The University of Southampton
University of Southampton Institutional Repository

Channel topography and grain-scale sediment structure, measured in flume experiments

Channel topography and grain-scale sediment structure, measured in flume experiments
Channel topography and grain-scale sediment structure, measured in flume experiments
Terrestrial laser scanner (TLS) and CT scan data collected during flume experiments on a gravel bed. TLS data show the bed surface topography before and after waterworking of the bed. CT scan data show the 3D structure of sections of the river bed after waterworking. Some CT data has been processed to segment the images into the individual gravel grains, and for some of these data a database of grain properties is also available.,The flume was filled with gravel, and wire baskets were buried in it. The bed was scanned using TLS. Flow was run through the flume to waterwork the gravel, and then the flume was drained. The bed was rescanned using TLS. Then the baskets were extracted, and CT scanned. 15 experimental runs were completed, with increasing amounts of sand and clay added to the flume throughout the experiment. CT data were processed to remove any scan artefacts, and to segment the gravel grains from the surrounding matrix and other materials. These segmented scans were then analysed to measure grain properties.
Natural Environment Research Council
Hodge, R.A.
ddf9b107-90cf-4991-9d8f-2a4be7923d26
Voepel, H.E.
7330972a-c61c-4058-b52c-3669fadfcf70
Leyland, J.
6b1bb9b9-f3d5-4f40-8dd3-232139510e15
Sear, D.A.
ccd892ab-a93d-4073-a11c-b8bca42ecfd3
Ahmed, Sharif
37570e92-ba6b-4e03-9144-c70fa7722c51
Hodge, R.A.
ddf9b107-90cf-4991-9d8f-2a4be7923d26
Voepel, H.E.
7330972a-c61c-4058-b52c-3669fadfcf70
Leyland, J.
6b1bb9b9-f3d5-4f40-8dd3-232139510e15
Sear, D.A.
ccd892ab-a93d-4073-a11c-b8bca42ecfd3
Ahmed, Sharif
37570e92-ba6b-4e03-9144-c70fa7722c51

(2022) Channel topography and grain-scale sediment structure, measured in flume experiments. Natural Environment Research Council doi:10.5285/6749d033-cdf4-479b-ba85-015c3dbb476a [Dataset]

Record type: Dataset

Abstract

Terrestrial laser scanner (TLS) and CT scan data collected during flume experiments on a gravel bed. TLS data show the bed surface topography before and after waterworking of the bed. CT scan data show the 3D structure of sections of the river bed after waterworking. Some CT data has been processed to segment the images into the individual gravel grains, and for some of these data a database of grain properties is also available.,The flume was filled with gravel, and wire baskets were buried in it. The bed was scanned using TLS. Flow was run through the flume to waterwork the gravel, and then the flume was drained. The bed was rescanned using TLS. Then the baskets were extracted, and CT scanned. 15 experimental runs were completed, with increasing amounts of sand and clay added to the flume throughout the experiment. CT data were processed to remove any scan artefacts, and to segment the gravel grains from the surrounding matrix and other materials. These segmented scans were then analysed to measure grain properties.

This record has no associated files available for download.

More information

Published date: 2022

Identifiers

Local EPrints ID: 476562
URI: http://eprints.soton.ac.uk/id/eprint/476562
PURE UUID: 99f96716-4e67-4c56-81de-87b0a5bb0fdb
ORCID for H.E. Voepel: ORCID iD orcid.org/0000-0001-7375-1460
ORCID for J. Leyland: ORCID iD orcid.org/0000-0002-3419-9949
ORCID for D.A. Sear: ORCID iD orcid.org/0000-0003-0191-6179
ORCID for Sharif Ahmed: ORCID iD orcid.org/0000-0002-3290-3592

Catalogue record

Date deposited: 05 May 2023 20:29
Last modified: 06 May 2023 01:50

Export record

Altmetrics

Contributors

Contributor: R.A. Hodge
Contributor: H.E. Voepel ORCID iD
Contributor: J. Leyland ORCID iD
Contributor: D.A. Sear ORCID iD
Contributor: Sharif Ahmed ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×