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Academic Journal of Engineering and Technology Science, 2019, 2(2); doi: 10.25236/AJETS.020039.

The impact of climate change on regional instability


Zihui He1, *, Feng Gao2

Corresponding Author:
Zihui He

1 School of Water Conservancy And Environment, China Three Gorges University, YiChang 443000, China
2 School of science, China Three Gorges University, YiChang 443000, China
*Corresponding author e-mail: 1306376890@qq.com


The main purpose of this paper is to establish a regional vulnerability index evaluation model to describe a country's vulnerability and how climate change affects national vulnerability. In this paper, gray relational analysis is used to quantitatively describe the degree of development of similar or different degrees of development among factors. The selected indexes are normalized and the gray correlation coefficient and national vulnerability index are calculated. In this paper, the regression model of national vulnerability index is established, and the factors affecting national vulnerability are analyzed by using the method of control variables. Finally, we can know that the national vulnerability index is positively correlated with the climate index value, and find out the national vulnerability index. A turning point in the number.


gray relational analysis, regression model, data standardization, climate, instability

Cite This Paper

Zihui He, Feng Gao. The impact of climate change on regional instability. Academic Journal of Engineering and Technology Science (2019) Vol. 2 Issue 2: 32-42. https://doi.org/10.25236/AJETS.020039.


[1] Krakowka, A.R., Heimel, N., and Galgano, F. “Modeling Environmenal Security in Sub-Sharan Africa – ProQuest.” The Geographical Bulletin, 2012, 53 (1): 21-38.
[2] Schwartz, P. and Randall, D. “An Abrupt Climate Change Scenario and Its Implications for United States National Security”, October 2003.
[3] Zhong Jinming, Zhang Zhichao, Sun Lingling, Wang Shuqian. Analysis of water quality evaluation based on gray relational degree [J]. Water Resources Science and Technology, 2017, 23 (12): 42-48.
[4] He Jinlong Wu Sheng, Zhou Haihe, ying-na li, Wu Xingjiao, jazz boy, Ma Haoxuan. Based on the GM (1, 1) - environment prediction and analysis of the PCA study [J]. Journal of information technology, 2018 (01): 105-109
[5] Su Yinfa, Sun Jianshu, Bai Xuemin.Application of posterior difference test to goodness-of-fit test of drug in vitro dissolution model [J]. Journal of Mathematical Medicine, 2000 (02): 119.