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2013 (Vol. 6, Issue: 05)
Article Information:

Analysis and Prediction of Annual Runoff for Fen River Basin

Zhang Kai, Yang Yonggang, Qin Zuodong, Li Hongjian and Meng Zhilong
Corresponding Author:  Yang Yonggang 

Key words:  Annual runoff prediction, fen river basin, radial basis function artificial neural network, , , ,
Vol. 6 , (05): 872-877
Submitted Accepted Published
October 22, 2012 December 14, 2012 June 25, 2013
Abstract:

The runoff characteristics of Fen river basin was analyzed first. According to the runoff data of 1960-2000, autocorrelation analysis method was used to determine model input variables and then radial basis function artificial neural network was used to recognize the relationship between previous annual runoff and later annual runoff. The developed prediction model was used to predict the annual runoff of 2001 to 2015 of Fen river basin. The result shows that: the predicted annual runoff was similar to the observed annual runoff, which means high prediction accuracy; the developed radial basis function artificial neural network model can be used for annual runoff prediction of Fen river basin. The research results are of great importance for water resource planning and management.
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  Cite this Reference:
Zhang Kai, Yang Yonggang, Qin Zuodong, Li Hongjian and Meng Zhilong, 2013. Analysis and Prediction of Annual Runoff for Fen River Basin.  Research Journal of Applied Sciences, Engineering and Technology, 6(05): 872-877.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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