Imperial College London
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ProfessorChristopherPain

Faculty of Engineering, Department of Earth Science & Engineering

Professorial Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 9322c.pain

 
 
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Location

 

4.96Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Woodward:2022:10.3390/atmos13081203,
author = {Woodward, H and Schroeder, A and Le, Cornec C and Stettler, M and ApSimon, H and Robins, A and Pain, C and Linden, P},
doi = {10.3390/atmos13081203},
journal = {Atmosphere},
title = {High resolution modelling of traffic emissions using the large eddy simulation code Fluidity},
url = {http://dx.doi.org/10.3390/atmos13081203},
volume = {13},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Woodward,H
AU  - Schroeder,A
AU  - Le,Cornec C
AU  - Stettler,M
AU  - ApSimon,H
AU  - Robins,A
AU  - Pain,C
AU  - Linden,P
DO  - 10.3390/atmos13081203
PY  - 2022///
SN  - 2073-4433
TI  - High resolution modelling of traffic emissions using the large eddy simulation code Fluidity
T2  - Atmosphere
UR  - http://dx.doi.org/10.3390/atmos13081203
UR  - http://hdl.handle.net/10044/1/98560
VL  - 13
ER  -
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