Technical Papers
Jul 27, 2021

Approximate Method for Evaluating the Drainage Process of an Urban Pipe Network with Unavailable Data

Publication: Journal of Irrigation and Drainage Engineering
Volume 147, Issue 10

Abstract

Because drainage network data is unavailable in many urban areas, the accuracy of urban flood simulation may be reduced. A linear reservoir method is proposed to characterize the drainage capacity of a pipe network, and a high-resolution hydrodynamic model of an urban surface and drainage pipe network is developed. Remote sensing satellites, design specifications, and other methods were combined with actual surveys to identify storm wells and generalize underground drainage systems. A high-resolution digital elevation model (DEM) that can represent the microscopic characteristics of the urban surface was used as an input. The process of water accumulation was investigated in the study area, and the results were validated with measured data. The results show that the simulated data agree well with the measured data. Overall, the model and method can quickly and accurately simulate large-scale high-resolution urban rainfall-runoff processes.

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Data Availability Statement

All data used in this research are available, including flow data, terrain data, pipe network data, measured water data, etc.

Acknowledgments

This work was partially supported by the National Key Research and Development Program of China (2016YFC0402704), the National Natural Science Foundation of China (51609199), the Shaanxi International Science, Technology Foundation of China (Grant No. 2017KW-014), the Water Conservancy Science and Technology Project of Shaanxi Province (Grant No. 2017slkj-14), and the Basic Research on The Sponge City of Fengxi New Town in Xixian New Area (2018610002000097). Jingming Hou and Dong Yang contributed equally to this work.

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Information & Authors

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Published In

Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 147Issue 10October 2021

History

Received: Sep 9, 2020
Accepted: Jun 1, 2021
Published online: Jul 27, 2021
Published in print: Oct 1, 2021
Discussion open until: Dec 27, 2021

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Jingming Hou [email protected]
Professor, State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi’an Univ. of Technology, No. 5 Jinhua Rd., Xi’an 710048, China. Email: [email protected]
Master Student, Hunan Architectural Design Institute Limited Company, Fuxiang Rd., Yuelu District, Changsha 41000, China (corresponding author). Email: [email protected]; [email protected]
Ph.D. Student, State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi’an Univ. of Technology, No. 5 Jinhua Rd., Xi’an 710048, China. Email: [email protected]
Ganggang Bai [email protected]
Master Student, State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi’an Univ. of Technology, No. 5 Jinhua Rd., Xi’an 710048, China. Email: [email protected]
Junqiang Xia [email protected]
Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan, Hubei Province 430064, China. Email: [email protected]
Zhaofeng Wang [email protected]
Professor, Qingyang Municipal Housing and Urban and Rural Construction Bureau, Qingyang City, Gansu Province 745000, China. Email: [email protected]
Professor, Power China Northwest Engineering Corporation Limited, Xi’an, Shaanxi Province 710065, China. Email: [email protected]

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Cited by

  • Review of Urban Flood Resilience: Insights from Scientometric and Systematic Analysis, International Journal of Environmental Research and Public Health, 10.3390/ijerph19148837, 19, 14, (8837), (2022).
  • The effect of spatial–temporal characteristics of rainfall on urban inundation processes, Hydrological Processes, 10.1002/hyp.14655, 36, 8, (2022).

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