Author(s)

WenHui Zeng

Affiliation(s)

School of Mathematics and Statistics, Guangxi Normal University, Guilin 541006, Guangxi, China. 

Corresponding Author

WenHui Zeng

ABSTRACT

With the continuous advancement of modernization, the problem of air quality is becoming more and more serious. In this paper, LASSO regression analysis is used to screen out some variables that have little impact on the research object, so as to construct the variable system of the research question. Then the multivariate linear regression analysis is carried out according to the variable system. Finally, the main pollutants affecting the air quality of Changsha City are analyzed, which can effectively predict the air quality of Changsha City and take corresponding measures to improve the air quality. 

KEYWORDS

LASSO regression; Multiple linear regression; Air quality; Influence factor

CITE THIS PAPER

WenHui Zeng. Analysis and prediction of air quality influence factors in Changsha city. Trends in Social Sciences and Humanities Research. 2024, 2(4): 14-17. DOI: 10.61784/tsshr3004.

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