Water-Stage Forecasting in a Multitributary Tidal River Using a Bidirectional Muskingum Method
Publication: Journal of Hydrologic Engineering
Volume 14, Issue 12
Abstract
The Muskingum flow routing method has been successfully used in many hydrologic applications due to its simplicity in concept and calculation. This paper presents a bidirectional Muskingum water-stage routing model (BDMWSRM) for water-stage forecasting in a tidal river with consideration of flood and tidal influences. The BDMWSRM separates the hydrologic processes of the tidal river into upper reach flood and downstream tidal waves, respectively. Muskingum water-stage routing method was first used to calculate the propagation of the flood and tidal waves; for the case of multitributary upper reaches, a first routing-second combining approach is used and then routed streamflows are summed up by using different weight factors for two water-stages based on the water-stage threshold. All the parameters used in the model can be adjusted automatically or determined manually. The BDMWSRM was applied in the Jiaojiang River, China for evaluating the tidal effect on the streamflow in this study. The simulated streamflows at the basin outlet capture the seasonal trends which compare realistically well with the observed in both temporal variation and intensities. The results indicate that the BDMWSRM can be applied successfully with high accuracy and reliability on the water-stage forecasting in a tidal river and fewer parameters may be required for model calibration, displaying the relative advantage of the model.
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Acknowledgments
This study is supported by the Common Will Vocation Science Research Funding of the Ministry of Water Resources of the People’s Republic of China (Grant No. UNSPECIFIED200701031), Program for Changjiang Scholars and Innovative Research Team in University (Grant No. UNSPECIFIEDIRT0717), National Natural Science Foundation of China (Grant No. NNSFC50679024/E0903), Key Science and Technology Research Program of Ministry of Education of the People’s Republic of China (Grant No. UNSPECIFIED308012) and the 111 Project under Grant No. UNSPECIFIEDB08048 and Natural Science Funding of Hohai University (Grant No. UNSPECIFIED2007418911).
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© 2009 ASCE.
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Received: Aug 7, 2008
Accepted: Mar 25, 2009
Published online: Nov 13, 2009
Published in print: Dec 2009
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