BP Model Used for Calculating the High Efficient Sediment-Transport Water Volume in the Lower Yellow River

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Abstract:

Analyzed the sediment-transport process in the Lower Yellow river, the concept and normal calculating method for sediment-transport water volume are proposed. Based on field data of sediment and water volume in the Lower Yellow River from 1950 to 2000, the sediment-transport water volume and unit sediment-transport water volume in LYR are calculated. Furthermore, BP model is set up to calculate the high efficient sediment-transport water volume in the Lower Yellow River. Compared the results of BP model with normal calculating method, BP model is confirmed for calculating the high efficient sediment-transport water volume in the Lower Yellow river.

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Periodical:

Advanced Materials Research (Volumes 225-226)

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1345-1349

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Online since:

April 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Yan, J. 2003, The Efficient Sediment Transport after the Construction of Xiaolangdi Reservoir in the Lower Yellow River, Doctor Thesis of China Institute of Water Resources and Hydropower Research (in Chinese).

Google Scholar

[2] Yan, J., and Hu, Ch. H. 2004, The calculation and application of sediment-transport water volume in the Lower Yellow River", Journal of Sediment Research, pp.91-95 (in Chinese).

Google Scholar

[3] Yue, D. J., and Hou, S. Z., etc. 1996, The Sediment-transport Water Volume Study in Lower Yellow River", Yellow River, pp.32-33, 40 (in Chinese).

Google Scholar

[4] Zhang, X. H., Pang, X. D., Li, Y., and Yue, D. J. 1999, The rule of the component of the sand in trunk stream of Yellow River", The sediment research, pp.32-36 (in Chinese).

Google Scholar

[5] Zhao, H. X., and Chen, J. G., etc. 1997, Sediment-transport Water Volume and Silting Study of Lower Yellow River in Flood Season, Journal of Sediment Research, pp.57-61 (in Chinese)

Google Scholar

[6] LI, M. C., and FENG, Y. L. MATLAB Neural Network Sanmenxia Reservoir Sand-Water Silt Change Forecast and Analysis. Journal of Sediment Research. 2003.8, pp.57-60 (in Chinese).

Google Scholar