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Estuarine flooding in urban areas: enhancing vulnerability assessment

机译:河口洪水在城市地区:增强脆弱性评估

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摘要

The assessment of vulnerability provides valuable knowledge in the risk assessment steps of a risk governance process. Given the multiscale, multilevel, and multisectorial aspects of flood risk, the diversified entities that directly and indirectly intervene in risk management require specific outputs from the assessment studies. Urban areas in estuarine margins are particularly exposed and vulnerable to flooding. Such interface conditions are found in the Old City Centre of the Seixal, located in the Tagus estuary, Portugal. Here, two distinct methodologies were applied for the assessment of territorial vulnerability. A regional, lower-scale, methodology explores the application of the statistical procedure based on the SoVI((R)) at the statistical block level. A second, local and higher-scale, methodology is based in data collected through field matrices at the building and statistical sub-block level. Comparison of results revealed that the lower-scale assessment provides information on the vulnerability drivers at the regional and municipal level. Nevertheless, only at a higher-scale, it is possible to characterize and differentiate the smaller geographical units of analysis that compose the Old City Centre of Seixal. The lower-scale vulnerability assessment allows a strategic response, based on adaptation measures such as spatial planning, institutional capacity building and public awareness. The local level assessment provides more accurate knowledge to support local emergency planning and the allocation of operational and material resources at the urban level. Nevertheless, rather than antagonistic, both models can be considered as complementary, having in mind the requirements of an holistic flood risk governance model.
机译:脆弱性评估为风险治理过程的风险评估步骤提供了有价值的知识。鉴于多尺度,多级和多重传导方面的洪水风险,直接和间接介入风险管理中的多元化实体需要评估研究中的特定产出。河口边缘的城市地区特别暴露,易受洪水涌入。这种界面条件是在Seixal的旧城中心找到,位于葡萄牙塔斯州河口。在这里,应用两个不同的方法用于评估领土脆弱性。区域,较低规模的方法探讨了基于SOVI((r))在统计块水平上的统计程序的应用。第二种,局部和更高规模的方法基于通过建筑物和统计子块级通过字段矩阵收集的数据。结果的比较显示,较低规模的评估提供了关于区域和市级的漏洞驱动因素的信息。然而,只有以更高的规模,可以表征和区分较小的地理单位分析,这些分析组成了Seixal的旧城市中心。基于空间规划,机构能力建设和公众意识等适应措施,较低规模的脆弱性评估允许战略反应。地方一级评估提供了更准确的知识,以支持当地应急规划和城市一级的运营和物质资源分配。然而,两种模型都可以被视为互补,而不是对抗,以纪念整体洪水风险治理模型的要求。

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