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Academic Journal of Environment & Earth Science, 2023, 5(7); doi: 10.25236/AJEE.2023.050704.

A light pollution evaluation index system


Minchao Hu, Runze He, Yu Meng, Shengqun Gao, Xingyu Lu, Xiaotong Ji, Lingan Kong, Xinjie Duan

Corresponding Author:
Minchao Hu

Space Engineering University, Beijing, 101416, China


Light pollution is gradually affecting our safety and health and damaging the ecological environment. It is very important to establish an evaluation system for determining the risk level of light pollution and to propose intervention policies to prevent and control light pollution at present. From the causes of light pollution and macroscopic light pollution related factors, we establish a comprehensive evaluation index system of light pollution by considering 6 major categories and 20 indicators under them, such as daytime and nighttime light environment evaluation index, regional development level and night light index. We use the hierarchical analysis method to divide the criterion and indicator layers: establish the recursive hierarchy model, construct all judgment matrices in each level, conduct hierarchical ranking and one-time test[1]; process the data based on PCA and K-means++ to derive the principal components and cluster the principal component data, solve the model based on the entropy weight method (EVM) TOPSIS method to obtain the principal component weight values and comprehensive evaluation score Q The final light pollution level is divided into five levels according to the comprehensive evaluation score: no light pollution (level I), light light pollution (level II), moderate light pollution (level III), heavy light pollution (level IV), and severe light pollution (level V) (the larger the comprehensive evaluation score Q means the more serious light pollution). We obtained some professional data for Shenyang City, Liaoning Province, China, based on the literature [1], and supplemented all index data from the National Bureau of Statistics of China to verify the correctness of the model with the data of Shenyang City. In addition, in order to verify the evaluation system we established, we substituted the established evaluation model into the data of Changbai Mountain, China, Bajibi Town, Nongan County, Changchun City, Jilin Province, China, Nongan County, Changchun City, Jilin Province, China, and Changchun City, Jilin Province, China, to calculate the risk level of light pollution, and supported the correctness of the results from Light Pollution Map, and analyzed the results from each indicator.


light pollution; evaluation index system; AHP; ICC; PCA; k-means++; EWM; TOPSIS; intervention strategy

Cite This Paper

Minchao Hu, Runze He, Yu Meng, Shengqun Gao, Xingyu Lu, Xiaotong Ji, Lingan Kong, Xinjie Duan. A light pollution evaluation index system. Academic Journal of Environment & Earth Science (2023) Vol. 5 Issue 7: 28-36. https://doi.org/10.25236/AJEE.2023.050704.


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