Light pollution measurement and strategy modelling based on multidimensional data

Jiting Cheng; Changzhi Peng; Yao He

doi:10.1117/12.3011609

7 December 2023 Light pollution measurement and strategy modelling based on multidimensional data

Jiting Cheng, Changzhi Peng, Yao He

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129411S (2023) https://doi.org/10.1117/12.3011609
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

Artificial light sources have intensified light pollution, diminishing visible stars and threatening biodiversity and ecological balance. It is crucial to establish an evaluation index of light pollution and put forward effective treatment strategies. This study establishes an evaluation model for light pollution, considering extensive data and principal component analysis, and the clustering algorithm is used for analysis. Then we came up with three solutions to the light pollution issue and spoke about how each might affect its prevention and management. In addition, we applied these three strategies in two different regions and came up with the most effective intervention strategies. Finally, two typical regions are selected to illustrate the pathways through which different strategies affect the final results.

Citation Download Citation

Jiting Cheng, Changzhi Peng, and Yao He "Light pollution measurement and strategy modelling based on multidimensional data", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129411S (7 December 2023); https://doi.org/10.1117/12.3011609

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