Volume 12 Issue 3
May  2022
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Article Navigation >  Journal of Environmental Engineering Technology  > 2022  >  12(3): 683-692
LI Q F,DING X Y,LIU C M,et al.Research on the temporal and spatial distribution of PM2.5 at the township scales: a case study in Shijiazhuang City[J].Journal of Environmental Engineering Technology，2022，12（3）：683-692 doi: 10.12153/j.issn.1674-991X.20210474
Citation: LI Q F,DING X Y,LIU C M,et al.Research on the temporal and spatial distribution of PM2.5 at the township scales: a case study in Shijiazhuang City[J].Journal of Environmental Engineering Technology，2022，12（3）：683-692 doi: 10.12153/j.issn.1674-991X.20210474
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Research on the temporal and spatial distribution of PM2.5 at the township scales: a case study in Shijiazhuang City

doi: 10.12153/j.issn.1674-991X.20210474
  • 1.

    Shijiazhuang Environmental Monitoring Center

  • 2.

    School of Geographical Sciences, Hebei Normal University

  • 3.

    Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change

  • 4.

    State Key Joint Laboratory of Environmental Simulation and Pollution Control

  • Received Date: 2021-08-31
    Available Online: 2022-06-07
    Abstract

  • The spatial and temporal distribution characteristics of PM2.5 were analyzed at the township scales with the monitoring data from 261 automatic air quality monitoring stations of Shijiazhuang City in 2018, using the spatial analysis method of geographic information systems (GIS). The correlation characteristics between PM2.5 and its precursors (SO2, NO2) were also discussed. The results showed that the annual concentration of PM2.5 in 261 townships was 41-112 μg/m3 in 2018, which exceeded the secondary standard limit of Ambient Air Quality Standards (GB 3095-2012). The concentration of PM2.5 was generally lower in the mountainous area with higher terrain in the northwest than that in the plain area in the southeast, and it was lower in the main urban area than that in the surrounding counties (cities and districts). In respect of seasonal variation, the average concentrations of PM2.5 in Shijiazhuang City was the highest in winter and lowest in summer. Monthly average concentrations of PM2.5 showed that it was from January to March and from November to December that the data of PM2.5 were higher than those of the rest months of the year, August was the month that with the lowest monthly average concentration. The concentration of PM2.5 was significantly positively correlated with the concentration of both SO2 and NO2 in the observation period. The degree of the correlation was the weakest in summer and the strongest in winter, and the more serious the pollution was, the more significant the degree of regional correlation was.

     

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