Geological hazard vulnerability assessment based on Cloud model in Zhejiang Province, China

Geological hazard vulnerability assessment based on Cloud model in Zhejiang Province, China | 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 Geological hazard vulnerability assessment based on Cloud model in Zhejiang Province, China Yicheng Ming, Mingtao DING, Heming Ren, Qiangqiang Feng, Yufeng He This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4630240/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 09 May, 2025 Read the published version in Natural Hazards → Version 1 posted 5 You are reading this latest preprint version Abstract Geological hazard vulnerability assessment plays a crucial role in disaster prevention and mitigation strategies. However, current methodologies often prioritize identifying high vulnerability areas, neglecting regional vulnerability level assessment. Addressing the ambiguity and uncertainty inherent in this process is essential for enhancing assessment accuracy. This study focuses on Zhejiang Province, employing an index system of exposure, sensitivity, and coping capacity for vulnerability assessment. Utilizing combination weights based on game theory, we generated the vulnerability distribution map for geological hazards in Zhejiang Province. Subsequently, employing cloud model, we graded vulnerability across Zhejiang Province and its subordinate districts and counties. The results show that: 81% of the areas in Zhejiang Province are very-low vulnerability, with remaining areas classified as low (9%), medium (4%), high (4%), and very-high (2%) vulnerability. High vulnerability areas are primarily concentrated in the plains near the Qiantang River estuary and Hangzhou Bay, alongside coastal regions in southeastern Zhejiang, which have the common points of developed economy and dense population. The cloud model vulnerability grading results show that: Zhejiang Province is very-low vulnerability. Specifically, Gongshu District in Hangzhou is identified as a very-high vulnerability area, with Shangcheng District categorized as high vulnerability. Additionally, there are 5 medium, 26 low, and 57 very-low vulnerability areas among the districts and counties assessed. These findings furnish a basis for advancing geological disaster preparedness and mitigation efforts throughout Zhejiang Province. geological disaster vulnerability assessment cloud model game theory Zhejiang Province Full Text Cite Share Download PDF Status: Published Journal Publication published 09 May, 2025 Read the published version in Natural Hazards → Version 1 posted Reviewers agreed at journal 25 Jul, 2024 Reviewers invited by journal 25 Jul, 2024 Editor invited by journal 08 Jul, 2024 Editor assigned by journal 25 Jun, 2024 First submitted to journal 24 Jun, 2024 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. 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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-4630240","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":331586972,"identity":"b83807d9-d027-4717-8174-47f0bf1fe2a5","order_by":0,"name":"Yicheng Ming","email":"","orcid":"","institution":"Southwest Jiaotong University","correspondingAuthor":false,"prefix":"","firstName":"Yicheng","middleName":"","lastName":"Ming","suffix":""},{"id":331586973,"identity":"4290c0c3-b0a1-4769-916d-73faa9d8f862","order_by":1,"name":"Mingtao DING","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA1klEQVRIiWNgGAWjYDACZgjF2AbEDxIqaojUcgCihdngwZljRNoE0tLAwMAm+bCFmbBq3Xbew68/1NjI9km3X6tIbGBj4G/vTsCrxewwX5rFgWNpxm0yZ8puJO6QYZA4c3YDAS08ZgYH2A4ntknkpN1IPMPGYCCRS4yWfxAtBYltzERpMX5wsA2kJf0YA7FazBjO9gH9IpHDLJFw5hgPYb+cP2P8oeKbjez8GekPP/6oqJHjb+/FrwUI2CQgNI8BmCSkHASYP0Bo9gfEqB4Fo2AUjIIRCAB+aEzwexRg2QAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0003-4839-7337","institution":"Southwest Jiaotong University","correspondingAuthor":true,"prefix":"","firstName":"Mingtao","middleName":"","lastName":"DING","suffix":""},{"id":331586974,"identity":"a2db93d1-93ab-411f-8d9d-74958a5ea6d7","order_by":2,"name":"Heming Ren","email":"","orcid":"","institution":"Southwest Jiaotong University","correspondingAuthor":false,"prefix":"","firstName":"Heming","middleName":"","lastName":"Ren","suffix":""},{"id":331586975,"identity":"92752be3-05e5-45da-96ae-7a3531418222","order_by":3,"name":"Qiangqiang Feng","email":"","orcid":"","institution":"Southwest Jiaotong University","correspondingAuthor":false,"prefix":"","firstName":"Qiangqiang","middleName":"","lastName":"Feng","suffix":""},{"id":331586976,"identity":"bdec97f1-a939-46c5-b01f-1a2699dd8a83","order_by":4,"name":"Yufeng He","email":"","orcid":"","institution":"Southwest Jiaotong University","correspondingAuthor":false,"prefix":"","firstName":"Yufeng","middleName":"","lastName":"He","suffix":""}],"badges":[],"createdAt":"2024-06-24 12:38:22","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4630240/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4630240/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s11069-025-07269-1","type":"published","date":"2025-05-09T15:57:00+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":82537613,"identity":"562004f3-75ff-4170-8238-6396e6d0d854","added_by":"auto","created_at":"2025-05-12 16:09:19","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1600930,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4630240/v1_covered_c823a5b2-f129-4985-ac8c-9d1b9ddc1bb1.pdf"}],"financialInterests":"","formattedTitle":"Geological hazard vulnerability assessment based on Cloud model in Zhejiang Province, China","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":"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":"geological disaster, vulnerability assessment, cloud model, game theory, Zhejiang Province","lastPublishedDoi":"10.21203/rs.3.rs-4630240/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4630240/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eGeological hazard vulnerability assessment plays a crucial role in disaster prevention and mitigation strategies. 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