A stationary three-dimensional Lagrangian stochastic numerical model has been 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 macromixing scheme is based on the "well-mixed" condition (Thomson, 1987). The micromixing IECM (Interaction by Exchange with the Conditional Mean; Pope, 1998; Sawford, 2006) scheme has been integrated to calculate the higher moments of concentration. The model has been tested by comparison with the MUST (Mock Urban Setting Test) wind tunnel experiment by Bezpalcova (2007) and Leitl et al. (2007), which corresponds to the atmospheric dispersion experiment by Yee and Biltoft (2004). In both these experiments the dispersion of a passive tracer in a 3D stationary flow field, in presence of obstacles, has been analysed. The mean and the variance of concentration, calculated by the numerical model presented here, show a reasonable agreement with the experimental results.
A stationary 3D lagrangian stochastic numerical model for concentration fluctuations / Andrea, Amicarelli; Leuzzi, Giovanni; Monti, Paolo; D. J., Thomson. - In: HRVATSKI METEOROLOSKI CASOPIS - CROATIAN METEOROLOGICAL JOURNAL. - ISSN 1330-0083. - STAMPA. - 43 PART 1:(2008), pp. 387-391.
A stationary 3D lagrangian stochastic numerical model for concentration fluctuations
LEUZZI, Giovanni;MONTI, Paolo;
2008
Abstract
A stationary three-dimensional Lagrangian stochastic numerical model has been 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 macromixing scheme is based on the "well-mixed" condition (Thomson, 1987). The micromixing IECM (Interaction by Exchange with the Conditional Mean; Pope, 1998; Sawford, 2006) scheme has been integrated to calculate the higher moments of concentration. The model has been tested by comparison with the MUST (Mock Urban Setting Test) wind tunnel experiment by Bezpalcova (2007) and Leitl et al. (2007), which corresponds to the atmospheric dispersion experiment by Yee and Biltoft (2004). In both these experiments the dispersion of a passive tracer in a 3D stationary flow field, in presence of obstacles, has been analysed. The mean and the variance of concentration, calculated by the numerical model presented here, show a reasonable agreement with the experimental results.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
