Author(s)

Zijun Song ¹

Affiliation(s)

¹ School of Business, Xi'an International Studies University, Xi'an, 710128, China

Corresponding Author

Zijun Song

ABSTRACT

Light pollution refers to the excessive or improper use of artificial light. Global light pollution poses environmental and health problems. Therefore, there is a need to develop light pollution metrics to measure light pollution levels and select effective intervention strategies. Firstly, the global light pollution related data in the past 5 years were selected to determine 4 primary indicators, such as interference light pollution, visual light pollution, sky brightness, and biological light damage, as well as 48 secondary indicators, such as population. Then, the second-level indicators were downgraded by combining principal component analysis, and 12 second-level indicators with important impacts were screened out. After that, AHP, entropy weight method and CRITIC method were used to synthesize the light pollution weight evaluation model by comprehensively assigning weights and initially determining the evaluation interval of light pollution level. At the same time, the multilevel fuzzy comprehensive evaluation method was used to test and to determine the light pollution risk level of a location by obtaining five light pollution evaluation levels based on the upper and lower limits of the evaluation interval. In addition, the cases of Cocoa Sicily Nature Reserve, Xizang, Philadelphia, and New York as the location of protected land, rural communities, suburban communities, and urban communities, respectively, were substituted into the light pollution weight evaluation model to obtain the light pollution scores and grades for each area, respectively. Finally, the four regions are compared and analyzed to draw conclusions and give suggestions and strategies to intervene in light pollution.

KEYWORDS

Light Pollution, PCA, Comprehensive Weighting, FCE

CITE THIS PAPER

Zijun Song, Research on Light Pollution Evaluation Modeling Based on Comprehensive Weights and FCE. Environment, Resource and Ecology Journal (2023) Vol. 7: 66-76. DOI: http://dx.doi.org/10.23977/erej.2023.070709.

REFERENCES

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