| Issue |
E3S Web Conf.
Volume 441, 2023
2023 International Conference on Clean Energy and Low Carbon Technologies (CELCT 2023)
|
|
|---|---|---|
| Article Number | 02016 | |
| Number of page(s) | 5 | |
| Section | Pollution Control and Low-Carbon Energy Saving Development | |
| DOI | https://doi.org/10.1051/e3sconf/202344102016 | |
| Published online | 07 November 2023 | |
Comprehensive Assessment and Intervention: Analyzing and Mitigating Light Pollution Level in Different Regions Using the Entropy Weight Method, TOPSIS, and Fuzzy Comprehensive Evaluation Method
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Hongshan District, Wuhan, Hubei, China
* Corresponding author: 572216092@qq.com
Light pollution is wreaking havoc on a global scale, which affects the environment, the rhythms of living things, and even our health and safety. In order to calculate the light pollution level in different regions, the entropy weight method was used to calculate the weight of light pollution evaluation indicators of eight cities of four types. Then, the light pollution risk level of eight cities was calculated using TOPSIS(the Technique for Order Preference by Similarity to an Ideal Solution), which was defined as LPRI. Finally, the degree and order of light pollution in four types of regions are obtained. According to each evaluation indicator of light pollution, we put forward corresponding measures to reduce light pollution, and obtained the most effective measures for each region by fuzzy comprehensive evaluation method. The entropy weight method and TOPSIS can make full use of the original information of each indicator data in eight cities to obtain an objective and ac-curate light pollution risk level. When it is impossible to obtain the specific data of the impact of different measures on the LPRI index values of each region, the fuzzy comprehensive evaluation method using fuzzy mathematical concepts is used to objectively obtain the most effective intervention measures for different regions.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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