Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102546
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorWang, Nen_US
dc.creatorLing, Zen_US
dc.creatorDeng, Xen_US
dc.creatorDeng, Ten_US
dc.creatorLyu, Xen_US
dc.creatorLi, Ten_US
dc.creatorGao, Xen_US
dc.creatorChen, Xen_US
dc.date.accessioned2023-10-26T07:19:21Z-
dc.date.available2023-10-26T07:19:21Z-
dc.identifier.issn0256-1530en_US
dc.identifier.urihttp://hdl.handle.net/10397/102546-
dc.language.isoenen_US
dc.publisherScience Press, co-published with Springeren_US
dc.rights© Institute of Atmospheric Physics/Chinese Academy of Sciences, and Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018en_US
dc.rightsThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00376-018-7212-9.en_US
dc.subjectCommunity Multiscale Air Quality modelen_US
dc.subjectFine particulate matteren_US
dc.subjectSource contributionen_US
dc.subjectUnfavorable weather systemen_US
dc.subjectWRFen_US
dc.titleSource contributions to PM₂.₅ under unfavorable weather conditions in Guangzhou City, Chinaen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationTitle on author’s file: "Source contributions to PM 2.5 under unfavorable weather systems in Guangzhou City, China"en_US
dc.identifier.spage1145en_US
dc.identifier.epage1159en_US
dc.identifier.volume35en_US
dc.identifier.issue9en_US
dc.identifier.doi10.1007/s00376-018-7212-9en_US
dcterms.abstractHistorical haze episodes (2013–16) in Guangzhou were examined and classified according to synoptic weather systems. Four types of weather systems were found to be unfavorable, among which “foreside of a cold front” (FC) and “sea high pressure” (SP) were the most frequent (>75% of the total). Targeted case studies were conducted based on an FC-affected event and an SP-affected event with the aim of understanding the characteristics of the contributions of source regions to fine particulate matter (PM2.5) in Guangzhou. Four kinds of contributions—namely, emissions outside Guangdong Province (super-region), emissions from the Pearl River Delta region (PRD region), emissions from Guangzhou–Foshan–Shenzhen (GFS region), and emissions from Guangzhou (local)—were investigated using the Weather Research and Forecasting–Community Multiscale Air Quality model. The results showed that the source region contribution differed with different weather systems. SP was a stagnant weather condition, and the source region contribution ratio showed that the local region was a major contributor (37%), while the PRD region, GFS region and the super-region only contributed 8%, 2.8% and 7%, respectively, to PM2.5 concentrations. By contrast, FC favored regional transport. The super-region became noticeable, contributing 34.8%, while the local region decreased to 12%. A simple method was proposed to quantify the relative impact of meteorology and emissions. Meteorology had a 35% impact, compared with an impact of -18% for emissions, when comparing the FC-affected event with that of the SP. The results from this study can provide guidance to policymakers for the implementation of effective control strategies.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAdvances in atmospheric sciences, Sept 2018, v. 35, no. 9, p. 1145-1159en_US
dcterms.isPartOfAdvances in atmospheric sciencesen_US
dcterms.issued2018-09-
dc.identifier.scopus2-s2.0-85049579581-
dc.identifier.eissn1861-9533en_US
dc.description.validate202310 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-1713-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; National Key Project of MOST; Guangdong province science and technology plan; national science and technology support program; Science and technology innovative research team plan of Guangdong Meteorological Bureau; Science and technology study project of Guangdong Meteorological Bureau; Guangdong province Science and Technology Planen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS43414829-
dc.description.oaCategoryGreen (AAM)en_US
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