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.
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References
Abdulshaheed A, Mustapha F, Ghavamian A (2017) A pressure-based method for monitoring leaks in a pipe distribution system: A Review. Renew Sustain Energy Rev 69:902–911. https://doi.org/10.1016/j.rser.2016.08.024
Alizadeh Z, Yazdi J, Mohammadiun S, Hewage K, Sadiq R (2019) Evaluation of data driven models for pipe burst prediction in urban water distribution systems. Urban Water J 16:136–145. https://doi.org/10.1080/1573062X.2019.1637004
Candelieri A, Conti D, Archetti F (2014) A graph based analysis of leak localization in urban water networks. Procedia Eng 70:228–237. https://doi.org/10.1016/j.proeng.2014.02.026
Chang K, Gao J, Yuan Y, Zhao H (2011) The real time simulation of urban water distribution network based on OPC communication of SCADA. J Harbin Inst Technol 43:63–67
Creaco E, Thomas W (2017) Economic analysis of pressure control for leakage and pipe burst reduction. J Water Resour Plan Manag 143:04017074. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000846
Duan HF, Pan B, Wang ML, Chen L, Zheng FF, Zhang Y (2020) State-of-the-art review on the transient flow modeling and utilization for urban water supply system (UWSS) management. J Water Supply Res Technol-AQUA 69(8):858–893. https://doi.org/10.2166/aqua.2020.048
Farah E, Shahrour I (2017) Leakage detection using smart water system: Combination of water balance and automated minimum night flow. Water Resour Manag 31:4821–4833. https://doi.org/10.1007/s11269-017-1780-9
Fragiadakis M, Christodoulou SE, Vamvatsikos D (2013) Reliability assessment of urban water distribution networks under seismic loads. Water Resour Manag 27:3739–3764. https://doi.org/10.1007/s11269-013-0378-0
Ge HL (2021) Analysis of pipeline reconstruction project of safety hazard rectification project of north line diversion project. Tech Supv Water Resour 211–216. https://doi.org/10.3969/j.issn.1008-1305.2021.08.05
Geelen CVC, Yntema DR, Molenaar J, Keesman KJ (2021) Burst detection by water demand nowcasting based on exogenous sensors. Water Resour Manag 35:1183–1196. https://doi.org/10.1007/s11269-021-02768-9
Hu D, Yao S, Duan C, Li S (2020) Real-time simulation of hydrodynamic and scalar transport in large river-lake systems. J Hydrol 582:124531. https://doi.org/10.1016/j.jhydrol.2019.124531
Jiang Z, Duan J, Xiao Y, He S (2022) Elite collaborative search algorithm and its application in power generation scheduling optimization of cascade reservoirs. J Hydrol 615:1–12. https://doi.org/10.1016/j.jhydrol.2022.128684
Kang D, Lansey K (2014) Novel approach to detecting pipe bursts in water distribution networks. J Water Resour Plan Manag 140:121–127. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000264
Kim S, Jun S, Jung D (2022) Ensemble CNN model for effective pipe burst detection in water distribution systems. Water Resour Manag 36:5049–5061. https://doi.org/10.1007/s11269-022-03291-1
Lee SJ, Lee G, Suh JC, Lee JM (2016) Online burst detection and location of water distribution systems and its practical applications. J Water Resour Plan Manag 142:04015033. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000545
Li J, Zheng W, Lu C (2022) An accurate leakage localization method for water supply network based on deep learning network. Water Resour Manag 36:2309–2325. https://doi.org/10.1007/s11269-022-03144-x
Puust R, Kapelan Z, Savic DA, Koppel T (2010) A review of methods for leakage management in pipe networks. Urban Water J 7:25–45. https://doi.org/10.1080/15730621003610878
Wang S, Jiang Z, Liu Y (2022) Dimensionality reduction method of dynamic programming under hourly scale and its application in optimal scheduling of reservoir flood control. Energies 15:676. https://doi.org/10.3390/en15030676
Zhang L, Jiang Z, He S, Duan J, Wang P, Zhou T (2022) Study on water quality prediction of urban reservoir by Coupled CEEMDAN Decomposition and LSTM neural network model. Water Resour Manag 36(10):3715–3735. https://doi.org/10.1007/s11269-022-03224-y
Zhao J, Bai D, Bai M (2020) Analysis and protection research on hydraulic transition of longdistance diversion pipeline water supply system. Shaanxi Water Resour 131–133+144. https://doi.org/10.16747/j.cnki.cn61-1109/tv.2020
Zhou X, Tang ZH, Xu WR, Meng FL, Chu XW, Xin KL, Fu GT (2019) Deep learning identifies accurate burst locations in water distribution networks. Water Res 166:115058. https://doi.org/10.1016/j.watres.2019.115058
Zhu W, Sun P, Ma YN, Song R, He SW, Liu KH (2012) Study on the fault diagnosis and security guarantee system construction of urban water supply. ICPTT 2012:1362–1369. https://doi.org/10.1061/9780784412619.139
Funding
This study was financially supported by the National Key R&D Program of China (2022YFC3002703), and Natural Science Foundation of China (52179016), Natural Science Foundation of Hubei Province (2021CFB597).
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W.P.F.: data curation, formal analysis, writing – original draft, writing – review & editing; J.Z.Q.: conceptualization, funding acquisition, methodology, supervision; D.J.F: investigation, visualization, writing – original draft.
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Pengfei, W., Zhiqiang, J. & Jiefeng, D. Burst Analysis of Water Supply Pipe Based on Hydrodynamic Simulation. Water Resour Manage 37, 2161–2179 (2023). https://doi.org/10.1007/s11269-023-03485-1
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DOI: https://doi.org/10.1007/s11269-023-03485-1