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Lagrangian Stochastic Dispersion Modelling for Varying Boundary Layer Stabilities

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Air Pollution Modeling and Its Application X

Part of the book series: NATO · Challenges of Modern Society ((NATS,volume 18))

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Abstract

In a given flow field the particle velocities are modelled as a Markov process, i.e., through the following stochastic differential equation

$${u_i} = {a_i}\left( {\operatorname{x} ,\operatorname{u} ,t} \right)dt + {b_{ij}}d{\xi _j},{\text{ }}d\operatorname{x} = \operatorname{u} \cdot dt$$
(1)

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References

  • Luhar, A.L. and Britter, R.E.: 1989, ‘A Random Walk Model for Dispersion in Inhomogeneous Turbulence in a Convective Boundary Layer’, Atmos. Environ., 23, 1911–1924.

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  • Mason, P.J.: 1992: ‘Large-Eddy Simulation of Dispersion in Convective Boundary Layers with Wind Shear’, Atmos.Env,iron 26A, 1561–1571.

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  • Tassone, C; Gryning, S.-E. and Rotach, M.W.: 1993, ‘A Random-walk Model for Atmospheric Dispersion in the Daytime Boundary Layer’, Proceedings of the 20th Int. Technical Meeting on Air Pollution Modelling and its Applications, Nov, 29 -Dec 3, Valencia, Spain.

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  • Thomson, D.J.: 1987: ‘Criteria for the Selection of Stochastic Models of Particle Trajectories in Turbulent Flows’, J. Fluid Mech., 180, 529–556.

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© 1994 Springer Science+Business Media New York

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Rotach, M., Gryning, SE., Tassone, C. (1994). Lagrangian Stochastic Dispersion Modelling for Varying Boundary Layer Stabilities. In: Gryning, SE., Millán, M.M. (eds) Air Pollution Modeling and Its Application X. NATO · Challenges of Modern Society, vol 18. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1817-4_70

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  • DOI: https://doi.org/10.1007/978-1-4615-1817-4_70

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5734-6

  • Online ISBN: 978-1-4615-1817-4

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