DOI: 10.1016/j.atmosenv.2017.05.033
Scopus记录号: 2-s2.0-85019927999
论文题名: Characterizing and sourcing ambient PM2.5 over key emission regions in China II: Organic molecular markers and CMB modeling
作者: Zhou J ; , Xiong Y ; , Xing Z ; , Deng J ; , Du K
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 163 起始页码: 57
结束页码: 64
语种: 英语
英文关键词: Organic aerosol
; PM2.5
; Receptor model
; Source apportionment
Scopus关键词: Carbon
; Natural gas vehicles
; Organic carbon
; Pollution
; River pollution
; Thermal processing (foods)
; Vehicles
; Carbonaceous fractions
; Chemical mass balance receptor models
; Multi-method approach
; Natural gas combustion
; Organic aerosol
; Receptor model
; Relative contribution
; Source apportionment
; Coal combustion
; ammonia
; coal
; ion
; molecular marker
; natural gas
; organic carbon
; receptor
; aerosol
; ammonium
; atmospheric pollution
; chemical mass balance
; coal combustion
; local government
; natural gas
; organic carbon
; particulate matter
; source apportionment
; traffic emission
; Article
; biomass
; chemical mass balance
; chemical parameters
; China
; combustion
; cooking
; government
; meat
; particulate matter
; pollution
; priority journal
; winter
; Beijing [China]
; China
; Guangdong
; Hebei
; Sichuan Basin
; Tianjin
; Zhujiang Delta
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: From November 2012 to July 2013, a sampling campaign was completed for comprehensive characterization of PM2.5 over four key emission regions in China: Beijing-Tianjin-Hebei (BTH), Yangzi River Delta (YRD), Pearl River Delta (PRD), and Sichuan Basin (SB). A multi-method approach, adopting different analytical and receptor modeling methods, was employed to determine the relative abundances of region-specific air pollution constituents and contributions of emission sources. This paper is focused on organic molecular marker based source apportionment using chemical mass balance (CMB) receptor modeling. Analyses of the organic molecular markers revealed that vehicle emission, coal combustion, biomass burning, meat cooking and natural gas combustion were the major contributors to organic carbon (OC) in PM2.5. The vehicle emission dominated the sources contributing to OC in spring at four sampling sites. During wintertime, the coal combustion had highest contribution to OC at BTH site, while the major source contributing to OC at YRD and PRD sites was vehicle emission. In addition, the relative contributions of different emission sources to PM2.5 mass at a specific location site and in a specific season revealed seasonal and spatial variations across all four sampling locations. The largest contributor to PM2.5 mass was secondary sulfate (14–17%) in winter at the four sites. The vehicle emission was found to be the major source (14–21%) for PM2.5 mass at PRD site. The secondary ammonium has minor variation (4–5%) across the sites, confirming the influences of regional emission sources on these sites. The distinct patterns of seasonal and spatial variations of source apportionment observed in this study were consistent with the findings in our previous paper based upon water-soluble ions and carbonaceous fractions. This makes it essential for the local government to make season- and region-specific mitigation strategies for abating PM2.5 pollution in China. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82377
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Mechanical and Manufacturing Engineering, University of CalgaryAlberta, Canada; School of Resources and Environmental Engineering, Wuhan University of Technology, 122 Luoshi Road, Wuhan, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
Recommended Citation:
Zhou J,, Xiong Y,, Xing Z,et al. Characterizing and sourcing ambient PM2.5 over key emission regions in China II: Organic molecular markers and CMB modeling[J]. Atmospheric Environment,2017-01-01,163