气候变化领域集成服务门户(CCPortal): Wintertime aerosol chemistry in Beijing during haze period: Significant contribution from secondary formation and biomass burning emission

CCPortal

DOI	10.1016/j.atmosres.2018.10.010
	Wintertime aerosol chemistry in Beijing during haze period: Significant contribution from secondary formation and biomass burning emission
	Li X.; Jiang L.; Bai Y.; Yang Y.; Liu S.; Chen X.; Xu J.; Liu Y.; Wang Y.; Guo X.; Wang Y.; Wang G.
发表日期	2019
ISSN	0169-8095
起始页码	25
结束页码	33
卷号	218
英文摘要	Air pollution in north China is still severe, although Chinese government has exerted great efforts to cut down pollutant emissions in the past decade. To understand the chemistry and sources of the haze particles in north China, PM2.5 aerosols were collected in Beijing from January 7 to February 27, 2014, during which two haze episodes (haze I and haze II) occurred. The samples were analyzed for water soluble inorganic ions, trace elements, sugars, n-alkane, polycyclic aromatic hydrocarbons (PAHs), fatty acids, dicarboxylic acid, EC (elemental carbon) and OC (organic carbon). Our results showed that relative abundances of primary species such as sugars, PAHs and EC were more abundant on the clean days and the haze I period in Beijing, while secondary aerosols especially secondary inorganic aerosol (SIA)were more abundant in the haze II period. Source apportionment further showed that emissions from cooking (21.6%), road-dust (19.4%), coal combustion (17.8%) and biomass burning (15.4%) were the main sources of PM2.5 during the clean days, while biomass burning (20.1%) and coal combustion (17.1%) were the main sources during haze I period. For the haze II period, vehicle exhausts (26.9%), secondary aerosol formation (26.6%) and industrial emission (19.1%) were the dominant sources of PM2.5. Our work suggests that it is indispensable to reduce the emissions from biomass burning and vehicle exhaust in Beijing in order to further mitigate the haze pollution. © 2018
英文关键词	Chemical compositions; Haze; Organic tracers; PM2.5; Source apportionment
语种	英语
scopus关键词	Aerosols; Air pollution; Biomass; Coal dust; Fatty acids; Industrial emissions; Organic carbon; Paraffins; Polycyclic aromatic hydrocarbons; Sugars; Trace elements; Chemical compositions; Haze; Organic tracers; PM2.5; Source apportionment; Coal combustion; aerosol composition; biomass burning; emission; haze; particulate matter; source apportionment; tracer; winter; Beijing [China]; China
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162141
作者单位	Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, China; Department of Chemistry, Analytical and Testing Center, Capital Normal University, Beijing, 100048, China; College of Resource Environment and Tourism, Capital Normal University, Beijing, 100048, China; Beijing Municipal Research Institute of Environmental Protection, Beijing, 100037, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; Key Laboratory of Geoscience Information of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
推荐引用方式 GB/T 7714	Li X.,Jiang L.,Bai Y.,et al. Wintertime aerosol chemistry in Beijing during haze period: Significant contribution from secondary formation and biomass burning emission[J],2019,218.
APA	Li X..,Jiang L..,Bai Y..,Yang Y..,Liu S..,...&Wang G..(2019).Wintertime aerosol chemistry in Beijing during haze period: Significant contribution from secondary formation and biomass burning emission.Atmospheric Research,218.
MLA	Li X.,et al."Wintertime aerosol chemistry in Beijing during haze period: Significant contribution from secondary formation and biomass burning emission".Atmospheric Research 218(2019).