Assessment of Coastal Compound Flooding using an Integrated Coupled Modelling and Remote Sensing Approach

Assessment of Coastal Compound Flooding using an Integrated Coupled Modelling and Remote Sensing Approach | 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 Article Assessment of Coastal Compound Flooding using an Integrated Coupled Modelling and Remote Sensing Approach ANKUSH CHARAVANDE, Chandra Mohan Bhatt This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7751325/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study presents an integrated compound flood modelling framework for the analysis of Cyclone FANI (2019), which caused extensive inundation in the coastal regions of Odisha, India. By coupling storm surge dynamics from the ADCIRC finite element model with inland riverine flooding using the HEC-RAS hydrodynamic model, the framework allows for high-resolution simulation of compound coastal inundation. The approach leverages multi-sensor datasets, including SRTM DEM for topography, GEBCO bathymetry, MODIS/Sentinel land cover, IMDAA rainfall and discharge data, and Sentinel‑1 SAR flood imagery. Results reveal that the coupled modelling captures nonlinear interactions among surge, river discharge, and local rainfall, highlighting pronounced bidirectional flows at the Devi River mouth. Here, ocean currents (0.8–1.2 m/s) intruded upstream against river discharge (0.5–0.7 m/s), producing stagnation zones and elevating water levels by approximately 0.3 m relative to uncoupled simulations. The coupled ADCIRC–HEC-RAS approach generated a 486 km² inundation extent, closely matching the Sentinel‑1 SAR-observed 480 km² and outperforming the HEC-RAS-only result of 452 km². Earth and environmental sciences/Climate sciences Earth and environmental sciences/Environmental sciences Earth and environmental sciences/Hydrology Earth and environmental sciences/Natural hazards Earth and environmental sciences/Ocean sciences ADCIRC HEC-RAS Compound Flooding Costal Disaster Coupled Modelling Flood Modelling Full Text Additional Declarations No competing interests reported. Supplementary Files CopuledSupplementaryMaterial.docx Cite Share Download PDF Status: Posted Version 1 posted 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-7751325","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":533805748,"identity":"0f2488ee-e200-4e5f-88b9-1a42551f6351","order_by":0,"name":"ANKUSH 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By coupling storm surge dynamics from the ADCIRC finite element model with inland riverine flooding using the HEC-RAS hydrodynamic model, the framework allows for high-resolution simulation of compound coastal inundation. The approach leverages multi-sensor datasets, including SRTM DEM for topography, GEBCO bathymetry, MODIS/Sentinel land cover, IMDAA rainfall and discharge data, and Sentinel‑1 SAR flood imagery. Results reveal that the coupled modelling captures nonlinear interactions among surge, river discharge, and local rainfall, highlighting pronounced bidirectional flows at the Devi River mouth. Here, ocean currents (0.8\u0026ndash;1.2 m/s) intruded upstream against river discharge (0.5\u0026ndash;0.7 m/s), producing stagnation zones and elevating water levels by approximately 0.3 m relative to uncoupled simulations. The coupled ADCIRC\u0026ndash;HEC-RAS approach generated a 486 km\u0026sup2; inundation extent, closely matching the Sentinel‑1 SAR-observed 480 km\u0026sup2; and outperforming the HEC-RAS-only result of 452 km\u0026sup2;.\u003c/p\u003e","manuscriptTitle":"Assessment of Coastal Compound Flooding using an Integrated Coupled Modelling and Remote Sensing Approach","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-27 12:36:53","doi":"10.21203/rs.3.rs-7751325/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"6a73f5d4-fb94-46f8-b1cc-5a1f936961fd","owner":[],"postedDate":"October 27th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":56751831,"name":"Earth and environmental sciences/Climate sciences"},{"id":56751832,"name":"Earth and environmental sciences/Environmental sciences"},{"id":56751833,"name":"Earth and environmental sciences/Hydrology"},{"id":56751834,"name":"Earth and environmental sciences/Natural hazards"},{"id":56751835,"name":"Earth and environmental sciences/Ocean sciences"}],"tags":[],"updatedAt":"2025-12-04T15:23:19+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-27 12:36:53","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7751325","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7751325","identity":"rs-7751325","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}