Volume 7 Issue 1
Jan.  2014
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Xiao-ling WU, Xiao-hua XIANG, Li LI, Chuan-hai WANG. 2014: Water level updating model for flow calculation of   river networks. Water Science and Engineering, 7(1): 60-69. doi: 10.3882/j.issn.1674-2370.2014.01.007
Citation: Xiao-ling WU, Xiao-hua XIANG, Li LI, Chuan-hai WANG. 2014: Water level updating model for flow calculation of   river networks. Water Science and Engineering, 7(1): 60-69. doi: 10.3882/j.issn.1674-2370.2014.01.007

Water level updating model for flow calculation of   river networks

doi: 10.3882/j.issn.1674-2370.2014.01.007
Funds:  This work was supported by the Major Program of the National Natural Science Foundation of China (Grant No. 51190091), the National Natural Science Foundation of China (Grant No. 51009045), and the Open Research Fund Program of the State Key Laboratory of Water Resources and Hydropower Engineering Science of Wuhan University (Grant No. 2012B094).
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  • Corresponding author: Xiao-ling WU
  • Received Date: 2012-07-15
  • Rev Recd Date: 2012-12-07
  • Complex water movement and insufficient observation stations are the unfavorable factors in improving the accuracy of flow calculation of river networks. A water level updating model for river networks was set up based on a three-step method at key nodes, and model correction values were collected from gauge stations. To improve the accuracy of water level and discharge forecasts for the entire network, the discrete coefficients of the Saint-Venant equations for river sections were regarded as the media carrying the correction values from observation locations to other cross-sections of the river network system. To examine the applicability, the updating model was applied to flow calculation of an ideal river network and the Chengtong section of the Yangtze River. Comparison of the forecast results with the observed data demonstrates that this updating model can improve the forecast accuracy in both ideal and real river networks.    

     

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  • Cheng, W. H., Wang, C. H., and Zhu, Y. 2006. Taihu Basin Model, 10, 71-77. Nanjing: Hohai University Press. (in Chinese)
    Crissman, R. D., Chiu, C. L., Yu, W. Z., Mizumura, K., and Corbu, I. 1993. Uncertainties in flow modeling and forecasting for Niagara River. Journal of Hydrualic Engineering, 119(11), 1231-1250. [doi:10.1061/ (ASCE)0733-9429(1993)119:11(1231)].
    Hsu, M. H., Fu, J. C., and Liu, W. C. 2003. Flood routing with real-time stage correction method for flash flood forecasting in the Tanshui River, Taiwan. Journal of Hydrology, 283(1-4), 267-280. [doi: 10.1016/S0022-1694(03)00274-9]
    Hsu, M. H., Fu, J. C., and Liu, W. C. 2006. Dynamic routing model with real-time roughness updating for flood forecasting. Journal of Hydraulic Engineering, 132(6), 605-619. [doi:10.1061/(ASCE) 0733-9429(2006)132:6(605)]
    Kachroo, R. K. 1992. River flow forecasting, part 1: A discussion of the principles. Journal of Hydrology, 133(1-2), 1-15. [doi: 10.1016/0022-1694(92)90146-M]
    Kachroo, R. K., and Liang, G. C. 1992. River flow forecasting, part 2: Algebraic development of linear modelling techniques. Journal of Hydrology, 133(1-2), 17-40. [doi: 10.1016/0022-1694(92)90147-N]
    Lai, X. J. 2009. Real-updating multivariate analysis for unsteady flows with ensemble Kalman filter. Advances in Water Sciences, 20(2), 241-248. (in Chinese)
    Li, Z. J., and Weng, M. H. 2001. Real-time flood forecasting modeling of 1D unsteady channel flow and kalman filter. Journal of Hydrodynamics, 13(1), 64-69.
    Madsen, H., and Skotner, C. 2005. Adaptive state updating in real-time river flow forecasting: A combined filtering and error forecasting procedure. Journal of Hydrology, 308(1-4), 302-312. [doi:10.1016/ j.jhydrol.2004.10.030]
    Mu, J. B., and Zhang, X. F. 2007. Real-time flood forecasting method with 1-D unsteady flow model. Journal of Hydrodynamics, 19(2), 150-154. [doi: 10.1016/S1001-6058(07)60041-9]
    Neal, J. C., Atkinson, P. M., and Hutton, C. W. 2007. Flood inundation model updating using an ensemble Kalman filter and spatially distributed measurements. Journal of Hydrology, 336(3-4), 401-415. [doi: 10.1016/j.jhydrol.2007.01.012]
    Romanowicz, R. J., Young, P. C., and Beven, K. J. 2006. Data assimilation and adaptive forecasting of water levels in the river Severn catchment, United Kingdom. Water Resources Research, 42(6), 1-12. [doi: 10.1029/2005WR004373]
    Wang, C. H., and Bai, Y. L. 2008. Algorithm for real time correction of stream flow concentration based on Kalman filter. Journal of Hydrologic Engineering, 13(5), 290-296. [doi:10.1061/(ASCE)1084-0699 (2008)13:5(290)]
    Wu, X. L., Xiang, X. H., Wang, C. H., Chen, X., Xu, C. Y., and Yu, Z. B. 2013. Coupled hydraulic and Kalman filter model for real-time correction of flood forecast in the Three Gorges interzone of Yangtze River, China. Journal of Hydrologic Engineering, 18(11), 1416-1425. [doi:10.1061/(ASCE)HE. 1943-5584. 0000473]
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