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Response time to flood events using a social vulnerability index (ReTSVI)

机译:使用社交漏洞索引(RetSVI)的响应时间来泛洪事件

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摘要

Current methods to estimate evacuation time during a natural disaster do not consider the socioeconomic and demographic characteristics of the population. This article develops the Response Time by Social Vulnerability Index (ReTSVI). ReTSVI combines a series of modules that are pieces of information that interact during an evacuation, such as evacuation rate curves, mobilization, inundation models, and social vulnerability indexes, to create an integrated map of the evacuation rate in a given location. We provide an example of the application of ReTSVI in a potential case of a severe flood event in Huaraz, Peru. The results show that during the first 5 min of the evacuation, the population that lives in neighborhoods with a high social vulnerability evacuates 15 % and 22 % fewer people than the blocks with medium and low social vulnerability. These differences gradually decrease over time after the evacuation warning, and social vulnerability becomes less relevant after 30 min The results of the application example have no statistical significance, which should be considered in a real case of application. Using a methodology such as ReTSVI could make it possible to combine social and physical vulnerability in a qualitative framework for evacuation, although more research is needed to understand the socioeconomic variables that explain the differences in evacuation rate.
机译:目前估计自然灾害期间疏散时间的方法不考虑人口的社会经济和人口特征。本文通过社交漏洞索引(RetSVI)开发响应时间。 RetSVI组合了一系列模块,这些模块是在疏散期间交互的信息,例如疏散速率曲线,动员,淹没模型和社交漏洞索引,以在给定位置中创建疏散率的集成映射。我们提供了RetSVI在秘鲁Huaraz中严重洪水事件的潜在案例中的应用示例。结果表明,在疏散的前5分钟期间,居住在社会脆弱性高的社区群体中的人口撤离了15%和比中等社会脆弱性块的块少了15%和22%。随着时间的推移,这些差异随着时间的推移逐渐减少,并且在30分钟后,社交漏洞变得较低,应用示例的结果没有统计学意义,这应该在真正的应用中考虑。使用诸如RetSVI的方法可以使可以将社会和物理漏洞组合在定性的疏散框架中,尽管需要更多的研究来理解解释疏散率差异的社会经济变量。

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