The stationary three-dimensional Lagrangian stochastic model LAGFLUM has been coupled with MISKAM to simulate numerically the higher statistical moments of concentration for a passive scalar in the 3D turbulent flow corresponding to MUST wind tunnel experiment. LAGFLUM is based on the coupling of a macromixing scheme founded on the well-mixed condition, while the micromixing scheme utilizes the IECM. The LAGFLUM input data have been obtained by using the output of the MISKAM model applied to the MUST experiment. The results show a reasonable agreement between simulated and measured statistical moments of concentration.
Street canyon concentration estimation coupling the RANS model MISKAM and the micromixing Lagrangian model LAGFLUM / Leuzzi, Giovanni; M., Balczo; A., Amicarelli; Monti, Paolo; J., Eichorn; D. J., Thomson. - STAMPA. - (2010), pp. 821-825. (Intervento presentato al convegno 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2010 tenutosi a Paris; France nel 1-4 Giugno 2010).
Street canyon concentration estimation coupling the RANS model MISKAM and the micromixing Lagrangian model LAGFLUM
LEUZZI, Giovanni;MONTI, Paolo;
2010
Abstract
The stationary three-dimensional Lagrangian stochastic model LAGFLUM has been coupled with MISKAM to simulate numerically the higher statistical moments of concentration for a passive scalar in the 3D turbulent flow corresponding to MUST wind tunnel experiment. LAGFLUM is based on the coupling of a macromixing scheme founded on the well-mixed condition, while the micromixing scheme utilizes the IECM. The LAGFLUM input data have been obtained by using the output of the MISKAM model applied to the MUST experiment. The results show a reasonable agreement between simulated and measured statistical moments of concentration.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
