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DOI	10.5194/acp-21-14703-2021
	Insight into PM2.5sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing
	Srivastava D.; Xu J.; Vu T.V.; Liu D.; Li L.; Fu P.; Hou S.; Palmerola N.M.; Shi Z.; Harrison R.M.
发表日期	2021
ISSN	1680-7316
起始页码	14703
结束页码	14724
卷号	21 期号:19
英文摘要	This study presents the source apportionment of PM2.5 performed by positive matrix factorization (PMF) on data presented here which were collected at urban (Institute of Atmospheric Physics - IAP) and rural (Pinggu - PG) sites in Beijing as part of the Atmospheric Pollution and Human Health in a Chinese megacity (APHH-Beijing) field campaigns. The campaigns were carried out from 9 November to 11 December 2016 and from 22 May to 24 June 2017. The PMF analysis included both organic and inorganic species, and a seven-factor output provided the most reasonable solution for the PM2.5 source apportionment. These factors are interpreted as traffic emissions, biomass burning, road dust, soil dust, coal combustion, oil combustion, and secondary inorganics. Major contributors to PM2.5 mass were secondary inorganics (IAP: 22 %; PG: 24 %), biomass burning (IAP: 36 %; PG: 30 %), and coal combustion (IAP: 20 %; PG: 21 %) sources during the winter period at both sites. Secondary inorganics (48 %), road dust (20 %), and coal combustion (17 %) showed the highest contribution during summer at PG, while PM2.5 particles were mainly composed of soil dust (35 %) and secondary inorganics (40 %) at IAP. Despite this, factors that were resolved based on metal signatures were not fully resolved and indicate a mixing of two or more sources. PMF results were also compared with sources resolved from another receptor model (i.e. chemical mass balance - CMB) and PMF performed on other measurements (i.e. online and offline aerosol mass spectrometry, AMS) and showed good agreement for some but not all sources. The biomass burning factor in PMF may contain aged aerosols as a good correlation was observed between biomass burning and oxygenated fractions (r2 = 0.6-0.7) from AMS. The PMF failed to resolve some sources identified by the CMB and AMS and appears to overestimate the dust sources. A comparison with earlier PMF source apportionment studies from the Beijing area highlights the very divergent findings from application of this method. Copyright: © 2021 Deepchandra Srivastava et al.
语种	英语
scopus关键词	biomass burning; coal combustion; dust; matrix; megacity; particulate matter; rural atmosphere; source apportionment; traffic emission; urban atmosphere; Beijing [China]; China
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246536
作者单位	School of Geography Earth and Environmental Science, University of Birmingham, Birmingham, B15 2TT, United Kingdom; Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, 100029, China; Institute of Surface-Earth System Science, Tianjin University, Tianjin, 300072, China; Laboratori de Raigs-X, Institute of Environmental Assessment and Water Research (IDÆA), Consejo Superior de Investigaciones Científicas (CSIC), C/Jordi Girona, 18-26, Barcelona, 08034, Spain; Department of Environmental Sciences, Centre of Excellence in Environmental Studies, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia
推荐引用方式 GB/T 7714	Srivastava D.,Xu J.,Vu T.V.,et al. Insight into PM2.5sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing[J],2021,21(19).
APA	Srivastava D..,Xu J..,Vu T.V..,Liu D..,Li L..,...&Harrison R.M..(2021).Insight into PM2.5sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(19).
MLA	Srivastava D.,et al."Insight into PM2.5sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.19(2021).