The Accuracy of Gaussian Plume Models and Sensitivity Study in Air Pollution Prediction

Abstract

The Gaussian Plume Model (GPM) is widely used to predict the concentration of pollutants in the atmosphere. There are significant simplifications with the GPM. The assumptions used to derive the GPM should be understood in order to predict the uncertainties associated with modeling results. In this work, a sensitivity study was performed by assuming reasonable degrees of error in some of the key variables used in the GPM and determining the end results. It was shown that minor changes in some of the key parameters of GPM can result in a propagated over-prediction factor up to 30. Also, in using the GPM, a range of values for the vertical dispersion coefficient should be considered in determining the maximum possible concentration at ground level.
 

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References

[1] Stern A.C., Air Pollution, Vol. 1, 3th Ed, Academic press,1976.
[2] Neoporozhny P.S., Thermal power plants and environmental control, Moscow, Mir Publishers., 1984.
[3] Kaasik M., International journal of environment and pollution, Vol. 20, No. 1-6, pp. 114-120, 2003.
[4] Walcek C.J., Accounting for wind shear in Gaussian dispersion models, 16th symposium on Boundary Layers and Turbulence., Port land, ME, United States, 2004.
[5] Ellis H.M., “Comparison of Predicted and Measured concentrations for 58 alternative models of Plume transport in complex terrain”, JAPCA, Vol. 30, No. 6, pp. 670-675,1980.
[6] Frits B.K., “Atmospheric dispersion modeling”, a critical review, JAPCA,1979.
[7] Karl B., Schnelle Jr. & Partha R.Dey, Atmospheric Dispersion Modeling Compliance Guide, McGraw–Hill, PP 6-23,1999.
[8] Sabah A., “Evaluation of the industrial source complex short –term model: Dispersion over Terrain”, AWMA, Vol. 54, pp. 396-408, 2004.
[9] Robins A.G. & Hayden P., “Dispersion from elevated sources above obstacle arrays: Modeling requirements”, International Journal of Environment and Pollution, Vol. 14, No. 1-6, pp. 186-197, 2000.
[10] Mehdizadeh F. & Rifai H., “Modeling Point Source Plumes at high altitudes using a modified Gaussian model”, Atmospheric Environment, Vol. 38, No. 6, pp. 821-831, 2004.
[11] Lutman E.R., Journal of Environmental Radioactivity, Vol. 75, pp. 339-355, 2004.
[12] Masters G.M, Introduction to Environmental Engineering and Science, Prentice Hall, 1991.
[13] Wellens A., “Comparison of the inherent data error in plume rise models”, International Journal of Environment and Pollution, Vol. 16, No. 1-6, pp. 274-284, 2001.
 
Journal of Petroleum Research
Volume 17, Issue 56.1 - Serial Number 56
September and October 2007
Pages 64-71

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