The Impact of Climate Change on Fragility Index: Based on Fuzzy Evaluation Model
- DOI
- 10.2991/ceed-18.2018.62How to use a DOI?
- Keywords
- AHP; Fuzzy Evaluation; Climate Changing; Fragility Index
- Abstract
All along, climate change has a huge impact on the development and stability of each country. It is also closely linked with the country’s fragility and even causes political ten-sions between countries. Therefore, finding the impact of climate change on the national fragility is very important for the development of China. This article focuses on how to set up a model to assess the impact of climate change on national fragilities and how to mitigate the effects of climate change through human intervention. First of all, three indicators have been chosen that measure the country’s fragility: economic factors, natural resource factors and safety factors, combined with the annual average annual precipitation to measure the impact of climate change. Through the mod-eling, a mathematical model of the relationship between the three factors and annual mean precipitation has been obtained. Based on these three factors, a fuzzy evaluation model based on analytic hierarchy process has been established to get an evaluation system of national vulnerability. Next, the effectiveness of the model across continents and cities has been tested and the conclusion is drawn that this model has a good prediction effect in the city, but more precise adjustments are needed on the continents.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Du Xiang-fei AU - Zhang Yi-xiao PY - 2018/12 DA - 2018/12 TI - The Impact of Climate Change on Fragility Index: Based on Fuzzy Evaluation Model BT - Proceedings of the 1st International Conference on Contemporary Education and Economic Development (CEED 2018) PB - Atlantis Press SP - 311 EP - 315 SN - 2352-5398 UR - https://doi.org/10.2991/ceed-18.2018.62 DO - 10.2991/ceed-18.2018.62 ID - Xiang-fei2018/12 ER -