Study On the Risk Level of Light Pollution Based on Principal Component Analysis

Abstract

In this paper, based on the principal component analysis, the evaluation indication of light pollution is established, and the effective control strategy is put forward. Through the statistical analysis of a large number of samples, light pollution is divided into four risk levels: no pollution, mild pollution, moderate pollution and moderate pollution. Then, seven parameters affecting light pollution are selected, the parameters of four areas are statistically analyzed, and eight groups of data are obtained. Through the principal component analysis, the dimension of the three principal components is reduced, and finally the relationship between the grade score of light pollution and the three principal components is obtained. In this study, scores were used as a universal measure to determine the risk level of light pollution in a place. According to the analysis of this study, the intervention strategy is put forward, for New York, Shanghai, Beijing and other national central cities, economic development is a priority, enterprises and households use light is huge, the need to strengthen the detection of lighting equipment and the introduction of relevant policies. Similarly, economic development is not a priority for Shanghai suburbs and Yamagata counties, and businesses and households will reduce the use of lighting. Finally, for nature reserves such as Sanjiangyuan, the development goal is to ensure that the environment will not be damaged. As a result, the light pollution index in these areas is very low.