Warke (Ensete ventricosum) Intervention on Rainfall-Runoff and Prediction of Its Potential Flood Regulation

Warke (Ensete ventricosum) Intervention on Rainfall-Runoff and Prediction of Its Potential Flood Regulation | 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 Warke (Ensete ventricosum) Intervention on Rainfall-Runoff and Prediction of Its Potential Flood Regulation Nigatu Chala Kuke, Yenesew Mengiste Yihun, Yohannes Zerihun Negussie This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6957783/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract Sub-basin eco-hydrological interventions are critical for regulating rainfall intensity and mitigating flood-related water damage through enhanced ecosystem services. In this context, vegetation-driven processes of canopy interception (storage) and stemflow-flux play a pivotal role in altering rainfall-runoff dynamics. In Ethiopia’s Upper Part Awash River Basin, seasonal rainfall frequently triggers destructive floods, necessitating nature-based solutions. This study proposes the Warke plant (Ensete ventricosum) as a novel framework for flood regulation (impacts through flow-flux intensity and surface feeding area), leveraging its unique eco-hydrological traits. The HEC-HMS was employed to develop direct runoff from its hydrological model, while machine learning algorithms (R packages) used for regression and prediction analysis of flow dynamics. The multiple R-squared value of targeted sub-basin, 0.95 confirmed robust strong agreement between the datasets. The prediction analysis reveal that expanding Warke plantations reduced direct runoff depth for flow intensity factors (ψ <1) scenario. The plant’s capacity to store rainwater in its broad leaves, pseudo-stems and enhance soil infiltration, thereby regulating peak flows and mitigating flood damage. Integrating this process significantly improves eco-hydrological resilience. Ecohydrology Warke (Enset) R Direct-runoff Flood mitigation Upper Awash Basin Full Text Cite Share Download PDF Status: Under Review Version 1 posted Reviewers invited by journal 03 Aug, 2025 Editor invited by journal 25 Jul, 2025 Editor assigned by journal 26 Jun, 2025 First submitted to journal 24 Jun, 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-6957783","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":494893059,"identity":"66b8dfeb-7821-42f3-8146-e1e7b4a9372e","order_by":0,"name":"Nigatu Chala Kuke","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABCUlEQVRIiWNgGAWjYDACZgiVwMDOwPggwcAGyGZsPEBQywGQFmYGZoMPFWkgLQ34tTAgtLBJzjhzGCaAG5izs1/8/LHNLo+/mfmBNG/bebu17YeBttTYROPSYtnMUyxxsC25WOIwm4Exb9vt5G1nEoFajqXlNuDQYnCYJwGo5UBiw2EGg2SQFjMg+wBjw2F8WpJ/gLTMP8z+4TBv27lks/MPCWlhPwa2ZcNhHsPGGWcO2JndIGwLm8WZc8mJGw/zFDN8qEhOMLsBtCUBn1/OH398o6LMLnHe8fbtPxIM7OzNzqc/fPChxganFgYGHgMUbiJYZQJO5SDA/gCFa49X8SgYBaNgFIxIAABHbmvIa43nEQAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0003-1259-8217","institution":"Addis Ababa University Addis Ababa Institute of Technology","correspondingAuthor":true,"prefix":"","firstName":"Nigatu","middleName":"Chala","lastName":"Kuke","suffix":""},{"id":494893060,"identity":"d6f4cb2e-0076-4489-b317-3dd8f1616a11","order_by":1,"name":"Yenesew Mengiste Yihun","email":"","orcid":"","institution":"Addis Ababa University Addis Ababa Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Yenesew","middleName":"Mengiste","lastName":"Yihun","suffix":""},{"id":494893061,"identity":"f24992ab-d5ab-489f-867f-cab4ff152eea","order_by":2,"name":"Yohannes Zerihun Negussie","email":"","orcid":"","institution":"Ethiopian Institute of Water Resources","correspondingAuthor":false,"prefix":"","firstName":"Yohannes","middleName":"Zerihun","lastName":"Negussie","suffix":""}],"badges":[],"createdAt":"2025-06-23 14:28:22","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6957783/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6957783/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":88363517,"identity":"812a6c9f-331f-4ecf-9291-7f217eab2d0f","added_by":"auto","created_at":"2025-08-05 16:55:19","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":4708183,"visible":true,"origin":"","legend":"","description":"","filename":"ManuscriptWnhard.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6957783/v1_covered_50440b68-217e-465f-98fc-e313785c6168.pdf"}],"financialInterests":"","formattedTitle":"Warke (Ensete ventricosum) Intervention on Rainfall-Runoff and Prediction of Its Potential Flood Regulation","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"natural-hazards","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"nhaz","sideBox":"Learn more about [Natural Hazards](https://www.springer.com/journal/11069)","snPcode":"11069","submissionUrl":"https://submission.nature.com/new-submission/11069/3","title":"Natural Hazards","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Ecohydrology, Warke (Enset), R, Direct-runoff, Flood mitigation, Upper Awash Basin","lastPublishedDoi":"10.21203/rs.3.rs-6957783/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6957783/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eSub-basin eco-hydrological interventions are critical for regulating rainfall intensity and mitigating flood-related water damage through enhanced ecosystem services. In this context, vegetation-driven processes of canopy interception (storage) and stemflow-flux play a pivotal role in altering rainfall-runoff dynamics. In Ethiopia’s Upper Part Awash River Basin, seasonal rainfall frequently triggers destructive floods, necessitating nature-based solutions. This study proposes the Warke plant (Ensete ventricosum) as a novel framework for flood regulation (impacts through flow-flux intensity and surface feeding area), leveraging its unique eco-hydrological traits. The HEC-HMS was employed to develop direct runoff from its hydrological model, while machine learning algorithms (R packages) used for regression and prediction analysis of flow dynamics. The multiple R-squared value of targeted sub-basin, 0.95 confirmed robust strong agreement between the datasets. The prediction analysis reveal that expanding Warke plantations reduced direct runoff depth for flow intensity factors (ψ \u0026lt;1) scenario. The plant’s capacity to store rainwater in its broad leaves, pseudo-stems and enhance soil infiltration, thereby regulating peak flows and mitigating flood damage. 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