The diffusion parameters which have been most widely used hitherto in making practical estimates of the distribution of ground-level concentration are those developed by Sutton, Pasquill and Turner. However, for predicting absolute values of concentration so as to be agreeable with the observed concentration over a wide range of meteorological conditions, those parameters are notalways satisfactory, mainly due to difficulties in evaluating reliably each value of parameters according to respective meteorological conditions.
In this report, instead of selecting appropriate values of parameters which weretabulated by meteorological properties of the atmosphere, the optimum values of parameters could bedetermined by a mathematical method so that the estimated concentration might closely agree withthe observed concentration. It was also found that in determining the optimum values of parameters, the gradient method was very useful. The estimated optimum values of parameters were applied to the diffusion formulae of the so-called plume model and the distribution of ground-level concentration was practically evaluated in the urban area where many small continuous sources caused low level air pollution.
The principal component analysis was also performed among the meteorological factors available and further it was tried to carry out the multiple regression analysis the to discuss the correlation between from first to forth principal components of meterological factors and the estimated optimum parameters. As a result, it was confirmed that the coefficient of correlation was 0.8 in case where the wind direction observed at a given point well represented thore of neighboring area.
Even though the correlation did not exist between the available meteorological factors and the estimated optimum parameters, in predicting the distribution of ground-level concentrationwith optimum values of parameters, colose agreement could be obtained between the observed concentration and the estimated concentration. Thus, in any cose, the optimum values of parameters which could be determined by the gradient method was available to a sufficient accuracy for making practical estimates of the distribution of ground-level concentration and also it was proved that this gradient method migh be applied to a variety of other practical uses in the atmospheric dispersion computation.
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