.7), low (4.7\u0026ndash;5.1), medium (5.1\u0026ndash;5.5), high (5.5\u0026ndash;5.9), and very high (5.9\u0026ndash;7.3). The majority of the Lower Subansiri sub-basin falls under the high and very high categories, reflecting significant neo-tectonic activity. Ground-truth validation was carried out to confirm that the FAHP-derived weightages accurately reflect the field conditions. Accordingly, 207 field observation points were selected to verify the presence of neo-tectonic signatures within the study area and validated using Kappa method and obtained the accuracy of moderate to perfect agreements between to model vs field visit. This research provides a valuable framework and reference for geoscientists, geomorphologists, policymakers, and planners to develop context-specific and sustainable disaster risk reduction strategies for the region.\u003c/p\u003e","manuscriptTitle":"Spatial Analysis of Neo-tectonic Signatures in Lower Subansiri Sub-basin using Morphometric Parameters and Fuzzy-AHP","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-11-20 03:18:50","doi":"10.21203/rs.3.rs-8057270/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-12-08T08:07:13+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-04T13:49:54+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-11-21T20:55:02+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-11-21T15:09:09+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-11-19T19:24:07+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"65737599901028525086900076215583711719","date":"2025-11-13T14:12:25+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"293218902886758574005866518180232887376","date":"2025-11-13T08:14:11+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"144148941317268090577866378542975665010","date":"2025-11-11T10:24:11+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"146407017341805992455473080789246050753","date":"2025-11-11T07:16:23+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-11-11T06:49:41+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-11-10T15:47:09+00:00","index":"","fulltext":""},{"type":"submitted","content":"Discover Geoscience","date":"2025-11-10T15:41:01+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"discover-geoscience","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Discover Geoscience](https://www.springer.com/journal/44288)","snPcode":"44288","submissionUrl":"https://submission.nature.com/new-submission/44288","title":"Discover Geoscience","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"6f550daf-9354-4fad-ab21-29167e4b3ca1","owner":[],"postedDate":"November 20th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-04-29T06:08:32+00:00","versionOfRecord":[],"versionCreatedAt":"2025-11-20 03:18:50","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8057270","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8057270","identity":"rs-8057270","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}