Analysis of the Temporal and Spatial Variation of Atmospheric Quality from 2015 to 2019 based on China Atmospheric Environment Monitoring Station
DONG Jiadan, CHEN Xiaoling, CAI Xiaobin, XU Qiangqiang, GUAN Yuting, LI Tinghui, LIU Shiyan, and CHEN Fang
After 2013, several serious haze pollution events in China have attracted wide attention from the public. Therefore, the Chinese government has developed a series of policies, measures, and laws for air pollution prevention and control. We select the air quality index and six key air pollutant observations in the natioAfter 2013, several serious haze pollution events in China have attracted wide attention from the public. Therefore, the Chinese government has developed a series of policies, measures, and laws for air pollution prevention and control. We select the air quality index and six key air pollutant observations in the national air environmental monitoring station network of China to analyze the changes trend and spatial pattern of the country-scaled atmospheric quality from 2015 to 2019. The annual and seasonal average concentrations of these parameters were used to investigate their relationships by using the ratios and correlation coefficients among them. The results showed that the concentration of PM2.5, PM10, SO2, CO, NO2, and AQI all decreased significantly. The annual average concentrations of them in 2019 decreased by 4.5%,3.84%,7.86%,3.74%, 0.95%, and 19.31%, respectively, compared with that in 2015. Only O3 significantly increased by 0.79% in the same period. The average annual concentrations of PM10, PM2.5, O3, NO2, SO2,CO, and AQI in northern China all are higher than those in southern China by 25.2%, 18.73%, 4.95%, 17.6%, 32.74%, 16.17%, and 28.3%, respectively. Besides, AQI and all six pollutants showed the seasonality. The seasonal variation pattern of O3 exists with a higher concentration in summer and a lower concentration in winter, while the other five pollutants and AQI present the inverse seasonality. In general, PM2.5 and O3 are the most severe air pollutants in China during these five years. Furthermore, the relationships among different pollutants were found in the study period. The PM2.5 concentration is significantly positively correlated with NO2, SO2 and CO (r>0.85, p<0.01), and O3 is negatively correlated with its precursor NO2 and CO (r>0.8, p<0.01)..
Journal of Geo-information Science
- Publication Date: Oct. 25, 2020
- Vol.22 Issue, 10 1983 (2020)