{"paper_id":"4d412cfe-46c2-4c23-a145-e3abf267c1fd","body_text":"Enhancing accuracy of slope stability analysis on coarse grid for wide-range applications | 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 Enhancing accuracy of slope stability analysis on coarse grid for wide-range applications Heemin Ko, Hyunuk An, Minseok Kim, Seungjun Lee This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7015768/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 The frequency and scale of landslides have been increasing worldwide because of abnormal rainfall patterns induced by climate change. To prevent such disasters, numerous physical models have been developed. However, few studies have explored the application of these models to large watersheds. Therefore, to contribute to landslide damage mitigation in large-scale watersheds, we used coarse-resolution grids for application in large-scale watersheds, and slope a crucial factor in landslide analysis was utilized for the analysis using the TiVaSS (Time-Variant Slope Stability) model. This study simulated the landslide event of July 27, 2011 in the Mt. Umyeon watershed in the Republic of Korea using slope data with three different resolutions (10 m, 30 m, and 90 m). Receiver operating characteristic (ROC) and was applied to quantitatively analyze the performance of the TiVaSS using three different slope resolutions. The results show that TiVaSS performs favorably in landslide slope stability prediction. Additionally, using the slope extracted from the fine-resolution Digital Elevation Model as coarse-resolution grid leads to higher accuracy. Therefore, the landslide analysis using independent slope data proposed in this study was evaluated for effectiveness for large-scale watershed landslide analysis. Landslides Large-scale Watersheds DEM Resolution Slope Data TiVaSS Model Full Text 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. 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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-7015768\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":true,\"archivedVersions\":[],\"articleType\":\"Research Article\",\"associatedPublications\":[],\"authors\":[{\"id\":496051365,\"identity\":\"81c8838f-b6e9-43a1-a6c6-faab9366ea31\",\"order_by\":0,\"name\":\"Heemin Ko\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Chungnam National University\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Heemin\",\"middleName\":\"\",\"lastName\":\"Ko\",\"suffix\":\"\"},{\"id\":496051366,\"identity\":\"eab2ba79-d687-4383-8a75-9707f644f4dd\",\"order_by\":1,\"name\":\"Hyunuk An\",\"email\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAsElEQVRIiWNgGAWjYBACAzB5wAbGTyBaSxrpWg6ToMVcIsfsMc+Z8/LmEgmMH34wpOUT1GI5I8fcmOfGbcOdMxKYJXsYciwbCDrsRo6ZNM+H2wkGNxIYpBkYKgwI2gLVcg6khfk3CVpuHABpYQPakkOEljPPyiTnnEk23HDmYZtlj0EaEVqOJ2+TeHPMTh7IOHzjR0UyYS0MAgkwFmMDLJoIAP4DxKgaBaNgFIyCEQ0Ame06foCE8tkAAAAASUVORK5CYII=\",\"orcid\":\"https://orcid.org/0000-0002-4566-5159\",\"institution\":\"Chungnam National University\",\"correspondingAuthor\":true,\"prefix\":\"\",\"firstName\":\"Hyunuk\",\"middleName\":\"\",\"lastName\":\"An\",\"suffix\":\"\"},{\"id\":496051367,\"identity\":\"dc5c75a0-2784-48a8-b293-08e2cb4f121d\",\"order_by\":2,\"name\":\"Minseok Kim\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Korea Institute of Geoscience and Mineral Resources\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Minseok\",\"middleName\":\"\",\"lastName\":\"Kim\",\"suffix\":\"\"},{\"id\":496051368,\"identity\":\"5ac2096c-c7ed-45f8-bfb7-ecf763a4d755\",\"order_by\":3,\"name\":\"Seungjun Lee\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"KIGAM: Korea Institute of Geoscience and Mineral Resources\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Seungjun\",\"middleName\":\"\",\"lastName\":\"Lee\",\"suffix\":\"\"}],\"badges\":[],\"createdAt\":\"2025-07-01 04:12:46\",\"currentVersionCode\":1,\"declarations\":\"\",\"doi\":\"10.21203/rs.3.rs-7015768/v1\",\"doiUrl\":\"https://doi.org/10.21203/rs.3.rs-7015768/v1\",\"draftVersion\":[],\"editorialEvents\":[],\"editorialNote\":\"\",\"failedWorkflow\":false,\"files\":[{\"id\":91790134,\"identity\":\"330d8e3b-a67d-4eae-9f3e-f6cd684d98f1\",\"added_by\":\"auto\",\"created_at\":\"2025-09-21 11:20:28\",\"extension\":\"pdf\",\"order_by\":1,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"manuscript-pdf\",\"size\":1899569,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"20250630manuscript.pdf\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7015768/v1_covered_8aadc4ee-6674-4d92-a686-ae9a9705ed5e.pdf\"}],\"financialInterests\":\"\",\"formattedTitle\":\"Enhancing accuracy of slope stability analysis on coarse grid for wide-range applications\",\"fulltext\":[],\"fulltextSource\":\"\",\"fullText\":\"\",\"funders\":[],\"hasAdminPriorityOnWorkflow\":false,\"hasManuscriptDocX\":false,\"hasOptedInToPreprint\":true,\"hasPassedJournalQc\":\"\",\"hasAnyPriority\":false,\"hideJournal\":true,\"highlight\":\"\",\"institution\":\"\",\"isAcceptedByJournal\":false,\"isAuthorSuppliedPdf\":true,\"isDeskRejected\":\"\",\"isHiddenFromSearch\":false,\"isInQc\":false,\"isInWorkflow\":false,\"isPdf\":true,\"isPdfUpToDate\":true,\"isWithdrawnOrRetracted\":false,\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"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},\"keywords\":\"Landslides, Large-scale Watersheds, DEM Resolution, Slope Data, TiVaSS Model\",\"lastPublishedDoi\":\"10.21203/rs.3.rs-7015768/v1\",\"lastPublishedDoiUrl\":\"https://doi.org/10.21203/rs.3.rs-7015768/v1\",\"license\":{\"name\":\"CC BY 4.0\",\"url\":\"https://creativecommons.org/licenses/by/4.0/\"},\"manuscriptAbstract\":\"\\u003cp\\u003eThe frequency and scale of landslides have been increasing worldwide because of abnormal rainfall patterns induced by climate change. To prevent such disasters, numerous physical models have been developed. However, few studies have explored the application of these models to large watersheds. Therefore, to contribute to landslide damage mitigation in large-scale watersheds, we used coarse-resolution grids for application in large-scale watersheds, and slope a crucial factor in landslide analysis was utilized for the analysis using the TiVaSS (Time-Variant Slope Stability) model. This study simulated the landslide event of July 27, 2011 in the Mt. Umyeon watershed in the Republic of Korea using slope data with three different resolutions (10 m, 30 m, and 90 m). Receiver operating characteristic (ROC) and \\u003cspan class=\\\"InlineEquation\\\"\\u003e\\u003c/span\\u003ewas applied to quantitatively analyze the performance of the TiVaSS using three different slope resolutions. The results show that TiVaSS performs favorably in landslide slope stability prediction. Additionally, using the slope extracted from the fine-resolution Digital Elevation Model as coarse-resolution grid leads to higher accuracy. 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