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Analysing the Performance of Four Hydrological Models in a Chinese Arid and Semi-Arid Catchment

Author

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  • Hengxu Jin

    (School of Geomatics, Liaoning Technical University, Fuxin 123000, China)

  • Xiaoping Rui

    (College of Earth and Engineering, Hohai University, Nanjing 211100, China)

  • Xiaoyan Li

    (School of Geomatics, Liaoning Technical University, Fuxin 123000, China)

Abstract

Frequent flood hazards in the Raoyang River Basin in western Liaoning, China, have posed serious threats to people’s lives and property. In an effort to study the simulation efficiencies of hydrological models in this arid and semi-arid catchment, this study examined the performance of the Xin’anjiang model, the Liaoning unsaturated model, and the DHF model in the Dongbaichengzi station watershed in the upper reaches of the Raoyang River, China. Additionally, this paper proposed an improved DHF model, which considers the impoundment and regulation of small- and medium-sized reservoirs in the upper reaches of the basin. The flood simulation results demonstrated that the Xin’anjiang model was difficult to apply in this area because the average value of its Nash–Sutcliffe efficiency (NSE) was as low as 0.31. Meanwhile, the simulation efficiencies of the Liaoning unsaturated model and the DHF model were higher than that of the Xin’anjiang model, but the relative error of flood peak discharge and runoff depth for most floods were still high and could not meet the actual forecast requirements by the Reservoir Administration Bureau of Liaoning Province. Overall, the improved DHF model showed the best efficiency, and the mean value of the NSE reached 0.79. Therefore, the improved DHF model has good applicability in the Dongbaichengzi station watershed in the upper reaches of the Raoyang River, China.

Suggested Citation

  • Hengxu Jin & Xiaoping Rui & Xiaoyan Li, 2022. "Analysing the Performance of Four Hydrological Models in a Chinese Arid and Semi-Arid Catchment," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3677-:d:776042
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    References listed on IDEAS

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    1. Yun Xing & Huili Chen & Qiuhua Liang & Xieyao Ma, 2022. "Improving the performance of city-scale hydrodynamic flood modelling through a GIS-based DEM correction method," 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. 112(3), pages 2313-2335, July.
    2. Bin Guo & Weihong Li & Jinyun Guo & Chuanfa Chen, 2015. "Risk Assessment of Regional Irrigation Water Demand and Supply in an Arid Inland River Basin of Northwestern China," Sustainability, MDPI, vol. 7(9), pages 1-16, September.
    3. Binquan Li & Zhongmin Liang & Qingrui Chang & Wei Zhou & Huan Wang & Jun Wang & Yiming Hu, 2020. "On the Operational Flood Forecasting Practices Using Low-Quality Data Input of a Distributed Hydrological Model," Sustainability, MDPI, vol. 12(19), pages 1-16, October.
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    Cited by:

    1. Wenying Zeng & Songbai Song & Yan Kang & Xuan Gao & Rui Ma, 2022. "Response of Runoff to Meteorological Factors Based on Time-Varying Parameter Vector Autoregressive Model with Stochastic Volatility in Arid and Semi-Arid Area of Weihe River Basin," Sustainability, MDPI, vol. 14(12), pages 1-12, June.
    2. Xiaoyang Li & Lei Ye & Xuezhi Gu & Jinggang Chu & Jin Wang & Chi Zhang & Huicheng Zhou, 2024. "Development of A Distributed Modeling Framework Considering Spatiotemporally Varying Hydrological Processes for Sub-Daily Flood Forecasting in Semi-Humid and Semi-Arid Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(10), pages 3725-3754, August.

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