Digital Twin of Climate Responsive Smart Cities and the Application of Meteorological Data in Sustainable Urban Design

Digital Twin of Climate Responsive Smart Cities and the Application of Meteorological Data in Sustainable Urban Design | 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 Digital Twin of Climate Responsive Smart Cities and the Application of Meteorological Data in Sustainable Urban Design Xiaoyun Li, Nili Guo, Chunxiao Zhang, Jingjing Jia This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6669150/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 To achieve the design and construction of climate responsive smart cities, this study proposes a sustainable urban flood control scheduling optimization system based on digital twins and meteorological data. The new system can use urban climate data and digital twin technology to achieve flood warning and flood evolution in cities, providing better guidance for urban development and design. The results indicated that the scheduling model used had better flood control scheduling effect, with a water level reduction of 7 m and 5 m compared to the simulated annealing model. The water flow rate was reduced by 803 m 3 /s and 1243 m 3 /s compared to the simulated annealing algorithm. The water level of the reservoir has decreased by 6 m and 5 m compared to the genetic algorithm model. The scheduling peak optimization effect of the new model used in this study was the best, with the highest value reaching 92.5%. Therefore, by using the new system model, optimization analysis of sustainable urban flood control scheduling can be achieved. This has good reference value for the development of sustainable urban design. Earth and environmental sciences/Ecology Earth and environmental sciences/Environmental sciences Earth and environmental sciences/Natural hazards Smart city Digital twin Meteorological data Sustainable cities Flood control operation Full Text Additional Declarations No competing interests reported. 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. 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-6669150","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":472441912,"identity":"80f698d3-9a40-413f-8de6-cbef7905431b","order_by":0,"name":"Xiaoyun Li","email":"","orcid":"","institution":"Jinzhong College of Information","correspondingAuthor":false,"prefix":"","firstName":"Xiaoyun","middleName":"","lastName":"Li","suffix":""},{"id":472441913,"identity":"9d28a257-e439-4dac-9042-3aea5c61f32e","order_by":1,"name":"Nili Guo","email":"","orcid":"","institution":"Jinzhong College of Information","correspondingAuthor":false,"prefix":"","firstName":"Nili","middleName":"","lastName":"Guo","suffix":""},{"id":472441914,"identity":"56cf79ac-770a-49d2-900f-4542fdc24816","order_by":2,"name":"Chunxiao Zhang","email":"","orcid":"","institution":"Pukyong National University","correspondingAuthor":false,"prefix":"","firstName":"Chunxiao","middleName":"","lastName":"Zhang","suffix":""},{"id":472441915,"identity":"ac65c95c-6759-4cfc-bf42-6d1051ac6667","order_by":3,"name":"Jingjing Jia","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABFklEQVRIie3RsUrEMBjA8a8U2iXHrV8p3L1CjkJRODgfJUHoJAUpSCeJKOlyD9BO9wp2c6wEziU6n4t43CwUBHFwMAqKS6SjYP5TCPnBlwTA5fqDjX1f7V5LJIsbAZ743u/sJKpkloDem4DuBhKqNY29izKBDRtIzEmaHAvkZ83TOmrkPJ8e+Nse9INVeDVju+YK+XmcZ1Ers2LWBQnCprASH1lHRxq5jI/SaCsVbwWkAD2zkgC5wJFEvoz0FwlffiWEKIgNSRBJagZTfAUk/biilWAog1mtcUJJfrhf32X80icFMm0nCzV+fuzLU0LD2+v75cmcr6qq7fu1nfyc0bxfYH5KmfUg8EngDWAqhh13uVyu/9M7wpxbnSEhydcAAAAASUVORK5CYII=","orcid":"","institution":"Pukyong National University","correspondingAuthor":true,"prefix":"","firstName":"Jingjing","middleName":"","lastName":"Jia","suffix":""}],"badges":[],"createdAt":"2025-05-15 05:53:26","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6669150/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6669150/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":100416073,"identity":"1afcdc1a-8a2d-4dba-b657-c3fa3c636df7","added_by":"auto","created_at":"2026-01-16 13:22:58","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":857015,"visible":true,"origin":"","legend":"","description":"","filename":"R1DigitalTwinofClimateResponsiveSmartCitiesandtheApplicationofMeteorologicalDatainSustainableUrbanDesign.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6669150/v1_covered_904ca2e6-3ae6-4903-9348-7e1320925fd8.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Digital Twin of Climate Responsive Smart Cities and the Application of Meteorological Data in Sustainable Urban Design","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"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":"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":"Smart city, Digital twin, Meteorological data, Sustainable cities, Flood control operation","lastPublishedDoi":"10.21203/rs.3.rs-6669150/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6669150/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eTo achieve the design and construction of climate responsive smart cities, this study proposes a sustainable urban flood control scheduling optimization system based on digital twins and meteorological data. The new system can use urban climate data and digital twin technology to achieve flood warning and flood evolution in cities, providing better guidance for urban development and design. The results indicated that the scheduling model used had better flood control scheduling effect, with a water level reduction of 7 m and 5 m compared to the simulated annealing model. The water flow rate was reduced by 803 m\u003csup\u003e3\u003c/sup\u003e/s and 1243 m\u003csup\u003e3\u003c/sup\u003e/s compared to the simulated annealing algorithm. The water level of the reservoir has decreased by 6 m and 5 m compared to the genetic algorithm model. The scheduling peak optimization effect of the new model used in this study was the best, with the highest value reaching 92.5%. Therefore, by using the new system model, optimization analysis of sustainable urban flood control scheduling can be achieved. 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