Ecological Geological Vulnerability Assessment in Northern Shanxi Province Based on SRP Model

Ecological Geological Vulnerability Assessment in Northern Shanxi Province Based on SRP Model | 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 Article Ecological Geological Vulnerability Assessment in Northern Shanxi Province Based on SRP Model Yanlong CAI, Xiaoyu GUO, Junshuai LIU, Dake WANG, Jilin ZHENG This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4251024/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 08 Mar, 2025 Read the published version in Scientific Reports → Version 1 posted 12 You are reading this latest preprint version Abstract Assessing ecological geological vulnerability is crucial for the protection and restoration of regional ecological environments. Considering the strategic ecological importance of Northern Shanxi Province, this study undertakes a thorough regional ecological geological vulnerability assessment, aiming to devise specific countermeasures and generate insightful research contributions. This methodology guides ecological environment evaluations and restorations in Northern Shanxi Province and similar Northwestern Chinese regions. Centering on Northern Shanxi Province, the study utilizes the Sensitivity-Resilience-Pressure (SRP) model to meticulously select 11 indicators, encompassing slope, soil erosion intensity, and the Enhanced Vegetation Indicator (EVI). The study employs analytical methods such as analytic hierarchy process (AHP) and principal component analysis (PCA) to perform the ecological geological vulnerability assessment. The study results show that the ecological geological vulnerability comprehensive indicator (EGVCI) for Northern Shanxi Province is approximately 3.97. Regions with the moderate to extreme vulnerability represent about 23.7% of the total area, mainly distributed in the basin-mountain transition zones and the western low-mountain areas, with the primary ecological geological issues of environmental problems caused by open-pit mining activities, soil erosion, land salinization. Ecological geological vulnerability in Northern Shanxi Province primarily resides at a mild level. The driving factors of the vulnerability are soil erosion intensity, mineral exploitation intensity, water conservation capacity, land use type, slope, and the Enhanced Vegetation Indicator (EVI). ecological geology vulnerability SRP model Analytic Hierarchy Process Principal Component Analysis Northern Shanxi Province Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 08 Mar, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 05 Nov, 2024 Reviews received at journal 03 Nov, 2024 Reviewers agreed at journal 15 Oct, 2024 Reviews received at journal 16 Sep, 2024 Reviewers agreed at journal 04 Sep, 2024 Reviews received at journal 21 Aug, 2024 Reviewers agreed at journal 21 Aug, 2024 Reviewers invited by journal 12 Jul, 2024 Editor assigned by journal 02 Jul, 2024 Editor invited by journal 23 Apr, 2024 Submission checks completed at journal 17 Apr, 2024 First submitted to journal 11 Apr, 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-4251024","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":292317627,"identity":"c5ba405a-fef1-49f0-8d35-04f6a8f5a678","order_by":0,"name":"Yanlong CAI","email":"","orcid":"","institution":"Harbin Center for Integrated Natural Resources Survey, China Geological Survey","correspondingAuthor":false,"prefix":"","firstName":"Yanlong","middleName":"","lastName":"CAI","suffix":""},{"id":292317628,"identity":"b1dc09e3-1f43-43cd-ae0e-37b3226edf50","order_by":1,"name":"Xiaoyu GUO","email":"","orcid":"","institution":"Harbin Center for Integrated 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