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Lagrangian stochastic modelling of concentration fluctuations in atmospheric flows
Massimo Cassiani, Duke Univ., Durham, NC; and P. Franzese, J. D. Albertson, and A. Radicchi
A Lagrangian stochastic probability density function (PDF) model has been developed to predict the full PDF of concentration from single and multiple sources in the atmosphere. The model reproduces the effects of turbulent mixing and molecular diffusivity using Lagrangian stochastic techniques and micromixing models. The model is able to treat chemical reactions without closure assumptions. The model is evaluated with laboratory experiments of dispersion in various turbulent conditions.
Session 1, Advanced Modeling of Dispersion and Air Quality on All Scales: Part I
Monday, 30 January 2006, 9:00 AM-12:00 PM, A407
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