Author(s)

Haokun Chong ¹, Qian Chen ¹, Xipu Zhang ¹

Affiliation(s)

¹ Harbin University of Science and Technology, Harbin, 150080, China

Corresponding Author

Haokun Chong

ABSTRACT

Based on existing research on light pollution, this article comprehensively considers factors such as social development level, and designs an indicator system suitable for evaluating the risk level of light pollution. By selecting relevant data from four representative areas: urban, suburban, nature reserves, and rural areas, and selecting indicators from three levels: socio-economic, ecological environment, and species diversity, the entropy weight method and TOPSIS method are used to evaluate the level of light pollution risk in the region. The results indicate that the risk level of light pollution in cities is the highest, followed by suburban areas, rural areas, and nature reserves. It is necessary to adopt intervention strategies to reduce the risk level of light pollution from the perspectives of light environment management and pollution source management.

KEYWORDS

Light Pollution; Risk Assessment; Multiple Linear Regression Analysis

CITE THIS PAPER

Haokun Chong, Qian Chen, Xipu Zhang, Risk assessment system and prevention measures for light pollution. Environment, Resource and Ecology Journal (2024) Vol. 8: 18-24. DOI: http://dx.doi.org/10.23977/erej.2024.080104.

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