From hazard to impact: flood damage assessment tools for mega cities
From hazard to impact: flood damage assessment tools for mega cities
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DOI：
10.1007/s11069-016-2223-2
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发表时间：
2016-06-01
期刊：
影响因子：
3.7
通讯作者：
Veerbeek, William
中科院分区：
文献类型：
--
作者：
Chen, Albert S.;Hammond, Michael J.;Veerbeek, William
在本文中，一套基于GIS的工具，结合信息的水力模拟结果，空间变化的对象属性和损害函数，以评估洪水损失。它们可以直接处理水力模型包的输出，以计算直接的有形损失、生命风险和单个洪水事件对健康的影响。这些工具还联合收割机结合多个事件的信息来计算预期的年度损失。城市增长模型中的土地覆被类别也可用于评估未来条件下洪水损失的工具。本文介绍了实现的算法，其应用在孟加拉国的大城市达卡的结果。讨论了实际应用中的复杂性和技术问题，并提出了解决方案。虽然它是很难获得可靠的数据模型验证，空间分辨率和输入参数的结果的敏感性进行了研究，以证明该工具可以提供强大的估计，即使与粗数据分辨率，当使用一个精细的掩蔽单元格的大小。这些工具设计灵活，因此也可用于评估不同的灾害影响，并易于在各种GIS平台中采用。
In this paper, a set of GIS-based tools is presented that combines information from hydraulic modelling results, spatially varied object attributes and damage functions to assess flood damage. They can directly process the outputs of hydraulic modelling packages to calculate the direct tangible damage, the risk to life, and the health impact of individual flood events. The tools also combine information from multiple events to calculate the expected annual damage. The land cover classes from urban growth models can be also used in the tools to assess flood damage under future conditions. This paper describes the algorithms implemented, and the results of their application in the mega city of Dhaka in Bangladesh. Complications and technical issues in real-world applications are discussed, and their solutions are also presented. Although it is difficult to obtain reliable data for model validation, the sensitivity of the results to spatial resolution and input parameters is investigated to demonstrate that the tools can provide robust estimations even with coarse data resolution, when a fine masking cell size is used. The tools were designed to be flexible, so that they can also be used to evaluate different hazard impacts, and adopted in various GIS platforms easily.