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Open AccessArticle

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

by Qiqi Yang 1,2,3, Qiang Dai 1,2,3,*, Dawei Han 2, Xuehong Zhu 1,3 and Shuliang Zhang 1,3,*
1
Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210023, China
2
Water and Environmental Management Research Centre, Department of Civil Engineering, University of Bristol, Bristol BS8 1TR, UK
3
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
*
Authors to whom correspondence should be addressed.
Water 2018, 10(5), 645; https://doi.org/10.3390/w10050645
Received: 18 April 2018 / Revised: 12 May 2018 / Accepted: 15 May 2018 / Published: 16 May 2018
(This article belongs to the Section Urban Water Management)
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. View Full-Text
Keywords: storm sewer network; flood simulation; stroke; sensitivity; generalization storm sewer network; flood simulation; stroke; sensitivity; generalization
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Yang, Q.; Dai, Q.; Han, D.; Zhu, X.; Zhang, S. Impact of the Storm Sewer Network Complexity on Flood Simulations According to the Stroke Scaling Method. Water 2018, 10, 645.

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