Prediction of Sediment Load Concentration in Rivers using Artificial Neural Network Model
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Abstract
An artificial neural model is used to estimate the natural sediment discharge in rivers in terms of sediment concentration. This is achieved by training the network to extrapolate several natural streams data collected from reliable sources. The selection of water and sediment variables used in the model is based on the prior knowledge of the conventional analyses, based on the dynamic laws of flow and sediment. Choosing an appropriate neural network structure and providing field data to that network for training purpose are addressed by using a constructive back-propagation algorithm. The model parameters, as well as fluvial variables, are extensively investigated in order to get the most accurate results. In verification, the estimated sediment concentration values agree well with the measured ones. The model is evaluated by applying it to other groups of data from different rivers. In general, the new approach gives better results compared to several commonly used formulas of sediment discharge.
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Reference
Ackers, P., (1966). “Expertments on small streams in alluvium.” J. Hydraul. Div., Am. Soc. Civ. Eng., 329–345.
Ackers, P., and White, W. R., (1973). “Sediment transport-new approach and analysis.” J. Hydraul. Div., Am. Soc. Civ. Eng., 99(11), 2041–2060.
Alonso, C. V., Neibling, W. H., and Foster, G. R., (1982). “Estimating sediment transport capacity in watershed modeling.” Trans. ASCE, 24(5), 1211–1226.
Antognetti, P., and Milutinovic, V. (1991). Neural networks: Concepts, applications, and implementations, Prentice-Hall Englewood Cliffs, N.J.
Bagnold, R. A. (1996). “An Approach to the sediment transport problem from general physics.” U.S. Geological Survey Professional Paper No. 422-J.
Brownlie, W. R. (1981). “Prediction of flow depth and sediment discharge in open channels.” Rep. No. KH-R-43B, Lab. of Hyd. Res., California Institute of Technology, Pasadena, Calif.
Caudhill, M., and Butler, C. (1992). Understanding neural networks: Computer explorations, Vols. I and II, MIT Press, Cambridge, Mass.
Chang, F. M., Simons, D. B., and Richardson, E. V. (1967). “Total bed-material discharge in alluvial channels.” Proc., 12th Congress, IAHR, Fort Collins, Colo. 132–140.
Colby, B. R., and Hembree, C. H. (1955). “Computation of total sedimentation discharge, Nio-brara River, Nebraska.” U.S. Geological Survey Water Supply Paper No. 1357, U.S. Geological Survey, Washington, D.C.
Culberston, J. K., and Dawdy, D. R. (1964). “A study of fluvial characteristics and hydraulic variables, Middle Rio Grande.” U.S. Geological Survey Water Supply Paper No. 1498-F, U.S. Geological Survey, Washington, D.C.
Engelund, F., and Hansen, E. (1967). A monograph on sediment transport in alluvial streams, Danish Technical (Teknisk Forlag), Copenhagen.
Flood, I., and Kartam, N., (1994). “Neural networks in civil engineering. I: Principles and understanding.” J. Comput. Civ. Eng., 8(2), 131–148.
Freeman, J. A., and Skapura, D. M. (1991). Neural networks, Algorithms, applications, and programming techniques, Addison–Wesley, Reading, Mass.
Grubert, J. P., (1995). “Application of neural networks in stratified flow stability analysis.” J. Hydraul. Eng., 121(7), 523–532.
Hubbell, D. W., and Matejka, D. Q. (1959). “Investigations of sediment transportation, Middle Loup River at Dunning, Nebraska.” U.S. Geological Survey Water Supply Paper No. 1476, U.S. Geological Survey, Washington, D.C.
Ichikawa, H. (1993). Hierarchy neural network, Kyoristu, Japan.
Jordan, P. R. (1965). “Fluvial sediment of the Mississippi River at Sant Louis, Missouri.” U.S. Geological Survey Water Supply Paper No. 1802, U.S.G.S., Washington, D.C.
