DOI: 10.1016/j.atmosenv.2014.03.048
Scopus记录号: 2-s2.0-84901437482
论文题名: Ambient particle characterization by single particle aerosol mass spectrometry in an urban area of Beijing
作者: Li L ; , Li M ; , Huang Z ; , Gao W ; , Nian H ; , Fu Z ; , Gao J ; , Chai F ; , Zhou Z
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 94 起始页码: 323
结束页码: 331
语种: 英语
英文关键词: Aerosol
; Composition
; Mass spectrometry
; Single particle
; Source apportionment
Scopus关键词: Arts computing
; Chemical analysis
; Dust
; Environmental management
; Lead
; Mass spectrometry
; Organic carbon
; Steelmaking
; Storms
; Aerosol mass spectrometers
; Aerosol mass spectrometry
; Environmental control
; Identification and apportionments
; Neural network algorithm
; Organic and elemental carbon
; Single particle
; Source apportionment
; Aerosols
; ferrous ion
; potassium nitrate
; aerosol
; atmospheric pollution
; biomass burning
; chemical composition
; environmental management
; haze
; industrial emission
; mass spectrometry
; particle size
; pollutant source
; urban area
; urban pollution
; aerosol
; air pollution
; article
; biomass
; combustion
; dust
; haze
; mass spectrometer
; mass spectrometry
; metal industry
; meteorology
; particle size
; priority journal
; single particle aerosol mass spectrometry
; temperature
; urban area
; visibility
; wind
; Beijing [China]
; China
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: To investigate the composition and possible sources of aerosol particles in Beijing urban area, a single particle aerosol mass spectrometer (SPAMS) was deployed from April 22 to May 4, 2011. 510,341 particles out of 2,953,200 sized particles were characterized by SPAMS in combination with the ART-2a neural network algorithm. The particles were classified as rich-K (39.79%), carbonaceous species (32.7%), industry metal (19.2%), dust (5.7%), and rich-Na (1.76%). Industrial emissions related particles, rich-Fe, rich-Pb, and K-nitrate, were the major components of aerosol particles during haze periods, which were mainly from the steel plants and metal smelting processes around Beijing. Under stagnant meterological conditions, these regional emissions have a vital effect on haze formation. Organic carbon (OC) particles were attributed to biomass burning. NaK-EC was likely to come from local traffic emissions. Internally mixed organic and elemental carbon (OCEC) was found to be from possible sources of local traffic emission and biomass burning. It was found that coarse dust particles were mainly composed of four different types of dust particles, dust-Si, dust-Ca, dust-Al, and dust-Ti. It is the first time that SPAMS was used to study a dust storm in Beijing. Our results showed that SPAMS could be a powerful tool in the identification and apportionment of aerosol sources in Beijing, providing useful reference information for environmental control and management. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81289
Appears in Collections: 气候变化事实与影响
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作者单位: School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China; Guangzhou Hexin Analytical Instrument Company Limited, Guangzhou 510530, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China; Atmospheric Environment Institute of Safety and Pollution Control, Jinan University, Guangdong 510632, China
Recommended Citation:
Li L,, Li M,, Huang Z,et al. Ambient particle characterization by single particle aerosol mass spectrometry in an urban area of Beijing[J]. Atmospheric Environment,2014-01-01,94