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Intelligent Scheduling of Urban Drainage Systems: Effective Local Adaptation Strategies for Increased Climate Variability

Author

Listed:
  • Kun Xie

    (Wuhan University)

  • Jong-Suk Kim

    (Wuhan University)

  • Linjuan Hu

    (Water Resources Bureau of Chenzhou)

  • Hua Chen

    (Wuhan University)

  • Chong-Yu Xu

    (University of Oslo)

  • Jung Hwan Lee

    (K-Water Research Institute)

  • Jie Chen

    (Wuhan University)

  • Sun-Kwon Yoon

    (Seoul Institute of Technology)

  • Di Zhu

    (Wuhan University)

  • Shaobo Zhang

    (Wuhan University)

  • Yang Liu

    (Wuhan University)

Abstract

Intelligent scheduling of urban drainage systems is generally regarded as a potentially sustainable strategy for urban flood management. To investigate the effectiveness of the intelligent scheduling strategy in mitigating urban flooding, a new intelligent scheduling model (ISM) that couples the Storm Water Management Model (SWMM) and a multiobjective particle swarm optimization algorithm is proposed for a simulation–optimization framework. The objectives of the ISM are to minimize the flooding volume, front-pool water level fluctuation, and operational cost. Synthetic rainfall events with different durations and return periods based on the Gumbel distribution and observed rainfall events are utilized to comprehensively assess the designed model's performance in the Dealim3 catchment, South Korea. The selected ISM-based scheduling strategies are assessed in accordance with climate change mitigation (i.e., reducing greenhouse gas emissions) and local adaptation strategies (i.e., improving drainage systems). The results indicate that these strategies generated by ISM lead to reductions in flooding, water level fluctuation, and operational costs. The maximum daily rainfall with a 100-year return period increased by 2.1% and 6.8% during 2025–2064 under SSP1-2.6 and SSP5-8.5, respectively, compared with the historical period (1975–2014), thereby increasing the magnitude of urban flooding. The ISM may also significantly lower the flooding process at specific nodes. The ISM-based strategy outperforms climate change mitigation and other adaptation strategies. This study shows that the ISM-based strategy are very useful to deal with the impact of climate change on urban flooding.

Suggested Citation

  • Kun Xie & Jong-Suk Kim & Linjuan Hu & Hua Chen & Chong-Yu Xu & Jung Hwan Lee & Jie Chen & Sun-Kwon Yoon & Di Zhu & Shaobo Zhang & Yang Liu, 2023. "Intelligent Scheduling of Urban Drainage Systems: Effective Local Adaptation Strategies for Increased Climate Variability," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 91-111, January.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:1:d:10.1007_s11269-022-03357-0
    DOI: 10.1007/s11269-022-03357-0
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    References listed on IDEAS

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    1. Fatemeh Jafari & S. Jamshid Mousavi & Jafar Yazdi & Joong Hoon Kim, 2018. "Real-Time Operation of Pumping Systems for Urban Flood Mitigation: Single-Period vs. Multi-Period Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4643-4660, November.
    2. Hadi Galavi & Majid Mirzaei, 2020. "Analyzing Uncertainty Drivers of Climate Change Impact Studies in Tropical and Arid Climates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 2097-2109, April.
    3. Nadia Schou Vorndran Lund & Morten Borup & Henrik Madsen & Ole Mark & Karsten Arnbjerg-Nielsen & Peter Steen Mikkelsen, 2019. "Integrated stormwater inflow control for sewers and green structures in urban landscapes," Nature Sustainability, Nature, vol. 2(11), pages 1003-1010, November.
    4. Xuan Wang & Wenchong Tian & Zhenliang Liao, 2021. "Offline Optimization of Sluice Control Rules in the Urban Water System for Flooding Mitigation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 949-962, February.
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    Cited by:

    1. Kun Xie & Yanfeng He & Jong-Suk Kim & Sun-Kwon Yoon & Jie Liu & Hua Chen & Jung Hwan Lee & Xiang Zhang & Chong-Yu Xu, 2023. "Assessment of the Joint Impact of Rainfall Characteristics on Urban Flooding and Resilience Using the Copula Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(4), pages 1765-1784, March.

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