Research of Light Pollution Levels Based on Principal Component Analysis and Topsis

Abstract

With the development of society, a large amount of light has a bad impact on people’s lives. The assessment and governance of light pollution levels also brought difficulties to government management in various regions. An evaluation model of light pollution level under the influence of main factors is constructed based on EWM-TOPSIS scoring method, combined with the advantages of principal component analysis in dealing with complex factors. This paper divides the cities into four areas based on hierarchical cluster analysis according to population density: protected land location, rural community, suburban community and urban community. Each region takes a city as an example group to calculate in our evaluation model, and the light pollution level score is as follows: Greater Khingan Mountains region: 3.7, Panzhihua City: 4.09, Suzhou City: 6.2, New York: 9.97. The results indicate that the areas with high population density have serious light pollution, which is consistent with the actual situation and verifies the rationality of the model.