Identification and arrangement of sub watersheds to soil corrosion and deposit profit exposure using RUSLE

Identification and arrangement of sub watersheds to soil corrosion and deposit profit exposure using RUSLE | 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 Identification and arrangement of sub watersheds to soil corrosion and deposit profit exposure using RUSLE Kaveh Ostad Ali Askari, Peiman Kianmehr This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5706263/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 properties of soil corrosion are worst in developed nations, where agriculturalists are impotent to recover soil productiveness applying acquired inputs. Data on terrestrial damage is indispensable for endorsing agronomic efficiency and natural resource organization. Simulation mockups are the most operative method to forecast soil corrosion procedures and their result by applying GIS (Geographic Information System) and RS (Remote Sensing). The soil loss was assessed by applying the Revised Universal Soil Equation (RUSLE) prototypical to defining zones that need previous soil preservation procedures and to forecast the quantity of soil loss at the Dalkhani basin. The layers were then covered and increased pixel by pixel, applying the RUSLE prototypical and raster calculator-reusing instrument in Arc GIS 10 situation. The discovery of this investigation includes spatially dispersed soil loss degree and a corrosion peril plan of the investigation zone. Yearly soil losses variety from 0 in the plains of the watershed to more than 510 tons ha-1.5 year-1.5 in much of the sharper grades on branches. Topographical roughness and low flora protection donate to very high soil corrosion in these zones. Therefore, organizers should adapt their soil and water preservation procedures operation plans by investment in the very crucial portion of the watershed first and then increasingly to the required some portion to prevent the effect of runoff at its beginning point. Hydrology Revised Universal Soil Equation RUSLE Prototypical Low Flora Protection Topographical Roughness Geographic Information System Soil Corrosion Agronomic Efficiency Remote Sensing Soil Loss Natural Resource Organization Arc GIS 10 Dalkhani Basin Full Text Additional Declarations The authors declare no competing interests. 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. 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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-5706263","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":394109474,"identity":"b77cb1cc-aef3-4808-a495-7e1cc2224ce3","order_by":0,"name":"Kaveh Ostad Ali Askari","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+UlEQVRIiWNgGAWjYBACCSBmBrPYGxsOJFSAuMwNRGrhOXzwwYczIC4jsVok0pINZ7aBWAS0SLafMXxcwGAjz9+QYybNO682mr8dqOVHxTacWqR5coyNZzCkGc44cAaoZdvx3BmHGRsYe87cxqlFjiEtTZqHAajsYA9Iy7HcBiCbmbENjxb+Z+m/gVrs5x/mAWqZcyx3PiEt0hLJx5iBWhI3HGMDer+hJncDIS2SMx4fluYxSEveeIYZGMjHDuRuBDsSj18kzic2fuapsLGdd/8hMCpr6nLnnQdG0I8K3FogwADOOgwmDxBQjwLqSFE8CkbBKBgFIwQAAASgXBak3BGRAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0001-5637-1124","institution":"American University in Dubai","correspondingAuthor":true,"prefix":"","firstName":"Kaveh","middleName":"Ostad Ali","lastName":"Askari","suffix":""},{"id":394109475,"identity":"264277a8-5717-4218-8908-c002ad915c1a","order_by":1,"name":"Peiman Kianmehr","email":"","orcid":"","institution":"American University in Dubai","correspondingAuthor":false,"prefix":"","firstName":"Peiman","middleName":"","lastName":"Kianmehr","suffix":""}],"badges":[],"createdAt":"2024-12-24 12:39:32","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-5706263/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5706263/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":72304416,"identity":"60d7f477-8f6f-4f6d-9f17-7e5acf15c9ea","added_by":"auto","created_at":"2024-12-25 03:22:20","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":283907,"visible":true,"origin":"","legend":"","description":"","filename":"RevisedManuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5706263/v1_covered_c11128a5-500f-4545-9c1c-ac9d34268491.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eIdentification and arrangement of sub watersheds to soil corrosion and deposit profit exposure using RUSLE\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"American University in Dubai","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":"Revised Universal Soil Equation, RUSLE Prototypical, Low Flora Protection, Topographical Roughness, Geographic Information System, Soil Corrosion, Agronomic Efficiency, Remote Sensing, Soil Loss, Natural Resource Organization, Arc GIS 10, Dalkhani Basin, ","lastPublishedDoi":"10.21203/rs.3.rs-5706263/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5706263/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe properties of soil corrosion are worst in developed nations, where agriculturalists are impotent to recover soil productiveness applying acquired inputs. \u0026nbsp;Data on terrestrial damage is indispensable for endorsing agronomic efficiency and natural resource organization. Simulation mockups are the most operative method to forecast soil corrosion procedures and their result by applying GIS (Geographic Information System) and RS (Remote Sensing). The soil loss was assessed by applying the Revised Universal Soil Equation (RUSLE) prototypical to defining zones that need previous soil preservation procedures and to forecast the quantity of soil loss at the Dalkhani basin. The layers were then covered and increased pixel by pixel, applying the RUSLE prototypical and raster calculator-reusing instrument in Arc GIS 10 situation. The discovery of this investigation includes spatially dispersed soil loss degree and a corrosion peril plan of the investigation zone. Yearly soil losses variety from 0 in the plains of the watershed to more than 510 tons ha-1.5 year-1.5 in much of the sharper grades on branches. Topographical roughness and low flora protection donate to very high soil corrosion in these zones. 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