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A Network Theoretical Approach to Identify Vulnerabilities of Urban Drainage Networks Against Structural Failures

机译:网络理论方法识别城市排水管网对结构性破坏的脆弱性

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This paper compares two different representations (primal-mapping and dual-mapping) and applies a range of topological metrics to analysis the vulnerability of an urban drainage network (UDN) against structural failures, which is examined in the Elster Creek catchment. Based on the node degree distribution, the properties of the dual graph are similar to a scale-free network while the primal graph behaves like a random network. Further, the results show that the structure of the dual graph has better connectivity and redundancy compared to the structure of the primal graph. To identify vulnerabilities this paper test's a new centrality metrics, that modifies betweenness centrality based on the UDN's performance. This new metric ranks the most vulnerable conduit in the UDN. To validate the ranking a hydrodynamic model is used as a reference. The results show the significance of the structural metric in identifying critical components of the UDN and suggest a dual representation is an appropriate method for investigating vulnerabilities of an UDN against structural failures.
机译:本文比较了两种不同的表示形式(原始映射和双重映射),并应用了一系列拓扑指标来分析城市排水管网(UDN)抵抗结构破坏的脆弱性,该脆弱性在Elster Creek流域进行了研究。基于节点度分布,对偶图的属性类似于无标度网络,而原始图的行为类似于随机网络。此外,结果表明,与原始图的结构相比,对偶图的结构具有更好的连通性和冗余性。为了识别漏洞,本文测试了一种新的中心性指标,该指标根据UDN的性能修改了中间性中心性。此新指标对UDN中最脆弱的渠道进行了排名。为了验证排名,可以使用水动力模型作为参考。结果表明,结构度量在识别UDN的关键组件方面具有重要意义,并建议采用双重表示法是调查UDN针对结构故障的漏洞的适当方法。

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