Atmospheric Chemistry and Physics (Oct 2020)

Size-resolved particle number emissions in Beijing determined from measured particle size distributions

  • J. Kontkanen,
  • J. Kontkanen,
  • C. Deng,
  • Y. Fu,
  • L. Dada,
  • Y. Zhou,
  • J. Cai,
  • K. R. Daellenbach,
  • S. Hakala,
  • T. V. Kokkonen,
  • T. V. Kokkonen,
  • Z. Lin,
  • Y. Liu,
  • Y. Wang,
  • C. Yan,
  • C. Yan,
  • T. Petäjä,
  • J. Jiang,
  • M. Kulmala,
  • M. Kulmala,
  • P. Paasonen,
  • P. Paasonen

DOI
https://doi.org/10.5194/acp-20-11329-2020
Journal volume & issue
Vol. 20
pp. 11329 – 11348

Abstract

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The climate and air quality effects of aerosol particles depend on the number and size of the particles. In urban environments, a large fraction of aerosol particles originates from anthropogenic emissions. To evaluate the effects of different pollution sources on air quality, knowledge of size distributions of particle number emissions is needed. Here we introduce a novel method for determining size-resolved particle number emissions, based on measured particle size distributions. We apply our method to data measured in Beijing, China, to determine the number size distribution of emitted particles in a diameter range from 2 to 1000 nm. The observed particle number emissions are dominated by emissions of particles smaller than 30 nm. Our results suggest that traffic is the major source of particle number emissions with the highest emissions observed for particles around 10 nm during rush hours. At sizes below 6 nm, clustering of atmospheric vapors contributes to calculated emissions. The comparison between our calculated emissions and those estimated with an integrated assessment model GAINS (Greenhouse Gas and Air Pollution Interactions and Synergies) shows that our method yields clearly higher particle emissions at sizes below 60 nm, but at sizes above that the two methods agree well. Overall, our method is proven to be a useful tool for gaining new knowledge of the size distributions of particle number emissions in urban environments and for validating emission inventories and models. In the future, the method will be developed by modeling the transport of particles from different sources to obtain more accurate estimates of particle number emissions.