Quantifying fluvial non linearity and finding self organized criticality? Insights from simulations of river basin evolution

Tom J. Coulthard, Marco J. Van De Wiel

Research output: Contribution to journalArticle

63 Citations (Scopus)

Abstract

A numerical study was undertaken to investigate non linearity and the potential for self-organized criticality (SOC) in the evolution of river basins. Twenty-three simulations were carried out, using the authors' CAESAR landscape evolution model, in which the magnitude of storm events, variability of storm events, sediment heterogeneity, sources of sediment supply, and catchment morphology are systematically varied to evaluate their importance as possible drivers for non linear behavior and SOC. Temporal fluctuations in simulated sediment yield show notable non linear behavior. Storm magnitude and occurrence of landslides appear to have little impact on variability of the sediment yield, when compared to the impacts of sediment heterogeneity, rainfall variability and catchment morphology. Particularly, it appears that the non linearity of sediment yields results from the manner in which the catchment processes the variable rainfall, rather than just the rainfall variability itself. The variations in sediment yield show a power law magnitude-frequency distribution, which is a possible, but inconclusive, indicator of SOC. However, several other, more qualitative arguments can be made to support the case for SOC in these simulations. Specifically, we identify the nature of the critical state and suggest two cascade mechanisms by which the system can organize itself around this critical state. Combined, these arguments indicate that simulated evolution of river basins indeed exhibits SOC, at least with respect to sediment yield. The critical state appears to be an indicator of the connectivity of the drainage network. Thus, the simulations indicate that, unlike traditional SOC systems, the critical state of the system can vary in time, as sudden changes in drainage network connectivity may result in sudden changes in the SOC behavior of the system.

Original languageEnglish
Pages (from-to)216-235
Number of pages20
JournalGeomorphology
Volume91
Issue number3-4
Early online date1 Aug 2007
DOIs
Publication statusPublished - 1 Nov 2007
Externally publishedYes

Fingerprint

sediment yield
basin evolution
critical state
nonlinearity
river basin
drainage network
simulation
catchment
rainfall
connectivity
frequency-magnitude distribution
sediment
landscape evolution
landslide
power law
indicator

Keywords

  • CAESAR
  • Catchment
  • Model
  • Non linear
  • River
  • Self organised criticality

ASJC Scopus subject areas

  • Earth-Surface Processes

Cite this

Quantifying fluvial non linearity and finding self organized criticality? Insights from simulations of river basin evolution. / Coulthard, Tom J.; Van De Wiel, Marco J.

In: Geomorphology, Vol. 91, No. 3-4, 01.11.2007, p. 216-235.

Research output: Contribution to journalArticle

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