Research on national vulnerability and climate change based on FSI

Yang Wu; Wen-He Li; Rui-Shan Du

doi:10.1117/12.2673383

3 April 2023 Research on national vulnerability and climate change based on FSI

Yang Wu, Wen-He Li, Rui-Shan Du

Proceedings Volume 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022); 125991A (2023) https://doi.org/10.1117/12.2673383
Event: 2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022), 2022, Chendgu, China

Abstract

The issue of climate change has become a global hotspot, and more and more countries attach importance to it, especially those vulnerable countries need to master the impact of climate change on national vulnerability. The evaluation model is established to provide a quantitative analysis of vulnerability for most countries in the world. In order to make this article easier to understand, we only focus on the representative characters used in the model, while ignoring the profound mathematical theory. This paper uses 12 indicators to measure the four areas of national vulnerability. Through K-means cluster analysis of the total national vulnerability value and ranking of 180 countries in 2021, and finally, Regress function is used to establish a multivariate linear fitting model. The study found that without the impact of climate conditions and national vulnerability would be reduced. In countries with strong vulnerability, economic development and human resources are very limited to their national vulnerability. To sum up, research on national vulnerability and climate change in the region is conducive to national development and people's in-depth research on climate.

Citation Download Citation

Yang Wu, Wen-He Li, and Rui-Shan Du "Research on national vulnerability and climate change based on FSI", Proc. SPIE 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022), 125991A (3 April 2023); https://doi.org/10.1117/12.2673383

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