Microscale Obstacle Resolving Air Quality Model Evaluation with the Michelstadt Case

Microscale Obstacle Resolving Air Quality Model Evaluation with the Michelstadt Case

Modelling pollutant dispersion in cities is challenging for air quality models as the urban obstacles have an important effect on the flow field and thus the dispersion. Computational Fluid Dynamics (CFD) models with an additional scalar dispersion transport equation are a possible way to resolve th...

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Main Authors: Anikó Rakai, Gergely Kristóf
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/781748
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spelling doaj-8a9e2676ac9e4417aa3e17086563da072020-11-25T02:30:48ZengHindawi LimitedThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/781748781748Microscale Obstacle Resolving Air Quality Model Evaluation with the Michelstadt CaseAnikó Rakai0Gergely Kristóf1Department of Fluid Mechanics, Budapest University of Technology and Economics, Budapest 1111, HungaryDepartment of Fluid Mechanics, Budapest University of Technology and Economics, Budapest 1111, HungaryModelling pollutant dispersion in cities is challenging for air quality models as the urban obstacles have an important effect on the flow field and thus the dispersion. Computational Fluid Dynamics (CFD) models with an additional scalar dispersion transport equation are a possible way to resolve the flowfield in the urban canopy and model dispersion taking into consideration the effect of the buildings explicitly. These models need detailed evaluation with the method of verification and validation to gain confidence in their reliability and use them as a regulatory purpose tool in complex urban geometries. This paper shows the performance of an open source general purpose CFD code, OpenFOAM for a complex urban geometry, Michelstadt, which has both flow field and dispersion measurement data. Continuous release dispersion results are discussed to show the strengths and weaknesses of the modelling approach, focusing on the value of the turbulent Schmidt number, which was found to give best statistical metric results with a value of 0.7.http://dx.doi.org/10.1155/2013/781748
collection DOAJ
language English
format Article
sources DOAJ
author Anikó Rakai
Gergely Kristóf
spellingShingle Anikó Rakai
Gergely Kristóf
Microscale Obstacle Resolving Air Quality Model Evaluation with the Michelstadt Case
The Scientific World Journal
author_facet Anikó Rakai
Gergely Kristóf
author_sort Anikó Rakai
title Microscale Obstacle Resolving Air Quality Model Evaluation with the Michelstadt Case
title_short Microscale Obstacle Resolving Air Quality Model Evaluation with the Michelstadt Case
title_full Microscale Obstacle Resolving Air Quality Model Evaluation with the Michelstadt Case
title_fullStr Microscale Obstacle Resolving Air Quality Model Evaluation with the Michelstadt Case
title_full_unstemmed Microscale Obstacle Resolving Air Quality Model Evaluation with the Michelstadt Case
title_sort microscale obstacle resolving air quality model evaluation with the michelstadt case
publisher Hindawi Limited
series The Scientific World Journal
issn 1537-744X
publishDate 2013-01-01
description Modelling pollutant dispersion in cities is challenging for air quality models as the urban obstacles have an important effect on the flow field and thus the dispersion. Computational Fluid Dynamics (CFD) models with an additional scalar dispersion transport equation are a possible way to resolve the flowfield in the urban canopy and model dispersion taking into consideration the effect of the buildings explicitly. These models need detailed evaluation with the method of verification and validation to gain confidence in their reliability and use them as a regulatory purpose tool in complex urban geometries. This paper shows the performance of an open source general purpose CFD code, OpenFOAM for a complex urban geometry, Michelstadt, which has both flow field and dispersion measurement data. Continuous release dispersion results are discussed to show the strengths and weaknesses of the modelling approach, focusing on the value of the turbulent Schmidt number, which was found to give best statistical metric results with a value of 0.7.
url http://dx.doi.org/10.1155/2013/781748
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AT gergelykristof microscaleobstacleresolvingairqualitymodelevaluationwiththemichelstadtcase
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