One of the most important parameters in plume dispersion modeling is the plume growth (dispersion coefficients σ ). Different models for estimating dispersion parameters are discussed to establish the relative importance of one over the others. Comparisons were made between power law functions, standard, split sigma and split sigma theta methods. We use the double Gaussian expression for calculating concentration in this comparison. The results show that, with low wind speed (<2 m/s), split sigma and split sigma theta methods give much better results than other methods, while, with wind speed greater than 2 m/s, the power law function methods give more plausible results.
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