Comparative study of Gaussian dispersion formulas within the polyphemus platform: Evaluation with Prairie Grass and Kincaid experiments

Abstract

This paper details a number of existing formulations used in Gaussian models in a clear and usable way, and provides a comparison within a single framework-the Gaussian plume and puff models of the air quality modeling system Polyphemus. The emphasis is made on the comparison between 1) the parame- terizations to compute the standard deviations and 2) the plume rise schemes. The Gaussian formulas are first described and theoretically compared. Their evaluation is then ensured by comparison with the observations as well as with several well-known Gaussian and computational fluid dynamics model performances. The model results compare well to the other Gaussian models for two of the three parame-terizations for standard deviations, Briggs's and similarity theory, while Doury's shows a tendency to underestimate the concentrations because of a large horizontal spread. The results with the Kincaid experiment point out the sensitivity to the plume rise scheme and the importance of an accurate modeling of the plume interactions with the inversion layer. Using three parameterizations for the standard deviations and the same number of plume rise schemes, the authors were able to highlight a large variability in the model outputs. © 2009 American Meteorological Society.