Comparison of ANN approach with 2D and 3D hydrodynamic models for simulating estuary water stage

Advances in Engineering Software

Volumn 45, Issue 1, 2012, Pages 69-79

  Chen, Wei Bo ^a   Liu, Wen Cheng ^b   Hsu, Ming Hsi ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b NATIONAL UNITED UNIVERSITY   (Taiwan)

Author keywords

Artificial neural network; Estuary; Three dimensional model; Training and testing; Vertical two dimensional model; Water stage

Indexed keywords

ESTUARIES; FORECASTING; HARMONIC ANALYSIS; HYDRODYNAMICS; MODELS; NEURAL NETWORKS; NUMERICAL METHODS;

3D MODELS; ARTIFICIAL NEURAL NETWORK; ESTUARINE MANAGEMENT; FRESHWATER DISCHARGE; HARMONIC ANALYSIS METHOD; HUMAN ACTIVITIES; HYDRODYNAMIC MODEL; INPUT AND OUTPUTS; MODELING APPROACH; NONLINEAR CHARACTERISTICS; NORTHERN TAIWAN; NUMERICAL MODELING; REASONABLE ACCURACY; SIMULATED RESULTS; TESTING PHASE; THREE-DIMENSIONAL MODEL; TIDAL LEVEL; TRAINING AND TESTING; TRAINING PHASE; TWO DIMENSIONAL MODEL;

THREE DIMENSIONAL;

EID: 83555161594     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advengsoft.2011.09.018     Document Type: Article

References (32)

1. P. Bacopoulos, Y. Funakoshi, S.C. Hagen, A.T. Cox, and V.J. Cardone The role of meteorological forcing on the St. Johns River (Northeastern Florida) J Hydrol 369 1-2 2009 55 70
2. A.F. Blumberg Numerical model of estuarine circulation J Hydraul Div, ASCE 103 3 1977 295 310
3. M. Campolo, P. Andreussi, and A. Soldati River flood forecasting with a neural network model Water Resour Res 35 4 1997 1191 1197
4. H.K. Chang, and L.C. Lin Multi-point tidal prediction using artificial neural network with tidal-generation forces Coast Eng 53 10 2006 857 864
5. Q. Chen, L. Wang, and R. Tawes Hydrodynamic response of northeastern Gulf of Mexico to hurricanes Estuar Coast 31 6 2008 1098 1116
6. D.T. Cox, P. Tissot, and P. Michaud Water level observations and short-term predictions including meteorological events for entrance of Galveston Bay, Texas J Waterw Port Coast Ocean Eng 128 1 2002 21 29 (Pubitemid 34128779)
7. M.C. Demirel, A. Venancio, and E. Kahya Flow forecast by SWAT model and ANN in Pracana basin, Portugal Adv Eng Softw 40 7 2009 467 473
8. A.T. Doodson The analysis and predictions of tides in shallow water Int Hydrol Rev 33 1958 85 126
9. M.G.G. Foreman, R.F. Henery, R.A. Walters, and V.A. Ballabtyne A finite element model for tides and resonance along the north coast of British Columbia J Geophys Res 98 C2 1993 2509 2531
10. M.T. Hagan, and M. Menhaj Training feedforward networks with the Marquardt algorithm IEEE Trans Neural Netw 5 6 1994 989 993
11. M.H. Hsu, J.C. Fu, and W.C. Liu Flood routing with real-time stage correction method for flash flood forecasting in Tanshui River, Taiwan J Hydrol 283 1-4 2003 267 280
12. M.H. Hsu, A.Y. Kuo, J.T. Kuo, and W.C. Liu Procedure to calibrate and verify numerical models of estuarine hydrodynamics J Hydraul Eng, ASCE 125 2 1999 166 182 (Pubitemid 29212297)
13. M.S. Kang, M.G. Kang, S.W. Park, J.J. Lee, and K.H. Yoo Application of grey model and artificial neural network to flood forecasting J Am Water Resour Assoc 42 2 2006 473 486 (Pubitemid 44858791)
14. T. Kerh, and C.S. Lee Neural networks forecasting of flood discharge at an unmeasured station using river upstream information Adv Eng Softw 37 8 2006 533 543 (Pubitemid 44066801)
15. J.T. Kuo, M.H. Hsieh, W.S. Lung, and N. She Using artificial neural network for reservoir eutrophication prediction Ecol Model 200 1-2 2007 171 177 (Pubitemid 44828246)
16. T.L. Lee Predictions of typhoon storm surge in Taiwan using artificial networks Adv Eng Softw 40 11 2009 1200 1206
17. W.C. Liu, M.H. Hsu, and A.Y. Kuo Three-dimensional hydrodynamic and salinity transport modelling of Danshuei River estuarine system and adjacent coastal sea, Taiwan Hydrol Process 21 22 2007 3057 3071 (Pubitemid 350041892)
18. A.M. Melesse, J. Krishnaswamy, and K. Zhang Modeling coastal eutrophication at Florida Bay using neural network J Coast Res 24 2B 2008 190 196 (Pubitemid 351532403)
19. K. Mizumura Application of Kalman filtering to ocean data J Waterw Port Coast Ocean Eng 110 3 1984 334 343 (Pubitemid 151306)
20. S. Palani, S.L. Liong, and P. Tkalich An ANN application for water quality forecasting Mar Pollut Bull 56 9 2008 1586 1597
21. S. Rajasekaran, K. Thiruvenkatasamy, and T.L. Lee Tidal level forecasting using functional and sequential learning neural networks Appl Math Model 30 1 2005 85 103
22. D.E. Rumelhart, G.E. Hinton, and R.J. Williams Learning representations by back-propagating errors Nature 323 1986 533 536 (Pubitemid 16025374)
23. J. Shen, H. Wang, M. Sisson, and W. Gong Storm tide simulation in the Chesapeake Bay using an unstructured grid model Estuar Coast Shelf Sci 68 1-2 2006 1 16 (Pubitemid 43782983)
24. D. Silverman, and J.A. Dracup Artificial neural networks and long-range precipitation prediction in California J Appl Meteorol 39 1 2000 57 66 (Pubitemid 30203327)
25. K.P. Singh, A. Basant, A. Malik, and G. Jain Artificial neural network modeling of river water quality - a case study Ecol Model 220 6 2009 888 895
26. L. Umlauf, and H. Buchard A generic length-scale equation for geophysical turbulence models J Mar Res 61 2 2003 235 265 (Pubitemid 37042355)
27. T. Wang, K.L. Yang, and Y.X. Guo Application of artificial neural networks to forecasting ice conditions of the Yellow River in the Inner Mongolia Reach J Hydrol Eng 13 9 2008 811 816
28. W.C. Wang, K.W. Chau, C.T. Cheng, and Q. Lin A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series J Hydrol 374 3-4 2009 294 306
29. WRA. Hydrological year book of Taiwan. Ministry of Economic Affairs, Water Resources Agency, Taipei, Taiwan, ROC, 2002.
30. P.H. Yen, C.D. Jan, Y.P. Lee, and H.F. Lee Application of Kalman filter to short-term tidal level J Waterw Port Coast Ocean Eng 122 5 1996 226 231
31. S.H. You, and J.W. Seo Storm surge prediction using artificial neural network model and cluster analysis Natural Hazards 51 1 2009 97 114
32. Y.L. Zhang, and A.M. Baptista SELFE: A semi-implicit Eulerian-Lagrangian finite-element model for cross-scale ocean circulation Ocean Model 21 3-4 2008 71 96