变参数非线性马斯京根分段演算模型研究与应用
Research and applications of nonlinear Muskingum model with continuous variable parameters and channel segmented method
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摘要: 为了更好地模拟天然河道中洪水演进的时空非线性特征,通过构建连续型可变参数的槽蓄方程,在前人研究基础上进一步改进了非线性马斯京根模型结构,并与河道分段演算方法相耦合,提出了一种变参数非线性马斯京根分段演算模型(CVPCS-NMM),并应用于实际案例中。结果表明:CVPCS-NMM取得了比分段马斯京根模型和变指数非线性马斯京根模型(CVEP-NMM)更好的效果,反映出了天然河道洪水过程在时空上的非线性变化特点,表明该模型是一种行之有效的河道演算方法,也为进一步探讨如何将河道分段演算方法与非线性马斯京根模型相结合提供了一种研究思路。Abstract: In order to better simulate the nonlinear spatial-temporal features of flood routing in natural rivers, we construct a storage function with continuous variable parameters, and further improve the structure of the nonlinear Muskingum model based on previous researches.Coupled with the channel segmentation calculation method, a Nonlinear Muskingum Model with Continuous Variable Parameters and Channel Segmented method(CVPCS-NMM)is proposed and applied to actual cases.The results show that the simulation effect of CVPCS-NMM is better than the Segmented Muskingum model and CVEP-NMM,which reflects the nonlinear spatial-temporal features of flood routing in natural rivers.It indicates that the CVPCS-NMM is an effective flood routing calculation method and provides a research idea for further discussion of combining the channel segmented method with the nonlinear Muskingum model.
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