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Coupling infrastructure resilience and flood risk assessment via copulas analyses for a coastal green-grey-blue drainage system under extreme weather events

机译:通过copulas分析耦合基础设施的复原力和洪水风险评估,以应对极端天气事件下的沿海绿灰蓝排水系统

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摘要

This study sheds light on the coupling of potential flood risk and drainage infrastructure resilience of low-lying areas of a coastal urban watershed to evaluate flood hazards and their possible driving forces. Copulas analyses with the aid of joint probability of simultaneous occurrence help characterize the complexity for hazard classification based on subsequent exposure to inundation under varying levels of adaptive capacity. Adaptive measures of consideration include traditional flood proofing structures and low impact development facilities for a coastal urban watershed - the Cross Bayou watershed, near Tampa Bay, Florida. Findings indicate that coupling flood risk and infrastructure resilience is achievable through the careful formulation of flood risk associated with a resilience metric, which is a function of the predicted hazards, vulnerability, and adaptive capacity. The results also give insights into improving existing methodologies for municipalities in flood management practices such as incorporating a multicriteria flood impact assessment that couples risk and resilience in a common evaluation framework. (c) 2017 Elsevier Ltd. All rights reserved.
机译:这项研究揭示了潜在的洪水风险与沿海城市流域低洼地区的排水基础设施恢复力之间的耦合,以评估洪水灾害及其可能的驱动力。 Copulas分析在同时发生的联合概率的帮助下,基于随后在不同适应能力水平下遭受淹没的风险,有助于表征危害分类的复杂性。考虑的适应性措施包括传统的防洪结构和沿海城市流域的低影响开发设施-佛罗里达坦帕湾附近的克罗斯巴尤流域。研究结果表明,通过精心制定与弹性指标相关的洪水风险,可以将洪水风险与基础设施的弹性相结合,这是预测的危害,脆弱性和适应能力的函数。结果还为改进市政当局在洪水管理实践中的现有方法提供了见识,例如将多标准洪水影响评估纳入风险评估和应变能力,并纳入一个共同的评估框架。 (c)2017 Elsevier Ltd.保留所有权利。

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