Abstract

With the rapid development of urban economy, the value of China's light resources has been explored, but its impact on ecological environment has also been gradually intensified. In order to establish a universal light pollution measurement standard model, this paper uses the combination of AHP and EWM to determine the index weight, and gives the calculation method and index evaluation standard of theoretical data. In order to measure the risk level of light pollution numerically, this paper uses the PEST analysis model to construct the light Pollution Risk Index (LPI ) and establish the index group. The Fuzzy Delphi Method is utilized to screen the first-level indicators and the second-level indicators, and finally 4 first-level indicators and 14 second-level indicators are obtained. Using this evaluation model, the degree of light pollution in different areas was evaluated by questionnaires, and the results showed that urban areas had the most serious light pollution. Finally, based on the night sky brightness formula, this paper analyzed the sensitivity of the algorithm. The results showed that the selected quantitative indicators have strong stability and the model has strong robustness.

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