基于变风向高斯烟团混合模型的污染物扩散研究

对气态污染物连续泄漏扩散问题,利用时间分段处理和坐标转换的方法对高斯烟团模型进行了改进,使其能够计算点源连续泄漏和风向变化的情况。基于Python开发了模拟计算程序,模拟分析了风速和大气稳定度对污染物扩散的影响。结果表明：该模型实现了风况变化和连续泄漏扩散场景下,污染物扩散的浓度分布计算；各级危险区域的面积都随着扩散时间的增加先增大,而后趋于稳定,达到稳定所需时间以及稳定后危险区域的面积都随着风速的增加而降低,随着大气稳定度的变差而降低；在各风速以及各大气稳定度下,中度危险区面积都高于其他区域，应重点防护。

Investigation on Pollutant Diffusion Based on Gaussian Puff Mixture Model with Variable Wind Direction

In order to solve the problem of continuous leakage dispersion of gaseous pollutants, the Gaussian puff model was improved by using the method of time segmentation processing and coordinate transformation to enable it to calculate the continuous leakage and wind direction change of point sources. A simulation program based on Python was developed to calculate and analyze the effects of wind speed and atmospheric stability on pollutant diffusion. The results show that the model implements the calculation of the concentration distribution of pollutant diffusion under changing wind conditions and continuous leakage scenarios. The area of each level dangerous area increases with the increase of diffusion time, and then tends to stabilize. The time required to reach stability and the area of the hazardous area after stabilization decrease with the increase of wind speed, and decrease with the deterioration of atmospheric stability. In the case of each wind speed and each atmospheric stability, the area of the moderate dangerous area is higher than other areas, should be focused on protection.