Artificial neural network for bedload estimation in alluvial rivers

References

• ASCE . 2000a . Artificial neural networks in hydrology I: Preliminary concepts . J. Hydrologic Engng. , 5 ( 2 ) : 115 – 123 .
   Web of Science ®Google Scholar
• ASCE . 2000b . Artificial neural networks in hydrology II: Hydrologic applications . J. Hydrologic Engng. , 5 ( 2 ) : 124 – 137 .
   Web of Science ®Google Scholar
• Bagnold , R. A. 1980 . An empirical correlation of bedload transport rates in flumes and natural rivers . Proc. Royal Society, London A , 405 : 369 – 374 .
   Web of Science ®Google Scholar
• Bhattacharya , B. , Price , R. K. and Solomatine , D. P. A data mining approach to modelling sediment transport . 6th Int. Conf. Hydroinformatics . Edited by: Liong , S. Y. , Phoon , K. K. and Babovic , V. pp. 1663 – 1670 . Singapore : World Sci. Publ. Comp .
   Google Scholar
• Bhattacharya , B. , Price , R. K. and Solomatine , D. P. 2007 . Machine learning approach to modelling sediment transport . J. Hydr. Engng. , 133 ( 4 ) : 440 – 450 .
   Web of Science ®Google Scholar
• Bowden , G. J. , Maier , H. R. and Dandy , G. C. 2002 . Optimal division of data for neural network models in water resources applications . Water Resour. Res. , 38 ( 2 ) : 1 – 11 .
   Google Scholar
• Bravo-Espinosa , M. , Osterkamp , W. R. and Lopes , V. L. 2003 . Bedload transport in alluvial channels . J. Hydr. Engng. , 129 ( 10 ) : 783 – 795 .
   Web of Science ®Google Scholar
• Brownlie , W. R. 1981 . Compilation of alluvial channel data: Laboratory and field , Pasadena, CA, , USA : W.M. Keck Laboratory of Hydraulics and Water Resources, Division of Engineering and Applied Science, California Institute of Technology . Report KH-R-43B
   Google Scholar
• Dawson , C. and Wilby , R. 1999 . A comparison of Artificial Neural Networks for river flow forecasting . Hydrology and Earth Sys. Sci. , 3 ( 4 ) : 529 – 540 .
   Web of Science ®Google Scholar
• Dawson , C. and Wilby , R. 2001 . Hydrological modelling using Artificial Neural Networks . Prog. Phys. Geography , 25 ( 1 ) : 80 – 108 .
   Web of Science ®Google Scholar
• Du Boys , P. 1879 . Etudes du régime et l'action exercée par les eaux sur un lit à fond de graviers indefiniment affouiable . Ann. Ponts et Chaussées , 49 ( 18 ) : 141 – 195 .
   Google Scholar
• Einstein , H. A. 1950 . “ The bedload function for sediment transportation in open channels ” . In Tech. Bull. 1026 , Washington DC, , USA : U.S. Dept. Agric. Soil Conserv. Serv .
   Google Scholar
• Flood , I. 2006 . Next generation artificial neural networks for civil engineering . J. Comput. Civil Engng. , 20 ( 5 ) : 305 – 307 .
   Web of Science ®Google Scholar
• Flood , I. and Kartam , N. 1994a . Neural networks in civil engineering . J. Comput. Civ. Engng. , 8 ( 2 ) : 131 – 162 .
   Web of Science ®Google Scholar
• Gomez , B. 1991 . Bedload transport . Earth-Science Rev. , 31 : 89 – 132 .
   Web of Science ®Google Scholar
• Gomez , B. and Church , M. 1989 . Assessment of bed load sediment transport formulae for gravel bed rivers . Water Resour. Res. , 25 ( 6 ) : 1161 – 1186 .
   Web of Science ®Google Scholar
• Guo , J. 1997 . Discussion of The Albert Shields story . J. Hydr. Engng. , 123 ( 7 ) : 666
   Web of Science ®Google Scholar
• Gupta , M. M. , Jin , L. and Homma , N. 2003 . Static and Dynamic Neural Networks , Hoboken, NJ : Wiley .
   Google Scholar
• Habersack , H. and Laronne , J. B. 2002 . Evaluation and improvement of bed load discharge formulas based on Helley-Smith Sampling in anAlpine gravel bed river . J. Hydr. Engng. , 128 ( 5 ) : 484 – 499 .
   Web of Science ®Google Scholar
• Hagan , T. M. , Demuth , H. and Beale , B. 1996 . Neural Networks Design , Boston, , USA : PWS .
   Google Scholar
• Hagan , T. M. and Menhaj , M. B. 1994 . Training feedforward networks with the Marquardt algorithm . IEEE Trans. Neural Network , 5 ( 6 ) : 989 – 993 .
   PubMed Web of Science ®Google Scholar
• Haykin , S. 1999 . Neural networks: A comprehensive foundation , 2nd edn. , Upper Saddle River, NJ : Prentice Hall .
