Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94374
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorXing, Len_US
dc.creatorFu, TMen_US
dc.creatorLiu, Ten_US
dc.creatorQin, Yen_US
dc.creatorZhou, Len_US
dc.creatorChan, CKen_US
dc.creatorGuo, Hen_US
dc.creatorYao, Den_US
dc.creatorDuan, Ken_US
dc.date.accessioned2022-08-12T05:05:53Z-
dc.date.available2022-08-12T05:05:53Z-
dc.identifier.issn0269-7491en_US
dc.identifier.urihttp://hdl.handle.net/10397/94374-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2021 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Xing, L., Fu, T.-M., Liu, T., Qin, Y., Zhou, L., Chan, C. K., Guo, H., Yao, D., & Duan, K. (2022). Estimating organic aerosol emissions from cooking in winter over the Pearl River Delta region, China. Environmental Pollution, 292, 118266 is available at https://dx.doi.org/10.1016/j.envpol.2021.118266.en_US
dc.subjectCooking organic aerosolen_US
dc.subjectEmissionsen_US
dc.subjectPearl river delta regionen_US
dc.subjectWRF-Chemen_US
dc.titleEstimating organic aerosol emissions from cooking in winter over the Pearl River Delta region, Chinaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume292en_US
dc.identifier.doi10.1016/j.envpol.2021.118266en_US
dcterms.abstractCooking is an important source of organic aerosols (OA), particularly in urban areas, but it has not been explicitly included in current emission inventories in China. This study estimated the organic aerosol emissions from cooking during winter over the Pearl River Delta (PRD) region, China. Using the retrieved hourly cooking organic aerosol (COA) concentrations at two sites in Hong Kong and Guangzhou, population density, and daily per capita COA emissions, we determined the spatial and temporal distribution of COA emissions over the PRD region based on two approaches by treating COA as non-volatile (NVCOA) and semi-volatile (SVCOA), respectively. By using the estimated COA emissions and the Weather Research and Forecasting model coupled with chemistry (WRF-Chem) model, we reproduced the diurnal cycles of COA concentrations at the PolyU site in Hong Kong and Panyu site in Guangzhou. We also resolved the different patterns of COA between weekdays and weekends. The mean COA concentration during wintertime over the urban areas of the PRD region was 0.7 μg m− 3 and 0.9 μg m− 3 for the NVCOA and SVCOA cases, respectively, contributing 5.1% and 6.9% to the urban OA concentrations. The total COA emissions in winter over the PRD region were estimated to be 3.5 × 108 g month− 1 and 3.8 × 108 g month− 1 for the NVCOA and SVCOA cases, respectively, adding 34.8% and 37.8% to the total primary organic aerosol emissions. Considering COA emissions in the model increased the mean regional OA concentrations by 4.6% and 7.4% for the NVCOA and SVCOA cases, respectively. Our study therefore highlights the importance of cooking activities to OA concentrations in winter over the PRD region.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnvironmental pollution, 1 Jan. 2022, v. 292, no. part A, 118266en_US
dcterms.isPartOfEnvironmental pollutionen_US
dcterms.issued2022-01-01-
dc.identifier.scopus2-s2.0-85116333374-
dc.identifier.pmid34610414-
dc.identifier.eissn1873-6424en_US
dc.identifier.artn118266en_US
dc.description.validate202208 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera1501-
dc.identifier.SubFormID45185-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Natural Science Foundation of Shaanxi Province; Fundamental Research Funds for the Central Universities; Guangzhou Development District International Science and Technology Cooperation Project; ECF Environmental and Conservation Fund of Hong Kongen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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