一类基于SDIR模型的PM预测研究模型及应用

PM_(2.5)Prediction Research Model Based on SDIR Model and its Application

为治理PM_(2.5)污染问题,根据成都市2020年空气质量监测数据,采用相关性分析法与多元回归法,对PM_(2.5)的影响因素进行分析,得到PM_(2.5)与其他气态污染物之间的关系,发现PM_(2.5)与PM_(10)、CO、SO_(2)、NO_(2)呈显著正相关,建立SDIR模型,得出PM_(2.5)与温度随时间变化规律,为SDIR模型在环境领域中的应用提供参考。

In order to control PM_(2.5) pollution,according to the air quality monitoring data in 2020 in Chengdu City,the research adopts correlation analysis and multiple regression method,analyzes the influencing factors of PM_(2.5),gets the relationship between PM_(2.5) with other gaseous pollutants,finds out the significant positive correlation between PM_(2.5) with PM_(10),CO,SO_(2) and NO_(2),establishes SDIR model and gets the changing rule between PM_(2.5) and temperature with the time,in order to provide references for the application of SDIR model in the environment field.