Author(s)

Kaiguang Zhang, Hongling Meng, Mingting Ba, Yanmin Sun

School of Geography and Tourism, Zhengzhou Normal University, Zhengzhou, China.

The research of the spatial heterogeneity of PM2.5 concentration in an area, is of great significance for understanding its regional spatial distribution structure, exploring the transmission relationship between regions, in order to formulate joint prevention and control measures within the entire area. Based on the daily monitoring data of PM2.5 concentration in the Central Plains Economic Region in 2019, this paper utilizes cluster analysis to divide the regional PM2.5 concentration into 5 classes, builds their spatial semi-variogram model, and then utilizes interpolation analysis method to study the regional overall distribution characteristics and transmission law. The results show that the PM2.5 concentration in the Central Plains Economic Region has a medium or higher spatial autocorrelation. The critical value of the overall PM2.5 concentration in the area is 150 μg/m3, as the overall PM2.5 concentration less than the value, the PM2.5 in a region mainly comes from local emissions, as the overall PM2.5 concentration higher than the value, the influence of spatial structure on the distribution of PM2.5 concentration is gradually obvious. PM2.5 has a certain degree of spatial transmission, which mainly includes two routes as Puyang-Xingtai and Puyang-Zhengzhou, and the transmission intensity of the former is greater than the latter.

Cluster Analysis, Semi-Variogram, Spatial Heterogeneity, Spatial Structure, Central Plains Economic Region

Zhang, K. , Meng, H. , Ba, M. and Sun, Y. (2020) Spatial Heterogeneity Analysis of PM2.5 Concentration in Central Plains Economic Region. Journal of Geoscience and Environment Protection, 8, 244-254. doi: 10.4236/gep.2020.812015.