Prediction of Siltation from a Rainfall in Check Dam Based on RBF Neural Network

Abstract:

Due to the complex nonlinear characteristics between erosive rainfall and corresponding sediment volume, radial basis function (RBF) neural network is adopted to predict siltation in matlab2010 environment, and the results were compared with that one from BP neural network. In the course, the 3 major indicators of a rainfall such as single rainfall erosivity (R), maximum rainfall intensity in thirty minutes (I30) , rainfall quantity(P) are as input vectors, with the actual sediment deposition as a target vector. The results show that: RBF neural network is better than BP neural network in forecasting accuracy, computation speed, fitting accuracy.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 2150-2154
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.2150
• Online since: December 2012
• Authors: Guo Zhong Wang, Ya Dong Mei, Jian Gang Qu, Rui Shuang, Jianhua Xu
• Keywords: Check Dam, Erosive Rainfall, Neural Network (NN), Siltation

References

[1] Fang X M, Wan Z H and Kuang S F. Mechanism blocking sand and effect of check dam in midstream of Yellow River [J]. Journal of hydraulic engineering, 1998, No.10, P. 49-53

[2] Jiao J Y, Wang W Z, Li J, et al. Silting land and sediment blocking benefit of check dam in hilly and gully region on the loess plateau[J].Transaction of the CSAE, 2003, Vol.19, No.6, P.302-306

[3] Li M. Check dam effect in management of soil erosion n midstream of yellow river [J]. Yellow River, 2003, Vol.25, No.12, P. 25-27

[4] Yellow River Authority of Upper- Middle Reaches. Check dam introduction [M]. Beijing: China plan press, (2003)

[5] Zhang B. Study on decision and management system of robot football [D].Mastership dissertation of Shanghai University, (2008)

[6] Li J T and Yang J F. Prediction of Dalian Station Passenger Volume Based on RBF Neural Network [J]. 2007, Vol.28, No.1, P.32-34

[7] The research center of Phase. Neural network and implementation by MATLAB 7 [M].Beijing: Electronic industry press, (2005)

[8] Mu Y F. Study on the application of RBF neural network learning algorithm for pattern classification[D].Mastership of Dalian university of technology, (2006)

[9] Wang G Z, Mei Y D, Shuang R, et al. Depositing process of silt dam and model of sediment yield in west mountainous area of Henan Province[J]．Engineering journal of Wuhan University, 2010, Vol.43, No.5, P. 558-561

DOI: 10.1109/iita-grs.2010.5603019

[10] Guan X J, Li Z B, Li M, et al. prediction of warping dam in single event rainfall based on BP neural network [J]. J. of Northwest Sci-Tech University of A & F (Nat. Sci. Ed.), 2007, Vol.35, No.9, P.22