Source Journal of CSCD
Source Journal for Chinese Scientific and Technical Papers
Core Journal of RCCSE
Included in JST China
Volume 41 Issue 2
Feb.  2023
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GONG Shengyan, LIAN Haifeng, QUE Xiang, LIU Jinfu, TAN Fanglin. AIR POLLUTION STUDY BASED ON APEI IN FUJIAN, CHINA FROM 2013 TO 2018[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(2): 73-81. doi: 10.13205/j.hjgc.202302011
Citation: GONG Shengyan, LIAN Haifeng, QUE Xiang, LIU Jinfu, TAN Fanglin. AIR POLLUTION STUDY BASED ON APEI IN FUJIAN, CHINA FROM 2013 TO 2018[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(2): 73-81. doi: 10.13205/j.hjgc.202302011

AIR POLLUTION STUDY BASED ON APEI IN FUJIAN, CHINA FROM 2013 TO 2018

doi: 10.13205/j.hjgc.202302011
  • Received Date: 2022-02-26
    Available Online: 2023-05-25
  • Publish Date: 2023-02-01
  • In order to accurately measure the air pollution in Fujian province at the regional (county, city) scale, the APEI index was constructed. Based on high-resolution air pollution data set and nighttime light data, the spatio-temporal variation characteristics of air pollution degree and its influencing factors in 78 counties and cities of Fujian province from 2013 to 2018 were analyzed. Results showed that:1) air pollution degree in the counties and cities in the north of the center of Fujian province is low, and air pollution degree in the coastal counties and cities in the east of Fujian province is serious. In the past 6 years, 78.21% of counties and cities in Fujian province reduced their air pollution; 2) the serious air pollution in the eastern coastal areas of the province is mainly manifested in two kinds of air pollutants, NO2 and PM10, both exceeding the average level of the province; 3) from the time series variation trend of atmospheric pollutants, O3 shows a U-shaped change; PM2.5 and PM10 have similar changes, decreasing year by year from 2014 to 2018 by 23.15% and 12.21% respectively. CO changes in an inverted U shape. SO2 and NO2 decreased, respectively; 4) the six kinds of air pollutants showed obvious seasonal fluctuation; 5) spatio-temporal heterogeneity of the impact of night light on APEI was analyzed by using spatiotemporal weighted regression (STWR) model. It was found that the negative influence area continued to expand from 2014 to 2018. The regression coefficients of 34 counties and cities were all positive in five years, indicating that these counties and cities are prone to air pollution caused by human activities; 6) air quality index (AQI) and air quality composite index (AQCI) are used to evaluate the ranking of the comprehensive air pollution degree in Fujian province in the past six years, and it was found that APEI index could better tell the relationship between the real concentration.
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