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(Article of periodic en Anglais - 2011)

Document title

Variable self-similar sinuosity properties within simulated river networks

Authors(s) and Affiliation(s)

GAUCHEREL C. (1) ; SALOMON L. (1) ; LABONNE J. (2) ;
(1) INRA, UMR AMAP, Montpellier, FRANCE
(2) INRA, UMR ECOBIOP, Saint-Pée sur Nivelle, FRANCE

Abstract

Here, a new method based on self-similarity maps(SSM) is proposed to spatially explore the stream length self-similar dimension dimension D1 within a river network. To assess the efficiency of the approach, contrasted river networks are simulated using optimal channel networks (OCN), where each network is characterized by an exponent γ conditioning its overall topology. Finally, it is found numerically that the structural averaged stream length self-similar dimension D1 is closely related to the more functional γ parameter. Results form a bridge between the studies on river sinuosity (single channel) and growth of channel networks (watershed). As for every method providing spatial information where they were lacking before, the SSM may soon help to accurately interpret natural networks and help to simulate more realistic channel networks

Source

Article of periodic

published at : Earth surface processes and landforms / ISSN 0197-9337 / CODEN ESPLDB

Editor : Wiley, Chichester - ROYAUME-UNI (1981)

Millesime : 2011, vol. 36, no10 [pp. 1313-1320]

Bibliographic references : 27 ref.

Collation : 3 fig.

Language

Anglais

INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.2153

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2012
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