Analysis of Beijing PM2.5 Concentration Effect Factors Based on Generalized Additive Models

晓童 李
2016 Hans Journal of Data Mining  
In recent years, air pollution in Beijing is increasingly serious; PM2.5 has caused widespread concern in the community. There are obvious limitations about influencing factors' type and model selection in current studies on the influence factors of PM2.5 concentration in Beijing. Based on the above two points, this paper conducted a generalized additive model which regarded PM2.5 concentration as response variable and influence factors as predictor variable, and the results showed that: the
more » ... showed that: the factors influencing PM2.5 concentration include NO 2 concentration, wind speed, temperature, month, CO concentration, O 3 concentration and humidity. This paper also conducted a linear regression model in order to make contrast, and the results showed that the goodness of fit of the additive model is much better than the linear model. Keywords PM2.5 Concentration, Generalized Additive Model, Linear Regression Model 基于广义加性模型的北京市PM2.5浓度影响 因素分析 李晓童 * ,张 默 中国石油大学(北京)理学院,北京 Open Access * 通讯作者。
doi:10.12677/hjdm.2016.64019 fatcat:riqtcir23zhhfpxrlhff4lqtce