Source Journal of CSCD
Source Journal for Chinese Scientific and Technical Papers
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Volume 41 Issue 2
Feb.  2023
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ZHANG Qing, ZHAO Liya, GUO Zhiwei, QI Kai. SPATIAL AND TEMPORAL DISTRIBUTION CHARACTERISTICS OF ATMOSPHERIC POLLUTANTS IN WUHAN FROM 2017 TO 2020[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(2): 82-90. doi: 10.13205/j.hjgc.202302012
Citation: ZHANG Qing, ZHAO Liya, GUO Zhiwei, QI Kai. SPATIAL AND TEMPORAL DISTRIBUTION CHARACTERISTICS OF ATMOSPHERIC POLLUTANTS IN WUHAN FROM 2017 TO 2020[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(2): 82-90. doi: 10.13205/j.hjgc.202302012

SPATIAL AND TEMPORAL DISTRIBUTION CHARACTERISTICS OF ATMOSPHERIC POLLUTANTS IN WUHAN FROM 2017 TO 2020

doi: 10.13205/j.hjgc.202302012
  • Received Date: 2021-10-31
    Available Online: 2023-05-25
  • Publish Date: 2023-02-01
  • An investigation on the spatial and temporal distribution characteristics and correlation analysis with meteorological elements were conducted on the main atmospheric pollutants (PM2.5, PM10, SO2, CO, NO2 and O3) in Wuhan from 2017 to 2020, to understand the level of atmospheric pollution in each district of Wuhan. The results were as follows:The overall achievement rate of ambient air quality in Wuhan over the past four years was 72.98%. The pollution of PM2.5, PM10, SO2, CO and NO2 was more serious in winter, and less in summer; the pollution of O3 was more in summer, and less in winter. PM2.5 and PM10 were the exceeding pollutants among the atmospheric pollutants, but the annual average mass concentrations were on a decreasing trend, while O3 was the only air pollutant whose annual average mass concentration was on the rise, so particulate matters and ozone pollution should be paid on more attention in the future. PM2.5, PM10, SO2, CO and NO2 were more concentrated in Wuchang District, Caidian District, Qingshan District, Jianghan District, Jiangan District, and O3 were concentrated in Huangpi District, Xinzhou District and Jiangxia District. PM2.5, PM10, SO2, CO and NO2 were significantly positively correlated with each other, while O3 and these five atmospheric pollutants were significantly negatively correlated. Mean temperature was significantly negatively correlated with PM2.5, PM10, SO2, CO and NO2, and significantly and strongly positively correlated with O3. Sunshine duration was significantly negatively correlated with all six pollutants. Mean wind speed was significantly negatively correlated with PM2.5, PM10, SO2, CO and NO2, and significantly positively correlated with O3. Relative humidity had the least effect on air pollutants and was only weakly correlated with SO2. The main meteorological elements affecting air pollutants in Wuhan were average temperature and sunshine duration.
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