z-logo
open-access-imgOpen Access
X-ray computed tomography reveals that grain protrusion controls critical shear stress for entrainment of fluvial gravels
Author(s) -
Rebecca Hodge,
Hal Voepel,
Julian Leyland,
David Sear,
Sharif Ahmed
Publication year - 2019
Publication title -
geology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.609
H-Index - 215
eISSN - 1943-2682
pISSN - 0091-7613
DOI - 10.1130/g46883.1
Subject(s) - geology , grain size , bed load , flume , entrainment (biomusicology) , fluvial , shear (geology) , sediment , geotechnical engineering , critical resolved shear stress , geomorphology , geometry , mineralogy , flow (mathematics) , sediment transport , materials science , petrology , rheology , shear rate , composite material , structural basin , mathematics , rhythm , philosophy , aesthetics
The critical shear stress (τc) for grain entrainment is a poorly constrained control on bedload transport rates in rivers. Direct calculations of τc have been hindered by the inability to measure the geometry of in situ grains; i.e., the shape and location of each grain relative to surrounding grains and the bed surface. We present the first complete suite of three-dimensional (3-D) grain geometry parameters for 1055 water-worked grains, and use these to parameterize a new 3-D grain entrainment model and hence estimate τc. The 3-D data were collected using X-ray computed tomography scanning of sediment samples extracted from a prototype scale flume experiment. We find that (1) parameters including pivot angle and proportional grain exposure do not vary systematically with relative grain size; (2) τc is primarily controlled by grain protrusion, not pivot angle; and (3) larger grains experience larger forces as a result of projecting higher into the flow profile, producing equal mobility. We suggest that grain protrusion is a suitable proxy for assessing gravel-bed stability.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom