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A STATIONARY 3D LAGRANGIAN STOCHASTIC NUMERICAL MODEL FOR CONCENTRATION FLUCTUATIONS

Andrea Amicarelli ; DITS, Università di Roma “Sapienza”, Via Eudossiana 18, 00184 Roma, Italy, DIPIA, ISPESL (National Institute for Occupational Safety and Health), Via Fontana Candida 1, 00040 Monte Porzio Catone, Roma, Italy
Giovanni Leuzzi ; DITS, Università di Roma “Sapienza”, Via Eudossiana 18, 00184 Roma, Italy
Paolo Monti ; DITS, Università di Roma “Sapienza”, Via Eudossiana 18, 00184 Roma, Italy
David J. Thomson ; Met Office, FitzRoy Road, Exeter, EX1 3PB, UK


Puni tekst: engleski pdf 1.720 Kb

str. 387-391

preuzimanja: 382

citiraj


Sažetak

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.

Ključne riječi

concentration fluctuations; micromixing; IECM; MUST

Hrčak ID:

64276

URI

https://hrcak.srce.hr/64276

Datum izdavanja:

12.12.2008.

Posjeta: 770 *