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	Research of sediment flux from Yellow River to the sea based on wavelet analysis and wavelet neural network
	Ma, Zongwen ; Xu, Xuegong
	2010
英文摘要	Research on sediment flux from river to the sea is a frontier topic in Earth science worldwide. This paper analyzes the characteristics of annual sediment flux from Yellow River to the sea from 1950 to 2007, and presents a feasible approach to predict annual sediment flux. Methods used in this research include wavelet analysis and neural network. The results show that: (1) annual sediment flux variations from Yellow River to the sea have decline tendencies with an average decreasing rate of -20.09 million t/a between 1950 and 2007, and four catastrophe points detected are 1959, 1969, 1985 and 1997; (2) annual sediment flux series has the principal periods of 3-4 years, 8-11years and 24 years, and the period of 3-4 years was influenced by human activities significantly; (3) prediction of annual sediment flux with the help of wavelet neural network (WNN) model is acceptable, which gives a better result than RBFN (Radial Basis Function Network) model. ? 2010 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/ICNC.2010.5584463
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/329825]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Ma, Zongwen,Xu, Xuegong. Research of sediment flux from Yellow River to the sea based on wavelet analysis and wavelet neural network. 2010-01-01.

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