瓶颈
内涝(考古学)
排水
管道(软件)
管网分析
上游(联网)
防洪
节点(物理)
计算机科学
环境科学
工程类
土木工程
大洪水
地理
程序设计语言
考古
物理
嵌入式系统
生态学
热力学
生物
湿地
结构工程
计算机网络
作者
Liu Yang,Weigao Zhao,Yalong Wei,Fiallos Salguero Manuel Sebastian,Mingna Wang
标识
DOI:10.1016/j.jclepro.2023.137950
摘要
Reconstruction of the drainage system is an important measure for urban waterlogging control. For the drainage system of the community, factors such as upstream pipeline water capacity and downstream bottleneck pipeline are often neglected in the process of network reconstruction. Only the network in the waterlogged area is reformed, which is lack of systematicness, and may lead to the failure of waterlogging control. To solve this problem, the Storm Water Management Model (SWMM 5.1) is used to analyze the rationality of the current pipe network reconstruction methods using three indicators: the maximum overflow depth, the maximum overflow volume, and the conduit surcharge. And a new reconstruction method for drainage pipe networks is developed by R programming. The results show that the current pipe network reconstruction method is still insufficient to achieve the goal of eliminating node overflow. For different rainfall conditions, there are still existing low-risk areas, with maximum overflow depth can reach up to 0.15 m and maximum overflow volume can reach up to 7.12 m3. The novel developed drainage pipe network reconstruction method (optimizing pipe network) can effectively identify the bottleneck pipes, and by repeatedly expanding the bottleneck pipes, the goal of node overflow can be achieved under a given rainfall event.
科研通智能强力驱动
Strongly Powered by AbleSci AI