Application of the modeling probability distribution functions for Lagrangian simulation of a passive tracer in the atmospheric boundary layer
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The numerical stochastic Lagrangian modeling of the passive tracer in a convective atmospheric boundary layer (CABL) was performed based on the random walk and Langevinmodels of turbulent dispersion. The statistical structure of turbulence is modeled by the probability density function (PDF) of vertical velocity fluctuations, which is recovered by the calculated statistical moments of the vertical velocity fluctuations. Four models of the PDF reconstruction were tested and the results of simulations are compared with the experimental data in CABL. The superiority of Langevin model over the random-walk models is demonstrated.
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- 1.Pasquill, F., Atmospheric Diffusion, 2nd ed., Hastled Press, New York, NY: Wiley, 1974.Google Scholar
- 2.Tennekes, H. and Lamley, J.L., A First Closure in Turbulence, Cambridge: MIT Press, 1972.Google Scholar
- 6.Han van Dop and Frans, T.M., Nieuwstadt, in Atmospheric Turbulence and Air Pollution Modeling, D. Reider Publishing, 1981, p. 358.Google Scholar
- 8.Ilyushin, B.B. and Kurbatskii, A.F., Modeling of Contaminant Dispersion in the Atmospheric Convective Boundary Layer, Izv. RAN, Fiz. Atmos. Ok., 1996, vol. 32, no. 3, p. 283.Google Scholar
- 9.Ilyushin, B.B., Use of the HigherMoments to Construct PDFs in Stratified Flows, in Closure Strategies for Turbulent and Transitional Flows, Launder, B.E. and Sandham, N.D., Eds., Cambridge University Press, 2001, pp. 683–699.Google Scholar
- 19.Ilyushin, B.B. and Kurbatskii, A.F., Modeling Triple Correlations in the Convective Atmospheric Boundary Layer, Izv. RAN, Fiz. Atmos. Ok., 1988, vol. 34, no. 5, p. 575.Google Scholar
- 20.Byzova, N.L., Ivanov, V.N., and Garger, E.K., Experimental Investigations of Atmospheric Diffusion and Pollution Dispersion Calculations, Gidrometeoizdat, 1991.Google Scholar