Leaky barriers have become an important mitigation option within natural flood management to reduce downstream flood risk. Modelling is a key tool to aid in the design of leaky barrier installations for flood mitigation, but there is limited evidence about the accuracy of model representations of the system. Here, the hydrological model SWAT was combined with a water routing model that simulates multiple leaky barriers as permeable sluice gates. Storage behind individual barriers was quantified using barrier dimensions and LIDAR topography. The model was applied to a series of 27 leaky barriers installed as part of a long-term manipulation experiment into a 11-km² intensive lowland agricultural catchment in Leicestershire, England. Evaluation of the model against flow data collected before and after leaky barrier installation and time-lapse photography taken across storm events at individual barriers demonstrated robust model performance (Nash-Sutcliffe efficiency and R² across 19 validation events were 0.84 ± 0.14 and 0.91 ± 0.08, respectively). Empirical and modelling data were then combined to demonstrate that the 17,700 m³ of water storage provided by the 27 leaky barriers reduced peak flows at the catchment outlet by 22 ± 6% and delayed the peak in flow by up to 5 h for 11 storm events recorded after all barriers had been installed. The volume of storage utilised prior to the flood event was a key factor influencing the reduction in peak flow, and a sensitivity analysis indicated that barriers should be permeable to accelerate drain-down of the barrier and help to mitigate risk from multiple storm events occurring in sequence.

中文翻译：

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量化渗漏屏障作为农业景观防洪干预措施有效性的模型

渗漏屏障已成为自然洪水管理中减少下游洪水风险的重要缓解方案。建模是帮助设计防洪漏水屏障装置的关键工具，但有关系统模型表示准确性的证据有限。在这里，水文模型 SWAT 与水路由模型相结合，将多个渗漏屏障模拟为透水闸门。使用屏障尺寸和激光雷达地形来量化各个屏障后面的存储。该模型应用于一系列 27 个渗漏屏障，这些屏障是英国莱斯特郡11 公里^{2集约低地农业流域长期操纵实验的一部分。}根据泄漏屏障安装之前和之后收集的流量数据以及在各个屏障的风暴事件中拍摄的延时摄影对模型进行的评估证明了强大的模型性能（19 个验证事件中的 Nash-Sutcliffe 效率和R ²分别为 0.84 ± 0.14 和 0.91 ± 0.08 ， 分别）。然后将经验数据和模型数据结合起来，证明 27 个渗漏屏障提供的 17,700 m ³蓄水量使集水区出口的峰值流量减少了 22 ± 6%，并将 11 次风暴事件的峰值流量延迟了长达 5 小时。安装所有障碍后进行记录。洪水事件前使用的蓄水量是影响峰值流量减少的关键因素，敏感性分析表明，屏障应具有渗透性，以加速屏障的排水，并有助于减轻发生在多个风暴事件中的风险。顺序。