4.7 Article

Source apportionment of size segregated fine/ultrafine particle by PMF in Beijing

期刊

ATMOSPHERIC RESEARCH
卷 139, 期 -, 页码 90-100

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.atmosres.2014.01.007

关键词

PMF; UFPs; Haze; Source apportionment; Particle number concentration

资金

  1. National Natural Science Foundation [41105111, 41275134]
  2. Research Found of CRAES [2012ysky09]

向作者/读者索取更多资源

Considering the adverse health effects to human body, the number concentration of atmospheric PM (particulate material) is more important than the mass concentration. CO, NO, NO2, SO2 and number concentrations of PM were obtained from a remote site (Miyun), a roadside site (North Fourth Ring Road) and an urban residential site (Tsinghua University) in Beijing in winter. The size distribution and the possible sources of number concentrations were examined using EPA PMF (positive matrix factorization) model. A data set of totally 9610 of number concentration with the size range of 0.028 mu m to 0.948 mu m was included in the PMF analysis. The highest total particle number, mass and area of fine particles concentrations were observed at the North Fourth Ring Road site and the lowest were observed at Miyun site. Four factors were identified at Miyun site, as Factor 1 and Factor 4 may be related to long distance transportation, and Factor 2 and Factor 3 may be assigned as coal combustion and locomotive emission nearby, respectively; three factors were identified at North Fourth Ring Road, of which Factor 1 and Factor 3 are traffic related and Factor 2 may be coal combustion related. Compared with Factor 1, the contributions of Factor 3 to NOx and SO2 were 4-5 times higher. Additionally, Factor 3 was also a major contributor to CO. It suggested that Factor 1 and Factor 3 had the same source emission of motor vehicle, but different engine types, fuel types or exhaust treatments. Three factors were identified at Tsinghua site, as Factor 1 may come from aging vehicle emission, and Factor 2 and Factor 3 may be coal combustion related. (C) 2014 Elsevier B.V. All rights reserved.

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