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The interactions between PM2.5 and meteorological factors play a crucial rolein air pollution analysis. However, previous studies that have researched therelationships between PM2.5 concentration and meteorological conditions havebeen mainly confined to a certain city or district, and the correlation overthe whole of China remains unclear. Whether or not spatial and seasonalvariations exit deserves further research. In this study, the relationshipsbetween PM2.5 concentration and meteorological factors were investigated in 74major cities in China for a continuous period of 22 months from February 2013to November 2014, at season, year, city, and regional scales, and the spatialand seasonal variations were analyzed. The meteorological factors were relativehumidity (RH), temperature (TEM), wind speed (WS), and surface pressure (PS).We found that spatial and seasonal variations of their relationships with PM2.5do exist. Spatially, RH is positively correlated with PM2.5 concentration inNorth China and Urumqi, but the relationship turns to negative in other areasof China. WS is negatively correlated with PM2.5 everywhere expect for HainanIsland. PS has a strong positive relationship with PM2.5 concentration inNortheast China and Mid-south China, and in other areas the correlation isweak. Seasonally, the positive correlation between PM2.5 concentration and RHis stronger in winter and spring. TEM has a negative relationship with PM2.5 inautumn and the opposite in winter. PS is more positively correlated with PM2.5in autumn than in other seasons. Our study investigated the relationshipsbetween PM2.5 and meteorological factors in terms of spatial and seasonalvariations, and the conclusions about the relationships between PM2.5 andmeteorological factors are more comprehensive and precise than before.

The relationships between PM2.5 and meteorological factors in China: Seasonal and regional variations