| Issue |
E3S Web of Conf.
Volume 393, 2023
2023 5th International Conference on Environmental Prevention and Pollution Control Technologies (EPPCT 2023)
|
|
|---|---|---|
| Article Number | 03012 | |
| Number of page(s) | 6 | |
| Section | Pollution Control and Waste Recycling | |
| DOI | https://doi.org/10.1051/e3sconf/202339303012 | |
| Published online | 02 June 2023 | |
Comprehensive evaluation of light pollution based on AHP and EWM integrated model
1 All these authors contribute equally
2 School of Aotomation, Beijing Institute of Technology, Beijing, China
3 School of Management and Economics, Beijing Institute of Technology, Beijing, China
4 School of Computing, Beijing Institute of Technology, Beijing, China
5 School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, China
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.
© The Authors, published by EDP Sciences, 2023
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