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Spatial Analysis of Social Vulnerability to Floods Based on the MOVE Framework and Information Entropy Method: Case Study of Katsushika Ward, Tokyo

机译:基于移动框架和信息熵的社会脆弱性对洪水的空间分析:katsushika病房,东京案例研究

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摘要

Tokyo is located in a lowland area that is vulnerable to flooding. Due to global climate change, the scalability and frequency of flooding is increasing. On the other hand, population aging and family structural changes, as well as the lack of adaptation measures, would accelerate flooding vulnerability. The key factors involved in social vulnerability must be studied to reduce the risk of flooding. In this study, we refer to the MOVE framework (a disaster vulnerability assessment framework) and analyze it from three perspectives: Exposure to social vulnerability, susceptibility, and resilience. We subsequently develop an index system to complete the evaluation using 11 indicators. The collected data will help reveal social vulnerability to floods in the Katsushika Ward, Tokyo, using the information entropy method and GIS. We found that the western region of the Katsushika Ward is at more risk than the eastern region during flooding. Additionally, the possibility of a serious crisis erupting is greater in the southwestern region than in the northwestern region. Consequently, we conclude that the spatial distribution of flooding varies in the region. The results of this study will help in understanding social vulnerability, in selecting and combining adaptation measures suited to the characteristics of the area, and in the effective and efficient implementation of these measures by the local government’s disaster department.
机译:东京位于一个脆弱的低地地区,易受洪水。由于全球气候变化,洪水的可扩展性和频率正在增加。另一方面,人口老化和家庭结构变化以及缺乏适应措施,将加速洪水脆弱性。必须研究涉及社会脆弱性的关键因素,以降低洪水的风险。在这项研究中,我们指的是移动框架(灾难漏洞评估框架),并从三个角度分析它:接触社会脆弱性,易感性和弹性。我们随后开发一个索引系统,以使用11个指示器完成评估。使用信息熵方法和GIS,所收集的数据将有助于揭示在东京的Katsushika Ward洪水中的社会脆弱性。我们发现,Katsushika Ward的西部地区在洪水洪水期间比东部地区的风险更高。此外,西南地区的严重危机爆发的可能性大于西北地区。因此,我们得出结论,洪水的空间分布在该地区各不相同。本研究的结果将有助于了解社会脆弱性,在选择和结合适应该地区特征的适应措施,以及当地政府灾害部门的有效和有效地执行这些措施。

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  • 作者

    Takehiro Morimoto;

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  • 年度 2019
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  • 原文格式 PDF
  • 正文语种 eng
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