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High resolution modelling of traffic emissions using the large eddy simulation code Fluidity
File(s)
atmosphere-13-01203.pdf (4.71 MB)
Published version
Author(s)
Woodward, Huw
Schroeder, Anna
Le Cornec, Clemence
Stettler, Marc
ApSimon, Helen
Type
Journal Article
Abstract
The large eddy simulation (LES) code Fluidity was used to simulate the dispersion of NOx traffic emissions along a road in London. The traffic emissions were represented by moving volume sources, one for each vehicle, with time-varying emission rates. Traffic modelling software was used to generate the vehicle movement, while an instantaneous emissions model was used to calculate the NOx emissions at 1 s intervals. The traffic emissions were also modelled as a constant volume source along the length of the road for comparison. A validation of Fluidity against wind tunnel measurements is presented before a qualitative comparison of the LES concentrations with measured roadside concentrations. Fluidity showed an acceptable comparison with the wind tunnel data for velocities and turbulence intensities. The in-canyon tracer concentrations were found to be significantly different between the wind tunnel and Fluidity. This difference was explained by the very high sensitivity of the in-canyon tracer concentrations to the precise release location. Despite this, the comparison showed that Fluidity was able to provide a realistic representation of roadside concentration variations at high temporal resolution, which is not achieved when traffic emissions are modelled as a constant volume source or by Gaussian plume models.
Date Issued
2022-07-30
Date Acceptance
2022-07-27
Citation
Atmosphere, 2022, 13 (8)
URI
DOI
ISSN
2073-4433
Publisher
MDPI AG
Journal / Book Title
Atmosphere
Volume
13
Issue
8
Copyright Statement
© 2022 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
License URL
Sponsor
Engineering & Physical Science Research Council (E
Grant Number
RG80519
Subjects
0401 Atmospheric Sciences
0502 Environmental Science and Management
Publication Status
Published
Article Number
ARTN 1203