A numerical analysis of pollutant dispersion in street canyon: influence of the turbulent Schmidt number
Realizing the growing importance and availability of motor vehicles, we observe that the main source of pollution in the street canyons comes from the dispersion of automobile engine exhaust gas. It represents a substantial effect on the micro-climate conditions in urban areas. Seven idealized-2D bu...
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Format: | Article |
Language: | English |
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Warsaw University of Life Sciences
2017-12-01
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Series: | Przegląd Naukowy Inżynieria i Kształtowanie Środowiska |
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http://iks.pn.sggw.pl/PN78/A2/art2.pdf
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author | Bouabdellah Abed Lakhdar Bouarbi Mohamed-kamel Hamidou Mohamed Bouzit |
author_facet | Bouabdellah Abed Lakhdar Bouarbi Mohamed-kamel Hamidou Mohamed Bouzit |
author_sort | Bouabdellah Abed |
collection | DOAJ |
description | Realizing the growing importance and availability of motor vehicles, we observe that the main source of pollution in the street canyons comes from the dispersion of automobile engine exhaust gas. It represents a substantial effect on the micro-climate conditions in urban areas. Seven idealized-2D building configurations are investigated by numerical simulations. The turbulent Schmidt number is introduced in the pollutant transport equation in order the take into account the proportion between the rate of momentum turbulent transport and the mass turbulent transport by diffusion. In the present paper, we attempt to approach the experimental test results by adjusting the values of turbulent Schmidt number to its corresponding application. It was with interest that we established this link for achieving our objectives, since the numerical results agree well with the experimental ones. The CFD code ANSYS CFX, the k, e and the RNGk-e models of turbulence have been adopted for the resolutions. From the simulation results, the turbulent Schmidt number is a range of 0.1 to 1.3 that has some effect on the prediction of pollutant dispersion in the street canyons. In the case of a flat roof canyon configuration (case: runa000), appropriate turbulent Schmidt number of 0.6 is estimated using the k-epsilon model and of 0.5 using the RNG k-e model. |
first_indexed | 2024-12-13T10:58:38Z |
format | Article |
id | doaj.art-79edd0ac081c4be2b4d2a8b32c71b745 |
institution | Directory Open Access Journal |
issn | 1732-9353 2543-7496 |
language | English |
last_indexed | 2024-12-13T10:58:38Z |
publishDate | 2017-12-01 |
publisher | Warsaw University of Life Sciences |
record_format | Article |
series | Przegląd Naukowy Inżynieria i Kształtowanie Środowiska |
spelling | doaj.art-79edd0ac081c4be2b4d2a8b32c71b7452022-12-21T23:49:20ZengWarsaw University of Life SciencesPrzegląd Naukowy Inżynieria i Kształtowanie Środowiska1732-93532543-74962017-12-0126442343610.22630/PNIKS.2017.26.4.41A numerical analysis of pollutant dispersion in street canyon: influence of the turbulent Schmidt numberBouabdellah Abed0Lakhdar Bouarbi1Mohamed-kamel Hamidou2Mohamed Bouzit3 Laboratory of Applied Mechanics, Oran University of Science and Technology - Mohamed Boudiaf Laboratory of Applied Mechanics, Oran University of Science and Technology - Mohamed Boudiaf Laboratory of Applied Mechanics, Oran University of Science and Technology - Mohamed Boudiaf Laboratory of Applied Mechanics, Oran University of Science and Technology - Mohamed Boudiaf Realizing the growing importance and availability of motor vehicles, we observe that the main source of pollution in the street canyons comes from the dispersion of automobile engine exhaust gas. It represents a substantial effect on the micro-climate conditions in urban areas. Seven idealized-2D building configurations are investigated by numerical simulations. The turbulent Schmidt number is introduced in the pollutant transport equation in order the take into account the proportion between the rate of momentum turbulent transport and the mass turbulent transport by diffusion. In the present paper, we attempt to approach the experimental test results by adjusting the values of turbulent Schmidt number to its corresponding application. It was with interest that we established this link for achieving our objectives, since the numerical results agree well with the experimental ones. The CFD code ANSYS CFX, the k, e and the RNGk-e models of turbulence have been adopted for the resolutions. From the simulation results, the turbulent Schmidt number is a range of 0.1 to 1.3 that has some effect on the prediction of pollutant dispersion in the street canyons. In the case of a flat roof canyon configuration (case: runa000), appropriate turbulent Schmidt number of 0.6 is estimated using the k-epsilon model and of 0.5 using the RNG k-e model. http://iks.pn.sggw.pl/PN78/A2/art2.pdf pollutant dispersionurban street canyonsbuild configurationsCFD simulationturbulent Schmidt number |
spellingShingle | Bouabdellah Abed Lakhdar Bouarbi Mohamed-kamel Hamidou Mohamed Bouzit A numerical analysis of pollutant dispersion in street canyon: influence of the turbulent Schmidt number Przegląd Naukowy Inżynieria i Kształtowanie Środowiska pollutant dispersion urban street canyons build configurations CFD simulation turbulent Schmidt number |
title | A numerical analysis of pollutant dispersion in street canyon: influence of the turbulent Schmidt number |
title_full | A numerical analysis of pollutant dispersion in street canyon: influence of the turbulent Schmidt number |
title_fullStr | A numerical analysis of pollutant dispersion in street canyon: influence of the turbulent Schmidt number |
title_full_unstemmed | A numerical analysis of pollutant dispersion in street canyon: influence of the turbulent Schmidt number |
title_short | A numerical analysis of pollutant dispersion in street canyon: influence of the turbulent Schmidt number |
title_sort | numerical analysis of pollutant dispersion in street canyon influence of the turbulent schmidt number |
topic | pollutant dispersion urban street canyons build configurations CFD simulation turbulent Schmidt number |
url |
http://iks.pn.sggw.pl/PN78/A2/art2.pdf
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