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在不同极端降雨情景下评估社会脆弱性:在中国河南省的案例研究
Xiaobing Zhou1,2,3, Yongling Zhang1, Wei Wang1
1School of Business Administration, Henan Polytechnic University, Jiaozuo, China.
PloS one
|March 8, 2024
概括
极端降水事件造成重大损失. 这项研究开发了河南省的社会脆弱性指数 (SoVI),揭示了随着灾害复发间隔的增加,脆弱性会增加.
科学领域:
- 环境科学 环境科学
- 灾害管理 灾害管理
- 社会地理学 社会地理学
背景情况:
- 极端降水事件对人类社会构成重大风险,导致大量损失和伤亡.
- 了解社会脆弱性对于有效的灾害风险管理和政策制定至关重要.
研究的目的:
- 在不同的极端降雨情景下构建和应用社会脆弱性指数 (SoVI).
- 分析河南省社会脆弱性的空间和时间变化.
- 评估灾难复发间隔对社会脆弱性的影响.
主要方法:
- 基于MOVE框架的社会脆弱性指标系统的开发 (暴露,敏感性,弹性).
- 使用数学模型对三个不同的极端降水复发间隔进行SoVI的计算.
- 在河南省对SoVI分布和变化的空间分析.
主要成果:
- 发现社会脆弱性指数 (SoVI) 在河南西部较低,北部地区较高.
- 随着复发间隔的增加,高SoVI区域向南和向中心扩大.
- 在河南省的所有地区,SoVI表现出一致的增长,复发间隔不断增加,增长率各不相同.
结论:
- 社会脆弱性受到灾害水平的重大影响,因此需要将其纳入脆弱性评估中.
- 这项研究为社会脆弱性评估方法提供了新的见解.
- 调查结果为决策者在制定极端降雨事件风险管理策略时提供了宝贵的参考.
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