Detecting determinism and nonlinearity in river-flow time series

Research output: Contribution to journalArticle

27 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)763-780
Number of pages18
JournalHydrological Sciences Journal
Volume48
Issue number5
DOIs
StatePublished - Oct 1 2003

All Science Journal Classification (ASJC) codes

  • Water Science and Technology

Keywords

  • Entropy
  • Nonlinear time series analysis
  • Rainfall runoff transformation
  • Recession curves
  • River-flow forecasting

Fingerprint Dive into the research topics of 'Detecting determinism and nonlinearity in river-flow time series'. Together they form a unique fingerprint.

  • Cite this