Articles | Volume 18, issue 7
https://doi.org/10.5194/acp-18-4831-2018
https://doi.org/10.5194/acp-18-4831-2018
Research article
 | 
10 Apr 2018
Research article |  | 10 Apr 2018

On the functional form of particle number size distributions: influence of particle source and meteorological variables

Katia Cugerone, Carlo De Michele, Antonio Ghezzi, Vorne Gianelle, and Stefania Gilardoni

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Cited articles

Asmi, A., Wiedensohler, A., Laj, P., Fjaeraa, A.-M., Sellegri, K., Birmili, W., Weingartner, E., Baltensperger, U., Zdimal, V., Zikova, N., Putaud, J.-P., Marinoni, A., Tunved, P., Hansson, H.-C., Fiebig, M., Kivekäs, N., Lihavainen, H., Asmi, E., Ulevicius, V., Aalto, P. P., Swietlicki, E., Kristensson, A., Mihalopoulos, N., Kalivitis, N., Kalapov, I., Kiss, G., de Leeuw, G., Henzing, B., Harrison, R. M., Beddows, D., O'Dowd, C., Jennings, S. G., Flentje, H., Weinhold, K., Meinhardt, F., Ries, L., and Kulmala, M.: Number size distributions and seasonality of submicron particles in Europe 2008–2009, Atmos. Chem. Phys., 11, 5505–5538, https://doi.org/10.5194/acp-11-5505-2011, 2011. a
Balakrishnan, N., Johnson, N. L., and Kotz, S.: Continuous univariate distributions, Wiley Series in Probability and Statistics, 1994. a
Barndorff-Nielsen, O.: Exponentially decreasing distributions for the logarithm of particle size, P. R. Soc. Lond.-A Conta, 353, 401–419, https://doi.org/10.1098/rspa.1977.0041, 1977. a
Barndorff-Nielsen, O.: Hyperbolic distributions and distributions on hyperbolae, Scand. J. Stat., 5, 151–157, 1978. a
Brown, W. K. and Wohletz, K. H.: Derivation of the Weibull distribution based on physical principles and its connection to the Rosin–Rammler and lognormal distributions, J. Appl. Phys., 78, 2758–2763, https://doi.org/10.1063/1.360073, 1995. a
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The aerosol particle number size distributions (PNSDs) measured in one urban background site (Milan) and in one rural mountainous site (Oga San Colombano) have been studied and compared. Detailed statistical analyses have shown that a common empirical PNSD pattern exists, except for the urban winter data. In order to explain this phenomenon, we analysed the aerosol dynamics by considering the influence of primary aerosol components and the interaction with precipitation and high wind speed.
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