JBA Trust Challenge: A Risk-based Analysis of Small Scale, Distributed,“Nature-based” Flood Risk Management Measures Deployed on River Networks
JBA Trust Challenge: A Risk-based Analysis of Small Scale, Distributed,“Nature-based” Flood Risk Management Measures Deployed on River Networks
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JBA Trust 挑战：对河网部署的小规模、分布式、“基于自然”的洪水风险管理措施进行基于风险的分析
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
C. Wong
中科院分区：
文献类型：
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作者：
S. Cabaneros;Federico Danieli;G. Formetta;R. Gonzalez;M. Grinfeld;B. Hankin;I. Hewitt;Teague Johnstone;A. Kamilova;Attila Kovacs;A. Kretzschmar;K. Kiradjiev;S. Pegler;G. Sander;C. Wong
我们开发了一个基于网络的模型的集水盆地，结合了小规模径流衰减功能（“漏坝”）的网络的每个边缘的可能性。该模型是由一个规定的径流迫使每个节点，并预测整个网络的流量的时间序列。它可用于分析在特定网络位置增加大坝的收益和风险。我们使用理想化的一维和二维网络演示了该模型，并探讨了级联故障的风险。我们讨论了制定一个优化问题，以决定最好的大坝安置为一个给定的集水区，并为未来的发展方向提出建议。
We develop a network-based model of a catchment basin that incorporates the possibility of small-scale runoff attenuation features (‘leaky dams’) on each of the edges of the network. The model is forced by a prescribed runoff to each node and predicts the time series of discharge throughout the network. It can be used to analyse the benefit and risk associated with adding dams at specific network locations. We demonstrate the model using idealised one-dimensional and two-dimensional networks, and explore the risk of cascade failure. We discuss the formulation of an optimisation problem to decide on the best dam placements for a given catchment, and give suggestions for future directions.