Ventilation and air quality in city blocks using large-eddy simulation-urban planning perspective

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Kurppa, M.; Hellsten, A.; Auvinen, M.; Raasch, S.; Vesala, T. et al.: Ventilation and air quality in city blocks using large-eddy simulation-urban planning perspective. In: Atmosphere 9 (2018), Nr. 2, 65. DOI: https://doi.org/10.3390/atmos9020065

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/3400

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Sum total of downloads: 713




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Abstract: 
Buildings and vegetation alter the wind and pollutant transport in urban environments. This comparative study investigates the role of orientation and shape of perimeter blocks on the dispersion and ventilation of traffic-related air pollutants, and the street-level concentrations along a planned city boulevard. A large-eddy simulation (LES) model PALM is employed over a highly detailed representation of the urban domain including street trees and forested areas. Air pollutants are represented by massless and passive particles (non-reactive gases), which are released with traffic-related emission rates. High-resolution simulations for four different city-block-structures are conducted over a 8.2 km2 domain under two contrasting inflow conditions with neutral and stable atmospheric stratification corresponding the general and wintry meteorological conditions. Variation in building height together with multiple cross streets along the boulevard improves ventilation, resulting in 7-9% lower mean concentrations at pedestrian level. The impact of smaller scale variability in building shape was negligible. Street trees further complicate the flow and dispersion. Notwithstanding the surface roughness, atmospheric stability controls the concentration levels with higher values under stably stratified inflow. Little traffic emissions are transported to courtyards. The results provide urban planners direct information to reduce air pollution by proper structural layout of perimeter blocks. © 2018 by the authors.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Mathematik und Physik

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 614 86.12%
2 image of flag of United States United States 37 5.19%
3 image of flag of China China 16 2.24%
4 image of flag of United Kingdom United Kingdom 5 0.70%
5 image of flag of No geo information available No geo information available 4 0.56%
6 image of flag of Netherlands Netherlands 3 0.42%
7 image of flag of Italy Italy 3 0.42%
8 image of flag of India India 2 0.28%
9 image of flag of Colombia Colombia 2 0.28%
10 image of flag of Belgium Belgium 2 0.28%
    other countries 25 3.51%

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