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KMID : 1024520030120030265
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Journal of the Environmental Sciences
2003 Volume.12 No. 3 p.265 ~ p.274
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A study on the Assessment of the Predictability of the APSM
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Park Ki-Hark
Yoon Soon-Chang
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Abstract
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The Pasquill-Gifford stability category is a very important scheme of the Gaussian type dispersion model defined the complex turbulence state of the atmosphere by A grade(very unstable) to F grade(very stable). But there has been made a point out that this stability category might decrease the predictability of the model because it was each covers a broad range of stability conditions, and that they were very site specific. The APSM (Air Pollution Simulation Model) was composed of the turbulent parameters, i.e. friction velocity(*/), convective velocity scale(*/) and Monin-Obukhov length scale(Ｌ) for the purpose of the performance increasing on the case of the unstable atmospheric conditions. And the PDF (Probability Density Function)model was used to express the vertical dispersion characteristics and the profile method was used to calculate the turbulent characteristics. And the performance assessment was validated between APSM and EPA regulatory models(TEM, ISCST), tracer experiment results. There were very good performance results simulated by APSM than that of TEM, ISCST in the short distance (<1415 m) from the source, but increase the simulation error(%) to stand off the source in others. And there were differences in comparison with the lateral dispersion coefficient(y/) which was represent the horizontal dispersion characteristics of a air pollutant in the atmosphere. So the different calculation method of y/ which was extrapolated from a different tracer experiment data might decrease the simulation performance capability. In conclusion, the air pollution simulation model showed a good capability of predict the air pollution which was composed of the turbulent parameters compared with the results of TEM and ISCST for the unstable atmospheric conditions.
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KEYWORD
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Pasquill-Gifford stability categories, Monin-Obukhov length scale, Dispersion Coefficient, Probability density function model
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