Quantitative Light Pollution Risk Assessment System Based on TOPSIS Method and RLE Modeling

Abstract

Light pollution is causing great harm to human physical, mental health and the ecosystem. With the development of the times, light pollution is getting more and more intense. In order to better recognize and solve these problems, this paper focuses on constructing a light pollution risk level evaluation system to quantify light pollution, measure the light pollution risk level of each region, and give some feasible measures to reduce light pollution. The light pollution risk level (LPRL) index is established to measure the light pollution risk level; the perturbed TOPSIS method combined with entropy weighting is used to construct a comprehensive evaluation model (TEW) to evaluate the LPRL values of the four cities, and cluster analysis is performed. A region's total artificial light radiation is modeled and quantitatively analyzed with the Regional Artificial Light Radiation Estimation (RLE) model, and possible measures to reduce the LPRL values are proposed. The results show that rational control of light hours for urban communities can reduce LPRL values by 34%. For suburban communities, rational use of light can reduce LPRL values by 30%. Finally, some measures are proposed to reduce light pollution.