A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
Classification of Urban Pollution Levels Based on Clustering and Spatial Statistics
In recent years, the occurrence and frequency of haze are constantly increasing, severely threatening people's daily lives and health and bringing enormous losses to the economy. To this end, we used cluster analysis and spatial autocorrelation methods to discuss the spatial and temporal distribution characteristics of severe haze in China and to classify regions of China. Furthermore, we analyzed the interaction between haze pollution and the influence of economy and energy structure in 31doi:10.3390/atmos13030494 fatcat:bw35oglb6zh2jjou66orwlo2cm