Comparing Field, Probabilistic, and 2D Numerical Approaches to Assess Gravel Mobility in a Gravel-Bed River

Sediment transport is a key process that affects the morphology and ecological habitat diversity of rivers. As part of a gravel augmentation program to mitigate sediment deficit below a dam, gravel mobility in the Ain River in Eastern France was investigated by tracking of a large amount (n = 1,063)...

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Detalles Bibliográficos
Autor: Arnaud, Fanny
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/88372
Acceso en línea:https://hdl.handle.net/20.500.14352/88372
Access Level:acceso abierto
Palabra clave:551.312.3
Geodinámica
2506.07 Geomorfología
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spelling Comparing Field, Probabilistic, and 2D Numerical Approaches to Assess Gravel Mobility in a Gravel-Bed RiverArnaud, Fanny551.312.3Geodinámica2506.07 GeomorfologíaSediment transport is a key process that affects the morphology and ecological habitat diversity of rivers. As part of a gravel augmentation program to mitigate sediment deficit below a dam, gravel mobility in the Ain River in Eastern France was investigated by tracking of a large amount (n = 1,063) of PIT-tagged gravels in the field, conducting a probabilistic approach based on published tracer studies, and performing two-dimensional (2D) numerical modeling of flow and bedload transport. This comparative study highlights the strengths, weaknesses, and complementary aspects of the three approaches to the understanding of river gravel mobility. Thanks to recent technological improvements, PIT-tagged gravels provide an increasingly reliable and accurate representation of bedload movement in the field, although it remains limited in spatio-temporal resolution. Based on an exponential distribution, the probabilistic approach correctly reproduces the average trend in travel distances by the different classes of particles over hydrological periods, including one or several significant floods. Furthermore, the 2D numerical modeling accounts for the variability of local hydrodynamic conditions and can simulate realistic displacement distributions for the different classes of particles with high spatio-temporal resolution. Numerical modeling is a very encouraging approach, which makes our study original because it is the first time that the estimation of mean travel distances, the application of an exponential distribution, and the comparison with a hydrodynamic model are combined. A more effective modeling strategy involves incorporating a probabilistic transport model in the 2D numerical model to reproduce the observed scatter of the individual particle trajectories.WileyUniversidad Complutense de Madrid20232023-01-0120232023-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/88372reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/883722026-06-02T12:44:21Z
dc.title.none.fl_str_mv Comparing Field, Probabilistic, and 2D Numerical Approaches to Assess Gravel Mobility in a Gravel-Bed River
title Comparing Field, Probabilistic, and 2D Numerical Approaches to Assess Gravel Mobility in a Gravel-Bed River
spellingShingle Comparing Field, Probabilistic, and 2D Numerical Approaches to Assess Gravel Mobility in a Gravel-Bed River
Arnaud, Fanny
551.312.3
Geodinámica
2506.07 Geomorfología
title_short Comparing Field, Probabilistic, and 2D Numerical Approaches to Assess Gravel Mobility in a Gravel-Bed River
title_full Comparing Field, Probabilistic, and 2D Numerical Approaches to Assess Gravel Mobility in a Gravel-Bed River
title_fullStr Comparing Field, Probabilistic, and 2D Numerical Approaches to Assess Gravel Mobility in a Gravel-Bed River
title_full_unstemmed Comparing Field, Probabilistic, and 2D Numerical Approaches to Assess Gravel Mobility in a Gravel-Bed River
title_sort Comparing Field, Probabilistic, and 2D Numerical Approaches to Assess Gravel Mobility in a Gravel-Bed River
dc.creator.none.fl_str_mv Arnaud, Fanny
author Arnaud, Fanny
author_facet Arnaud, Fanny
author_role author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 551.312.3
Geodinámica
2506.07 Geomorfología
topic 551.312.3
Geodinámica
2506.07 Geomorfología
description Sediment transport is a key process that affects the morphology and ecological habitat diversity of rivers. As part of a gravel augmentation program to mitigate sediment deficit below a dam, gravel mobility in the Ain River in Eastern France was investigated by tracking of a large amount (n = 1,063) of PIT-tagged gravels in the field, conducting a probabilistic approach based on published tracer studies, and performing two-dimensional (2D) numerical modeling of flow and bedload transport. This comparative study highlights the strengths, weaknesses, and complementary aspects of the three approaches to the understanding of river gravel mobility. Thanks to recent technological improvements, PIT-tagged gravels provide an increasingly reliable and accurate representation of bedload movement in the field, although it remains limited in spatio-temporal resolution. Based on an exponential distribution, the probabilistic approach correctly reproduces the average trend in travel distances by the different classes of particles over hydrological periods, including one or several significant floods. Furthermore, the 2D numerical modeling accounts for the variability of local hydrodynamic conditions and can simulate realistic displacement distributions for the different classes of particles with high spatio-temporal resolution. Numerical modeling is a very encouraging approach, which makes our study original because it is the first time that the estimation of mean travel distances, the application of an exponential distribution, and the comparison with a hydrodynamic model are combined. A more effective modeling strategy involves incorporating a probabilistic transport model in the 2D numerical model to reproduce the observed scatter of the individual particle trajectories.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01
2023
2023-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/88372
url https://hdl.handle.net/20.500.14352/88372
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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