   Google Scholar
• Hornik , K. , Stinchcombe , M. and White , H. 1989 . Multilayer feed forward networks are universal approximators . Neural Networks , 2 : 359 – 366 .
   Web of Science ®Google Scholar
• Legates , D. R. and McCabe , G. J. Jr. 1999 . Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic validation . Water Resour. Res. , 35 ( 1 ) : 233 – 241 .
   Web of Science ®Google Scholar
• Leopold , L. B. and Emmett , W. W. 1997 . Bedload and river hydraulics—Inferences from the East Fork River Denver, CO USGS Professional Paper 1583
   Google Scholar
• Lim , S. and Cheng , N. 1998 . Prediction of live-bed scour at bridge abutments . J. Hydr. Engng. , 124 ( 6 ) : 635 – 638 .
   Web of Science ®Google Scholar
• Lisle , T. E. 1982 . Effects of aggradation and degradation on riffle-pool morphology in natural gravel channels, Northwestern California . Water Resour. Res. , 18 ( 6 ) : 1643 – 1651 .
   Web of Science ®Google Scholar
• Maier , H. R. and Dandy , G. C. 2000 . Neural networks for the prediction and forecasting of water resources variables: A review of modelling issues and applications . Environ. Model. Software , 15 : 101 – 124 .
   Web of Science ®Google Scholar
• Martin , Y. 2003 . Evaluation of bed load transport formulae using field evidence from theVedder River, British Columbia . Geomorphology , 53 : 75 – 95 .
   Web of Science ®Google Scholar
• Martin , Y. and Church , M. 2000 . Re-examination of Bagnold's empirical bedload formulae . Earth Surf. Process. Landforms , 25 : 1011 – 1024 .
   Web of Science ®Google Scholar
• Martin , Y. and Ham , D. 2005 . Testing bedload transport formulae using morphologic transport estimates and field data: Lower Fraser River, British Columbia. Earth Surf. Process . Landforms , 30 : 1265 – 1282 .
   Web of Science ®Google Scholar
• Formulas for bed-load transport . 2nd IAHR Congress . pp. 39 – 64 . Stockholm
   Google Scholar
• Parker , G. 1990 . Surface-based bedload transport relation for gravel rivers . J. Hydr. Res. , 28 ( 4 ) : 417 – 436 .
   Web of Science ®Google Scholar
• Parker , G. , Klingeman , P. C. and McLean , D. G. 1982 . Bedload and size distribution in paved gravel-bed streams . J. Hydr. Div. ASCE , 108 : 544 – 571 . HY4
   Web of Science ®Google Scholar
• Ravindran , A. , Ragsdell , K. M. and Reklaitis , G. V. 2006 . Engineering Optimization: Methods and Applications , 2nd edn. , Hoboken, NJ : Wiley .
   Google Scholar
• Schoklitsch , A. 1950 . Handbuch des Wasserbaues , Wien : Springer . [in German]
   Google Scholar
• Shresta , R. R. , Theobald , S. and Nestmann , F. 2005 . Simulation of flood flowin a river system usingArtificial Neural Networks for flowforecasting . Hydrology and Earth Sys. Sci. , 9 ( 4 ) : 313 – 321 .
   Web of Science ®Google Scholar
• Sun , Z. and Donahue , J. 2000 . Statistically derived bed load formula for any fraction of nonuniform sediment . J. Hydr. Engng. , 126 ( 2 ) : 105 – 111 .
   Web of Science ®Google Scholar
• van Rijn , L. 1984 . Sediment transport I: Bed load transport . J. Hydr. Engng. , 110 ( 10 ) : 1431 – 1455 .
   Web of Science ®Google Scholar
• Warburton , J. and Davies , T. 1994 . Variability of bedload transport and channel morphology in a braided river hydraulic model . Earth Surf. Process. Landforms , 19 ( 5 ) : 403 – 421 .
   Web of Science ®Google Scholar
• Wilcock , P. R. and Crowe , J. C. 2003 . Surface-based transport model for mixed-size sediment . J. Hydr. Engng. , 129 ( 2 ) : 120 – 128 .
   Web of Science ®Google Scholar
• Williams , G. P. and Rosgen , D. L. 1989 . Measured total sediment loads (Suspended loads and bedloads) for 93 United States streams , Denver CO, , USA : USGS . Report 89-67
   Google Scholar
• Yang , C. T. 1984 . Unit stream power equation for gravel . J. Hydr. Engng. , 110 ( 12 ) : 1738 – 1797 .
   Google Scholar
• Yang , S.-Q. 2005 . Sediment transport capacity in rivers . J. Hydr. Res. , 42 ( 3 ) : 131 – 138 .
   Web of Science ®Google Scholar
• Yang , S.-Q. and Lim , S.-Y. 2003 . Total load transport formula for flow in alluvial channels . J. Hydr. Engng. , 129 ( 1 ) : 68 – 72 .
   Web of Science ®Google Scholar
• Zanke , U. 1999 . Analytische Lösung für den Geschiebetrieb . Wasser und Boden , 51 ( 6 ) : 46 – 52 . [in German]
   Google Scholar