Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Ecomorphodynamic approaches to river anabranching patterns
 
research article

Ecomorphodynamic approaches to river anabranching patterns

Crouzy, Benoît  
•
Baerenbold, Fabian
•
D’Odorico, Paolo
Show more
2016
Advances in Water Resources

We investigate the influence of vegetation on river morphological instabilities using an analytical framework. We first discuss the important role of the hydrological (flooding frequency) and biological (vegetation development rate) timescales. As long as the changes in riverbed morphology and vegetation over an interval comprising one flood and one low-flow period are small, we show that it is possible to simplify the description of a vegetated river with non-constant discharge. We propose physically-based and effective (neural) models for the feedback between vegetation and morphodynamics. Physically-based approaches use equations of morphodynamics extended to account for the interplay between flow, sediment and vegetation dynamics. While their foundation is solid, a physically-based description is only feasible for simple vegetation cover (grass to shrubs). For complex vegetated obstacles we present as an alternative effective approaches, explicitly including interactions (local and non-local) between obstacles. We focus on the role of vegetation in the emergence of ridge patterns observed in the presence of an ephemeral flow and correspondingly derive a set of conditions for patterns. (C) 2015 Elsevier Ltd. All rights reserved.

  • Details
  • Metrics
Type
research article
DOI
10.1016/j.advwatres.2015.07.011
Web of Science ID

WOS:000377934400002

Author(s)
Crouzy, Benoît  
Baerenbold, Fabian
D’Odorico, Paolo
Perona, Paolo  
Date Issued

2016

Publisher

Elsevier

Published in
Advances in Water Resources
Volume

93B

Start page

156

End page

165

Subjects

Riparian vegetation

•

Physical model

•

Neural model

•

Stability analysis

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
AHEAD  
Available on Infoscience
August 26, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/117398
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés