Water-City Coupling and Dual-Core Driven Strategy in Climate-Sensitive Metropolitan Areas

Water-City Coupling and Dual-Core Driven Strategy in Climate-Sensitive Metropolitan Areas | 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 Water-City Coupling and Dual-Core Driven Strategy in Climate-Sensitive Metropolitan Areas Bingchang Li, Xinlan Liang, Binghao Sun, Chengyu Yuan, Jiahao Liu, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6764466/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 5 You are reading this latest preprint version Abstract In the context of global climate extremes, the Chengdu-Chongqing region, a climate-sensitive metropolitan area, faces dual challenges of rapid urbanization and water resource security. This study develops a "climate-water-city" synergistic framework, integrating TOPSIS, standard deviation ellipse, and grey relational analysis to explore interactions between water resource carrying capacity (WCI) and urbanization quality (UQI) across 16 cities (2012–2022). Key findings include: (1) UQI improves at a 2.3% annual rate, driven by core cities, enhancing climate adaptability, while WCI fluctuates drastically (42% drop in 2022 due to extreme events); (2) coupling coordination rises from moderate dis-coordination (0.31) to primary coordination (0.65), highlighting climate variability’s role; (3) a "core agglomeration–edge adaptation" spatial pattern emerges, with peripheral areas using water-saving/ecological measures; (4) barrier analysis identifies ecological/social systems as key, reducing climate sensitivity by 25%. The proposed "dual-core synergy + axis diffusion" strategy cuts core-region risks by 18% (via cross-basin transfer/sponge cities) and designates 15% ecological buffers in peripheries. This "climate vulnerability zoning governance" model offers a scalable resilient framework, applicable to regions like the Amazon Basin. By quantifying climate elasticity’s impact, the study transcends traditional models, providing a novel paradigm for balancing development and security in climate-sensitive urban areas. It offers practical guidance for resilient planning (e.g., infrastructure optimization, sustainable water management), advancing climate resilience globally. climate-sensitive metropolitan areas urbanization quality water resource carrying capacity climate elasticity spatial adaptation mechanism "climate-water-city" synergistic assessment framework Full Text Supplementary Files Highlights.docx Cite Share Download PDF Status: Under Review Version 1 posted Editor invited by journal 09 Mar, 2026 Reviewers agreed at journal 17 Jul, 2025 Reviewers invited by journal 17 Jul, 2025 Editor assigned by journal 29 May, 2025 First submitted to journal 28 May, 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. 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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-6764466","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":486964511,"identity":"8b891f09-ee68-4aad-bab7-1271f3362fe1","order_by":0,"name":"Bingchang Li","email":"","orcid":"","institution":"Sichuan Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Bingchang","middleName":"","lastName":"Li","suffix":""},{"id":486964512,"identity":"cff19c80-5fc0-4e04-8274-658a833bf924","order_by":1,"name":"Xinlan 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This study develops a \"climate-water-city\" synergistic framework, integrating TOPSIS, standard deviation ellipse, and grey relational analysis to explore interactions between water resource carrying capacity (WCI) and urbanization quality (UQI) across 16 cities (2012\u0026ndash;2022). Key findings include: (1) UQI improves at a 2.3% annual rate, driven by core cities, enhancing climate adaptability, while WCI fluctuates drastically (42% drop in 2022 due to extreme events); (2) coupling coordination rises from moderate dis-coordination (0.31) to primary coordination (0.65), highlighting climate variability\u0026rsquo;s role; (3) a \"core agglomeration\u0026ndash;edge adaptation\" spatial pattern emerges, with peripheral areas using water-saving/ecological measures; (4) barrier analysis identifies ecological/social systems as key, reducing climate sensitivity by 25%. 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