Paper
28 July 2023 A two-phase comprehensive environmental assessment model for regional light pollution
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Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127562M (2023) https://doi.org/10.1117/12.2685985
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China
Abstract
The issue of light pollution has been arousing more and more attention on a global scale. Oceans and atmosphere on earth are seriously threatened by light pollution. In order to identify and assess the light pollution risk level of a location, this paper establishes a two-phase comprehensive environmental assessment model for regional light pollution. In phase I model, this paper selected 12 indicators from three aspects: source of light pollution, severity of pollution problem, and resource availability of pollution. Subsequently, the Logistic Regression model (LR) was utilized to obtain the models of the light pollution source and the resource availability of the treated pollution, and the regression model was developed through several significant tests. In phase II, this paper used Spearman correlation coefficient analysis to obtain 10 effective indicators that are highly correlated with the amount of light used. Then we used the comprehensive weighting method based on the Ana-lytic Hierarchy Process (AHP) and Entropy Weight Method (EWM) to give weight to 10 indicators, and finally we evaluated the risk of light pollution in four different types of locations based on the TOPSIS comprehensive evaluation method. Finally, the sensitivity analysis of the model is carried out, and the results show that our model has good stability and is very reliable.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zerui Xu, Mizi Sun, Yutong Li, Tao Liu, Lianjun Guo, Jiabo Zhang, and Yunfei Qi "A two-phase comprehensive environmental assessment model for regional light pollution", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127562M (28 July 2023); https://doi.org/10.1117/12.2685985
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KEYWORDS
Pollution

Light sources and illumination

Coastal modeling

Mathematical modeling

Safety

Data modeling

Correlation coefficients

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