Research on national vulnerability and climate change based on FSI

Yang Wu, Wen-He Li, Ruiying Du
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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.
基于FSI的国家脆弱性与气候变化研究
气候变化问题已成为全球热点,越来越多的国家对此予以重视,特别是脆弱国家需要掌握气候变化对国家脆弱性的影响。建立评价模型是为了对世界上大多数国家的脆弱性进行定量分析。为了使本文更容易理解,我们只关注模型中使用的代表性字符,而忽略了深刻的数学理论。本文使用12个指标来衡量国家脆弱性的四个方面。通过K-means聚类分析180个国家2021年的国家脆弱性总值和排名,最后运用回归函数建立多元线性拟合模型。研究发现,如果没有气候条件的影响,国家的脆弱性将会降低。在脆弱性较强的国家,经济发展和人力资源非常局限于其国家脆弱性。综上所述,研究该地区的国家脆弱性和气候变化有利于国家发展和人们对气候的深入研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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