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An extensive set of field data from Project Prairie Grass has been used to evaluate various methods of estimating the input parameters commonly used by analytical plume models for characterizing the vertical profiles for wind speed and eddy diffusivity. Estimation of the vertical eddy transfer coefficient using the Businger heat transfer parameters from similarity theory showed the closest agreement with experimental data measured in the near vicinity of the source (<1,000 m downwind). Using the optimal input parameter estimation techniques identified, the downwind and vertical concentration profiles predicted by four analytical models were quantitatively compared with the field data under a range of meteorological conditions. Near ground level in the downwind direction, under stable atmospheric conditions all four models generated similar predictions that agreed fairly well with the data. Under unstable conditions, significant differences in the predictions of the four models were seen, especially at greater distances downward.
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Lin et al. (1997) studied this question.
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