Articles | Volume 22, issue 22
https://doi.org/10.5194/acp-22-15071-2022
https://doi.org/10.5194/acp-22-15071-2022
Research article
 | 
25 Nov 2022
Research article |  | 25 Nov 2022

Survival probabilities of atmospheric particles: comparison based on theory, cluster population simulations, and observations in Beijing

Santeri Tuovinen, Runlong Cai, Veli-Matti Kerminen, Jingkun Jiang, Chao Yan, Markku Kulmala, and Jenni Kontkanen

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Cited articles

Anttila, T., Kerminen, V.-M., and Lehtinen, K. E. J.: Parameterizing the formation rate of new particles: The effect of nuclei self-coagulation, J. Aerosol Sci., 41, 621–636, https://doi.org/10.1016/j.jaerosci.2010.04.008, 2010. 
Apsokardu, M. J. and Johnston, M. V.: Nanoparticle growth by particle-phase chemistry, Atmos. Chem. Phys., 18, 1895–1907, https://doi.org/10.5194/acp-18-1895-2018, 2018. 
Cai, R. and Jiang, J.: A new balance formula to estimate new particle formation rate: reevaluating the effect of coagulation scavenging, Atmos. Chem. Phys., 17, 12659–12675, https://doi.org/10.5194/acp-17-12659-2017, 2017. 
Cai, R., Chen, D.-R., Hao, J., and Jiang, J.: A miniature cylindrical differential mobility analyzer for sub-3 nm particle sizing, J. Aerosol Sci., 106, 111–119, https://doi.org/10.1016/j.jaerosci.2017.01.004, 2017a. 
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We compare observed survival probabilities of atmospheric particles from Beijing, China, with survival probabilities based on analytical formulae and model simulations. We find observed survival probabilities under polluted conditions at smaller sizes to be higher, while at larger sizes they are lower than or similar to theoretical survival probabilities. Uncertainties in condensation sink and growth rate are unlikely to explain higher-than-predicted survival probabilities at smaller sizes.
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