基于大气环流的雾霾天气PM2.5污染能见度模型研究

Analysis of Visibility Model of PM2.5 Pollution Based on Atmospheric Circulation

分析了PM2.5与其他因子之间的相关性,构建回归方程,并利用逐步回归法,将回归方程中的不显著因子剔除掉,可以获得多元回归模型,将CO纳入到影响因子中,并将温度与污染气体相结合,根据最优回归方程可知,不同季节中污染气体对PM2.5有不同的影响,通过对最优回归方程的求解,建立PM2.5污染能见度模型并分析污染成因,最终实现了对雾霾天气PM2.5污染能见度模型的分析。所建的雾霾天气PM2.5污染能见度模型在实际工作中预测的误差率较低,并且污染能见度的预报结果与实测值的拟合度较高,验证了模型的有效性。

The correlation between PM 2.5 and other factors is analyzed, the regression equation is constructed, and the stepwise regression method is used to eliminate the insignificant factors in the regression equation, and multiple regression models can be obtained to incorporate CO into the influence. In the factor, the temperature is combined with the polluted gas. According to the optimal regression equation, the polluted gases have different effects on PM 2.5 in different seasons. By solving the optimal regression equation, the PM 2.5 pollution visibility model is established. Analysis of the causes of pollution, and finally the analysis of the visibility model of PM 2.5 pollution in haze weather. The research results show that the fogging weather PM 2.5 pollution visibility model constructed by this method has a lower error rate predicted in actual work, and the prediction result of pollution visibility is higher than the measured value, which verifies the validity of the model. Sex.