Event-Based Hydrological Modeling Using HEC-HMS with a Focus on the Infiltration Mechanism: A Case Study in Iran

Event-Based Hydrological Modeling Using HEC-HMS with a Focus on the Infiltration Mechanism: A Case Study in Iran | 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 Event-Based Hydrological Modeling Using HEC-HMS with a Focus on the Infiltration Mechanism: A Case Study in Iran sohrab Alizadeh, Alireza Zamani Nouri, babak aminnezhad This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5598591/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 08 Jul, 2025 Read the published version in Acta Geophysica → Version 1 posted 5 You are reading this latest preprint version Abstract This study examines the influence of flood event types on the accuracy of unit hydrograph estimation. The research utilizes the soil moisture ratio (θ) and soil storage capacity (S) to assess the reliability of a linear performance function. This function offers a probable range for the maximum flood occurrence in watersheds. A probabilistic approach addresses the uncertainty of estimating the C p parameter in the Snyder Unit Hydrograph Artificial method. Importance sampling is used, considering the probability distribution equations of SCS-CN (Soil Conservation Service-Curve Number) runoff losses. The C p parameter is refined by determining the threshold for variations in the potential maximum flow rates within the watershed. The foundation of this method lies in identifying the sensitivity of the shape parameter (a) in the SCS-CN runoff infiltration rate equations. A new cumulative probability distribution of soil moisture capacity specific to the watershed is introduced. The results obtained for the Shadegan watershed in southwestern Iran indicate a 21% variation in the probability of failure within different probability classes of the infiltration distribution relationship for the shape parameters (a). These threshold variations result in an estimated flow of 14.93 mm in the Shadegan watershed, representing a difference of 12.41 mm under minimum conditions and 27.52 mm under maximum conditions compared to the initial estimate using the SCS-CN base method. Flood Event Snyder-UH Soil Wetting Soil Storage Full Text Cite Share Download PDF Status: Published Journal Publication published 08 Jul, 2025 Read the published version in Acta Geophysica → Version 1 posted Reviewers agreed at journal 30 Mar, 2025 Reviewers invited by journal 28 Mar, 2025 Editor assigned by journal 28 Mar, 2025 First submitted to journal 26 Mar, 2025 Editorial decision: Minor revisions 15 Jan, 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. 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-5598591","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":435323015,"identity":"efcbb928-bc41-4a1b-9157-8532fb794240","order_by":0,"name":"sohrab Alizadeh","email":"","orcid":"","institution":"Roudehen Islamic Azad University","correspondingAuthor":false,"prefix":"","firstName":"sohrab","middleName":"","lastName":"Alizadeh","suffix":""},{"id":435323016,"identity":"09337266-9106-4343-955e-f42dde5fe84a","order_by":1,"name":"Alireza Zamani Nouri","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+klEQVRIiWNgGAWjYDCCA1CajZn5+I8PFUAWM3MDkVrY2RIkZ5wBaWEkUgsDP4+BNG8biEVAC9/tA8wffubY5fEx8xgY886rjeZvB2r5UbENpxbJcwkMhr3bkovZmNkKEuduO5474zBjA2PPmds4tRgAXZ/Au405sY2ZecOBt9uO5TYAtTAztuHXcvDvtnqgFgbDBt45x3LnE6GFsZl322GgFhZjRt6GmtwNhLRInmFsZpbddhyohS2NccaxA7kbgVoO4vML3xnmwx/fbqtOnN9/+BjDh5q63HnnDx988KMCtxb0WDgMJg/gUY8B6khRPApGwSgYBSMEAACDgFuNZVvdhwAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0002-4570-3741","institution":"Islamic Azad University Shahr-e-Qods Branch","correspondingAuthor":true,"prefix":"","firstName":"Alireza","middleName":"Zamani","lastName":"Nouri","suffix":""},{"id":435323017,"identity":"aae5cec2-6178-4d23-b1b3-35cff2167627","order_by":2,"name":"babak aminnezhad","email":"","orcid":"","institution":"Roudehen Islamic Azad University","correspondingAuthor":false,"prefix":"","firstName":"babak","middleName":"","lastName":"aminnezhad","suffix":""}],"badges":[],"createdAt":"2024-12-07 10:58:19","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5598591/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5598591/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s11600-025-01651-0","type":"published","date":"2025-07-08T15:56:50+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":86699405,"identity":"ecfdbfbe-8ad4-4e0b-9598-e405b4e9dd74","added_by":"auto","created_at":"2025-07-14 16:09:02","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2263299,"visible":true,"origin":"","legend":"","description":"","filename":"shadeganfinalpaper.1403114030920.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5598591/v1_covered_f039a0b3-2458-4c70-a985-ba50e3b8ee96.pdf"}],"financialInterests":"","formattedTitle":"Event-Based Hydrological Modeling Using HEC-HMS with a Focus on the Infiltration Mechanism: A Case Study in Iran","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":true,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"acta-geophysica","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"agph","sideBox":"Learn more about [Acta Geophysica](http://link.springer.com/journal/11600)","snPcode":"11600","submissionUrl":"https://www.editorialmanager.com/agph/default2.aspx","title":"Acta Geophysica","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Flood Event, Snyder-UH, Soil Wetting, Soil Storage","lastPublishedDoi":"10.21203/rs.3.rs-5598591/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5598591/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study examines the influence of flood event types on the accuracy of unit hydrograph estimation. The research utilizes the soil moisture ratio (θ) and soil storage capacity (S) to assess the reliability of a linear performance function. This function offers a probable range for the maximum flood occurrence in watersheds. A probabilistic approach addresses the uncertainty of estimating the C\u003csub\u003ep\u003c/sub\u003e parameter in the Snyder Unit Hydrograph Artificial method. Importance sampling is used, considering the probability distribution equations of SCS-CN (Soil Conservation Service-Curve Number) runoff losses. The C\u003csub\u003ep\u003c/sub\u003e parameter is refined by determining the threshold for variations in the potential maximum flow rates within the watershed. The foundation of this method lies in identifying the sensitivity of the shape parameter (a) in the SCS-CN runoff infiltration rate equations. A new cumulative probability distribution of soil moisture capacity specific to the watershed is introduced. 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