4.7 Article

Improved parameterisation for the numerical modelling of air pollution within an urban street canyon

期刊

ENVIRONMENTAL MODELLING & SOFTWARE
卷 24, 期 3, 页码 381-388

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ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2008.08.001

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Computational fluid dynamics; Model evaluation; Standard k-epsilon turbulence model; Urban street canyon; Wind tunnel data

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Numerical modelling for application to wind flow and dispersion in urban environments has noticeably progressed in recent years, to currently represent a widely used tool for Simulating mechanical processes governing air pollution ill complex geometries. In particular, Computational Fluid Dynamic (CFD) techniques based on RANS (Reynolds-Averaged Navier-Stokes equations) models, are extensively used to produce detailed Simulations Of the Wind flow and turbulence in the urban canopy. However, several studies have indicated that RANS models, and in particular the widely used standard k-epsilon turbulence model, are sensitive to the particular form of inlet profiles for turbulence and velocity. In the present study, simulations of the wind flow and dispersion within in idealised street canyon were carried out using the standard k-e turbulence model provided by the commercial software FLUENT. The aim of this study was to improve the standard k-epsilon model performance by modifying the model parameters according to the chosen form of inlet profiles for velocity and turbulence. Capability of the model to reproduce real wind flow fields, turbulence and concentration patterns was evaluated by comparing the model results against recently published wind tunnel data. Results for turbulent kinetic energy and concentration showed that the redefinition of the default dispersive parameters can significantly enhance the model performance. The newly proposed parimeterisations of the standard k-e turbulence model call be readily implemented within commercial CFD software packages, offering a reliable modelling tool for application to urban air pollution and other environmental Studies. (c) 2008 Elsevier Ltd. All rights reserved.

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