气候变化领域集成服务门户(CCPortal): Source directional apportionment of ambient PM2.5 in urban and industrial sites at a megacity in China

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DOI	10.1016/j.atmosres.2019.104764
	Source directional apportionment of ambient PM2.5 in urban and industrial sites at a megacity in China
	Liu B.; Li Y.; Wang L.; Bi X.; Dong H.; Sun X.; Xiao Z.; Zhang Y.; Feng Y.
发表日期	2020
ISSN	0169-8095
卷号	235
英文摘要	Refined source apportionment plays an important role in precise control of atmospheric particulate matter sources. PM2.5 samples were collected and analysed in Tian'jin from February to October 2016, and directional contribution of individual source category was apportioned by applying a new approach. Results indicated that the mean concentration of PM2.5 was 64 μg/m3 during the studying period. NO3 − and OC were dominated species in PM2.5 mass. The concentrations of OC and Cl−, and OC/EC were higher in winter than other seasons. Secondary sources (SS), coal and biomass burning (CBB), vehicle exhaust (VE), crustal dust (CD), and industrial emission (IE), were identified as major sources using the PMF model, their contributions to PM2.5 were 28.6–38.1%, 17.3–20.1%, 21.1–23.5%, 10.9–14.2%, and 4.0–10.3%, respectively. The contributions of dust source and coal combustion in Tian'jin are decreasing, while that of motor vehicles is gradually highlighted. The contribution of secondary sources is maintained at a high level in recent years. Source contributions from the directions 1–3 (SW, NW, NE) for SS (16.8%, 8.5%, 4.0%), CBB (10.1%, 8.5%, 2.0%), VE (8.7%, 7.9%, 3.2%), CD (7.3%, 7.0%, 0.9%), and IE (4.2%, 3.8%, 1.4%), were observed at TG site. Source contributions from the directions1–4 (SW, WNW, NNW, NE) for SS (16.5%, 9.7%, 5.9%, 6.3%), CBB (8.0%, 5.0%, 2.5%, 1.9%), VE (8.5%, 6.8%, 3.5%, 3.3%), CD (5.9%, 3.2%, 2.0%, 1.0%), IE (2.0%, 0.9%, 0.6%, 0.6%), were observed at FK site. The contributions of major sources from SW direction were higher than other directions. © 2019 Elsevier B.V.
英文关键词	Backward trajectory analysis; PM2.5; Positive matrix factorization (PMF); Source directional apportionment (SDA)
学科领域	Coal combustion; Coal dust; Factorization; Industrial emissions; Urban growth; Atmospheric particulate matter; Backward trajectory analysis; Mean concentrations; PM2.5; Positive Matrix Factorization; Source apportionment; Source contributions; Source directional apportionment (SDA); Chlorine compounds; ambient air; back analysis; concentration (composition); factor analysis; industrial district; megacity; particulate matter; source apportionment; China; Tianjin
语种	英语
scopus关键词	Coal combustion; Coal dust; Factorization; Industrial emissions; Urban growth; Atmospheric particulate matter; Backward trajectory analysis; Mean concentrations; PM2.5; Positive Matrix Factorization; Source apportionment; Source contributions; Source directional apportionment (SDA); Chlorine compounds; ambient air; back analysis; concentration (composition); factor analysis; industrial district; megacity; particulate matter; source apportionment; China; Tianjin
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/120506
作者单位	State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Center for Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tian'jin, 300350, China; Tianjin Eco-Environment Monitoring Center, Tian'jin, 300071, China
推荐引用方式 GB/T 7714	Liu B.,Li Y.,Wang L.,et al. Source directional apportionment of ambient PM2.5 in urban and industrial sites at a megacity in China[J],2020,235.
APA	Liu B..,Li Y..,Wang L..,Bi X..,Dong H..,...&Feng Y..(2020).Source directional apportionment of ambient PM2.5 in urban and industrial sites at a megacity in China.Atmospheric Research,235.
MLA	Liu B.,et al."Source directional apportionment of ambient PM2.5 in urban and industrial sites at a megacity in China".Atmospheric Research 235(2020).