National Vulnerability Assessment System: Part1 Model Theory

DOI

10.2991/erss-18.2019.44How to use a DOI?

Keywords

Climate change, NVAS, grey relational analysis, regression analysis.

Abstract

In recent years, the impact of climate change on national vulnerabilities has become increasingly evident. Therefore, it is of crucial importance to propose a sound evaluation system to measure the impact of national vulnerabilities and climate change. In this paper, we focus on how to develop a comprehensive national vulnerability assessment system that takes into ac-count climate change. Based on analysis from Fragile States Index, we build the NVAS (National Vulnerability Assessment System) which includes SA (Social aspects), EA (Economic aspects) and PA (Political aspects) and we divide the four dimensions of judging national vulnerabilities. Each contains three first class indicators and different quantities of second-class indicators. We choose temperature and precipitation as indicators of climate change. By analyzing the influence of temperature and precipitation on the four second-level indicators, the indirect impact of climate change on the national vulnerability is obtained.

Copyright

© 2019, 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/).

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TY  - CONF
AU  - Fengshan Song
PY  - 2019/01
DA  - 2019/01
TI  - National Vulnerability Assessment System: Part1 Model Theory
BT  - Proceedings of the 2018 International Workshop on Education Reform and Social Sciences (ERSS 2018)
PB  - Atlantis Press
SP  - 224
EP  - 227
SN  - 2352-5398
UR  - https://doi.org/10.2991/erss-18.2019.44
DO  - 10.2991/erss-18.2019.44
ID  - Song2019/01
ER  -