本文提出了空气质量指数的多元回归分析模型。将AQI作为响应变量,各监测指标作为预测变量,建立了多元回归分析模型,分析了影响空气质量的一氧化碳、固体污染物(PM)等因素。该模型对空气质量指数的分析与计算较简单、结果较直观、可解释性更强,有利于空气质量数据的分析、评价以及预测。最后,以青岛市空气质量的实际数据为例,展现了本模型的具体分析与计算过程,分析得出了相应的结果。

The multiple regression model is propoesd for air quality index(AQI)in this paper.A multivariate regression model is established by taking AQI as the response variable and each monitoring index as the predictor.Some factors are analyzed for CO,PM,et.which affect air quality.The method is more simple for analysis and calculation of AQI,the result is more intuitive and more interpretable,the model is beneficial to the analysis,evaluation and prediction of AQI.Finally,the procedure of specifict analysis and calculation is presented by analyzing the real AQI data of Qingdao in the model,therefore some corresponding results are obtained.