With the development of science and technology and the increase of population, artificial light is used more and more. Abuse and misapplication of artificial light will cause light pollution. Light pollution may affect the nighttime environment, disrupt the living habits of organisms, affect human health and affect astronomical observations. The paper innovatively divided the light pollution risk model into two levels, which were equivalent to the correction of the light pollution degree index. After selecting appropriate evaluation indicators, the paper first collected data from 20 countries to satisfy the universality of the model. Next, this essay used a method which combined of subjectivity and objectivity to assign weights to each indicator and calculated the scores of 20 countries. Finally, it divided the light pollution risk score into four levels by K-means clustering, which were no risk, low risk, medium risk, and high risk.

Minghao Guan, Yifeng Zhu, Xuan Liu. Assessment of light pollution based on the k-mean clustering analysis. The Frontiers of Society, Science and Technology (2023) Vol. 5, Issue 11: 117-121. https://doi.org/10.25236/FSST.2023.051118.

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