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Reconciling Gaussian plume and Computational Fluid Dynamics models of particulate dispersion

Joseph, G. M. D.; Hargreaves, D.M.; Lowndes, I. S.

Authors

G. M. D. Joseph

IAN LOWNDES ian.lowndes@nottingham.ac.uk
Associate Professor and Reader in Environmental Engineering



Abstract

Computational Fluid Dynamics (CFD) is increasingly used to model particulate dispersion in situations where Gaussian Dispersion models are inappropriate or inaccurate. However, there is evidence which indicates that many CFD models under-predict lateral plume spread. This paper aims to address this by imple- menting a strategy which incorporates wind direction variability into CFD models using a formulation which is also used in the UK-ADMS plume spread module. In the present work, a series of CFD simulations are run at various wind angles. The outputs from these simulations are weighted using a Gaussian probability density function and combined to produce a plume. The standard k−ε model has been employed to solve the RANS equations of the flow field for stable, neutral and unstable atmospheric stabilities, coupled with the Lagrangian Particle tracking model to model dispersion. By comparing the CFD accretion profiles to UK-ADMS dry deposition results, it is observed that the proposed modelling methodology produces lateral spreading of the plume which is comparable to that obtained using UK-ADMS. However, the Lagrangian integral time scale constant, c L , which governs the influence turbulence has on the dispersion, must also be modified to bring absolute values of accretion rates in line with those observed in UK-ADMS.

Citation

Joseph, G., Lowndes, I., Joseph, G. M. D., Hargreaves, D., & Lowndes, I. S. (2020). Reconciling Gaussian plume and Computational Fluid Dynamics models of particulate dispersion. Atmospheric Environment: X, 5, https://doi.org/10.1016/j.aeaoa.2020.100064

Journal Article Type Article
Acceptance Date Jan 18, 2020
Online Publication Date Feb 6, 2020
Publication Date 2020-01
Deposit Date Jan 22, 2020
Publicly Available Date Feb 19, 2020
Journal Atmospheric Environment: X
Print ISSN 2590-1621
Electronic ISSN 1352-2310
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 5
Article Number 100064
DOI https://doi.org/10.1016/j.aeaoa.2020.100064
Keywords dispersion; CFD; Gaussian Plume; particulates
Public URL https://nottingham-repository.worktribe.com/output/3780724
Publisher URL https://www.sciencedirect.com/science/article/pii/S2590162120300034
Additional Information This article is maintained by: Elsevier; Article Title: Reconciling Gaussian plume and Computational Fluid Dynamics models of particulate dispersion; Journal Title: Atmospheric Environment: X; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.aeaoa.2020.100064; Content Type: article; Copyright: © 2020 Published by Elsevier Ltd.

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