A study of light pollution based on TOPSIS model

Abstract

Light pollution is a growing environmental problem that has a significant negative impact on humans and wildlife. In order to cope with this problem, a light pollution risk assessment model is developed in this paper. This model is built by the TOPSIS model and coefficient of variation method, by carefully selecting evaluation indicators and using statistical methods to determine their weights. After the solution, it was found that the distribution density of light pollution sources, population density, and biodiversity has the greatest influence on light pollution. To evaluate the effectiveness of the model, this paper applies it to 30 cities in China. Finally, it was found that the highest light pollution levels were found in suburban and urban areas, while the lowest light pollution levels were found in protected areas. However, in Inner Mongolia, the risk of light pollution was higher in rural areas than in urban and suburban areas. This finding emphasizes the importance of considering regional differences when developing mitigation strategies. Based on the findings of this paper, it is recommended that the density of light pollution sources be adjusted to mitigate its impact while focusing on urban and suburban areas. Overall, the light pollution risk assessment model developed in this paper is a valuable tool for policymakers and researchers to better understand the impacts of light pollution and develop effective mitigation strategies. Finally, this paper also conducts model extensions and evaluations.