Abstract

This paper reports a new experimental method applying medical X-ray computed tomography (CT) to estimate the bed load in sand transport. A set of current-generated sand ripple experiments were conducted in a small hydraulic flume inserted in the CT scanner. The methodology is based on the measurements of height, velocity, and density of bed forms to estimate bed load. A temporal series of bed topography is first extracted from the CT scan images. The velocity is estimated by tracking the displacement of bed forms from two successive bed topographies. The sand bed density (ρsb) is estimated from the CT scan measurements using a calibration technique. The method measuring ρsb to calculate bed load is validated comparing measurements made with sand traps. The advantages and limitations of the CT method applied to bed-load transport are discussed.

Practical Applications

Sediment transport is a fundamental physical process in Earth Sciences. It refers to the movement of sediment grains transported by water currents and deposited where or when water flow ends. This cycle seems at first inoffensive but could impact millions of human lives all around the world. River floods, sea-level rise, and storms are likely to modify the landscape of many populated areas located nearby in the next decades. A better understanding of sediment transport processes would greatly benefit our capacity to determine the impact of those extreme events on river and coastal morphology. To achieve this, physical models are used in laboratories to simulate sediment dynamics at a smaller scale. These results help researchers developing numerical models of sediment transport to better predict river dynamics as well as the movement of coastlines. This study is an insight on the application of new laboratory techniques using advanced three-dimensional imaging technique as an effort to contribute to our knowledge of sediment dynamics.

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Data Availability Statement

All data, models, or code generated or used during the study are available in a repository or online in accordance with funder data retention policies (Brunelle 2021).

Acknowledgments

This research was possible thanks to a CFI grant and a Research Chair in Coastal and fluvial engineering from the Ministère de la Sécurité publique et le Ministère des Transports of Québec Province, both awarded to Bernard Long. Corinne Brunelle also received support from Québec-Océan, a strategic cluster funded by FRQNT. This study was also partially supported by INRAE, as well as the Auvergne-Rhône-Alpes region through the CMIRA ExploraPro financial support (B. Camenen) and CMIRA Coopera financial support, and by a Canada Research Chair Tier1 in Environmental sedimentology awarded to PF. The authors would like to thank Pascal Bernatchez, Yves Secretan, Jan Franssen, and Bernard Long for fruitful discussions. The authors would also like to thank the two anonymous reviewers.

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 148Issue 12December 2022

History

Received: Dec 28, 2021
Accepted: Jul 19, 2022
Published online: Oct 6, 2022
Published in print: Dec 1, 2022
Discussion open until: Mar 6, 2023

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Physical Scientist, Ocean Science Branch, Fisheries and Oceans Canada, 2121 Transcanadienne, Dorval, QC, Canada H9P 1J3 (corresponding author). ORCID: https://orcid.org/0000-0002-9326-4712. Email: [email protected]
Pierre Francus [email protected]
Professor, Canada Research Chair in Environmental Sedimentology, Institut National de la Recherche Scientifique, Centre Eau Terre Environnement, 490 Couronne St., QC, Canada G1K 9A9. Email: [email protected]
Benoît Camenen [email protected]
Researcher, Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE), UR RiverLy, CS 20244, 5 Doua St., Villeurbanne 69625, France. Email: [email protected]
Carl L. Amos [email protected]
Emeritus Professor, National Oceanography Centre, Univ. of Southampton, Ocean and Earth Science, University Rd., Highfield, Southampton SO17 1BJ, UK. Email: [email protected]
Research Assistant, Multidisciplinary Laboratory for Non-Medical Use, Institut National de la Recherche Scientifique, Centre Eau Terre Environnement, 490 Couronne St., QC, Canada G1K 9A9. ORCID: https://orcid.org/0000-0002-2729-2715. Email: [email protected]
Research Engineer, Institut National de Recherche Pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), UR RiverLy, CS 20244, 5 Doua St., Villeurbanne 69625, France. ORCID: https://orcid.org/0000-0002-4444-6640. Email: [email protected]
Teaching and Research Fellow, National Oceanography Centre, Univ. of Southampton, Ocean and Earth Science, University Rd., Highfield, Southampton SO17 1BJ, UK. ORCID: https://orcid.org/0000-0002-5936-6037. Email: [email protected]
Louis-Frédéric Daigle [email protected]
Technical Assistant, Multidisciplinary Laboratory for Non-Medical Use, Institut National de la Recherche Scientifique, Centre Eau Terre, Environnement, 490 Couronne St., QC, Canada G1K 9A9. Email: [email protected]
Professor, Département de physique, de génie physique et d'optique, Faculté des sciences et de génie, Université Laval, 2325 Université St., QC, Canada G1V 0A6. ORCID: https://orcid.org/0000-0002-4163-7353. Email: [email protected]

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