This paper introduces a hybrid non-linear Muskingum model for flood routing. The proposed hybrid model has more degrees of freedom for fitting observed data than other non-linear Muskingum models. The main goal of this work is to develop a comprehensive model for outflow routing. The proposed hybrid model's predictive skill is evaluated with experimental, real and multimodal hydrograph-routing problems. The results confirm the predictive skill of the hybrid model based on the minimisation of the sum of the square deviation (SSD) between observed and routed outflows, the sum of the absolute value of the deviations (SAD) between the observed outflow and the computed outflow, and the deviations between the peak of the routed and actual outflows (DPO). Results from this study show the hybrid model improved the SSD by 79, 15 and 5%, SAD by 50, 2 and 5%, and the DPO by 77, 4 and 34% compared with the best alternative Muskingum model in solving the experimental, real and multimodal example problems, respectively.

中文翻译：

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一种新的混合非线性马斯金格模型在洪水演进中的应用

本文介绍了一种用于洪水泛洪的混合非线性马斯金格模型。提出的混合模型比其他非线性Muskingum模型具有更多的自由度来拟合观测数据。这项工作的主要目的是为流出路由开发一个综合模型。提出的混合模型的预测能力是通过实验，真实和多峰水文路线路由问题进行评估的。结果最小化了观察到的和路由流出之间的平方差之和（SSD），观察到的流出量与计算出的流出量之差的绝对值（SAD）之和的最小化基础上的混合模型的预测能力，以及实际流出量（DPO）的峰值之间的偏差。这项研究的结果表明，该混合模型可将SSD分别提高79、15和5％，将SAD提高50，