Research on Light Pollution Risk Level in Different Regions-- Hangzhou As An Example

• DOI: 10.54097/hset.v59i.10140
• Publication Date: 2023-07-17T03:23:06Z
• Authors: Guanqiao Wang; Bohang Lin; Heng Zhou
• Keywords: TOPSIS; Ideal solution; Prosperity; Light Pollution

When human beings enjoy the prosperity of city, it is difficult to escape ubiquitous light pollution. In order develop a widely applicable metric determine level pollution risk, article establishes risk identification model. The Technique for Order Preference by Similarity Ideal Solution (TOPSIS) adopted comprehensive evaluation 4 types improve weight assignment process TOPSIS, entropy method (EWM) used. Finally, conducts K-Means clustering algorithm grade different locations. proportion regions high medium and low are 28.57%, 42.86% 28.57% respectively.