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Water 2018, 10(6), 760; https://doi.org/10.3390/w10060760

Development and Application of Advanced Muskingum Flood Routing Model Considering Continuous Flow

1
Research Center for Disaster Prevention Science and Technology, Korea University, Seoul 02841, Korea
2
School of Civil, Environmental and Architectural Engineering, Korea University, Seoul 02841, Korea
*
Author to whom correspondence should be addressed.
Received: 21 May 2018 / Revised: 8 June 2018 / Accepted: 9 June 2018 / Published: 11 June 2018
(This article belongs to the Section Hydrology)
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Abstract

The Muskingum flood routing model is a representative flood routing model. The field applicability of the Muskingum flood routing model is known to be good, and the structure of input data is simple. However, accurate flood routing cannot be conducted using current Muskingum flooding routing models due to the structural limitation of equations. The advanced nonlinear Muskingum flood routing model is suggested for improving accuracy, considering continuous flow using weighted inflow. Continuous flow means the past continuous inflows, including first and secondary inflow over time. Five flood data were selected for a comparison between the results of this study and previous ones. The sum of squares, root mean square errors, and Nash-Sutcliffe efficiency are applied in order to calculate the error values. The vision correction algorithm was used to estimate parameters in the new model. Generally, the new method yields better results than those described in previous studies, though it shows similar results with the most recent methods (NLMM-L) in some flood data. Finally, the new method and NLMM-L are applied for the prediction of Daechung flood data in Korea. The new method is useful in the prediction of outflows, because it shows better results than NLMM-L. View Full-Text
Keywords: advanced nonlinear Muskingum model; flood routing; continuous flow; vision correction algorithm advanced nonlinear Muskingum model; flood routing; continuous flow; vision correction algorithm
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Lee, E.H.; Lee, H.M.; Kim, J.H. Development and Application of Advanced Muskingum Flood Routing Model Considering Continuous Flow. Water 2018, 10, 760.

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