IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v37y2023i5d10.1007_s11269-023-03485-1.html
   My bibliography  Save this article

Burst Analysis of Water Supply Pipe Based on Hydrodynamic Simulation

Author

Listed:
  • Wang Pengfei

    (Huazhong University of Science and Technology)

  • Jiang Zhiqiang

    (Huazhong University of Science and Technology)

  • Duan Jiefeng

    (Huazhong University of Science and Technology)

Abstract

The safe and stable operation of the urban water supply network system is vital for the development of the city and people's daily life. However, the aging and damage of some pipelines are inevitable as time passed by. Accidents, such as pipe bursting, will happen if the maintenance is not timely or not in place. Aiming at the emergency event of the water supply pipe network burst, this paper took the main water supply line of Shenzhen North Line as an example, and established a one-dimensional (1D) hydrodynamic model suitable for both pressurized water flow and free surface water flow. The rationality and effectiveness of the model were verified through the analysis of the simulation results (water level, flow, water head, etc. at each section) under normal conditions. The 1D hydrodynamic pipe network model under burst conditions was constructed based on the normal conditions. The flow stability time of the burst position obtained by the model is 24100 s in which the water supply flow is reduced to 0m3/s after the pipe burst, and flow stability time of the pipe section is positively correlated with the distance of the pipe section according to entrance. By assuming different burst sections, the correlation between the distance of the inlet section of the burst stability time pipeline after the burst at different positions was simulated. The research results can provide strong data support for emergency maintenance decisions if a pipe burst has happened and it also provides an idea for the hydrodynamic modeling of pipeline network emergencies.

