Case Studies
Dec 4, 2014

Integrated Hydrologic and Reservoir Routing Model for Real-Time Water Level Forecasts

Publication: Journal of Hydrologic Engineering
Volume 20, Issue 9

Abstract

Reliable forecasts of reservoir water levels are important for reservoir operations and water resources management. A reservoir water level forecasting model was developed by integrating the Xinanjiang model and a reservoir routing model. The integrated model, of which the hydrologic parameters are calibrated based on the observed water level directly, is used to forecast the reservoir water levels, while that of the conventional method calibrates the hydrologic model using the estimated reservoir inflows from water balance. Through an application to the China’s Shuibuya Reservoir, the integrated model shows a much higher accuracy than the conventional method, with an average RMS error of 0.10 m, whereas that of the conventional method is 5.13 m. The presented model provides a reliable tool for real-time forecasts of reservoir water levels.

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Acknowledgments

The research reported in this paper was supported by the Excellent Young Scientist Foundation of the National Natural Science Foundation of China (NSFC; 51422907) and the Program for New Century Excellent Talents (NCET) in University (NCET-11-0401).

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 20Issue 9September 2015

History

Received: Jun 13, 2014
Accepted: Oct 30, 2014
Published online: Dec 4, 2014
Discussion open until: May 4, 2015
Published in print: Sep 1, 2015

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Authors

Affiliations

Chao Deng
Ph.D. Student, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China.
Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China (corresponding author). Email: [email protected]
Yue Liu
M.S. Student, Hubei Provincial Collaborative Innovation Center for Water Resources Security, Wuhan 430072, China.
Zhaohui Wu
Senior Engineer, Hubei Province Bureau of Hydrology and Water Resources Survey, Wuhan 430070, China.
Dingbao Wang
Assistant Professor, Dept. of Civil, Environmental, and Construction Engineering, Univ. of Central Florida, Orlando, FL 32816.

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