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- Author or Editor: Maynard E. Smith x
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Abstract
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Abstract
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An American Meteorological Society committee, working cooperatively with the U.S. Environmental Protection Agency (EPA), has sponsored a peer review and evaluation of 10 rural diffusion models that are now used in regulatory procedures or have been submitted to EPA for such use. 2 This review revealed that none of the models can be considered up-to-date scientifically, and that there is no basis for choice among them in terms of predictive accuracy. Regardless of the scientific merit of any model, significant inaccuracy in the predictions would arise from the inherent uncertainty in the diffusion process and from inadequacies of the input data.
An American Meteorological Society committee, working cooperatively with the U.S. Environmental Protection Agency (EPA), has sponsored a peer review and evaluation of 10 rural diffusion models that are now used in regulatory procedures or have been submitted to EPA for such use. 2 This review revealed that none of the models can be considered up-to-date scientifically, and that there is no basis for choice among them in terms of predictive accuracy. Regardless of the scientific merit of any model, significant inaccuracy in the predictions would arise from the inherent uncertainty in the diffusion process and from inadequacies of the input data.
Abstract
The meteorological features of a refined air pollution evaluation technique are described. Time and space variations of wind speed, dispersion parameters and capping inversions are permitted, and it is believed that the estimates of dispersion at large distances from the source are more realistic than those obtained with simple models.
Abstract
The meteorological features of a refined air pollution evaluation technique are described. Time and space variations of wind speed, dispersion parameters and capping inversions are permitted, and it is believed that the estimates of dispersion at large distances from the source are more realistic than those obtained with simple models.
Abstract
Two years of data have been processed to show relationships between wind gustiness and other meteorological parameters. The gustiness classification used at Brookhaven National Laboratory is defined by the range and appearance of the horizontal wind direction trace. The seasonal and diurnal variations are presented. Gustiness is closely related to lapse rate and solar radiation, while its association with wind speed and Sutton's index of turbulence is not as distinct.
Abstract
Two years of data have been processed to show relationships between wind gustiness and other meteorological parameters. The gustiness classification used at Brookhaven National Laboratory is defined by the range and appearance of the horizontal wind direction trace. The seasonal and diurnal variations are presented. Gustiness is closely related to lapse rate and solar radiation, while its association with wind speed and Sutton's index of turbulence is not as distinct.
