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Academic Journal of Environment & Earth Science, 2023, 5(4); doi: 10.25236/AJEE.2023.050408.

Models for Measuring Light Pollution Risk


Liang Wenxin1, Ma Yan2, Liang Wei3

Corresponding Author:
Liang Wenxin

1College of Management, South-Central Minzu University, Wuhan, Hubei, 430074, China

2College of Education, South-Central Minzu University, Wuhan, Hubei, 430074, China

3College of Preparatory Education, Jishou University, Jishou, Hunan, 416000, China


With the development of social economy, light pollution becomes more serious. In order to deal with double carbon policy and promote sustainable development of green economy, the reduction of light pollution has become an important task in today's society. This paper established a measurement model for evaluating the degree of light pollution (Model I) by integrating a large amount of data and principal component analysis, and applied it to four different types of areas. Combined with clustering algorithm, three strategies to solve the problem of light pollution were proposed (Model II), and the effect of each strategy on the prevention and control of light pollution was discussed. Finally, this paper applies these three measures to two different areas of Beijing and New York to get the most effective intervention strategies.


Light pollution, PCA, Intervention strategies, Clustering

Cite This Paper

Liang Wenxin, Ma Yan, Liang Wei. Models for Measuring Light Pollution Risk. Academic Journal of Environment & Earth Science (2023) Vol. 5 Issue 4: 54-59. https://doi.org/10.25236/AJEE.2023.050408.


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