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Improving predictions of critical shear stress in gravel bed rivers: Identifying the onset of sediment transport and quantifying sediment structure

Improving predictions of critical shear stress in gravel bed rivers: Identifying the onset of sediment transport and quantifying sediment structure
Improving predictions of critical shear stress in gravel bed rivers: Identifying the onset of sediment transport and quantifying sediment structure
Understanding when gravel moves in river beds is essential for a range of different applications but is still surprisingly hard to predict. Here we consider how our ability to predict critical shear stress (τc) is being improved by recent advances in two areas: (1) identifying the onset of bedload transport; and (2) quantifying grain-scale gravel bed structure. This paper addresses these areas through both an in-depth review and a comparison of new datasets of gravel structure collected using three different methods. We focus on advances in these two areas because of the need to understand how the conditions for sediment entrainment vary spatially and temporally, and because spatial and temporal changes in grain-scale structure are likely to be a major driver of changes in τc. We use data collected from a small gravel-bed stream using direct field-based measurements, terrestrial laser scanning (TLS) and computed tomography (CT) scanning, which is the first time that these methods have been directly compared. Using each method, we measure structure-relevant metrics including grain size distribution, grain protrusion and fine matrix content. We find that all three methods produce consistent measures of grain size, but that there is less agreement between measurements of grain protrusion and fine matrix content.
0197-9337
Hodge, Rebecca A.
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Voepel, Hal E.
7330972a-c61c-4058-b52c-3669fadfcf70
Yager, Elowyn M.
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Leyland, Julian
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Johnson, Joel P.L.
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Sear, David A.
ccd892ab-a93d-4073-a11c-b8bca42ecfd3
Ahmed, Sharif
ddc6bab1-9d76-4391-b7ea-ae68d6f3924d
et al.
Hodge, Rebecca A.
b1d32ae8-df98-4726-a2f7-83f34a01ddfd
Voepel, Hal E.
7330972a-c61c-4058-b52c-3669fadfcf70
Yager, Elowyn M.
dba31719-9c06-4cb8-823f-4e9e11c95237
Leyland, Julian
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Johnson, Joel P.L.
d929df25-d9ba-4053-b453-141b29f63728
Sear, David A.
ccd892ab-a93d-4073-a11c-b8bca42ecfd3
Ahmed, Sharif
ddc6bab1-9d76-4391-b7ea-ae68d6f3924d

Hodge, Rebecca A., Voepel, Hal E. and Yager, Elowyn M. , et al. (2024) Improving predictions of critical shear stress in gravel bed rivers: Identifying the onset of sediment transport and quantifying sediment structure. Earth Surface Processes and Landforms. (doi:10.1002/esp.5842).

Record type: Article

Abstract

Understanding when gravel moves in river beds is essential for a range of different applications but is still surprisingly hard to predict. Here we consider how our ability to predict critical shear stress (τc) is being improved by recent advances in two areas: (1) identifying the onset of bedload transport; and (2) quantifying grain-scale gravel bed structure. This paper addresses these areas through both an in-depth review and a comparison of new datasets of gravel structure collected using three different methods. We focus on advances in these two areas because of the need to understand how the conditions for sediment entrainment vary spatially and temporally, and because spatial and temporal changes in grain-scale structure are likely to be a major driver of changes in τc. We use data collected from a small gravel-bed stream using direct field-based measurements, terrestrial laser scanning (TLS) and computed tomography (CT) scanning, which is the first time that these methods have been directly compared. Using each method, we measure structure-relevant metrics including grain size distribution, grain protrusion and fine matrix content. We find that all three methods produce consistent measures of grain size, but that there is less agreement between measurements of grain protrusion and fine matrix content.

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Accepted/In Press date: 25 March 2024
Published date: 18 April 2024

Identifiers

Local EPrints ID: 489415
URI: http://eprints.soton.ac.uk/id/eprint/489415
ISSN: 0197-9337
PURE UUID: 0f96ea06-0b9d-44fe-95e4-2c160efb6b77
ORCID for Hal E. Voepel: ORCID iD orcid.org/0000-0001-7375-1460
ORCID for Julian Leyland: ORCID iD orcid.org/0000-0002-3419-9949
ORCID for David A. Sear: ORCID iD orcid.org/0000-0003-0191-6179

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Date deposited: 23 Apr 2024 17:53
Last modified: 24 Apr 2024 01:47

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Contributors

Author: Rebecca A. Hodge
Author: Hal E. Voepel ORCID iD
Author: Elowyn M. Yager
Author: Julian Leyland ORCID iD
Author: Joel P.L. Johnson
Author: David A. Sear ORCID iD
Author: Sharif Ahmed
Corporate Author: et al.

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