A STATIONARY 3D LAGRANGIAN STOCHASTIC NUMERICAL MODEL FOR CONCENTRATION FLUCTUATIONS
Item
Title (Dublin Core)
eng
A STATIONARY 3D LAGRANGIAN STOCHASTIC NUMERICAL MODEL FOR CONCENTRATION FLUCTUATIONS
Description (Dublin Core)
eng
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.
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.
Creator (Dublin Core)
Amicarelli, Andrea
Leuzzi, Giovanni
Monti, Paolo
Thomson, David J.
Subject (Dublin Core)
eng
concentration fluctuations;micromixing;IECM;MUST
Publisher (Dublin Core)
Croatian meteorological society
Date (Dublin Core)
2008
Type (Dublin Core)
text
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Format (Dublin Core)
application/pdf
Identifier (Dublin Core)
https://hrcak.srce.hr/64276
eng
https://hrcak.srce.hr/file/96393
Source (Dublin Core)
Hrvatski meteorološki časopis
ISSN 1330-0083 (Print)
ISSN 1849-0700 (Online)
Volume 43
Issue 43/1
Language (Dublin Core)
eng
Rights (Dublin Core)
info:eu-repo/semantics/openAccess
The papers of this Journal are free of charge for personal or educational use, with respect of copyright of authors and publisher.