{"title":"Green infrastructure layout based on a dynamic operation feature of drainage systems","authors":"Chen Shen, Xin Dong, Luyao Wang, Xinhao Wang","doi":"10.2166/wst.2024.169","DOIUrl":null,"url":null,"abstract":"\n \n Increasingly frequent urban floods strain the traditional grey infrastructure, overwhelming the capacity of drainage networks and causing challenges in managing stormwater. The heavy precipitation leads to flooding and damage to drainage systems. Consequently, efficient mitigation strategies for flooding have been researched deeply. Green infrastructure (GI) has proved to be effective in responding the increasing risk of flood and alleviate pressure on drainage systems. However, as the primary infrastructure of stormwater management, there is still a lack of attention to the dynamic operation feature of urban sewer systems during precipitation events. To fill this gap, we proposed a novel approach that integrates hydraulic characteristics and the topological structure of a sewer network system. This approach aims to identify influential nodes, which contribute to the connectivity of the sewer network amidst dynamic changes in inflow during precipitation events. Furthermore, we adopted rain barrels to serve as exemplars of GI, and 14 GI layout schemes are produced based on the different ranks of influential nodes. Implementing GI measures on both poorly performing and well-performing nodes can yield distinct benefits in mitigating node flooding. This approach provides a new perspective for stormwater management, establishing effective synergy between GI and the drainage system.","PeriodicalId":298320,"journal":{"name":"Water Science & Technology","volume":"8 8","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Science & Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2166/wst.2024.169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Increasingly frequent urban floods strain the traditional grey infrastructure, overwhelming the capacity of drainage networks and causing challenges in managing stormwater. The heavy precipitation leads to flooding and damage to drainage systems. Consequently, efficient mitigation strategies for flooding have been researched deeply. Green infrastructure (GI) has proved to be effective in responding the increasing risk of flood and alleviate pressure on drainage systems. However, as the primary infrastructure of stormwater management, there is still a lack of attention to the dynamic operation feature of urban sewer systems during precipitation events. To fill this gap, we proposed a novel approach that integrates hydraulic characteristics and the topological structure of a sewer network system. This approach aims to identify influential nodes, which contribute to the connectivity of the sewer network amidst dynamic changes in inflow during precipitation events. Furthermore, we adopted rain barrels to serve as exemplars of GI, and 14 GI layout schemes are produced based on the different ranks of influential nodes. Implementing GI measures on both poorly performing and well-performing nodes can yield distinct benefits in mitigating node flooding. This approach provides a new perspective for stormwater management, establishing effective synergy between GI and the drainage system.
日益频繁的城市洪水使传统的灰色基础设施不堪重负,排水网络不堪重负,给雨水管理带来挑战。强降水会导致洪水泛滥,损坏排水系统。因此,人们一直在深入研究有效的洪水缓解策略。事实证明,绿色基础设施(GI)可以有效地应对不断增加的洪水风险,减轻排水系统的压力。然而,作为雨水管理的主要基础设施,城市下水道系统在降水事件中的动态运行特征仍然缺乏关注。为了填补这一空白,我们提出了一种将下水道网络系统的水力特征和拓扑结构相结合的新方法。这种方法旨在识别有影响力的节点,这些节点在降水事件期间流入量的动态变化中对下水道网络的连通性做出了贡献。此外,我们还采用雨水桶作为地理信息系统的范例,并根据有影响力节点的不同等级制定了 14 个地理信息系统布局方案。在性能较差和性能较好的节点上实施 GI 措施,可在缓解节点洪水方面产生明显的效益。这种方法为雨水管理提供了一个新的视角,在地理信息系统和排水系统之间建立了有效的协同作用。