A Light Pollution Risk Standard Model Based on Entropy Weight Method and K-Means Clustering Algorithm

In recent years, with the continuous development of science and technology in the world, all kinds of lighting facilities are also increasing, which also means that we are also facing the problem of light pollution more and more serious. Light pollution will change our view of the night sky, affect the environment, and affect our health and safety. For example, plant maturation may be delayed or accelerated, and wildlife migration patterns may also be affected. Too much artificial light may disrupt our circadian rhythm, lead to poor sleep quality, and may also lead to physical and mental health problems. Glare caused by electric lights may cause some motor vehicle accidents. Therefore, we established a light pollution risk standard model based on entropy weight method and K-means clustering algorithm, and analyzed the light pollution risk in different regions. The results show that the risk level of light pollution in New York state is the highest, and the risk level of light pollution in China's Sanjiangyuan Nature Reserve is the lowest.