Articles | Volume 9, issue 2
https://doi.org/10.5194/gmd-9-451-2016
https://doi.org/10.5194/gmd-9-451-2016
Development and technical paper
 | 
04 Feb 2016
Development and technical paper |  | 04 Feb 2016

Modelling the dispersion of particle numbers in five European cities

J. Kukkonen, M. Karl, M. P. Keuken, H. A. C. Denier van der Gon, B. R. Denby, V. Singh, J. Douros, A. Manders, Z. Samaras, N. Moussiopoulos, S. Jonkers, M. Aarnio, A. Karppinen, L. Kangas, S. Lützenkirchen, T. Petäjä, I. Vouitsis, and R. S. Sokhi

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Cited articles

Atkinson, R. W., Fuller, G. W., Anderson, H. R., Harrison, R. M., and Armstrong, B.: Urban ambient particle metrics and health: a time series analysis, Epidemiology, 21, 501–511, 2010.
Beddows, D. C. S., Harrison, R. M., Green, D. C., and Fuller, G. W.: Receptor modelling of both particle composition and size distribution from a background site in London, UK, Atmos. Chem. Phys., 15, 10107–10125, https://doi.org/10.5194/acp-15-10107-2015, 2015.
Beelen, R., Voogt, M., Duyzer, J., Zandveld, P., and Hoek, G.: Comparison of the performances of land-use regression modelling and dispersion modelling in estimating small-scale variations in long-term air pollution concentrations in a Dutch urban area, Atmos. Environ., 44, 4614–4621, 2010.
Bualert, S.: Development and Application of an Advanced Gaussian Urban Air Quality Model, University of Hertfordshire, UK, 2002.
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Short summary
For analyzing the health effects of particulate matter, it is necessary to consider not only the mass of particles, but also their sizes and composition. A simple measure for the former is the number concentration of particles. We present particle number concentrations in five major European cities, namely Helsinki, Oslo, London, Rotterdam, and Athens, in 2008, based mainly on modelling. The concentrations of PN were mostly influenced by the emissions from local vehicular traffic.
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