Measurement report: Size distributions of urban aerosols down to 1 nm from long-term measurements

Author:

Deng Chenjuan,Li Yiran,Yan ChaoORCID,Wu Jin,Cai Runlong,Wang Dongbin,Liu YongchunORCID,Kangasluoma JuhaORCID,Kerminen Veli-MattiORCID,Kulmala MarkkuORCID,Jiang Jingkun

Abstract

Abstract. The size distributions of urban atmospheric aerosols convey important information on their origins and impacts. Their long-term characteristics, especially for sub-3 nm particles, are still limited. In this study, we examined the characteristics of atmospheric aerosol size distributions down to ∼1 nm based on 4-year measurements in urban Beijing. Using cluster analysis, three typical types of number size distributions were identified, i.e., daytime new particle formation (NPF) type, daytime non-NPF type, and nighttime type. Combining a power law distribution and multiple lognormal distributions can well represent the sharp concentration decrease of sub-3 nm particles with increasing size and the modal characteristics for those above 3 nm in the submicron size range. The daytime NPF type exhibits high concentrations of sub-3 nm aerosols together with other three modes. However, both the daytime non-NPF type and the nighttime type have a low abundance of sub-3 nm aerosol particles together with only two distinct modes. In urban Beijing, the concentration of H2SO4 monomer during the daytime with NPF is similar to that during the daytime without NPF, while significantly higher than that during the nighttime. The concentration of atmospheric sub-3 nm particles on NPF days has a strong seasonality while their seasonality on non-NPF days is less pronounced. In addition to NPF as the most important source, we show that vehicles can emit sub-3 nm particles as well, although their influence on the measured aerosol population strongly depends on the distance from the road.

Funder

National Natural Science Foundation of China

Samsung

Academy of Finland

Jane ja Aatos Erkon Säätiö

FP7 Ideas: European Research Council

Publisher

Copernicus GmbH

Subject

Atmospheric Science

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