Abstract

Nowadays, light pollution has become a serious environmental problem. However, there are no clear indicators to assess the level of light pollution risk in a certain area. Firstly, we took 31 provinces and cities in China as the research object, and collected the data of seven indicators that affect the risk level of light pollution, then weighted them using Analytic Hierarchy Process (AHP). Secondly, we used the Topsis method for quantitative calculation, and classified the light pollution risk level into five levels: heavy light pollution (score>0.05), high light pollution (0.04<score<0.05), moderate light pollution (0.03<score<0.04), mild light pollution (0.02<score<0.03), and no light pollution (score<0.02). Thirdly, we linked the light pollution risk level to the Comprehensive Development Level Index (CDCI) of each province and city, and divided the cities into four categories according to the CDCI. Then we used analogy analysis to measure the risk level of light pollution in four land types: protected land(score<0.02), rural area (0.02<score<0.03), suburban area (0.03<score<0.04) and urban area (score>0.04). Fourthly, we propose three intervention strategies to combat light pollution: strengthen urban planning and management, better the ecological design of nightscape lighting and improve the material of glass curtain wall. Finally, we test its rationality and feasibility. Our model can analyze the light pollution risk level of other countries or even continents. This is conducive to the government's future planning and resource control of the region.

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