43Understanding spatiotemporal variation of PM 1 (mass concentrations of particles with 44 aerodynamic diameter < 1 µm) is important due to its adverse effects on health, which is 45 potentially more severe for its deeper penetrating capability into human bodies compared 46 with larger particles. This study aimed to quantify the spatial and temporal distribution of 47 PM 1 across China as well as its ratio with PM 2.5 (< 2.5 µm) and relationships with 48 meteorological parameters in order to deepen our knowledge of the drivers of air pollution in 49 China. Ground-based monitoring PM 1 and PM 2.5 measurements, along with collocated 50 meteorological data, were obtained from 96 stations in China for the period from November 51 2013 to December 2014. Generalized additive models were employed to examine the 52 relationships between PM 1 and meteorological parameters. We showed that PM 1 53 concentrations were the lowest in summer and the highest in winter. Across China, the 54 PM 1 /PM 2.5 ratios ranged from 0.75 to 0.88, reaching higher levels in January and lower in 55 August. For spatial distribution, higher PM 1 /PM 2.5 ratios (>0.9) were observed in North-
56Eastern China, North China Plain, coastal areas of Eastern China and Sichuan Basin while 57 lower ratios (<0.7) were present in remote areas in North-Western and Northern China (e.g.,
58Xinjiang, Tibet and Inner Mongolia). Higher PM 1 /PM 2.5 ratios were observed on heavily 59 polluted days and lower ratios on clean days. The high PM 1 /PM 2.5 ratios observed in China 60 suggest that smaller particles, PM 1 fraction, are key drivers of air pollution, and that they 61 effectively account for the majority of PM 2.5 concentrations. This emphasised the role of 62 combustion process and secondary particle formation, the sources of PM 1 , and the 63 significance of controlling them. 64 65 Capsule: Smaller particles, PM 1 fraction, are key drivers of air pollution in China accounting 66 for the majority of PM 2.5 concentrations.