气候变化领域集成服务门户(CCPortal): Chemical components and source identification of PM2.5 in non-heating season in Beijing: The influences of biomass burning and dust

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DOI	10.1016/j.atmosres.2020.105412
	Chemical components and source identification of PM2.5 in non-heating season in Beijing: The influences of biomass burning and dust
	Ren Y.; Wei J.; Wu Z.; Ji Y.; Bi F.; Gao R.; Wang X.; Wang G.; Li H.
发表日期	2021
ISSN	0169-8095
卷号	251
英文摘要	Biomass burning and dust storm have significant impacts on air pollution, aerosol properties and potential human health. In order to investigate the influences of them on the chemical component and sources of aerosols, PM2.5 are collected in spring and summer in Beijing. There are two special periods in the whole campaign. (1) Event I, from 16 to 18 April. Air quality is extremely poor during this period mainly affected by biomass burning. (2) Event II, from 4 to 5 May, the biggest dust storm happened on 4 May. In addition, we choose a relative clean period as (3) Event III, from 24 to 29 July, with the lowest PM2.5 levels (16–31 μg m−3) in the whole campaign. Contributions of NO3−, SO42−, and NH4+ to PM2.5 in Event I are 22.1%, 11.3%, and 8.3%, respectively, and decreased dramatically to 2.4%, 5.4%, and 0.9% in Event II, suggesting secondary aerosols are more significant in haze period. Both ratios of phytane & pristane and PAHs to OC in Event I and II are comparable, indicating contribution of local primary organic aerosols from fossil fuel combustions to PM2.5 are not significant differences between polluted and dust period. In contrast, ratio of levoglucosan to OC is much higher in Event I and ratio of trehalose to OC is much higher in Event II, suggesting the contribution of regional primary organic aerosols from biomass burning to PM2.5 is important during polluted period, while contribution of regional primary organic aerosols from dust to PM2.5 is significant in dust storm. Based on the organic markers, this work also estimates the source apportionment of PM2.5. Dust and biomass burning are the main contributors in polluted period, while vehicle and cooking are the main contributors in clean period. © 2020 Elsevier B.V.
英文关键词	Biomass burning; Dust; Primary organic aerosols; Secondary organic aerosols; Source apportionment
语种	英语
scopus关键词	Aerosols; Air quality; Biomass; Fossil fuels; Storms; Aerosol properties; Biomass-burning; Chemical component; Fossil fuel combustion; Organic aerosol; Secondary aerosols; Source apportionment; Source identification; Dust; aerosol composition; aerosol formation; air quality; atmospheric pollution; biomass burning; dust; particulate matter; seasonal variation; source apportionment; 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/162200
作者单位	State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; Key Lab of Geographic Information Science of Ministry of Education of China, School of Geographic Sciences, East China Normal University, Shanghai, 200142, China; Institute of Eco-Chongming, 3663 N. Zhongshan Rd., Shanghai, 200062, China; Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
推荐引用方式 GB/T 7714	Ren Y.,Wei J.,Wu Z.,et al. Chemical components and source identification of PM2.5 in non-heating season in Beijing: The influences of biomass burning and dust[J],2021,251.
APA	Ren Y..,Wei J..,Wu Z..,Ji Y..,Bi F..,...&Li H..(2021).Chemical components and source identification of PM2.5 in non-heating season in Beijing: The influences of biomass burning and dust.Atmospheric Research,251.
MLA	Ren Y.,et al."Chemical components and source identification of PM2.5 in non-heating season in Beijing: The influences of biomass burning and dust".Atmospheric Research 251(2021).