Water-stage forecasting in a multitributary tidal river using a bidirectional muskingum method

Journal of Hydrologic Engineering

Volumn 14, Issue 12, 2009, Pages 1299-1308

  Si Min, Qu ^a   Wei min, Bao ^a   Peng, Shi ^a   Zhongbo, Yu ^a,b   Peng, Jiang ^a  

^a HOHAI UNIVERSITY   (China)

^b UNIVERSITY OF NEVADA   (United States)

Author keywords

Floods; Forecasting; Rivers; Tidal currents

Indexed keywords

FLOW ROUTING; HYDROLOGIC APPLICATIONS; HYDROLOGIC PROCESS; MODEL CALIBRATION; MUSKINGUM METHOD; ROUTING METHODS; ROUTING MODEL; SEASONAL TRENDS; TEMPORAL VARIATION; TIDAL CURRENTS; TIDAL EFFECTS; TIDAL RIVER; TIDAL WAVES; WEIGHT FACTOR;

FLOODS; OCEAN CURRENTS; RIVERS; STREAM FLOW; TSUNAMIS;

WEATHER FORECASTING;

FLOOD FORECASTING; HYDROLOGICAL MODELING; HYDROLOGY; RIVER; STREAMFLOW; TIDAL CURRENT; TRIBUTARY;

ASIA; CHINA; EURASIA; FAR EAST;

EID: 70549098552     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)HE.1943-5584.0000120     Document Type: Article

References (28)

