Light pollution assessment based on linear weight scoring function

Abstract

In recent years, with the rapid development of big cities, light pollution is everywhere, which causes people to think. Balancing the benefits of artificial light and the negative effects of light pollution is an increasingly thorny issue. More and more environmentalists are calling for the cessation of extensive night lighting and nightlife to reduce the harm caused by light pollution. This paper establishes a risk level assessment model for light pollution and proposes three options for dealing with the phenomenon.Considering that the impact of light pollution involves all aspects of people's lives, six indicators, namely GDP, population density, percentage of arable land, energy consumption, percentage of population living under artificial brightness higher than natural brightness, and crime rate, were selected from economic, ecological, and social aspects to determine the risk level of light pollution. Hierarchical analysis and entropy weight were combined to obtain the combined weights. A linear weight scoring function r was constructed to determine the local light pollution level.In response to the formation factors of light pollution, three strategies are proposed to control light pollution in terms of luminaire types, lighting patterns and government management intervention and guidance. Among the types of lamps and lanterns, it is recommended to promote truncated lamps. In addition, reducing the commercial use of LED lighting is also a necessary solution. In terms of lighting patterns, two different lighting patterns are proposed, reducing the use of floodlighting and using less special lighting to minimize light pollution caused by improper lighting patterns. Finally, stand for the government to increase the management mode and optimize the city's lighting hours.