Long-Term Water-Level Forecasting and Real-Time Correction Models in the Tidal Reach of the Yangtze River
Publication: Journal of Hydrologic Engineering
Volume 18, Issue 11
Abstract
In this research, considering the importance and complexity of the water-level forecast in tidal reach, a case study was done in the tidal reach of the Yangtze River. Through the analysis of the characteristics of water-level variations, tidal harmonic analysis was introduced into tidal reach, which was commonly applied in oceanic water-level forecast. An automatic partial tide selection and optimization pattern was used to calibrate harmonic constants, long-term water-level forecast models were developed for Yanglin, Xuliujing, Tianshenggang, and Jiangyin stage stations, and then the long-term forecast models were used to hindcast historical water-level events at the aforementioned stations. Most of the results were highly accurate, but there were also some occasional significant errors, which could be attributed to the effects of upstream runoff and downstream storm surge. Based on these findings, response functions of water-level forecast error to the variation of upstream runoff and the variation of storm surge were developed, which were used in the real-time correction of the simulation results obtained from the long-term forecast model. The forecast accuracy was evidently improved. These models have already been used in water-level forecast in the tidal reach of the Yangtze River for the construction of two large bridges, and they also have the potential to contribute to water-level forecast in similar tidal reaches of other rivers.
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Acknowledgments
This research was financially supported by the Fundamental Research Funds for the Central Universities (2009B06314), and the National Key Technology Research and Development Program of China during the 11th Five-Year Plan Period (2006BAG04B06). The authors would like to thank the reviewers for their comments permitting improvement of the manuscript.
References
Bao, W. M., and Bian, Y. M. (1997). “Study on stage routing model of tidal reach.” J. Hydraul. Eng., 1997(11), 34–38 (in Chinese).
Bao, W. M., Zhao, C., Wang, H., and Qu, S. M. (2007). “Application of a bi-directional stage routing model in a tidal reach.” IAHS Publication 311, Proc., Methodology in Hydrology, Int. Association of Hydrological Sciences, Wallingford, UK, 46–52.
Chen, B., Bao, W. M., and Qu, S. M. (2008). “Application of bidirectional propagation and multivariate linear regression method in stage forecasting at Linhai Station on Jiaojiang River.” J. China Hydrol., 28(3), 45–48 (in Chinese).
Huang, G. R., Hu, H. P., and Tian, F. Q. (2003). “Flood level forecast model for tidal channel based on the radial basis function artificial neural network.” Adv. Water Sci., 14(2), 158–162 (in Chinese).
Li, G. F., Tan, Y., and Zhang, X. J. (2006). “Influence of upstream discharge in tidal level prediction for tidal reaches.” J. Hohai Univ. (Nat. Sci.), 34(2), 144–147 (in Chinese).
Lian, Y. Q., Chan, I. C., and Singh, J. (2007). “Coupling of hydrologic and hydraulic models for the Illinois River Basin.” J. Hydrol., 344(3–4), 210–222.
Long, J., and Li, S. Y. (2007). “Finite element method combining the 1-D and 2-D hydrodynamic modeling of the Pearl River outlets.” J. Hydrodyn., 22(4), 512–519 (in Chinese).
Romanowicz, R. J., Young, P. C., and Reven, K. J. (2008). “A data based mechanistic approach to nonlinear flood routing and adaptive flood level forecasting.” Adv. Water Resour., 31(8), 1048–1056.
Song, L. S., and Wei, G. F. (2000). “Preliminary study on the water level forecast in the river with tidal effect.” Adv. Water Sci., 11(3), 302–306 (in Chinese).
Wu, L. L., and Zhang, W. (2005). “Application of genetic threshold auto-regressive model to water stage forecasting for tidal river section.” Adv. Sci. Technol. Water Resour., 25(5), 20–23 (in Chinese).
Zhao, Y. H., Wang, X. L., and Zhang, J. L. (1999). “A practical system of astronomical tidal analysis and prediction.” J. Hohai Univ., 27(4), 73–77 (in Chinese).
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© 2013 American Society of Civil Engineers.
History
Received: Jun 6, 2010
Accepted: Sep 26, 2011
Published online: Sep 28, 2011
Discussion open until: Feb 28, 2012
Published in print: Nov 1, 2013
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