Analysis of PM2.5 Spatial Relation and Influencing Factors Based on Complex Network

• 1、Finance and Statistics School，Hunan University，Changsha 410000

Abstract：Based on the PM2.5 air quality data of various provinces in China from 2004 to 2019, and the PM2.5 air quality data of 85 cities in the Yangtze River Delta, Beijing-Tianjin-Hebei, Pearl River Delta and Central Plains urban agglomerations in 2019, using the modified gravity model and Pearson correlation Coefficient, to identify the spatial correlation of air pollution PM2.5 in various provinces and four major urban agglomerations in China. At the same time, QAP correlation analysis and regression analysis are used to deeply analyze the influencing factors of my country\'s air pollution PM2.5. Research has shown that China\'s PM2.5 spatial spillover has broken through the influence of geographically neighboring areas, presenting complex spatial spillover characteristics; the eastern developed areas such as Beijing, Zhejiang, and Guangdong occupy the dominant position in the network, and the remote areas in the west such as Guangxi and Guizhou Other provinces are located at the edge of the network; the interconnected networks within the four major urban agglomerations are more stable and show obvious characteristics of a small world. Hangzhou, Chuzhou, and Wuxi are the major polluting cities; spatial adjacency, differences in industrial agglomeration, and differences in economic development The difference in population structure and population structure has a significant positive impact on the PM2.5 spatial spillover. This paper proposes an innovative system for the joint prevention and control of PM2.5 pollution and the idea of coordinated management of PM2.5 pollution, to build a region centered on the major polluting cities, the overall center of the urban agglomeration, and the continuous expansion of the regional boundary of PM2.5 pollution. Regional coordinated prevention and control system.

Keywords： complex network air pollution；spatial correlation