Dispersion of traffic exhausts emitted from a stationary line source versus individual moving cars – a numerical comparison

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Gross, Günter: Dispersion of traffic exhausts emitted from a stationary line source versus individual moving cars – a numerical comparison. In: Meteorologische Zeitschrift 25 (2016), Nr. 4, S. 479-487. DOI: http://dx.doi.org/10.1127/metz/2016/0797

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Sum total of downloads: 315

A three-dimensional microscale model was used to study the effects of moving vehicles on air pollution in the close vicinity of a road. The numerical results are compared to general findings from wind tunnel experiments and field observations. It was found that the model is suitable to capture the main flow characteristics within an urban street canyon, in particular the modifications relating to running traffic. A comparison of the results for a stationary line source approach and for multiple single moving sources demonstrates significant differences. For a street in a flat terrain, the near-road concentrations are underestimated by up to a factor of two if the emissions are approximated by a stationary line source. This underestimation decreases with increasing distance, and becomes negligible 30–50 m away from the road. For an urban canyon situation, the line source assumption is a conservative approximation for the concentrations at the leeside of the street, while on the opposite pavement and wall, a systematic underestimation was found. Also, the effects of different traffic situations have been studied and discussed.
License of this version: CC BY-NC 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2016
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 194 61.59%
2 image of flag of United States United States 39 12.38%
3 image of flag of China China 22 6.98%
4 image of flag of United Kingdom United Kingdom 9 2.86%
5 image of flag of France France 7 2.22%
6 image of flag of Czech Republic Czech Republic 6 1.90%
7 image of flag of Australia Australia 6 1.90%
8 image of flag of Russian Federation Russian Federation 5 1.59%
9 image of flag of Malaysia Malaysia 4 1.27%
10 image of flag of Philippines Philippines 3 0.95%
    other countries 20 6.35%

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