Volume 13 Issue 3
May  2023
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Article Navigation >  Journal of Environmental Engineering Technology  > 2023  >  13(3): 909-920
DAI R,GU C,XU T,et al.Characteristics and sources apportionment of size-segregated atmospheric particles in Ili Valley Urban Agglomeration in summer[J].Journal of Environmental Engineering Technology，2023，13（3）：909-920 doi: 10.12153/j.issn.1674-991X.20220598
Citation: DAI R,GU C,XU T,et al.Characteristics and sources apportionment of size-segregated atmospheric particles in Ili Valley Urban Agglomeration in summer[J].Journal of Environmental Engineering Technology，2023，13（3）：909-920 doi: 10.12153/j.issn.1674-991X.20220598
shu

Characteristics and sources apportionment of size-segregated atmospheric particles in Ili Valley Urban Agglomeration in summer

doi: 10.12153/j.issn.1674-991X.20220598
  • 1.

    College of Quality and Technical Supervision, Hebei University

  • 2.

    Chinese Research Academy of Environmental Sciences

  • 3.

    Ecological Environment Monitoring Centre of Xinjiang Uygur Autonomous Region

  • Received Date: 2022-06-08
  • Accepted Date: 2023-02-02
  • Rev Recd Date: 2022-09-19
    Abstract

  • To analyze the composition characteristics and sources of atmospheric particulate matter with different particle sizes in Ili Valley Urban Agglomeration, PM2.5 and PM10 samples were collected at six sampling sites in four cities/counties, including Yining City, Yining County, Qapqal Xibe Autonomous County and Huocheng County from July 19 to 29, 2021. The chemical components, including elements, ions and carbon components, of these samples were analyzed, and the chemical mass balance model was used to analyze their sources. The results showed that the concentrations of PM2.5 and PM10 in the urban agglomeration in Ili Valley core area were at low levels during the sampling period, which were (22.81±2.79) and (58.81±6.95) μg/m3, respectively. Among the four cities/counties, the concentrations in Yining City and Yining County were higher than those in Huocheng County and Qapqal Xibe Autonomous County. The results of chemical mass closure analysis showed that mineral dust was the main component of PM2.5 and PM10 during the study, accounting for 39.8% and 54.1%, respectively. Organic matter was the next, accounting for 33.2% and 19.8%, respectively. Secondary inorganic ions also accounted for 20.2% and 10.7% of PM2.5 and PM10, respectively. The result of sources apportionment by chemical mass balance model showed that PM2.5 was mainly contributed by secondary particulate matter (29.1%), dust sources (28.3%), industrial sources (16.1%), motor vehicles (10.5%) and coal combustion sources (9.3%), and PM10 by dust sources (42.3%), secondary particulate matter (14.7%), industrial sources (14.1%), motor vehicles (8.4%) and coal combustion sources (7.3%).

     

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