Impact of the Storm Sewer Network Complexity on Flood Simulations According to the Stroke Scaling Method

Impact of the Storm Sewer Network Complexity on Flood Simulations According to the Stroke Scaling Method
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根据行程缩放法,雨水管网复杂性对洪水模拟的影响

DOI:
10.3390/w10050645
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发表时间:
2018-05
期刊:
影响因子:
3.4
通讯作者:
Zhang Shuliang
Zhang Shuliang
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Yang Qiqi;Dai Qiang;Han Dawei;Zhu Xuehong;Zhang Shuliang

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对于城市流域,雨水管网为洪水模拟提供了不可或缺的数据,但往往需要简化,以平衡大量数据和当前计算能力之间的冲突。洪水模拟的数据精度的雨水管道网络的敏感性需要进行探讨,以制定合理的推广策略。在这项研究中,使用行程缩放方法概括的雨水管网的洪水模拟的影响进行了分析的总流入量的排水口和洪水的结果。三个研究流域的结果表明,不同的复杂性的污水管网没有一个单一的排水系统的区域,但有多个排水系统的区域的排污口的总流入量的显着影响。此外,严重的水浸主要分布在骨干管道,这可以与简化的污水管网。针对排水管网的分布特点和应用需求,提出了几种有效的综合策略。该研究对于深入认识洪水模拟的数据敏感性具有重要的理论意义,对于提高城市洪水模拟的效率和精度具有重要的实践意义。
For urban watersheds, the storm sewer network provides indispensable data for flood modeling but often needs to be simplified to balance the conflict between the large amount of data and current computing power. The sensitivity of a flood simulation to the data precision of a storm sewer network needs to be explored to develop reasonable generalization strategies. In this study, the impact of using the stroke scaling method to generalize a storm sewer network on a flood simulation was analyzed in terms of the total inflow of the outfalls and flood results. The results of the three study basins showed that different complexities of a sewer network did not have a significant effect on the outfall’s total inflow for an area with a single drainage system but did for an area with multiple drainage systems. In addition, serious flooding was mainly distributed at the backbone pipes, which can be identified with the simplified sewer network. Several effective generalization strategies were developed for sewer networks that consider the distribution characteristics of the drainage system and application requirements. This study is theoretically important for better understanding the data sensitivity of flood modeling and simulation and practically important for improving the modeling efficiency and the accuracy of urban flood simulation.
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