Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101291
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorWang, Nen_US
dc.creatorLyu, Xen_US
dc.creatorDeng, XJen_US
dc.creatorGuo, Hen_US
dc.creatorDeng, Ten_US
dc.creatorLi, Yen_US
dc.creatorYin, CQen_US
dc.creatorLi, Fen_US
dc.creatorWang, SQen_US
dc.date.accessioned2023-08-30T04:16:33Z-
dc.date.available2023-08-30T04:16:33Z-
dc.identifier.issn0048-9697en_US
dc.identifier.urihttp://hdl.handle.net/10397/101291-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2016 Elsevier B.V. All rights reserved.en_US
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Wang, N., Lyu, X. P., Deng, X. J., Guo, H., Deng, T., Li, Y., ... & Wang, S. Q. (2016). Assessment of regional air quality resulting from emission control in the Pearl River Delta region, southern China. Science of the total environment, 573, 1554-1565 is available at https://doi.org/10.1016/j.scitotenv.2016.09.013.en_US
dc.subjectEmission controlen_US
dc.subjectPRDen_US
dc.subjectScenario analysisen_US
dc.subjectWRF/CMAQen_US
dc.titleAssessment of regional air quality resulting from emission control in the Pearl River Delta region, southern Chinaen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationTitle on author’s file: "Assessment of regional air quality resulting from emission control in the Pearl River Delta in China"en_US
dc.identifier.spage1554en_US
dc.identifier.epage1565en_US
dc.identifier.volume573en_US
dc.identifier.doi10.1016/j.scitotenv.2016.09.013en_US
dcterms.abstractTo evaluate the impact of emission control measures on the air quality in the Pearl River Delta (PRD) region of South China, statistic data including atmospheric observations, emissions and energy consumptions during 2006–2014 were analyzed, and a Weather Research and Forecasting - Community Multi-scale Air Quality (WRF-CMAQ) model was used for various scenario simulations. Although energy consumption doubled from 2004 to 2014 and vehicle number significantly increased from 2006 to 2014, ambient SO2, NO2 and PM10 were reduced by 66%, 20% and 24%, respectively, mainly due to emissions control efforts. In contrast, O3 increased by 19%. Model simulations of three emission control scenarios, including a baseline (a case in 2010), a CAP (a case in 2020 assuming control strength followed past control tendency) and a REF (a case in 2020 referring to the strict control measures based on recent policy/plans) were conducted to investigate the variations of air pollutants to the changes in NOx, VOCs and NH3 emissions. Although the area mean concentrations of NOx, nitrate and PM2.5 decreased under both NOx CAP (reduced by 1.8%, 0.7% and 0.2%, respectively) and NOx REF (reduced by 7.2%, 1.8% and 0.3%, respectively), a rising of PM2.5 was found in certain areas as reducing NOx emissions elevated the atmospheric oxidizability. Furthermore, scenarios with NH3 emission reductions showed that nitrate was sensitive to NH3 emissions, with decreasing percentages of 0–10.6% and 0–48% under CAP and REF, respectively. Controlling emissions of VOCs reduced PM2.5 in the southwestern PRD where severe photochemical pollution frequently occurred. It was also found that O3 formation in PRD was generally VOCs-limited while turned to be NOx-limited in the afternoon (13:00–17:00), suggesting that cutting VOCs emissions would reduce the overall O3 concentrations while mitigating NOx emissions in the afternoon could reduce the peak O3 levels.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationScience of the total environment, 15 Dec. 2016, v. 573, p. 1554-1565en_US
dcterms.isPartOfScience of the total environmenten_US
dcterms.issued2016-12-15-
dc.identifier.scopus2-s2.0-84994705272-
dc.identifier.pmid27642074-
dc.identifier.eissn1879-1026en_US
dc.description.validate202308 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-2401-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextGuangdong Province Science and Technology Plan; National Natural Science Foundation of China; Ministry of Science and Technology of the People's Republic of China; National Science and Technology Planning Project; Science and technology innovative research team plan of Guangdong Meteorological Bureauen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6694248-
dc.description.oaCategoryGreen (AAM)en_US
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