Title: LAGFLUM, a stationary 3D Lagrangian stochastic numerical micromixing model for concentration fluctuations: validation in canopy turbulence, on the MUST wind tunnel experiment
Authors: Andrea Amicarelli; Giovanni Leuzzi; Paolo Monti; David J. Thomson
Addresses: DIPIA, ISPESL, National Institute for Occupational Safety, Health, Via Fontana Candida 1, 00040 Monteporzio Catone, Rome, Italy; LMFA UMR 5509 – C-Innov, Ecole Centrale de Lyon, 36 avenue Guy de Collongue, 69134, Ecully, France ' DITS, Università di Roma 'La Sapienza', Via Eudossiana 18, 00184 Roma, Italy ' DITS, Università di Roma 'La Sapienza', Via Eudossiana 18, 00184 Roma, Italy ' Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Abstract: 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.
International Journal of Environment and Pollution, 2011 Vol.47 No.1/2/3/4, pp.317 - 325
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 13 Jun 2012 *