Spatiotemporal Variability and Complex Network Characteristics of Ozone Pollution in Anhui Province, China (2018– 2023)

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Abstract This study investigates the spatiotemporal dynamics and intercity linkages of surface ozone pollution in Anhui Province, China, from 2018 to 2023. Daily mean concentrations from 16 prefecture-level cities were analyzed using statistical methods and complex network approaches. Ozone levels exhibited a fluctuating upward trend, with summer averages reaching 115 µg/m³ and winter values dropping to 72 µg/m³. Spatially, northern Anhui, represented by Bozhou with 109.66 µg/m³, formed pollution hotspots, whereas southern Anhui, such as Huangshan with 61 µg/m³, showed substantially lower levels. The correlation network displayed small-world properties, with Hefei serving as the primary hub of pollutant transmission. Community detection divided the network into northern and central–southern clusters, revealing a dominant north-to-south transport pathway. Interannual analysis showed increasing network density, indicating strengthened regional linkages. These findings provide scientific evidence for targeted ozone control and highlight the importance of core-node management, community-based collaboration, and seasonally differentiated strategies. The framework offers a scalable reference for pollution control in data-limited regions.
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Spatiotemporal Variability and Complex Network Characteristics of Ozone Pollution in Anhui Province, China (2018– 2023) | 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 Spatiotemporal Variability and Complex Network Characteristics of Ozone Pollution in Anhui Province, China (2018– 2023) Ya-Qi Xu, Ni Zheng, Qian Yu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7673588/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 This study investigates the spatiotemporal dynamics and intercity linkages of surface ozone pollution in Anhui Province, China, from 2018 to 2023. Daily mean concentrations from 16 prefecture-level cities were analyzed using statistical methods and complex network approaches. Ozone levels exhibited a fluctuating upward trend, with summer averages reaching 115 µg/m³ and winter values dropping to 72 µg/m³. Spatially, northern Anhui, represented by Bozhou with 109.66 µg/m³, formed pollution hotspots, whereas southern Anhui, such as Huangshan with 61 µg/m³, showed substantially lower levels. The correlation network displayed small-world properties, with Hefei serving as the primary hub of pollutant transmission. Community detection divided the network into northern and central–southern clusters, revealing a dominant north-to-south transport pathway. Interannual analysis showed increasing network density, indicating strengthened regional linkages. These findings provide scientific evidence for targeted ozone control and highlight the importance of core-node management, community-based collaboration, and seasonally differentiated strategies. The framework offers a scalable reference for pollution control in data-limited regions. Ozone pollution Spatiotemporal evolution Complex network Regional association Anhui Province Full Text Additional Declarations No competing interests reported. Supplementary Files SupplementaryMaterial.docx 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. 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2023)","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":"Ozone pollution, Spatiotemporal evolution, Complex network, Regional association, Anhui 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Daily mean concentrations from 16 prefecture-level cities were analyzed using statistical methods and complex network approaches. Ozone levels exhibited a fluctuating upward trend, with summer averages reaching 115 \u0026micro;g/m\u0026sup3; and winter values dropping to 72 \u0026micro;g/m\u0026sup3;. Spatially, northern Anhui, represented by Bozhou with 109.66 \u0026micro;g/m\u0026sup3;, formed pollution hotspots, whereas southern Anhui, such as Huangshan with 61 \u0026micro;g/m\u0026sup3;, showed substantially lower levels. The correlation network displayed small-world properties, with Hefei serving as the primary hub of pollutant transmission. Community detection divided the network into northern and central\u0026ndash;southern clusters, revealing a dominant north-to-south transport pathway. Interannual analysis showed increasing network density, indicating strengthened regional linkages. 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