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An Integrated Modelling Approach for Flood Simulation in the Urbanized Qinhuai River Basin, China

Author

Listed:
  • Runjie Li

    (Nanjing University
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application)

  • Jinkang Du

    (Nanjing University
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application)

  • Guodong Bian

    (Wuhan University
    Nanjing Hydraulic Research Institute)

  • Yuefeng Wang

    (Chongqing Normal University)

  • Changchun Chen

    (Nanjing University of Information Science and Technology)

  • Xueliang Zhang

    (Nanjing University
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application)

  • Maohua Li

    (Nanjing University
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application)

  • Shanshan Wang

    (Nanjing University
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application)

  • Senyao Wu

    (Nanjing University
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application)

  • Shunping Xie

    (Nanjing University
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application)

  • Long Yang

    (Nanjing University)

  • Chong-Yu Xu

    (University of Oslo)

Abstract

The accurate simulation and prediction of flood response in urbanized basins remains a great challenge due to the spatial and temporal heterogeneities in land surface properties. We hereby propose an integrated modelling approach that consists of a semi-distributed conceptual hydrological model and a novel parameterization strategy. The modelling approach integrates the Xinanjiang (XAJ) model, Taihu Basin (TB) model, and Nash instantaneous unit hydrograph (IUH) into a framework. Model parameters are calibrated by optimizing their relationships with corresponding physical factors. The proposed modelling approach is applied in the Qinhuai River basin (QRB), China. The modelling approach shows satisfactory performance in flood simulation both for calibration and validation of flood events in the QRB. The approach has temporal and spatial prediction capability by using the established relationships between parameter values and physical factors. Robustness analysis reveals that the different sets of flood events used for parameter relationship calibration led to similar model performance. Numerical experiments show that impervious coverage poses strong influences on the model performance and needs to be considered in flood routing simulations for small- or medium-intensity flood events.

Suggested Citation

  • Runjie Li & Jinkang Du & Guodong Bian & Yuefeng Wang & Changchun Chen & Xueliang Zhang & Maohua Li & Shanshan Wang & Senyao Wu & Shunping Xie & Long Yang & Chong-Yu Xu, 2020. "An Integrated Modelling Approach for Flood Simulation in the Urbanized Qinhuai River Basin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(13), pages 3967-3984, October.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:13:d:10.1007_s11269-020-02614-4
    DOI: 10.1007/s11269-020-02614-4
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    References listed on IDEAS

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    1. HaiBo Hu, 2016. "Rainstorm flash flood risk assessment using genetic programming: a case study of risk zoning in Beijing," 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. 83(1), pages 485-500, August.
    2. Jinkang Du & Hanyi Rui & Tianhui Zuo & Qian Li & Dapeng Zheng & Ailing Chen & Youpeng Xu & C.-Y. Xu, 2013. "Hydrological Simulation by SWAT Model with Fixed and Varied Parameterization Approaches Under Land Use Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 2823-2838, June.
    3. Jamshidian, Mortaza & Jennrich, Robert I. & Liu, Wei, 2007. "A study of partial F tests for multiple linear regression models," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6269-6284, August.
    4. C.-Y. Xu, 1999. "Estimation of Parameters of a Conceptual Water Balance Model for Ungauged Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 13(5), pages 353-368, October.
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