Suggested Citation

  • Wang Pengfei & Jiang Zhiqiang & Duan Jiefeng, 2023. "Burst Analysis of Water Supply Pipe Based on Hydrodynamic Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 2161-2179, March.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:5:d:10.1007_s11269-023-03485-1
    DOI: 10.1007/s11269-023-03485-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-023-03485-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-023-03485-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Elias Farah & Isam Shahrour, 2017. "Leakage Detection Using Smart Water System: Combination of Water Balance and Automated Minimum Night Flow," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4821-4833, December.
    2. Lei Zhang & Zhiqiang Jiang & Shanshan He & Jiefeng Duan & Pengfei Wang & Ting Zhou, 2022. "Study on Water Quality Prediction of Urban Reservoir by Coupled CEEMDAN Decomposition and LSTM Neural Network Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3715-3735, August.
    3. Sehyeong Kim & Sanghoon Jun & Donghwi Jung, 2022. "Ensemble CNN Model for Effective Pipe Burst Detection in Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 5049-5061, October.
    4. Juan Li & Wenjun Zheng & Changgang Lu, 2022. "An Accurate Leakage Localization Method for Water Supply Network Based on Deep Learning Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2309-2325, May.
    5. Michalis Fragiadakis & Symeon Christodoulou & Dimitrios Vamvatsikos, 2013. "Reliability Assessment of Urban Water Distribution Networks Under Seismic Loads," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3739-3764, August.
    6. Suiling Wang & Zhiqiang Jiang & Yi Liu, 2022. "Dimensionality Reduction Method of Dynamic Programming under Hourly Scale and Its Application in Optimal Scheduling of Reservoir Flood Control," Energies, MDPI, vol. 15(3), pages 1-17, January.
    7. Caspar V. C. Geelen & Doekle R. Yntema & Jaap Molenaar & Karel J. Keesman, 2021. "Burst Detection by Water Demand Nowcasting Based on Exogenous Sensors," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(4), pages 1183-1196, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Allison Lassiter & Nicole Leonard, 2022. "A systematic review of municipal smart water for climate adaptation and mitigation," Environment and Planning B, , vol. 49(5), pages 1406-1430, June.
    2. Aditya Gupta & K. D. Kulat, 2018. "A Selective Literature Review on Leak Management Techniques for Water Distribution System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3247-3269, August.
    3. Jiajia Wu & Donghui Ma & Wei Wang & Zhao Han, 2020. "Research on Sensor Placement for Disaster Prevention in Water Distribution Networks for Important Users," Sustainability, MDPI, vol. 12(2), pages 1-16, January.
    4. Koo, A Mi & Kim, Ju-Hee & Yoo, Seung-Hoon, 2022. "Household willingness to pay for a smart water metering and monitoring system: The case of South Korea," Utilities Policy, Elsevier, vol. 79(C).
    5. Peiqiang Gao & Wenfeng Du & Qingwen Lei & Juezhi Li & Shuaiji Zhang & Ning Li, 2023. "NDVI Forecasting Model Based on the Combination of Time Series Decomposition and CNN – LSTM," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(4), pages 1481-1497, March.
    6. Chen, Shuang & Hu, Minghui & Guo, Shanqi, 2023. "Fast dynamic-programming algorithm for solving global optimization problems of hybrid electric vehicles," Energy, Elsevier, vol. 273(C).
    7. Yong Huang & Kehan Miao & Xiaoguang Liu & Yin Jiang, 2022. "The Hysteresis Response of Groundwater to Reservoir Water Level Changes in a Plain Reservoir Area," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4739-4763, September.
    8. Ailing Xu & Li Mo & Qi Wang, 2022. "Research on Operation Mode of the Yalong River Cascade Reservoirs Based on Improved Stochastic Fractal Search Algorithm," Energies, MDPI, vol. 15(20), pages 1-19, October.
    9. Carlo Giudicianni & Manuel Herrera & Armando Nardo & Kemi Adeyeye, 2020. "Automatic Multiscale Approach for Water Networks Partitioning into Dynamic District Metered Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 835-848, January.
    10. Zhimin Luo & Jinlong Ma & Zhiqiang Jiang, 2022. "Research on Power System Dispatching Operation under High Proportion of Wind Power Consumption," Energies, MDPI, vol. 15(18), pages 1-17, September.
    11. Alena Vagaská & Miroslav Gombár & Ľuboslav Straka, 2022. "Selected Mathematical Optimization Methods for Solving Problems of Engineering Practice," Energies, MDPI, vol. 15(6), pages 1-22, March.
    12. Irene Marzola & Stefano Alvisi & Marco Franchini, 2022. "A Comparison of Model-Based Methods for Leakage Localization in Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5711-5727, November.
    13. Alessandro Pagano & Raffaele Giordano & Ivan Portoghese & Umberto Fratino & Michele Vurro, 2014. "A Bayesian vulnerability assessment tool for drinking water mains under extreme events," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(3), pages 2193-2227, December.
    14. Yichao Xu & Yi Liu & Zhiqiang Jiang & Xin Yang & Xinying Wang & Yunkang Zhang & Yangyang Qin, 2022. "Improved Convolutional Neural Network and its Application in Non-Periodical Runoff Prediction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 6149-6168, December.
    15. Agathoklis Agathokleous & Chrystalleni Christodoulou & Symeon E. Christodoulou, 2017. "Topological Robustness and Vulnerability Assessment of Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 4007-4021, September.
    16. Sehyeong Kim & Sanghoon Jun & Donghwi Jung, 2022. "Ensemble CNN Model for Effective Pipe Burst Detection in Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 5049-5061, October.
    17. Tariq Judeh & Isam Shahrour & Fadi Comair, 2022. "Smart Rainwater Harvesting for Sustainable Potable Water Supply in Arid and Semi-Arid Areas," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    18. Alessandro Pagano & Irene Pluchinotta & Raffaele Giordano & Anna Bruna Petrangeli & Umberto Fratino & Michele Vurro, 2018. "Dealing with Uncertainty in Decision-Making for Drinking Water Supply Systems Exposed to Extreme Events," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(6), pages 2131-2145, April.
    19. Chongxun Mo & Changhao Jiang & Xingbi Lei & Weiyan Cen & Zhiwei Yan & Gang Tang & Lingguang Li & Guikai Sun & Zhenxiang Xing, 2023. "Optimal Scheduling of Reservoir Flood Control under Non-Stationary Conditions," Sustainability, MDPI, vol. 15(15), pages 1-22, July.
    20. Sungsik Yoon & Young-Joo Lee & Hyung-Jo Jung, 2020. "Flow-Based Optimal System Design of Urban Water Transmission Network under Seismic Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 1971-1990, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:37:y:2023:i:5:d:10.1007_s11269-023-03485-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.