空气质量数据的校准研究

Thestudy of Air Quality Data Calibration

针对2019年全国大学生数学建模竞赛D题,文章主要对空气质量检测仪监测所得数据进行了误差分析,在此基础上,对国控点近邻的自建点数据进行了数据校准.为了认识自建点数据误差来源,文章对照国控点"两尘四气"的监测数据,围绕可能造成误差的诸多气候因素,进行了误差因素分析,建立起多元线性回归模型,为自建点"两尘四气"数据误差找到了相应影响因素,并给出了合理的校准模型方案.

To solve the problem D in the National College Mathematical Modeling Competition of 2019,this paper mainly makes an error analysis of air quality data which is collected by BRJ-R,and then makes a calibration to the self-built point data which is near the state controlling air sampling sites.We also have analyzed the main weather factors which caused the monitoring errors by multiple linear regression analysis.At last,a more reasonable calibration model was established.