水资源与水工程学报2011，Vol.22Issue(4)：140-143,4.
基于小波变换的水文预报FAR模型
FAR hydrologic forecast model based on wavelet transformation
王俊丽 1张德生1
作者信息
- 1. 西安理工大学理学院,陕西西安710054
- 折叠
摘要
Abstract
Due to the non - stability of monthly runoff time series, firstly, the paper combined FAR model and wavelet transformation, used the Daubechies Wavelet in the Mallat algorithm and the multi - sample estimate, and established FAR hydrologic forcast model based on the wavelet transform. Then, on the basis of the monthly runoff records dating from Jan. 1972 to Dec. 2006 of Wuhu Station in Yangtze River, established the FAR model and forecasted manthly runoff from Jan. 2007 to Dec. 2008. Compared with the simple FAR model, the results showed that the residual of fitting and predition of the FAR model based on the wavelet transformation are significantly reduced. The FAR model based on wavelet transfo-mation superior to the FAR model.关键词
月径流数据/FAR模型/小波变换/多项式样条估计Key words
monthly runoff records/ FAR model/ wavelet transformation/ multi-sample estimation分类
水利科学引用本文复制引用
王俊丽,张德生..基于小波变换的水文预报FAR模型[J].水资源与水工程学报,2011,22(4):140-143,4.
