Drainage representation in flood models: Application and analysis of capacity assessment framework
Drainage representation in flood models: Application and analysis of capacity assessment framework
复制标题
洪水模型中的排水表示：能力评估框架的应用和分析
DOI：
10.1016/j.jhydrol.2023.129718
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发表时间：
2023
影响因子：
6.4
通讯作者：
Singh A
中科院分区：
文献类型：
--
作者：
Singh A
排水系统是城市基础设施的组成部分，有助于运输和处理废水，并在极端降雨事件期间管理洪水。尽管排水系统的创建、运行和维护需要大量的成本，但这些系统在洪水模型中的表示过于简化。这种简化是由于数据保护法规以及与排水网络建模相关的复杂性。英国水务公司与环境署和英国排水管理计划的污水处理商合作开发的一个新框架提供了有关排水系统容量和性能的数据。从这个框架的输出提供了一个新的方法，将一个更明确的表示空间变化的排水能力在洪水models.This研究提出了第一个应用程序的英国的能力评估框架（CAF）的排水表示洪水models. This。我们开发了一种方法，使用的CAF输出代表空间变化的流域排水损失，并评估其对洪水风险的影响。利兹的三个集水区被用来量化使用全国平均去除率（NARR，例如，12毫米/小时）和我们的CAF导出的降雨去除率。虽然有跨集水区的方差，结果表明，CAF去除率增加洪水深度，速度和洪水灾害相比，由于一个更现实的代表性的真实的系统排水能力的全国平均水平。随着气候变化和城市持续发展的压力，更好地反映真实的排水系统能力将变得更加重要，并将使当地解决方案更具弹性，更符合当地的现实。
Drainage systems are an integral part of urban infrastructure to help transport and treat wastewater as well as manage flooding during extreme rainfall events. Although there is a significant cost associated with the creation, operation and maintenance of drainage systems, the representation of these systems in flood models is overly simplified. This simplification is due to data protection regulations, and the complexities associated with drainage network modelling. A new framework developed by Water UK in collaboration with the Environmental Agency and sewerage undertakers for UK Drainage Water Management Plans provides data on the capacity and performance of the drainage system. The output from this framework provides a new method of incorporating a more explicit representation of spatially varied drainage capacity in flood models.This study presents the first application of the UK’s capacity assessment framework (CAF) for drainage representation in flood models. We develop a method of using the CAF outputs to represent spatially varied drainage losses across a catchment and assess its impact on flood risk. Three catchments in Leeds are used to quantify the difference generated in flooding when using a national average removal rate (NARR, e.g., 12 mm/hr) and our CAF-derived rainfall removal rates. Although there is variance across catchments, the results show the CAF removal rates increase flood depths, velocities, and flood hazards when compared to the national average due to a more realistic representation of the real system drainage capacity. With the pressures of climate change and continued urban development, a better representation of real drainage systems capacities will become more important and will make local solutions more resilient and relevant to the realities on the ground.