气候变化领域集成服务门户(CCPortal): Modelling air quality during the EXPLORE-YRD campaign – Part II. Regional source apportionment of ozone and PM2.5

CCPortal

DOI	10.1016/j.atmosenv.2020.118063
	Modelling air quality during the EXPLORE-YRD campaign – Part II. Regional source apportionment of ozone and PM2.5
	Li L.; Hu J.; Li J.; Gong K.; Wang X.; Ying Q.; Qin M.; Liao H.; Guo S.; Hu M.; Zhang Y.
发表日期	2021
ISSN	1352-2310
卷号	247
英文摘要	A source-oriented Community Multiscale Air Quality model was used to quantify the contributions of different sources to ground-level fine particulate matter (PM2.5) and ozone (O3) over the Yangtze River Delta (YRD) region during the EXPLORE-YRD (EXPeriment on the eLucidation of the atmospheric Oxidation capacity and aerosol foRmation, and their Effects in the Yangtze River Delta) campaign (17 May to June 17, 2018). O3 formation in most urban areas of YRD is attributed to volatile organic compounds (VOCs) (81.1%, 78.5%, 60.2%, and 55.1% in Shanghai, Nanjing, Hefei, and Hangzhou, respectively), but is affected more by nitrogen oxides (NOx) in suburban and rural areas. Industry and transportation are the two major sources of O3 and PM2.5. In addition to the two sources, NOx produced owing to power generation, and VOC emissions from biogenic sources are important source of O3. Industry contributes the most to the total mass of PM2.5 in the YRD during the study period (9–25 μg/m3), followed by transportation (2–7 μg/m3). Industry, residential emissions, and transportation are the major sources of primary organic carbon and elemental carbon, whereas industry, transportation, and power generation account for most of the sulphate (SO2− 4) and nitrate (NO− 3) in the YRD. Agriculture is the most dominant source of ammonium emissions (NH+ 4). In Shanghai, Nanjing, Hefei, and Taizhou, secondary organic aerosol (SOA) are mainly contributed by industrial emissions. However, in Hangzhou, biogenic emissions contribute more than 40% of SOA. During all types of pollution episodes, industry and transportation are generally the two greatest sources of O3 and PM2.5 in YRD. The contribution of industry is higher during high PM2.5 pollution episodes, whereas biogenic and open burning contributions are more important during high O3 episodes. Overall, anthropogenic sources dominate the formation of O3 and PM2.5 pollution in the YRD, whereas biogenic emissions contribute significantly to O3 attributable to VOC emissions (O3_VOCs) accounting for 9–20% in urban areas of the YRD. © 2021 Elsevier Ltd
英文关键词	Aerosols; Agricultural robots; Air quality; Mass transportation; Nitrogen oxides; Organic carbon; Ozone; River pollution; Sulfur dioxide; Volatile organic compounds; Anthropogenic sources; Atmospheric oxidation capacity; Community multi-scale air quality models; Fine particulate matter (PM2.5); Primary organic carbons; Residential emissions; Secondary organic aerosols; Yangtze river delta; Industrial emissions; ammonia; nitrate; nitrogen oxide; organic carbon; ozone; sulfate; volatile organic compound; aerosol; ammonium; industrial emission; nitrogen oxides; organic carbon; particulate matter; power generation; volatile organic compound; aerosol; agriculture; air quality; Article; atmosphere; control strategy; oxidation; particulate matter 2.5; priority journal; river; rural area; secondary organic aerosol; traffic and transport; urban area; China
语种	英语
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/169036
作者单位	Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China; Zachry Department of Civil Engineering, Texas A&M University, College Station, TX 77843, United States; State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China; CAS Center for Excellence in Regional Atmospheric Environment, Chinese Academy of Science, Xiamen, 361021, China
推荐引用方式 GB/T 7714	Li L.,Hu J.,Li J.,等. Modelling air quality during the EXPLORE-YRD campaign – Part II. Regional source apportionment of ozone and PM2.5[J],2021,247.
APA	Li L..,Hu J..,Li J..,Gong K..,Wang X..,...&Zhang Y..(2021).Modelling air quality during the EXPLORE-YRD campaign – Part II. Regional source apportionment of ozone and PM2.5.Atmospheric Environment,247.
MLA	Li L.,et al."Modelling air quality during the EXPLORE-YRD campaign – Part II. Regional source apportionment of ozone and PM2.5".Atmospheric Environment 247(2021).