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

摘要

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.