The Statistical Analysis On The Influencing Factors Of PM_2.5

In recent years, the air pollution problem is getting worse in our country, and theproblems caused by poor air quality has been paid more attention, in this context, PM2.5has become known as a common noun from a professional term discuss monitoring andthe control of PM2.5has become one of the important topics in today’s society.This paper is divided into five parts altogether. The first part introduces thebackground and significance of the study, and describes the hazards of PM2.5and researchstatus at home and abroad, introduces the econometric research and orthogonalexperimental design status, and provides an overview of research content and methodsused in this article. The second part of the paper explains the related knowledge used ineconometrics and orthogonal design, and analyzes the relevant theoretical basis of the textof the model. In the third section, firstly selects the relevant factors affecting the size ofthe PM2.5concentration, and then creates a mathematical model after analyzing thesefactors, and then searches the data and uses SAS software to fit, finally inspects theheteroscedasticity and sequence correlation to prove the availability of the correlationequation fitting. In the fourth part of the text, selects the three sets of data from three citiesas the level of each factor, and then select the orthogonal arrangement speaking test datageneration into each fitting equation to figure out PM2.5value, then determines the optimalcombination of factor level program by orthogonal intuitive design analysis, and then byusing orthogonal experimental design analysis of variance were significant factors in thediscussion, at last studies the final estimate of the effect of various factors at what levelcan PM2.5concentration reaches a minimum. The last part of the text, which is theconclusion that makes a summary of the whole research paper, and based on the resultsobtained gives some suggestions on how to reduce the concentration of PM2.5.