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The Effect of Nonstationarity in Rainfall on Urban Flooding Based on Coupling SWMM and MIKE21

Author

Listed:
  • Linhan Yang

    (Tianjin University)

  • Jianzhu Li

    (Tianjin University)

  • Aiqing Kang

    (China Institute of Water Resources and Hydropower Research)

  • Shuai Li

    (University of Tennessee)

  • Ping Feng

    (Tianjin University)

Abstract

The characteristics of urban pluvial flooding are altering all over the world due to environmental change. In this paper, generalized additive models for location, scale and shape (GAMLSS) was employed to analyze nonstationary frequency of extreme precipitation at subdaily scale. Nonstationary precipitation return periods were estimated using the expected waiting time (EWT) interpretation. A model coupling SWMM and MIKE21 was established, and calibrated and verified by three historical urban floods. Then, it was utilized to simulate urban floods under stationary and nonstationary rainfall conditions with different return periods. The simulated results illustrated that rainfall depth under nonstationarity was greater than that of stationarity when return period was less than 10 years, but the results reversed when the return period was over 20 years. The main variation of rainfall depth occurred within 6 h. The deviation of the maximum water depth was less than 10% for five return levels, and the difference in the longest inundation lengths was 1.2 h for 50-year return period under two assumptions. It may indicate that slight differences of urban flooding were detected between stationary and nonstationary conditions in the study region, which suggested a further study about urban flood under nonstationarity.

Suggested Citation

  • Linhan Yang & Jianzhu Li & Aiqing Kang & Shuai Li & Ping Feng, 2020. "The Effect of Nonstationarity in Rainfall on Urban Flooding Based on Coupling SWMM and MIKE21," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(4), pages 1535-1551, March.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:4:d:10.1007_s11269-020-02522-7
    DOI: 10.1007/s11269-020-02522-7
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    References listed on IDEAS

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    Cited by:

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    2. Donglai Li & Jingming Hou & Yangwei Zhang & Minpeng Guo & Dawei Zhang, 2022. "Influence of Time Step Synchronization on Urban Rainfall-Runoff Simulation in a Hybrid CPU/GPU 1D-2D Coupled 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 3417-3433, August.
    3. Bartosz Szeląg & Adam Kiczko & Grzegorz Łagód & Francesco Paola, 2021. "Relationship Between Rainfall Duration and Sewer System Performance Measures Within the Context of Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(15), pages 5073-5087, December.
    4. Bartosz Szeląg & Roman Suligowski & Grzegorz Majewski & Przemysław Kowal & Adrian Bralewski & Karolina Bralewska & Ewa Anioł & Wioletta Rogula-Kozłowska & Francesco Paola, 2022. "Application of Multinomial Logistic Regression to Model the Impact of Rainfall Genesis on the Performance of Storm Overflows: Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3699-3714, August.
    5. Fatemeh Yavari & Seyyed Ali Salehi Neyshabouri & Jafar Yazdi & Amir Molajou & Adam Brysiewicz, 2022. "A Novel Framework for Urban Flood damage Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(6), pages 1991-2011, April.

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