Light Pollution Risk Assessment Indicator System and Regional Analysis

Abstract

This paper presents a light pollution risk assessment indicator system based on the four principles of index system construction. The system consists of eight categories of primary indicators and 15 secondary indicators, established through three rounds of Delphi screening and correlation analysis. Using the Topsis entropy weighting method, the paper scores the indicators and finds that urban communities have the highest score and the most serious light pollution, while protected areas have the lowest score and the least light pollution. By using one-way ANOVA to analyze the influence of secondary indicators on light pollution in each region, the paper concludes that there is a significant difference between the different area types in the composite score index, with protected land sites being the least contaminated by risk and urban communities being the most contaminated.