Single particle mass spectral signatures from vehicle exhaust particles   and the source apportionment of on-line PM2.5 by single particle aerosol   mass spectrometry

doi:10.1016/j.scitotenv.2017.03.099

CORC > 北京大学 > 环境科学与工程学院

	Single particle mass spectral signatures from vehicle exhaust particles and the source apportionment of on-line PM2.5 by single particle aerosol mass spectrometry
	Yang, Jian ; Ma, Shexia ; Gao, Bo ; Li, Xiaoying ; Zhang, Yanjun ; Cai, Jing ; Li, Mei ; Yao, Ling&apos ; Huang, Bo ; Zheng, Mei ; ai
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2017
关键词	Single particle SPAMS Composition Source apportionment Guangzhou POLYCYCLIC AROMATIC-HYDROCARBONS SCANNING-ELECTRON-MICROSCOPY PARTICULATE AIR-POLLUTION MIXING STATE CHEMICAL-COMPOSITION INDIVIDUAL PARTICLES URBAN AREA ATMOSPHERIC PARTICLES SOUTHERN CALIFORNIA EMISSIONS
DOI	10.1016/j.scitotenv.2017.03.099
英文摘要	In order to accurately apportion the many distinct types of individual particles observed, it is necessary to characterize fingerprints of individual particles emitted directly from known sources. In this study, single particle mass spectral signatures from vehicle exhaust particles in a tunnel were performed. These data were used to evaluate particle signatures in a real-world PM2.5 apportionment study. The dominant chemical type originating from average positive and negative mass spectra for vehicle exhaust particles are EC species. Four distinct particle types describe the majority of particles emitted by vehicle exhaust particles in this tunnel. Each particle class is labeled according to the most significant chemical features in both average positive and negative mass spectral signatures, including ECOC, NaK, Metal and PAHs species. A single particle aerosol mass spectrometry (SPAMS) was also employed during the winter of 2013 in Guangzhou to determine both the size and chemical composition of individual atmospheric particles, with vacuum aerodynamic diameter ((d(va)) in the size range of 02-2 mu m. A total of 487,570 particles were chemically analyzed with positive and negative ion mass spectra and a large set of single particle mass spectra was collected and analyzed in order to identify the speciation. According to the typical tracer ions from different source types and classification by the ART-2a algorithm which uses source fingerprints for apportioning ambient particles, the major sources of single particles were simulated. Coal combustion, vehicle exhaust, and secondary ion were the most abundant particle sources, contributing 28.5%, 17.8%, and 18.2%, respectively. The fraction with vehicle exhaust species particles decreased slightly with particle size in the condensation mode particles. (C) 2017 Elsevier B.V. All rights reserved.; National Nature Science Foundation of China [41305108]; Guangzhou Science and Technology Project [201508020079, 201707010378]; Special funds for Public welfare research and capacity building in Guangdong Province [2014B020216005]; SCI(E); ARTICLE; 310-318; 593
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/471319]
专题	环境科学与工程学院
推荐引用方式 GB/T 7714	Yang, Jian,Ma, Shexia,Gao, Bo,et al. Single particle mass spectral signatures from vehicle exhaust particles and the source apportionment of on-line PM2.5 by single particle aerosol mass spectrometry[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2017.
APA	Yang, Jian.,Ma, Shexia.,Gao, Bo.,Li, Xiaoying.,Zhang, Yanjun.,...&ai.(2017).Single particle mass spectral signatures from vehicle exhaust particles and the source apportionment of on-line PM2.5 by single particle aerosol mass spectrometry.SCIENCE OF THE TOTAL ENVIRONMENT.
MLA	Yang, Jian,et al."Single particle mass spectral signatures from vehicle exhaust particles and the source apportionment of on-line PM2.5 by single particle aerosol mass spectrometry".SCIENCE OF THE TOTAL ENVIRONMENT (2017).