Karim, M. F., and Kennedy, J. F., (1990). “Menu of coupled velocity and sediment-discharge relationship for river.” J. Hydraul. Eng., 116(8), 987–996.
Karunanithi, N., Grenney, W. J., Whitly, D., and Bovee, K., (1994). “Neural networks for river flow prediction.” J. Comput. Civ. Eng., 8(2), 201–220.
Laursen, E. M., (1958). “The total sediment load of streams.” J. Hydraul. Div., Am. Soc. Civ. Eng., 54(1), 1–36.
Minns, A. W. (1998). Artificial neural networks as subsymbolic process descriptors, Balkema, Rotterdam, The Netherlands.
Nakato, T., (1990). “Tests of selected sediment-transport formulas.” J. Hydraul. Eng., 116(3), 362–379.
Nordin, C. F. (1964). “Aspects of flow resistance and sediment transport, Rio Grande near Benadillo.” U.S. Geological Survey Water Supply Paper No. 1498-H, USGS, U.S. Geological Survey, Washington, D.C.
Nordin, C. F., and Beverage, J. P. (1965). “Sediment transport in the Rio Grande New Mexico.” Professional Paper No. 462-F, U.S. Geological Survey, Washington, D.C.
Przedwojski, B., Blazejewski, R., and Pilarczyk, K. W. (1995). River training techniques, fundamentals, design and application, Balkema, Rotterdam, The Netherlands.
Rumelhart, D. E., and McClelland, J.L. (1986). Parallel distributed processing, MIT Press, Cambridge, Mass.
Sanchez, L., Arroyo, V., Garcia, J., Koev, K., and Revilla, J., (1998). “Use of neural networks in design of coastal sewage system.” J. Hydraul. Eng., 124(5), 457–464.
Shen, H. W., and Hung, C. S. (1972). “An engineering approach to total bed material load by regression analysis.” Proc., Sedimentation Symposium, Chap. 14, 14.1–14.7.
Shinohara, K., and Tsubaki, T. (1959). “On the characteristics of sand waves formed upon the beds of open channels and rivers.” Reports of Research Institute of Applied Mechanics, Kyushu Univ. 7(25).
Toffaleti, F. B., (1969). “Definitive computations of sand discharge in rivers.” J. Hydraul. Div., Am. Soc. Civ. Eng., 95(1), 1831–1842.
Vanoni, V. A., ed. (1975). “Sedimentation engineering.” ASCE manuals and reports on engineering practice, No. 54, 1st Ed., ASCE, New York.
Van Rijn, L. C., (1984a). “Sediment transport, Part I: Bed load transport.” J. Hydraul. Eng., 110(10), 1431–1456.
Van Rijn, L. C., (1984b). “Sediment transport, Part II: Suspended load transport.” J. Hydraul. Eng., 110(11), 1613–1641.
Van Rijn, L. C., (1984c). “Sediment transport, Part III: Bed forms and alluvial roughness.” J. Hydraul. Eng., 110(2), 1733–1754.
Velikanov, M. A. (1954). “Gravitational theory of sediment transport.” J. Sci. Soviet Union, Geophysics, Vol. 4 (in Russian).
Yang, C. C., Chang, L. C., and Chen, C. S., (1999). “Comparison of integrated artificial neural network with time series modeling for flood forecast.” J. Hydrosci. Hydr. Eng., 17(2), 37–50.
Yang, C. T., (1972). “Unit stream power and sediment transport.” J. Hydraul. Div., Am. Soc. Civ. Eng., 98(10), 1805–1826.
Yang, C. T., (1973). “Incipient motion and sediment transport.” J. Hydraul. Div., Am. Soc. Civ. Eng., 99(10), 1679–1704.
Yang, C. T. (1996). Sediment transport, theory and practice, McGraw–Hill, New York.
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Copyright © 2002 American Society of Civil Engineers.
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Received: Feb 10, 2000
Accepted: Dec 6, 2001
Published online: May 15, 2002
Published in print: Jun 2002
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