摘要
结合黄河下游冲淤型河段两个水文站的实测水沙资料,用非线性分析等方法,找出影响河道水位的主要非线性影响因素,在水位拟合模型的基础上,得出水位预报模型,实现水位过程的非线性预报.
Based on the observation data of water and sediment at two hydrometrical stations in the Yellow River, the primary influence factors of stage were selected by using nonlinear analysis and other methods. Based on the fitting models of stage, forecasting models of stage are developed and nonlinear forecasting of stage hydrograph is realized.
出处
《水利水运工程学报》
CSCD
北大核心
2002年第4期44-48,共5页
Hydro-Science and Engineering
基金
水利部科技创新基金(SCX2001-20)
国家重点基础研究发展规划专项经费(G1999043604)资助
关键词
黄河下游
非线性分析
水沙资料
拟合模型
递推法
水位预报
nonlinear analysis
influence factors
data of water and sediment
fitting model
recurrence method
stage forecasting
Yellow River
