Inderscience Publishers

LAGFLUM, a stationary 3D Lagrangian stochastic numerical micromixing model for concentration fluctuations: validation in canopy turbulence, on the MUST wind tunnel experiment

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A stationary three–dimensional Lagrangian stochastic numerical model, LAGrangian FLUctuation Model (LAGFLUM), was developed by coupling a macromixing with a micromixing scheme, to determine the mean and the variance of concentration for a passive scalar in 3D turbulent flows. The model was tested by comparison with the (MUST) Mock Urban Setting Test wind tunnel experiment, where the dispersion of a passive tracer in a 3D stationary flow field, in the presence of obstacles, was analysed. The means and the standard deviations of concentration reproduced by LAGFLUM were compared with the available measurements. The results show a good performance of the model.

Keywords: pollutant dispersion, concentration fluctuations, micromixing, IECM, canopy turbulence, microscale dispersion, MUST, macromixing, Lagrangian models, environmental pollution, air pollution, air quality, dipersion modelling, wind tunnels

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