气候变化领域集成服务门户(CCPortal): Dispersion normalized PMF provides insights into the significant changes in source contributions to PM2.5 after the CoviD-19 outbreak

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DOI	10.1021/acs.est.0c02776
	Dispersion normalized PMF provides insights into the significant changes in source contributions to PM2.5 after the CoviD-19 outbreak
	Dai Q.; Liu B.; Bi X.; Wu J.; Liang D.; Zhang Y.; Feng Y.; Hopke P.K.
发表日期	2020
ISSN	0013936X
起始页码	9917
结束页码	9927
卷号	54 期号:16
英文摘要	Factor analysis utilizes the covariance of compositional variables to separate sources of ambient pollutants like particulate matter (PM). However, meteorology causes concentration variations in addition to emission rate changes. Conventional positive matrix factorization (PMF) loses information from the data because of these dilution variations. By incorporating the ventilation coefficient, dispersion normalized PMF (DN-PMF) reduces the dilution effects. DN-PMF was applied to hourly speciated particulate composition data from a field campaign that included the start of the COVID-19 outbreak. DN-PMF sharpened the morning coal combustion and rush hour traffic peaks and lowered the daytime soil, aged sea salt, and waste incinerator contributions that better reflect the actual emissions. These results identified significant changes in source contributions after the COVID-19 outbreak in China. During this pandemic, secondary inorganic aerosol became the predominant PM2.5 source representing 50.5% of the mean mass. Fireworks and residential burning (32.0%), primary coal combustion emissions (13.3%), primary traffic emissions (2.1%), soil and aged sea salt (1.2%), and incinerator (0.9%) represent the other contributors. Traffic decreased dramatically (70%) compared to other sources. Soil and aged sea salt also decreased by 68%, likely from decreased traffic. © 2020 American Chemical Society
scopus关键词	Aerosols; Factorization; Particles (particulate matter); Soils; Waste incineration; Combustion emissions; Composition data; Concentration variation; Particulate Matter; Positive Matrix Factorization; Secondary inorganic aerosol; Source contributions; Waste incinerator; Coal combustion; carbon monoxide; coal; nitrogen oxide; ozone; sulfur dioxide; aerosol; anthropogenic source; atmospheric pollution; coal combustion; dilution; dispersion; epidemic; factor analysis; particulate matter; sea salt; traffic emission; ventilation; viral disease; Article; atmospheric dispersion; combustion; coronavirus disease 2019; environmental monitoring; exhaust gas; factor analysis; meteorology; pandemic; particulate matter 2.5; positive matrix factorization; soil; time series analysis; traffic; waste site; air pollutant; Betacoronavirus; China; Coronavirus infection; human; pandemic; particulate matter; virus pneumonia; China; Air Pollutants; Betacoronavirus; China; Coronavirus Infections; Environmental Monitoring; Humans; Pandemics; Particulate Matter; Pneumonia, Viral
来源期刊	Environmental Science and Technology
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/176838
作者单位	Center for Air Resources Engineering and Science, Clarkson University, Potsdam, NY 13699, United States; Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, United States; State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China
推荐引用方式 GB/T 7714	Dai Q.,Liu B.,Bi X.,et al. Dispersion normalized PMF provides insights into the significant changes in source contributions to PM2.5 after the CoviD-19 outbreak[J],2020,54(16).
APA	Dai Q..,Liu B..,Bi X..,Wu J..,Liang D..,...&Hopke P.K..(2020).Dispersion normalized PMF provides insights into the significant changes in source contributions to PM2.5 after the CoviD-19 outbreak.Environmental Science and Technology,54(16).
MLA	Dai Q.,et al."Dispersion normalized PMF provides insights into the significant changes in source contributions to PM2.5 after the CoviD-19 outbreak".Environmental Science and Technology 54.16(2020).