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. Evolution and selection of river networks: Statics, dynamics, and complexity
 
research article

Evolution and selection of river networks: Statics, dynamics, and complexity

Rinaldo, Andrea  
•
Rigon, Riccardo
•
Banavar, Jayanth R.
Show more
2014
Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS)

Moving from the exact result that drainage network configurations minimizing total energy dissipation are stationary solutions of the general equation describing landscape evolution, we review the static properties and the dynamic origins of the scale-invariant structure of optimal river patterns. Optimal channel networks (OCNs) are feasible optimal configurations of a spanning network mimicking landscape evolution and network selection through imperfect searches for dynamically accessible states. OCNs are spanning loopless configurations, however, only under precise physical requirements that arise under the constraints imposed by river dynamics-every spanning tree is exactly a local minimum of total energy dissipation. It is remarkable that dynamically accessible configurations, the local optima, stabilize into diverse metastable forms that are nevertheless characterized by universal statistical features. Such universal features explain very well the statistics of, and the linkages among, the scaling features measured for fluvial landforms across a broad range of scales regardless of geology, exposed lithology, vegetation, or climate, and differ significantly from those of the ground state, known exactly. Results are provided on the emergence of criticality through adaptative evolution and on the yet-unexplored range of applications of the OCN concept.

  • Details
  • Metrics
Type
research article
DOI
10.1073/pnas.1322700111
Web of Science ID

WOS:000331396500015

Author(s)
Rinaldo, Andrea  
Rigon, Riccardo
Banavar, Jayanth R.
Maritan, Amos
Rodriguez-Iturbe, Ignacio
Date Issued

2014

Publisher

National Academy of Sciences

Published in
Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS)
Volume

111

Issue

7

Start page

2417

End page

2424

Subjects

trees and networks

•

adaptive evolution

•

feasible optimality

•

erosional mechanics

•

river network patterns

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ECHO  
Available on Infoscience
April 2, 2014
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/102389
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