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Identifying Risk Components Using a Sewer-Road Integrated Urban Stormwater Model

Author

Listed:
  • Chen Shen

    (Beijing Jiaotong University
    University of Cincinnati)

  • Haishan Xia

    (Beijing Jiaotong University)

  • Xin Fu

    (Northwest A&F University)

  • Xinhao Wang

    (University of Cincinnati)

  • Weiping Wang

    (Beijing Normal University)

Abstract

Disasters caused by heavy rainfalls are of growing concern to researchers and government officials. While many studies have provided details of rainstorm-induced risks and efficient strategies for stormwater management, there is still a lack of attention to how the interactions between urban sewer systems and road networks during precipitation events affect sewer system performance and road inundation. To fill this gap, we have developed an integrated model that combines hydraulic characteristics and the topological structure of a sewer-road network system to explore the behaviour of these two interdependent systems and identify risk components during precipitation events. We apply the model to a watershed during different return periods of precipitation events in Cincinnati, Ohio, USA. The results reveal that the behaviour of some inconspicuous pipes has a significant impact on the sewer-road network system, resulting in a significant decrease in the system performance. Moreover, the interactions between road and sewer networks create multiple microstructures of connected components, which leads to different risks of interdependent systems and road inundations. The modelling results provide target areas for mitigation projects to reduce rainstorm-induced risks.

Suggested Citation

  • Chen Shen & Haishan Xia & Xin Fu & Xinhao Wang & Weiping Wang, 2024. "Identifying Risk Components Using a Sewer-Road Integrated Urban Stormwater Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(8), pages 3049-3070, June.
    • Handle: RePEc:spr:waterr:v:38:y:2024:i:8:d:10.1007_s11269-024-03804-0
    DOI: 10.1007/s11269-024-03804-0
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    References listed on IDEAS

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    1. Quan Mao & Nan Li, 2018. "Assessment of the impact of interdependencies on the resilience of networked critical infrastructure systems," 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. 93(1), pages 315-337, August.
    2. Weiping Wang & Saini Yang & H. Eugene Stanley & Jianxi Gao, 2019. "Local floods induce large-scale abrupt failures of road networks," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    3. Wang, Weiping & Yang, Saini & Hu, Fuyu & Stanley, H. Eugene & He, Shuai & Shi, Mimi, 2018. "An approach for cascading effects within critical infrastructure systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 164-177.
    4. Qingyu Huang & Jun Wang & Mengya Li & Moli Fei & Jungang Dong, 2017. "Modeling the influence of urbanization on urban pluvial flooding: a scenario-based case study in Shanghai, China," 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. 87(2), pages 1035-1055, June.
    5. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
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    Cited by:

    1. Xuan Wang & Jiaxin Yan & Yong Liu & Zhipeng Liu & Shixiang Kuang & Jinsuo Lu, 2025. "A Hybrid-fidelity Modeling Approach for Evaluating Flooding Risk in Large Urban Infrastructures," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(7), pages 3053-3069, May.

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