In recent years,extreme weather has occurred frequently in central China,and the degree of air pollu-tion has become more and more serious.As an important economic and transportation hub in China,it is necessary to study its air pollution.Based on multi-source remote sensing data,this study used the MK test method to ana-lyze the spatial and temporal distribution characteristics of PM2.5 concentration in Central China from 2000 to 2021,and used the geographic detector method to explore the factors affecting PM2.5 concentration in this region.The results showed that PM2.5 concentrations in central China were high in the north and low in the south,high in the east and low in the west.The annual average PM2.5 concentration in the region showed an inverted V-shaped distribution characteristics,and the annual average PM2.5 concentration increased significantly from 2000 to 2009 and decreased significantly from 2010 to 2021.PM2.5 concentrations abruptly changed in 2019 due to the outbreak of the pandemic.Among all the driving factors,relative humidity was the strongest driver("q"=0.733),and it was the strongest interaction factor with carbon emissions("q"=0.84).The interaction detection results show that the explanatory effect of the interaction between social factors and natural factors is greater than that of other fac-tors,indicating that the distribution of PM2.5 in the region is affected by both natural and social factors.
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