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基于多流域同步率定的HBV模型参数移植方法研究

Parameter Transfer Based on Simultaneous Calibration of the HBV Model

  • 摘要: 无资料地区洪水预报是水文学研究的难点之一。为提高无资料地区HBV模型参数移植的精度,以安徽屯溪流域为例,基于多目标优化函数实现多个流域HBV模型同步率定,获得同时适用于多个流域的模型参数,并对参数的移植效果进行验证。结果表明:基于单个流域率定的参数移植不确定性较高,移植效果不稳定;多流域同步率定的参数移植效果普遍较优,能够有效提高无资料地区参数移植稳定性和洪水预报的精度。

     

    Abstract: Flood forecasting in ungauged basins is one of the most difficult tasks in hydrological research. In order to study the parameter transfer method of the HBV model in ungauged basins, The Tunxi catchment located in Anhui province was taken as an example. Based on the multi-objective functions, the HBV model can be simultaneously calibrated for multiple catchments. The parameters that can be used for different catchments were obtained in this case. The results indicate that parameter transfer based on the individual calibration shows larger uncertainty and unstable accuracy. Multi-basin simultaneous calibration can generally obtain parameters with strong stability, which can effectively improve the accuracy of parameter transfer and flood forecasting.

     

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