文档介绍：Chaotic Performance Analysis and Day Water Level
Prediction of Baiyangdian
Wang Xiuyan Cheng Wuqun Yin Jianmei
Department of water resources and engineering Department of water conservancy and hydropower
Agriculture university of Hebei Research Institute of Investigation and Design of Hebei
Baoding 071001, China Tianjin 300072, China
Chengwuqun@ Y20011223@

Abstract—According to the hydrological data of Baiyangdian have mainly been concentrated in two aspects:the judgment
covering 1956 ~ 2000, the parameters representing of the chaotic performance for the hydrological time series and
characteristics, such as delay time and embedding dimension, are chaotic nonlinear prediction model since introduced water
calculated through the phase space rebuilding technology C-C science field. The time sequence of the day water level is
method. Chaotic performance of day water level series has been studied based on the theory in this paper.
verified on the basis of the maximum Lyapunov index. The
prediction of the day water level sequence get satisfying results
both in the plentiful period and in the dry period within the II. PHASE SPACE RECONSTRUCTION THEORY
predictable time scale by the maximum Lyapunov index model, The phase space reconstruction [1] is the basis for analyzing
which make the chaotic prediction e a new thinking for nonlinear time ser