基于多元多项式回归的空气质量数据校准模型

Model for Calibration of Air Quality Data Based on Multivariate Polynomial Regression

针对2019年全国大学生数学建模竞赛D题“空气质量数据的校准”,首先对数据进行了描述性和探索性分析;然后分析了造成自建点数据与国控点数据之间存在差异的影响因素,并建立了基于多元多项式回归的空气质量数据校准模型;最后提出了进一步研究的方向。

In this paper,according to the problem D of 2019 CUMCM entitled“Calibration of air quality data”,descriptive analysis and exploratory analysis of data are made.Then the factors that influence the difference between self-built data and national control point data are analyzed.The calibration model of air quality data based on multinomial regression is established.Finally,the direction of further research is put forward.