A cost-benefit 'source-receptor' framework for implementation of Blue-Green flood risk management
A cost-benefit 'source-receptor' framework for implementation of Blue-Green flood risk management
复制标题
实施蓝绿洪水风险管理的成本效益“源-受体”框架
DOI：
10.1016/j.jhydrol.2024.131113
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发表时间：
2024
影响因子：
6.4
通讯作者：
Iliadis C
中科院分区：
文献类型：
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作者：
Iliadis C
由于洪水是城市地区的一个主要和日益严重的风险来源，因此有必要通过规划干预措施来改善洪水风险管理框架和民事保护，以改变地表水流路径并引入蓄水。尽管密集城市化地区（地形，建筑物，绿色空间，道路）的复杂性，现代洪水模型可以代表城市特征和流动特征，以帮助研究人员，地方当局和保险公司开发和改进有效的洪水风险框架，以实现城市的弹性。在这项研究中，开发了一个成本效益驱动的“源-受体”洪水风险框架，以确定（1）导致地表洪水的位置（源），（2）高洪水风险的建筑物和位置（受体），（3）“源”和“受体”之间的成本效益关系，以及（4）通过在关键位置增加蓝绿基础设施（BGI）来减轻“受体”洪水的方法。该分析基于五个步骤，根据建筑物的洪水暴露，洪水造成的损害和可用的绿色空间来确定研究区域的“源”和“受体”，最有可能增加可持续和弹性的解决方案，以减少洪水。该框架的开发使用详细的流体动力学模型CityCAT在泰恩河畔的纽卡斯尔，英国的城市中心的案例研究。这种分析的新奇在于，首先，多个风暴量级（即小洪水和大洪水）与定位洪水风险区域和建筑物的方法相结合，以及一组优先的最佳位置，以增加上游和下游的干预措施。其次，规划决策考虑到减少财产损失的好处和建设弹性BGI选项的成本，而不是仅考虑洪水深度和存储的限制性水力分析，与真实的世界经济隔离。
As floods are a major and growing source of risk in urban areas, there is a necessity to improve flood risk management frameworks and civil protection through planning interventions that modify surface flow pathways and introduce storage. Despite the complexity of densely urbanised areas (topography, buildings, green spaces, roads), modern flood models can represent urban features and flow characteristics in order to help researchers, local authorities, and insurance companies to develop and improve efficient flood risk frameworks to achieve resilience in cities. A cost-benefit driven‘source-receptor’flood risk framework is developed in this study to identify (1) locations contributing to surface flooding (sources), (2) buildings and locations at high flood risk (receptors), (3) the cost-benefit nexus between the‘source’and the‘receptor’, and finally (4) ways to mitigate flooding at the‘receptor’by adding Blue-Green Infrastructure (BGI) in critical locations. The analysis is based on five steps to identify the‘source’and the‘receptor’in a study area based on the flood exposure of buildings, damages arising from flooding and available green spaces with the best potential to add sustainable and resilient solutions to reduce flooding. The framework was developed using the detailed hydrodynamic model CityCAT in a case study of the city centre of Newcastle upon Tyne, UK. The novelty of this analysis is that firstly, multiple storm magnitudes (i.e. small and large floods) are used combined with a method to locate the areas and the buildings at flood risk and a prioritized set of best places to add interventions upstream and downstream. Secondly, planning decisions are informed by considering the benefit from reduced damages to properties and the cost to construct resilient BGI options rather than a restricted hydraulic analysis considering only flood depths and storages in isolation from real world economics.