IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v34y2020i13d10.1007_s11269-020-02614-4.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-020-02614-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-020-02614-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vesna Đukić & Zoran Radić, 2016. "Sensitivity Analysis of a Physically Based Distributed Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1669-1684, March.
    2. Changjun Liu & Liang Guo & Lei Ye & Shunfu Zhang & Yanzeng Zhao & Tianyu Song, 2018. "A review of advances in China’s flash flood early-warning system," 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. 92(2), pages 619-634, June.
    3. Isaac Koomson & Raymond Elikplim Kofinti & Esther Laryea, 2024. "Financial inclusion and multidimensional child poverty," Review of Economics of the Household, Springer, vol. 22(1), pages 237-260, March.
    4. Xianhua Wu & Jiqiang Zhao & Yun Kuai & Ji Guo & Ge Gao, 2021. "Construction and verification of a rainstorm death risk index based on grid data fusion: a case study of the Beijing rainstorm on July 21, 2012," 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. 107(3), pages 2293-2318, July.
    5. Xianli Xu & Wen Liu & Rashad Rafique & Kelin Wang, 2013. "Revisiting Continental U.S. Hydrologic Change in the Latter Half of the 20th Century," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(12), pages 4337-4348, September.
    6. Sophia Rosen & Ori Davidov, 2017. "Ordered Regressions," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 44(4), pages 817-842, December.
    7. Haas, Marcelo B. & Guse, Björn & Pfannerstill, Matthias & Fohrer, Nicola, 2015. "Detection of dominant nitrate processes in ecohydrological modeling with temporal parameter sensitivity analysis," Ecological Modelling, Elsevier, vol. 314(C), pages 62-72.
    8. Chengcheng Huang & Guoqiang Wang & Xiaogu Zheng & Jingshan Yu & Xinyi Xu, 2015. "Simple Linear Modeling Approach for Linking Hydrological Model Parameters to the Physical Features of a River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3265-3289, July.
    9. Lu Liu & Jian Sun & Binliang Lin, 2022. "A large-scale waterlogging investigation in a megacity," 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. 114(2), pages 1505-1524, November.
    10. Vesna Đukić & Zoran Radić, 2016. "Sensitivity Analysis of a Physically Based Distributed Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1669-1684, March.
    11. Li-Chi Chiang & Yi-Ting Chuang & Chin-Chuan Han, 2019. "Integrating Landscape Metrics and Hydrologic Modeling to Assess the Impact of Natural Disturbances on Ecohydrological Processes in the Chenyulan Watershed, Taiwan," IJERPH, MDPI, vol. 16(2), pages 1-21, January.
    12. Xiangang Luo & Jianqing Li & Shuang Zhu & Zhanya Xu & Zhibin Huo, 2020. "Estimating the Impacts of Urbanization in the Next 100 years on Spatial Hydrological Response," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1673-1692, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:34:y:2020:i:13:d:10.1007_s11269-020-02614-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.