EGU22-6890, updated on 28 Mar 2022
https://doi.org/10.5194/egusphere-egu22-6890
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Variation Characteristics of PM2.5 and PM10 Concentration and its Driving Factors in the Yangtze River Economic Belt

Yao Yao1 and zi qi He2
Yao Yao and zi qi He
  • 1China University of Geosciences, School of environmental studies, Department of Environmental Science and Engineering, Wuhan, China (2640411192@qq.com)
  • 2China University of Geosciences, School of environmental studies, Department of Hydrology and Water Resources Engineering, Wuhan, China (1454041002@qq.com)

Studying the changes of PM2.5 and PM10 in the Yangtze River Economic Belt will help promote the comprehensive management of regional air pollution and promote the ecological environment protection and high-quality economic development of the Yangtze River Economic Belt. This paper selects monthly observation data of six pollutants from 126 cities in the Yangtze River Economic Belt from 2015 to 2020, and applies Mann-Kendall mutation test, Pearson correlation coefficient analysis, spatial autocorrelation analysis and spatial regression analysis to study PM2.5 and PM10 temporal and spatial distribution, evolution characteristic and driving factors, and applies the HYSPLIT backward trajectory analysis model to study the potential impact of long-distance air transport and atmospheric boundary layer conditions on the diffusion and transmission of PM2.5 and PM10 pollution sources in the Yangtze River Economic Belt. The annual average concentrations of PM2.5 and PM10 in the Yangtze River Economic Belt significantly decreased year by year, with obvious seasonal trend of high concentration in winter and low concentration in summer. There is a significant positive spatial correlation relationship, and the spatial accumulation is obvious. In addition, there is a significant positive correlation and homology with other gaseous pollutants. The air mass retrospective direction and atmospheric boundary layer conditions of the upper, middle and lower Yangtze River urban agglomerations have different effects on PM2.5 and PM10. The regional GDP, the proportion of the secondary industry, the population density and the green coverage rate in the built-up areas all affected positively the local PM2.5 and PM10 concentrations. Overall, regional cooperating depollution, synergetic reduction of various air pollutants and transformation of economic development patterns can fundamentally solve the problems of PM2.5 and PM10 pollution in the Yangtze River Economic Belt.

How to cite: Yao, Y. and He, Z. Q.: Variation Characteristics of PM2.5 and PM10 Concentration and its Driving Factors in the Yangtze River Economic Belt, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6890, https://doi.org/10.5194/egusphere-egu22-6890, 2022.

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