1. Aldama, A. A. (1990). "Least-squares parameter estimation for Muskingum routing." J. Hydraul. Eng. JHEND80733-9429, 116, 580-586. 10.1061/(ASCE)0733-9429(1990)116:4(580)
2. Bao, W. M. (2006). Hydrological forecasting, China WaterPower, Beijing, 92-137 (in Chinese).
3. Bao, W. M., and Bian, Y. M. (1997). "Study on stage routing model of tidal reach." J. Hydraul. Eng. JHEND80733-9429, 11, 34-38 (in Chinese).
4. Bao, W. M., Zhao, C., Wang, H., and Qu, S. M. (2007). Application of bi-directional stage routing model in a tidal reach, IAHS, Wallingford, U.K., 46-52.
5. Birkhead, A. L., and James, C. S. (2002). "Muskingum river routing with dynamic bank storage." J. Hydrol. JHYDA70022-1694, 264, 113-132. 10.1016/S0022-1694(02)00068-9
6. Campolo, M., Soldati, A., and Andreussi, P. (1999). "Forecasting river flow rate during low-flow periods using neural networks." Water Resour. Res. WRERAQ0043-1397, 35, 3547-3552. 10.1029/1999WR900205
7. Chang, F. J., and Chen, Y. C. (2003). "Estuary water-stage forecasting by using radial basis function neural network." J. Hydrol. JHYDA70022-1694, 270, 158-166. 10.1016/S0022-1694(02)00289-5
8. Chau, K. W. (2006). "Particle swarm optimization training algorithm for ANNs in stage prediction of Shing Mun River." J. Hydrol. JHYDA70022-1694, 329, 363-367. 10.1016/j.jhydrol.2006.02.025
9. Chau, K. W., Wu, C. L., and Li, Y. S. (2001). "Comparison of several flood forecasting models in Yangtze River." J. Hydrol. Eng. JHYEFF1084-0699, 10(6), 485-491. 10.1061/(ASCE)1084-0699(2005)10:6(485)
10. Chen, P. Y., Huang, S. C., Hu, J. C., and Gao, H. C. (2007). "Research on hydrodynamic influence to Jiaojiang River estuary for taking sand from Linhai-Jiaojiang Bridge reach." Zhejiang Hydrotechnics., 4, 11-13 (in Chinese).
11. Chen, S. L. (2000). "The application of upper reach discharge peak superposition method in multi-tributary river." Water Resour. Hydropower Eng. (Beijing) ZZZZZZ1000-0860, 1, 6-9.
12. Chen, Y. C., and Chiu, C. L. (2002). "An efficient method of discharge measurement in tidal streams." J. Hydrol. JHYDA70022-1694, 265, 212-224. 10.1016/S0022-1694(02)00100-2
13. Cheng, C. T., and Chau, K. W. (2001). "Fuzzy iteration methodology for reservoir flood control operation." J. Am. Water Resour. Assoc. JWRAF51093-474X, 37, 1381-1388. 10.1111/j.1752-1688.2001.tb03646.x
14. Cheng, C. T., Lin, J. Y., Sun, Y. G., and Chau, K. W. (2005). "Long-term prediction of discharges in Manwan Hydropower using adaptive-network-based fuzzy inference systems models." Lect. Notes Comput. Sci. LNCSD90302-9743, 3612, 1152-1161.
15. Duan, Q. S. (2005). "Discussion on the application of combined-discharge forecasting method at Liujiahe gauging in Beiluo River." J. of Yanan University, 24, 75-78.
16. Franchini, M., and Lamberti, P. (1994). "A flood routing Muskingum type simulation and forecasting model based on level data alone." Water Resour. Res. WRERAQ0043-1397, 30, 2183-2196. 10.1029/94WR00536
17. Gill, M. A. (1992). "Numerical solution of Muskingum equation." J. Hydraul. Eng. JHEND80733-9429, 118, 804-809. 10.1061/ (ASCE)0733-9429(1992)118:5(804)
18. Hsu, K. L., Gupta, H. V., and Sorooshian, S. (1995). "Artificial neural network modeling of the rainfall-runoff process." Water Resour. Res. WRERAQ0043-1397, 31, 2517-2530. 10.1029/95WR01955
19. Huang, G. R., Zhu, Q. P., Ma, J., and Rui, X. F. (1999). "The application of water-stage routing model in water-stage routing." Hydrology in China., 2, 1-5 (in Chinese).
20. Lin, J. Y., Cheng, C. T., and Chau, K. W. (2006). "Using support vector machines for long-term discharge prediction." Hydrol. Sci. J. HSJODN0262-6667, 51, 599-612. 10.1623/hysj.51.4.599
21. Singh, V. P., and Mccann, R. C. (1980). "Some notes of Muskingum method of flood routing." J. Hydrol. JHYDA70022-1694, 48, 343-361. 10.1016/0022-1694(80)90125-0
22. Wang, R., Xia, J., Zhang, X., Liu, X., Li, L., and Tang, R. L. (2007a). "Comparison of runoff forecasting methods in multi-tributary river." Yellow River., 29, 29-32 (in Chinese).
23. Wang, Z. G., Xia, J., Liu, C. M., Ou, C. P., and Zhang, Y. Y. (2007b). "Comments on sensitivity analysis, calibration of distributed hydrological model." Nat. Resour. J. NRJOAB0028-0739, 22, 649-655 (in Chinese).
24. Wu, C. Z., Zhang, S. G., and Zhou, Y. H. (1996). "Discussion on some problems of combined-discharge flood forecasting scheme." Hydrology in China., 2, 33-37 (in Chinese).
25. Wu, L. L., and Zhang, W. (2005). "Application of generic threshold auto-regressive model to water-stage forecasting for tidal river section." Advances in Science and Technology of Water Resources., 25, 20-23 (in Chinese).
26. Zhang, D. W., and Li, S. Q. (1993). "Flood forecasting using multiple sources regression corresponding water stage method based on virtual stage-discharge curve." Water Resour. Hydropower Eng. (Beijing) ZZZZZZ1000-0860, 5, 13-16 (in Chinese).
27. Zhang, X. F., and Mu, J. B. (2005). "Real-time forecasting method based on 1D unsteady channel flow." J. Hydrodynam. ZZZZZZ1001-6058, 20, 400-404 (in Chinese).
28. Zhu, H. (1993). Hydrological automatic measuring and forecasting system, China WaterPower, Beijing, 35-58 (in Chinese).