Spatiotemporal Evolution Characteristics of PM2.5-O3 Compound Pollution in Chinese Cities from 2015 to 2020

被引：4

作者：

Niu X.-X. ^{[1
]}

Zhong Y.-M. ^{[1
]}

Yang L. ^{[1
]}

Yi J.-H. ^{[1
]}

Mu H. ^{[1
]}

Wu Q. ^{[1
]}

Hong S. ^{[1
]}

He C. ^{[2
]}

机构：

[1] Key Laboratory of Geographic Information System, Ministry of Education, School of Resources and Environmental Sciences, Wuhan University, Wuhan

[2] College of Resources and Environment, Yangtze University, Wuhan

来源：

Huanjing Kexue/Environmental Science | 2023年 / 44卷 / 04期

关键词：

China; compound pollution; ozone(O[!sub]3[!/sub] ); PM[!sub]2.5[!/sub; spatiotemporal evolution;

D O I：

10.13227/j.hjkx.202205018

中图分类号：

学科分类号：

摘要：

Based on the monitoring data of PM2.5 and O3 concentrations in 333 cities in China from 2015 to 2020, using spatial clustering, trend analysis, and the geographical gravity model, this study quantitatively analyzed the characteristics of PM2.5 -O3 compound pollution concentrations and its spatiotemporal dynamic evolution pattern in major cities in China. The results showed that: 1 there was a synergistic change in PM2.5 and O3 concentrations. When Ρ(PM2.5 _mean)≤85 μg•m- 3 , for every 10 μg•m- 3 increase in Ρ(PM2.5 _mean), the peak of the mean value of Ρ(O3 _perc90) increased by 9. 98 μg•m- 3 . When Ρ(PM2.5 _mean) exceeded the national Grade II standards of (35 +10) μg•m- 3 , the peak of the mean value of Ρ(O3 _perc90) increased the fastest, with an average growth rate of 11. 81%. In the past six years, on average, 74. 97% of Chinese cities with compound pollution had a Ρ(PM2.5 _mean) in the range of 45 to 85 μg•m- 3 . When Ρ(PM2.5 _mean) >85 μg•m- 3 , the mean value of Ρ(O3 _perc90) showed a significant decreased trend. 2 The spatial clustering pattern of PM2.5 and O3 concentrations in Chinese cities was similar, and hot spots of the six-year mean values of Ρ(PM2.5 _mean) and Ρ(O3 _perc90) were distributed in the Beijing-Tianjin-Hebei urban agglomeration and other cities in the Shanxi, Henan, and Anhui provinces. 3 The number of cities with PM2.5 -O3 compound pollution showed an interannual variation trend of increasing first (2015-2018) and then decreasing (2018-2020) and a seasonal trend of gradually decreasing from spring to winter. Further, the compound pollution phenomenon mainly occurred in the warm season (April to October). 4 The spatial distribution of PM2.5 -O3 compound polluted cities was changing from dispersion to aggregation. From 2015 to 2017, the compound polluted areas spread from the eastern coastal areas to the central and western regions of China, and by 2017, a large-scale polluted area centered on the Beijing-Tianjin-Hebei urban agglomeration, the Central Plains urban agglomeration, and surrounding areas was formed. 5 The migration directions of PM2.5 and O3 concentration centers were similar, and there were obvious trends of moving westward and northward. The problem of high-concentration compound pollution was concentrated and highlighted in cities in central and northern China. In addition, since 2017, the distance between the centers of gravity of PM2.5 and O3 concentrations in the compound polluted areas had been significantly reduced, with a reduction of nearly 50%. © 2023 Science Press. All rights reserved.

引用

页码：1830 / 1840

页数：10

共 45 条

[1] Xiao Z M, Xu H, Gao J Y, Et al., Characteristics and sources of PM2.5-O3 compound pollution in Tianjin, Environmental Science, 43, 3, pp. 1140-1150, (2022)
[2] Wang L L, Liu X J, Li D, Et al., Geographical detection of spatial heterogeneity and drivers of PM2.5 in the Yangtze River economic belt, Environmental Science, 43, 3, pp. 1190-1200, (2022)
[3] pp. 1-5, (2021)
[4] Zhao S T, Wang L T, Qi M Y, Et al., Study on the characteristics and mutual influence of PM2.5 -O3 complex pollutionin Handan [ J ], Acta Scientiae Circumstantiae, 41, 6, pp. 2250-2261, (2021)
[5] Lai A Q, Chen X Y, Liu Y M, Et al., Numerical simulation of a complex pollution episode with high concentrations of PM2.5 and O3 over the Pearl River Delta region, China, China Environmental Science, 37, 11, pp. 4022-4031, (2017)
[6] Jia M W, Zhao T L, Zhang X Z, Et al., Seasonal variations in major air pollutants in Nanjing and their meteorological correlation analyses, China Environmental Science, 36, 9, pp. 2567-2577, (2016)
[7] Li T T, Wei P, Cheng S Y, Et al., Analysis of a near earth surface O3 and PM2.5 pollution in combination with its contaminating process in Beijing, Journal of Safety and Environment, 17, 5, pp. 1979-1985, (2017)
[8] Wang Z S, Zhang D W, Li Y T, Et al., Different air pollution situations of O3 and PM2.5 during summer in Beijing, Environmental Science, 37, 3, pp. 807-815, (2016)
[9] Liu K X, Lu M M, Zhang Y F, Et al., Analysis of characteristics and meteorological causes of O3-PM2.5 compound pollution in summer and autumn over Tianjin, Acta Scientiae Circumstantiae, 41, 9, pp. 3650-3662, (2021)
[10] Xiao Z M, Li Y, Kong J, Et al., Characteristics and meteorological factors of PM2.5-O3 compound pollution in Tianjin, Environmental Science, 43, 6, pp. 2928-2936, (2022)

← 1 2 3 4 5 →