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Particulate Matter (PM) is an important indicator of the degree of air pollution. The PM type and the ratio of coarse and fine PM particles determine the ability to affect human health and atmospheric processes. Using the observation data across the country from 2015 to 2018, this study investigates the distribution and proportion of PM 2.5 and PM 10 at different temporal and spatial scales in mainland China; clarifies the PM 2.5 , PM 10 and PM 2.5 /PM 10 ratios interrelation; and classifies the dust, mixed, and anthropogenic type aerosol. It shows that the annual average concentration of PM 2.5 and PM 10 decreased by 10.55 and 8.78 μg m −3 in 4 years. PM 2.5 , PM 10 , and PM 2.5 /PM 10 ratios show obvious while different seasonal variations. PM 2.5 is high in winter and low in summer, while PM 10 is high in winter and spring, and low in summer and autumn. Differently, the PM 2.5 /PM 10 ratios are the highest in winter, and the lowest in spring. PM 2.5 /PM 10 ratios show strong independence on PM 2.5 and PM 10 , implying that it can provide extra information about the aerosol pollution such as aerosol type. A classification method about air pollution types is then further proposed based on probability distribution function (PDF) morphology of PM 2.5 /PM 10 ratios. The results show that dust type mainly lies in the west of Hu-Line, mixed type pollution distributes near Hu-Line, and the anthropogenic type dominates over North China Plain and cities in southern China. The results provide insights into China’s future clean air policy making and environmental research.
Fan et al. (Mon,) studied this question.