Atmosphere (Jul 2022)

High Resolution Modelling of Traffic Emissions Using the Large Eddy Simulation Code Fluidity

  • Huw Woodward,
  • Anna K. Schroeder,
  • Clemence M. A. Le Cornec,
  • Marc E. J. Stettler,
  • Helen ApSimon,
  • Alan Robins,
  • Christopher Pain,
  • Paul F. Linden

DOI
https://doi.org/10.3390/atmos13081203
Journal volume & issue
Vol. 13, no. 8
p. 1203

Abstract

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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.

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