A 3D Lagrangian micromixing dispersion model LAGFLUM and its validation with a wind tunnel experiment
作者： Giovanni Leuzzi , Andrea Amicarelli , Paolo Monti , David J. Thomson
DOI: 10.1016/J.ATMOSENV.2012.02.054
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摘要: Abstract A stochastic numerical model, LAGFLUM (LAGrangian FLUctuation Model), is developed to determine the mean and fluctuation statistics of scalar fields generated in 3D turbulent flows from continuous sources. The model couples a macromixing scheme with micromixing scheme. scheme, based on so called “well-mixed” criterion, utilized evaluate concentration, while IECM (Interaction by Exchange Conditional Mean) integrated calculate higher statistical moments concentration. tested comparison MUST (Mock Urban Setting Test) wind tunnel experiment, which laboratory counterpart original (real-atmosphere) experiment. In both these experiments dispersion passive tracer flow field, presence obstacles, measured. Using field reconstructed experimental measurements, ensemble mean, standard deviation, intensity fluctuations skewness concentration predicted are compared available measurements. results show generally good agreement between observations simulation, particular for deviation Predictions obtained replaced calculated using IEM also
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