Turbulent velocity distributions and implied trajectory models |
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| Authors: | John D Wilson |
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| Institution: | (1) Department of Earth & Atmospheric Sciences, University of Alberta, Edmonton, Canada |
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| Abstract: | Well-mixed, first-order Lagrangian stochastic (LS) particle trajectory models are derived from several idealized (“toy”) turbulent
velocity distributions, and their performance is compared against the observations of Project Prairie Grass, i.e., the case
of a continuous point source of tracer near the ground, in the horizontally homogeneous and neutrally stratified surface layer.
Although in a context of limited information a Gaussian distribution is the preferred choice, and although the Gaussian corresponds
to the simplest of this set of LS models (namely, the Langevin equation), models stemming from other velocity distributions
give similar, albeit distinguishable, predictions. |
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| Keywords: | Dispersion models Lagrangian stochastic models Turbulent dispersion Velocity distribution functions Well-mixed condition |
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