Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/119201
DC FieldValueLanguage
dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.contributorResearch Institute for Land and Spaceen_US
dc.creatorLi, Yen_US
dc.creatorWang, Yen_US
dc.creatorHe, Yen_US
dc.creatorCai, Hen_US
dc.creatorWang, Hen_US
dc.creatorYan, Zen_US
dc.creatorZhou, Zen_US
dc.creatorWu, Gen_US
dc.creatorZhou, Yen_US
dc.creatorGuo, Hen_US
dc.creatorWang, Ben_US
dc.date.accessioned2026-06-09T05:38:48Z-
dc.date.available2026-06-09T05:38:48Z-
dc.identifier.issn1001-0742en_US
dc.identifier.urihttp://hdl.handle.net/10397/119201-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectControl strategyen_US
dc.subjectMaster chemical mechanismen_US
dc.subjectPhotochemical evolutionen_US
dc.subjectPhotochemical trajectory modelen_US
dc.subjectVolatile organic compoundsen_US
dc.titlePhotochemical formation process of ozone and spatiotemporally targeted control strategies along the transport pathways in the Pearl River Delta regionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage576en_US
dc.identifier.epage586en_US
dc.identifier.volume161en_US
dc.identifier.doi10.1016/j.jes.2025.05.032en_US
dcterms.abstractRegional ozone (O<inf>3</inf>) pollution is currently a major challenge for urban agglomerations in China, including the Pearl River Delta (PRD) region. Understanding the cross-city photochemical evolution of O<inf>3</inf> is crucial for developing spatiotemporally targeted control strategies. In this study, three major transport pathways across cities in the PRD region were identified through multiyear airflow trajectory cluster analysis. A photochemical trajectory model (PTM) coupled with the near-explicit Master Chemical Mechanism (MCM) was employed to elucidate the photochemical processes along these pathways. The spatiotemporal variations in O<inf>3</inf> simulations indicated that intensive noontime O<inf>3</inf> production rates in upwind cities (e.g., Foshan and Guangzhou) substantially contributed to O<inf>3</inf> episodes in downwind ones along the north/northeastern transport pathways. Additionally, O<inf>3</inf> formation regimes shifted from volatile organic compounds (VOCs) regime to a transitional regime around midday, suggesting the effectiveness of time-resolved precursor controls, specifically, VOCs reduction during morning hours followed by coordinated nitrogen oxides (NO<inf>x</inf>) and VOCs reductions post-noon in the relevant cities. Furthermore, key VOC species and their sources (i.e., industrial processes and on-road mobile emissions) from responsible cities were traced and their downstream impacts were estimated. In the northern and northeastern cases, morning anthropogenic emissions from Foshan and Guangzhou accounted for 29 % and 42 % of O<inf>3</inf> concentrations in downwind Zhuhai and Jiangmen, respectively, implying the necessity of spatiotemporally targeted control strategies. This study enhances our understanding of inter-city O<inf>3</inf> photochemical evolution and provides actionable insights for spatiotemporally differentiated control strategies on regional O<inf>3</inf> mitigation.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationJournal of environmental sciences, Mar. 2026, v. 161, p. 576-586en_US
dcterms.isPartOfJournal of environmental sciencesen_US
dcterms.issued2026-03-
dc.identifier.scopus2-s2.0-105023498593-
dc.identifier.eissn1878-7320en_US
dc.description.validate202606 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG001807/2026-05-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported by the National Key R&D Program of China (No. 2023YFC3709201 ), the National Natural Science Foundation of China (Nos. 42121004 and 42005080 ), the Science and Technology Project of Guangdong Province (No. 2024B1212040006 ), the Research Grants Council of the Government of the Hong Kong Special Administrative Region via General Research Fund Scheme (No. PolyU-152124/21E ), the research support scheme of Research Institute for Land and Space at the Hong Kong Polytechnic University (No. 1-CD79 ) and the Start-up Fund for RAPs under the Strategic Hiring Scheme of the Hong Kong Polytechnic University (No. 1-BD3T ). We are grateful to Guangdong Ecological Environmental Monitoring Center for the online VOC measurements. The authors thank Kevin Zou for constructive discussions on visualization.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2028-03-31en_US
dc.description.oaCategoryGreen (AAM)en_US
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