Author(s)

Yiqi Luo ¹

Affiliation(s)

¹ School of Computer Science and Engineering, Southwest Minzu University, Chengdu, 610041, China

Corresponding Author

Yiqi Luo

ABSTRACT

In recent years, the environmental pollution generated by light pollution has become increasingly serious, and indeed, inefficient and unnecessary artificial light sources have exerted a lot of negative effects on human activities and natural environment. Therefore, it is of great importance to detect and evaluate the light pollution risk level in a region, and to specifically deal with and improve the light pollution in the region. Based on the global entropy weight method, entropy weight TOPSIS method, BP (back propagation) neural network model, the present study takes 4 regions in China from 2013 to 2020 as the research objects to construct the light pollution risk evaluation model, and determine the sensitivity of different indexes to the risk degree of light pollution, so as to explore the strategies to reduce light pollution. It is found that the severity of light pollution in coastal regions is higher than that in inland regions, while the severity of light pollution in developed regions is higher than that in less developed regions, so the light pollution can be alleviated by limiting the use of nighttime artificial lighting, population transfer and economic transformation, lighting technology innovation, as well as the use of clean energy.

KEYWORDS

Light pollution, global entropy weight method, entropy weight TOPSIS method, neural network

CITE THIS PAPER

Yiqi Luo, Research on Light Pollution Risk Level Evaluation and Intervention Strategies. Environment, Resource and Ecology Journal (2023) Vol. 7: 40-50. DOI: http://dx.doi.org/10.23977/erej.2023.070505.

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