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首页> 外文期刊>Hydrology Research >Sensitivity analysis of Xinanjiang rainfallrunoff model parameters: a case study in Lianghui, Zhejiang province, China
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Sensitivity analysis of Xinanjiang rainfallrunoff model parameters: a case study in Lianghui, Zhejiang province, China

机译:新安江降雨径流模型参数敏感性分析-以浙江省凉水县为例

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摘要

The Xinanjiang rainfallrunoff model has been successfully applied in many humid and sub-humid areas in China since 1973. The wide application is due to the simple model structure, the clear physical meaning of the parameters and the well-defined model calibration procedure. However, due to a data scarcity problem and short runoff concentration time, its applications to small drainage basins are difficult. Therefore, we investigate the model application in Lianghui, a small drainage basin of Zhejiang province in China. By using generalized likelihood uncertainty estimation (GLUE) methodology, the sensitivity of parameters of Xinanjiang model was investigated. The data clearly showed that equifinality phenomenon was evident in both water balance parameter calibration and runoff routing parameter calibration procedures. The results showed that K (evapotranspiration conversion coefficient), Cs (recession constant in channel system) and Sm (areal free water storage capacity of surface soil) are the most sensitive parameters for the water balance parameter calibration while Cs, Sm and Wm (mean area tension water capacity) are the most sensitive parameters for runoff routing parameter calibration. The conclusion is favourable for understanding parameters of Xinanjiang model in order to provide valuable scientific information for simulating hydrological processes in small drainage basins.
机译:自1973年以来,新安江降雨径流模型已在中国许多湿润和半湿润地区成功应用。由于模型结构简单,参数的物理含义清晰以及模型定义程序明确,因此应用广泛。但是,由于数据缺乏问题和径流集中时间短,将其应用于小型流域十分困难。因此,我们研究了该模型在中国浙江省小流域良汇的应用。利用广义似然不确定性估计(GLUE)方法,研究了新安江模型参数的敏感性。数据清楚地表明,在水平衡参数校准和径流径流参数校准程序中均等现象很明显。结果表明,K(蒸发蒸腾转换系数),C s (渠道系统中的后退常数)和S m (表层土壤的区域自由储水量)最大水平衡参数校准的敏感参数,而C s ,S m 和W m (平均面积张力水容量)是最敏感的参数用于径流路径参数校准。该结论有利于了解新安江模型的参数,为模拟小流域水文过程提供有价值的科学信息。

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