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Comparing Three Hydrological Models for Flash Flood Simulations in 13 Humid and Semi-humid Mountainous Catchments

Author

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  • Xiaoyan Zhai

    (China Institute of Water Resources and Hydropower Research)

  • Liang Guo

    (China Institute of Water Resources and Hydropower Research)

  • Ronghua Liu

    (China Institute of Water Resources and Hydropower Research)

  • Yongyong Zhang

    (Chinese Academy of Sciences)

  • Yongqiang Zhang

    (Chinese Academy of Sciences)

Abstract

Flash flood disaster ranks top among all the natural hazards across the world due to its high frequency, severity and fatality. However, flash flood simulation is still challenging in small and medium-sized catchments with complex orography, flashy hydrological responses and poor observations. Three distributed hydrological models, i.e., TOPModel, HEC and CNFF, are selected to simulate flash floods in seven humid and six semi-humid catchments in China, with consideration of water balance (RER), peak flow rate (REQ) and its occurrence time (TP), hydrograph variation (SNSE) and model uncertainty. Influences of five catchment attributes are further investigated on individual model performances. All three models perform satisfactorily in humid catchments, but less satisfactorily in semi-humid catchments. Water balance is well obtained by CNFF, followed by HEC and TOPModel. Peak flow rate and its occurrence time are most accurately captured by CNFF and HEC, respectively. Hydrograph variations are well reproduced by HEC and CNFF. TOPModel performs well for picking peak flow and hydrograph variation in humid catchments. Uncertainty interval is narrowest for HEC with average relative interval length at 95% confidence level being 0.78 ~ 2.53. Most observations are bracketed by uncertainty intervals for TOPModel (64.79% ~ 91.91% of total). Three model performance indices (i.e., RER, REQ, and SNSE) are mainly affected by drainage area and forest ratio across humid and semi-humid catchments, while TP performance is mainly affected by mean slope in humid catchments.

Suggested Citation

  • Xiaoyan Zhai & Liang Guo & Ronghua Liu & Yongyong Zhang & Yongqiang Zhang, 2021. "Comparing Three Hydrological Models for Flash Flood Simulations in 13 Humid and Semi-humid Mountainous Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1547-1571, March.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:5:d:10.1007_s11269-021-02801-x
    DOI: 10.1007/s11269-021-02801-x
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    References listed on IDEAS

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    1. Xiaoyan Zhai & Liang Guo & Ronghua Liu & Yongyong Zhang, 2018. "Rainfall threshold determination for flash flood warning in mountainous catchments with consideration of antecedent soil moisture and rainfall pattern," 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. 94(2), pages 605-625, November.
    2. Ali Suliman & Milad Jajarmizadeh & Sobri Harun & Intan Mat Darus, 2015. "Comparison of Semi-Distributed, GIS-Based Hydrological Models for the Prediction of Streamflow in a Large Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3095-3110, July.
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    1. Wenlin Yuan & Xinyu Tu & Chengguo Su & Meiqi Liu & Denghua Yan & Zening Wu, 2021. "Research on the Critical Rainfall of Flash Floods in Small Watersheds Based on the Design of Characteristic Rainfall Patterns," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3297-3319, August.

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