Research on the Light Pollution Risk Index Model Based on Entropy Weight Method and TOPSIS

Abstract

This paper applies entropy weight method and TOPSIS ideal solution method, multiple linear and linear regression, the least squares method and sensitivity analysis to the light pollution problem, and firstly, it discusses how to measure light pollution risk levels using multiple factors, and then explores different influencing factors for specific areas by controlling for variables and conducting a regional analysis of four urban areas in Beijing, while verifying the validity of the indicator model in an example. Next, this paper develops and tests three intervention strategies for light pollution risk levels, establishes a correlation model, and uses case studies to analyze what reasonable and effective interventions people should take. Finally, the successful implementation of this strategy may increase people's knowledge and environmental awareness of light pollution through leaflets to educate the population and thus reduce the possibility of light pollution flooding, in order to construct light pollution risk indicators, the evaluation criteria were determined based on the TOPSIS method combined with urban light pollution, normalized matrices, and a normalization method was used to standardize the score of each indicator into a relative score with weighted weights.