Research on solution strategy based on light pollution risk level assessment model

Authors

  • Yuqiong Chen
  • Wenhui Bian
  • Shuai Chen

DOI:

https://doi.org/10.54097/hset.v50i.8545

Keywords:

List LPRL; AHP; EWM; Pareto optimality; Linear Programming model.

Abstract

Global light pollution is darkening the stars in many parts of the world, even endangering humanity and the environment. Therefore, in order to mitigate the effects of light pollution and make the stars shine brightly in the sky, we do further research on the problem of light pollution. First, in order to determine the light pollution level in specific areas, we established the light pollution risk level assessment index system (LPRL). Based on the hierarchical analysis process (AHP) and the entropy weight method (EWM), we selected three first-level indicators. Next, we first estimated the LPRL for the four selected sites protecting land location, rural, suburban, and urban communities. Then, we proposed three reasonable and effective intervention strategies from the perspective of preventing light pollution sources, reducing light pollution hazards, and reducing light pollution transmission. Finally, we selected two sites in the suburbs of Shanghai and central Shanghai and identified their best intervention strategies by qualitative analysis.

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References

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Published

21-05-2023

How to Cite

Chen, Y., Bian, W., & Chen, S. (2023). Research on solution strategy based on light pollution risk level assessment model. Highlights in Science, Engineering and Technology, 50, 241-248. https://doi.org/10.54097/hset.v50i.8545