Detecting determinism and nonlinearity in riverflow time series

被引:27
|
作者
Porporato, A
Ridolfi, L
机构
[1] Duke Univ, Dept Civil & Environm Engn, Durham, NC 27708 USA
[2] Politecn Torino, Dipartimento Idraul Trasporti & Infrastrutture Ci, I-10129 Turin, Italy
关键词
rainfall-runoff transformation; river-flow forecasting; nonlinear time series analysis; recession curves; entropy;
D O I
10.1623/hysj.48.5.763.51457
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The temporal evolution of river-flow dynamics is investigated using methods from nonlinear time series analysis. After a discussion on the possible sources of nonlinear deterministic components, different methods for the detection of nonlinear and deterministic components in river flow time series are illustrated and the application to three river-flow time series from basins of different dimensions and characteristics is presented. All the results of different nonlinear techniques show noticeable, evidence of determinism and nonlinearity at high discharge values, while at low discharge values, and especially during recessions, the series seem to be the result of a mostly linear dynamics. The complexity of the dynamics and the degree of nonlinearity are also discussed in relation to the basin dimensions and the kind of hydroclimatic regime.
引用
收藏
页码:763 / 780
页数:18
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