Abstract
This paper focuses on light pollution and explores the management of urban light pollution. Firstly, after investigation, we know that atmospheric influence factor, night light optical index and regional planning factor are important indicators to measure the level of urban light pollution. Thus, we established a TOPSIS model based on entropy weight method, which can arrive at the conclusion that regional planning factors have the greatest influence on light pollution. Based on this, we then proposed a management strategy for the serious light pollution situation in urban commercial areas. Finally, we use Cellular Automata to simulate the process of the effect of this treatment strategy on urban light pollution.
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