Articles | Volume 16, issue 11
Atmos. Chem. Phys., 16, 7067–7090, 2016
https://doi.org/10.5194/acp-16-7067-2016
Atmos. Chem. Phys., 16, 7067–7090, 2016
https://doi.org/10.5194/acp-16-7067-2016

Research article 10 Jun 2016

Research article | 10 Jun 2016

Using a combined power law and log-normal distribution model to simulate particle formation and growth in a mobile aerosol chamber

Miska Olin et al.

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Cited articles

Adams, P. and Seinfeld, J.: Predicting global aerosol size distributions in general circulation models, J. Geophys. Res.-Atmos., 107, AAC 4–1–AAC 4–23, https://doi.org/10.1029/2001JD001010, 2002.
Barrett, J. and Webb, N.: A comparison of some approximate methods for solving the aerosol general dynamic equation, J. Aerosol Sci., 29, 31–39, https://doi.org/10.1016/S0021-8502(97)00455-2, 1998.
Dahneke, B.: Simple kinetic theory of Brownian diffusion in vapors and aerosols, in: Theory of Dispersed Multiphase Flow, edited by: Meyer, R. E., Academic Press, 97–133, https://doi.org/10.1016/B978-0-12-493120-6.50011-8, 1983.
Friedlander, S. K.: Smoke, dust, and haze: Fundamentals of aerosol dynamics, Oxford University Press, New York, USA, 2nd Edn., 2000.
Hinds, W. C.: Aerosol technology: properties, behavior, and measurement of airborne particles, John Wiley & Sons, Inc., Hoboken, USA, 2nd edn., 1999.
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We introduce a new representation of particle size distribution, in which a power law form is used in addition to the most commonly used log-normal representation. The new representation is beneficial in simulations involving the initial steps of aerosol formation, where power law behaviour is typically seen, instead of less accurate pure log-normal representation or computationally more expensive sectional representation.
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