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Wiley InterScience

Sedimentology

Sedimentology

Volume 55 Issue 1, Pages 137 - 153

Published Online: 14 Sep 2007

Journal compilation © 2010 International Association of Sedimentologists



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Morphological characterization of cluster microforms
K. B. STROM* 1 and A. N. PAPANICOLAOU*
  *Department of Civil and Environmental Engineering, IIHR-Hydroscience & Engineering, University of Iowa, Iowa City, IA, USA (E-mail: apapanic@engineering.uiowa.edu)

  1 Present address: Department of Civil and Environmental Engineering, University of Houston, Houston, TX, USA (E-mail: kbstrom@uh.edu).

Copyright 2007 The Authors. Journal compilation 2007 International Association of Sedimentologists
KEYWORDS
Armouring • bedforms • clusters • gravel-bed rivers • microforms • mountain rivers

ABSTRACT

AbstractIntroductionSite DescriptionMethodologyMorphological characterization of cluster microformsReferences

A field study was conducted on two mountain streams in the Cascade Mountains of Washington State on the morphological characterization of cluster microforms. Morphological characterization of clusters is presented in terms of: (i) cluster shape; (ii) cluster geometric properties; and (iii) the spatial arrangement of clusters in the horizontal plane. Clusters were differentiated from other microtopography features such as reticulate structures and transverse ribs, and identified clusters were categorized by shape as being of pebble, line, comet, heap or ring type. The complex spatial arrangement of clusters at the sites was characterized by using a two-dimensional correlation function, which allowed for measurement of the average cluster-spacing properties. For the rivers examined, pebble-shaped clusters were the most frequently observed cluster shape. Cluster geometric properties were found to be controlled by particles of the largest size fraction in the bed and the projected frontal width of the cluster – with cluster length being linearly related to cluster width for cluster width-to-height ratios <3·5. Results of the cluster-spacing analysis suggest that cluster spacing increases with cluster size and decreases with local slope. Application of this principle to the available spacing data shows that cluster spacing λ scales with the ratio of S/d0 such that λS/d0 = constant, where S is the local slope and d0 the diameter of the largest particle in the cluster.


Manuscript received 13 October 2006; revision accepted 7 June 2007

DIGITAL OBJECT IDENTIFIER (DOI)
10.1111/j.1365-3091.2007.00895.x About DOI

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