Volume 11 Issue 2
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LI Mingzhu, XU Jun, LIU Houfeng, GONG Anbao, DU Xiaohui. PM2.5 source apportionment over Jinan Metropolitan Area[J]. Journal of Environmental Engineering Technology, 2021, 11(2): 209-216. doi: 10.12153/j.issn.1674-991X.20200145
Citation: LI Mingzhu, XU Jun, LIU Houfeng, GONG Anbao, DU Xiaohui. PM2.5 source apportionment over Jinan Metropolitan Area[J]. Journal of Environmental Engineering Technology, 2021, 11(2): 209-216. doi: 10.12153/j.issn.1674-991X.20200145
shu

PM2.5 source apportionment over Jinan Metropolitan Area

doi: 10.12153/j.issn.1674-991X.20200145
  • 1.

    Chinese Research Academy of Environmental Sciences

  • 2.

    College of Geography and Environment, Shandong Normal University

  • 3.

    Shandong Academy for Ecology Environmental Planning

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  • Corresponding author: XU Jun E-mail: xujun@craes.org.cn
  • Received Date: 2020-06-09
  • Publish Date: 2021-03-20
    Abstract
  • Based on the PSAT particulate source tracing technology of camx model, the quantitative analysis of PM2.5 pollution, regional transport law and sector contribution for cities over Jinan Metropolitan Area were performed for year 2016. The results showed that in terms of the annual mean source apportionment of PM2.5, for the local area of Jinan City, the emission accounted for about 50%, while the whole Jinan Metropolitan Area contributed 75%. The mutual contributions among Jinan Metropolitan Area cities were obvious, up to 13%. In summer, the local contribution was the largest and the regional transport in the eastern Shandong region had the highest impact on the study area by 24%. While in winter, affected by the winter monsoon, the regional transport from Beijing-Tianjin-Hebei Region increased, up to 24%. At present, as far as Jinan Metropolitan Area was concerned, the major sectors contributed to PM2.5 included industrial boilers, steel industry, fugitive dust, chemical industry, metallurgical industry, building material industry, and automobile source. The targeted counter-measure for the above sectors may be a fast and effective approach to reduce PM2.5 pollution.

     

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