A Risk Level Assessment Model for Artificial Light Pollution Based on Risk Field Theory and Entropy Weight TOPSIS Method

Abstract

In order to better develop a widely applicable indicator to determine the risk level of artificial light pollution in various regions, this paper proposes an artificial light pollution risk level assessment mechanism based on risk field theory and entropy weight TOPSIS method. Firstly, based on the theory of environmental risk field, two major types of light pollution indicators are selected: the intensity of the light pollution source itself (including industrial light pollution level, type of light pollution source, distance of light pollution, density of buildings, degree of residential light pollution, degree of traffic light pollution, etc.) and the vulnerability of light pollution receptors (including vegetation coverage and its type, surface type, building density, etc.). Then, an entropy weight TOPSIS method is used to establish a light pollution risk level assessment model, and regional representatives with different light pollution gradient characteristics from China are selected as reference data. Finally, the scoring results of artificial light pollution risk levels in different regions are obtained to verify the assessment model. The obtained results can provide quantitative results and qualitative analysis for light pollution risk assessment. The innovation of this article lies in the development of a light pollution risk assessment model that provides a reasonable evaluation of the level of light pollution risk in different regions. This model combines quantitative and qualitative analysis of indicators.