Evaluation of Errors and Uncertainties in Debris Flow Modeling with RAMMS

preprint OA: closed CC-BY-4.0
📄 Open PDF Full text JSON View at publisher

Abstract

The Rapid Mass Movement Simulation (RAMMS) which is one of the most commonly used tools for debris flow modeling, especially in Europe, requires input data such as Digital Elevation Model (DEM), the Voellmy-fluid friction coefficients, etc. The main aim of this study is to evaluate the uncertainties in RAMMS outputs using various input data. For this purpose, a real debris flow event was considered whose observed data were available. After the calibration of the model, various input data were used to assess the deviation of the outputs from the corresponding calibrated one. Different scenarios were defined, which included different DEM cell sizes (1, 2, 3, 4, 5, 10, 15, and 20 meters), different values of friction coefficient, different directions of inflow, and active or inactive consideration of terrain curvature. The final results showed that only by increasing the DEM cell size, holding all other parameters constant, the accuracy of the model outputs (e. g. overall inundation area) reduced intensively which was up to 724% for DEM-20 m in comparison to DEM-1 m. Also, the results showed that the impact of the Dry-Coulomb type friction coefficient (µ) was much greater than the viscous-turbulent friction coefficient (ξ) on the results. In addition, although the curvature of the debris flow path in this study was relatively sound, the effect of the terrain curvature activation on the results was not significant. Furthermore, changing in inflow direction to up to ± 50 degrees did not cause a significant change in the overall results.
Full text 10,409 characters · extracted from preprint-html · click to expand
Evaluation of Errors and Uncertainties in Debris Flow Modeling with RAMMS | 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 Evaluation of Errors and Uncertainties in Debris Flow Modeling with RAMMS GALOIE Majid, Artemis MOTAMEDI This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3953511/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 Rapid Mass Movement Simulation (RAMMS) which is one of the most commonly used tools for debris flow modeling, especially in Europe, requires input data such as Digital Elevation Model (DEM), the Voellmy-fluid friction coefficients, etc. The main aim of this study is to evaluate the uncertainties in RAMMS outputs using various input data. For this purpose, a real debris flow event was considered whose observed data were available. After the calibration of the model, various input data were used to assess the deviation of the outputs from the corresponding calibrated one. Different scenarios were defined, which included different DEM cell sizes (1, 2, 3, 4, 5, 10, 15, and 20 meters), different values of friction coefficient, different directions of inflow, and active or inactive consideration of terrain curvature. The final results showed that only by increasing the DEM cell size, holding all other parameters constant, the accuracy of the model outputs (e. g. overall inundation area) reduced intensively which was up to 724% for DEM-20 m in comparison to DEM-1 m. Also, the results showed that the impact of the Dry-Coulomb type friction coefficient (µ) was much greater than the viscous-turbulent friction coefficient (ξ) on the results. In addition, although the curvature of the debris flow path in this study was relatively sound, the effect of the terrain curvature activation on the results was not significant. Furthermore, changing in inflow direction to up to ± 50 degrees did not cause a significant change in the overall results. Modeling uncertainty RAMMS Debris flow modeling DEM resolution friction coefficients Full Text Additional Declarations No competing interests reported. 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-3953511","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":274002454,"identity":"fa459d87-41af-402c-b445-379ba25464b8","order_by":0,"name":"GALOIE Majid","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA40lEQVRIie2RsQrCMBCGr7gWukaE5hVOHFQUV1+joaCro5sRQRfBNaOP0EdIyOBS7Froom+gOAkOthV1MsVNMN/0c7mPy3EAFstPUuMA2C+j4vioSbPiFMroawX0O1ZCh2p+cSeJ3/a2jhITDd5KOnpqUJoxWzRczFpdcQAVoQYSB6Bik8IZrwvMWJRKUIdcgbRYyqRsjourwP3spdAqhRK2JCeUASb88TGsUpAcl50Ths0odbgSOHbz7bh5yibUaXAbUEy0Pq9vPd/f5cE4RT4TYWWfW3ke+nr25Ocui8Vi+W/u+bVZKr7lS5gAAAAASUVORK5CYII=","orcid":"","institution":"Imam Khomeini International University","correspondingAuthor":true,"prefix":"","firstName":"GALOIE","middleName":"","lastName":"Majid","suffix":""},{"id":274002455,"identity":"942335bb-f4d5-4124-a9b5-75e3f44bab99","order_by":1,"name":"Artemis MOTAMEDI","email":"","orcid":"","institution":"Buein Zahra Technical University","correspondingAuthor":false,"prefix":"","firstName":"Artemis","middleName":"","lastName":"MOTAMEDI","suffix":""}],"badges":[],"createdAt":"2024-02-13 12:31:21","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3953511/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3953511/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":53409424,"identity":"61f77812-8b4e-455e-bc33-c7803faeed87","added_by":"auto","created_at":"2024-03-25 16:09:34","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":851552,"visible":true,"origin":"","legend":"","description":"","filename":"MainBodymonti28Jan.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3953511/v1_covered_eeb31223-2e07-47dc-b920-98d525c95376.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Evaluation of Errors and Uncertainties in Debris Flow Modeling with RAMMS","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":"[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},"keywords":"Modeling uncertainty, RAMMS, Debris flow modeling, DEM resolution, friction coefficients","lastPublishedDoi":"10.21203/rs.3.rs-3953511/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3953511/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe Rapid Mass Movement Simulation (RAMMS) which is one of the most commonly used tools for debris flow modeling, especially in Europe, requires input data such as Digital Elevation Model (DEM), the Voellmy-fluid friction coefficients, etc. The main aim of this study is to evaluate the uncertainties in RAMMS outputs using various input data. For this purpose, a real debris flow event was considered whose observed data were available. After the calibration of the model, various input data were used to assess the deviation of the outputs from the corresponding calibrated one. Different scenarios were defined, which included different DEM cell sizes (1, 2, 3, 4, 5, 10, 15, and 20 meters), different values of friction coefficient, different directions of inflow, and active or inactive consideration of terrain curvature. The final results showed that only by increasing the DEM cell size, holding all other parameters constant, the accuracy of the model outputs (e. g. overall inundation area) reduced intensively which was up to 724% for DEM-20 m in comparison to DEM-1 m. Also, the results showed that the impact of the Dry-Coulomb type friction coefficient (µ) was much greater than the viscous-turbulent friction coefficient (ξ) on the results. In addition, although the curvature of the debris flow path in this study was relatively sound, the effect of the terrain curvature activation on the results was not significant. Furthermore, changing in inflow direction to up to ± 50 degrees did not cause a significant change in the overall results.\u003c/p\u003e","manuscriptTitle":"Evaluation of Errors and Uncertainties in Debris Flow Modeling with RAMMS","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-02-22 13:01:51","doi":"10.21203/rs.3.rs-3953511/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":"1e341998-91bb-4468-9bb9-2cca07e91da7","owner":[],"postedDate":"February 22nd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-03-25T16:01:26+00:00","versionOfRecord":[],"versionCreatedAt":"2024-02-22 13:01:51","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3953511","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3953511","identity":"rs-3953511","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-19T01:45:01.086888+00:00
unpaywall
last seen: 2026-05-27T02:00:06.600101+00:00
License: CC-BY-4.0