APLICATION OF THE GAUSSIAN MODEL IN RESEARCH SPREADING AIR POLLUTION

Xindi Huang
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Abstract

The article deals with the application of the Gaussian distribution for calculating the concen-tration of pollutants. When using the principle of superposition, we have the opportunity to obtain models for calculating the concentration of impurities from a point source of continuous action, in-stantaneous areal and instantaneous volumetric sources. The obtained standard deviations make it possible to assess the effect of air turbulence on the dispersion of pollutants. The first Gaussian model allows one to obtain a diffusion model of a local small-scale space and make predictions, then, based on the Gaussian model of the study, a modified model is obtained for other reliefs and weather conditions. Therefore, the modeling accuracy and applicable conditions are difficult to cope with the needs of large-scale complex meteorological conditions of air quality models.
高斯模型在大气污染扩散研究中的应用
本文讨论了高斯分布在计算污染物浓度中的应用。当使用叠加原理时,我们有机会获得从连续作用的点源、瞬时面积源和瞬时体积源计算杂质浓度的模型。得到的标准偏差使评估空气湍流对污染物扩散的影响成为可能。第一个高斯模型可以得到局部小尺度空间的扩散模型并进行预测,然后在本研究的高斯模型的基础上,得到其他地形和天气条件的修正模型。因此,建模精度和适用条件难以满足大尺度复杂气象条件下空气质量模型的需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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