摘要：This paper studies the influence of the interaction of two factors on the important air quality monitoring index PM2.5. Specifically, the GAM model based on the interaction of air pressure and temperature and the PM2.5 value is used to obtain the nonlinear relationship between air pressure, temperature and PM2.5. The GAM model has a high degree of fit, that is, the interaction of air pressure and temperature has a greater impact on the PM2.5 value. Therefore, the interaction between pressure and temperature can be used to predict the response variable PM2.5 accurately.
