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Damage to residential buildings due to flooding of New Orleans after hurricane Katrina

机译:卡特里娜飓风后新奥尔良洪水泛滥,对居民楼造成的破坏

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摘要

This article analyzes the direct damage to residential buildings caused by the flooding of New Orleans after hurricane Katrina in the year 2005. A public dataset has been analyzed that contains information on the economic damage levels for approximately 95,000 residential buildings in the flooded area. The relationship between the flood characteristics and economic damage to residential buildings has been investigated. Results of hydrodynamic flood simulations have been used that give insight in water depths and flow velocities in the study area. In general, differences between the three polders in the observed distributions of damage estimates are related to differences in flood conditions. The highest damage percentages and structural damage mainly occurred in areas where higher flow velocities occurred, especially near the breaches in the Lower 9th Ward neighborhood. Further statistical analysis indicated that there is not any strong one-to-one relationship between the damage percentage and the water depth or the depth–velocity product. This suggests that there is considerable uncertainty associated with stage-damage functions, especially when they are applied to individual structures or smaller clusters of buildings. Based on the data, a more general approach has been proposed that could be used to distinguish different damage zones based on water depth and flow velocity for an area that is affected by flooding due to breaching of flood defenses. Further validation of existing damage models with the dataset and further inclusion of information on building type in the analysis of damage levels is recommended.
机译:本文分析了2005年卡特里娜飓风后新奥尔良洪水对居民住宅造成的直接破坏。已经分析了一个公共数据集,其中包含洪水泛滥地区大约95,000座住宅建筑物的经济破坏程度信息。研究了洪水特征与对住宅建筑物的经济损害之间的关系。使用了水动力洪水模拟的结果,可以深入了解研究区域的水深和流速。通常,观察到的破坏估计分布中三个之间的差异与洪水条件的差异有关。最高的损坏百分比和结构损坏主要发生在流速较高的区域,尤其是在第9病区附近的裂口附近。进一步的统计分析表明,破坏百分比与水深或深度-速度积之间没有任何强烈的一对一关系。这表明与阶段破坏功能相关的不确定性很大,尤其是当将它们应用于单个结构或较小的建筑物群时。根据这些数据,已提出了一种更通用的方法,该方法可用于根据水深和流速来区分受防洪破坏而遭受洪水影响的区域的不同破坏区域。建议使用数据集进一步验证现有损坏模型,并在损坏级别分析中进一步包含建筑物类型的信息。

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