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New analytical formulations for calculation of dispersion parameters of Gaussian model using parallel CFD

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Abstract

New analytical formulations are presented for calculation of most effective parameters in the Gaussian plume dispersion model; the standard deviations of concentration for horizontal and vertical dispersion in neutral atmosphere conditions. Employing parallel Computational Fluid Dynamics (CFD) as a powerful tool, some well-known analytical generations of Pasquill–Gifford–Turner experimental data are modified. To achieve this aim, CFD simulations are carried out for single stack dispersion on flat terrain surface and ground level concentrations are determined in different distances. An inverse procedure in Gaussian plume dispersion model is then applied and standard deviations of horizontal and vertical dispersions are obtained. The values are compared with those of the well-known methods of Doury, Briggs and Hanna in two cases: the experimental data for release of krypton-85 from 100 m high and pollution dispersion from three 28 m high stacks of Besat power plant near Tehran. The comparison indicates that new formulations for plume dispersion are more accurate than other well-known formulations.

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Abbreviations

CFD:

Computational Fluid Dynamics

RANS:

Reynolds Averaged Navier–Stokes

CALAUT:

Computational Aerodynamic Laboratory at Amirkabir University of Technology

C:

Convection

TD:

Turbulent diffusion

MD:

Molecular diffusion

SP:

Stress production

BP:

Buoyancy production

PS:

Pressure strain

DR:

Dissipation rate

RC:

Relative concentration

FB:

fractional bias

MG:

Mean geometric

NMSE:

Normalized mean square error

VG:

Geometric variance

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Authors and Affiliations

  1. Department of Aerospace Engineering, Center of Excellence in Computational Aerospace, Amirkabir University of Technology, 424 Hafez Avenue, Tehran, Iran

    M. Ebrahimi & A. Jahangirian

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  1. M. Ebrahimi
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  2. A. Jahangirian
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Correspondence to A. Jahangirian.

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Ebrahimi, M., Jahangirian, A. New analytical formulations for calculation of dispersion parameters of Gaussian model using parallel CFD. Environ Fluid Mech 13, 125–144 (2013). https://doi.org/10.1007/s10652-012-9260-5

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