Scaling up bedload monitoring: a passive acoustic approach for large river systems

Autores
Le Guern, Jules; Jugé, Philippe; Latosinski, Francisco Guillermo; Andréault, Alex; Wintenberger, Coraline; Rodrigues, Stephane
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Quantifying bedload transport at the catchment scale of large rivers remains a critical challenge in river management and sediment budget assessment. Traditional direct sampling methods are logistically demanding and provide limited spatial-temporal coverage. This study demonstrates that passive acoustic monitoring using hydrophones can reliably quantify bedload fluxes across entire river catchments. Applied to the Loire River system (France), passive acoustic measurements were conducted at seven stations from 2018 to 2025, establishing bedload rating curves for discharge conditions ranging from low flow to two-year return floods. Monte Carlo sensitivity analysis demonstrates that stratified sampling with as few as four measurements across the dischargerange produces reliable rating curves (<20 % error relative to reference curves with 32 points). Independent cross-validation using 16 semi-empirical transport formulas and long-term morphological change analysis (1995–2020) shows order-of-magnitude agreement in flux estimates and spatial coherence in erosion-deposition patterns. Results reveal strong spatial variability (5000 to 455,000 tons/year) reflecting tributary contributions and anthropogenic pressures. The approach provides a practical pathway for establishing sustained bedload monitoring networks, addressing critical data gaps in sediment flux quantification for river management and morphodynamic prediction.
Fil: Le Guern, Jules. Universite de Tours; Francia
Fil: Jugé, Philippe. Universite de Tours; Francia
Fil: Latosinski, Francisco Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina
Fil: Andréault, Alex. Universite de Tours; Francia
Fil: Wintenberger, Coraline. Unité Risques Hydrauliques et Surveillance des Ouvrages et des Milieux; Francia
Fil: Rodrigues, Stephane. Universite de Tours; Francia
Materia
BEDLOAD MONITORING
PASSIVE ACOUSTICS
MORPHODYNAMICS
CATCHMENT MANAGEMENT
DISCHARGE TIME SERIES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/284029
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Scaling up bedload monitoring: a passive acoustic approach for large river systemsLe Guern, JulesJugé, PhilippeLatosinski, Francisco GuillermoAndréault, AlexWintenberger, CoralineRodrigues, StephaneBEDLOAD MONITORINGPASSIVE ACOUSTICSMORPHODYNAMICSCATCHMENT MANAGEMENTDISCHARGE TIME SERIEShttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Quantifying bedload transport at the catchment scale of large rivers remains a critical challenge in river management and sediment budget assessment. Traditional direct sampling methods are logistically demanding and provide limited spatial-temporal coverage. This study demonstrates that passive acoustic monitoring using hydrophones can reliably quantify bedload fluxes across entire river catchments. Applied to the Loire River system (France), passive acoustic measurements were conducted at seven stations from 2018 to 2025, establishing bedload rating curves for discharge conditions ranging from low flow to two-year return floods. Monte Carlo sensitivity analysis demonstrates that stratified sampling with as few as four measurements across the dischargerange produces reliable rating curves (<20 % error relative to reference curves with 32 points). Independent cross-validation using 16 semi-empirical transport formulas and long-term morphological change analysis (1995–2020) shows order-of-magnitude agreement in flux estimates and spatial coherence in erosion-deposition patterns. Results reveal strong spatial variability (5000 to 455,000 tons/year) reflecting tributary contributions and anthropogenic pressures. The approach provides a practical pathway for establishing sustained bedload monitoring networks, addressing critical data gaps in sediment flux quantification for river management and morphodynamic prediction.Fil: Le Guern, Jules. Universite de Tours; FranciaFil: Jugé, Philippe. Universite de Tours; FranciaFil: Latosinski, Francisco Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; ArgentinaFil: Andréault, Alex. Universite de Tours; FranciaFil: Wintenberger, Coraline. Unité Risques Hydrauliques et Surveillance des Ouvrages et des Milieux; FranciaFil: Rodrigues, Stephane. Universite de Tours; FranciaElsevier Science2025-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/284029Le Guern, Jules; Jugé, Philippe; Latosinski, Francisco Guillermo; Andréault, Alex; Wintenberger, Coraline; et al.; Scaling up bedload monitoring: a passive acoustic approach for large river systems; Elsevier Science; Science of the Total Environment; 1013; 12-2025; 1-130048-9697CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0048969725029729info:eu-repo/semantics/altIdentifier/doi/10.1016/j.scitotenv.2025.181330info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:31:16Zoai:ri.conicet.gov.ar:11336/284029instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-08-25 14:31:16.989CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Scaling up bedload monitoring: a passive acoustic approach for large river systems
title Scaling up bedload monitoring: a passive acoustic approach for large river systems
spellingShingle Scaling up bedload monitoring: a passive acoustic approach for large river systems
Le Guern, Jules
BEDLOAD MONITORING
PASSIVE ACOUSTICS
MORPHODYNAMICS
CATCHMENT MANAGEMENT
DISCHARGE TIME SERIES
title_short Scaling up bedload monitoring: a passive acoustic approach for large river systems
title_full Scaling up bedload monitoring: a passive acoustic approach for large river systems
title_fullStr Scaling up bedload monitoring: a passive acoustic approach for large river systems
title_full_unstemmed Scaling up bedload monitoring: a passive acoustic approach for large river systems
title_sort Scaling up bedload monitoring: a passive acoustic approach for large river systems
dc.creator.none.fl_str_mv Le Guern, Jules
Jugé, Philippe
Latosinski, Francisco Guillermo
Andréault, Alex
Wintenberger, Coraline
Rodrigues, Stephane
author Le Guern, Jules
author_facet Le Guern, Jules
Jugé, Philippe
Latosinski, Francisco Guillermo
Andréault, Alex
Wintenberger, Coraline
Rodrigues, Stephane
author_role author
author2 Jugé, Philippe
Latosinski, Francisco Guillermo
Andréault, Alex
Wintenberger, Coraline
Rodrigues, Stephane
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv BEDLOAD MONITORING
PASSIVE ACOUSTICS
MORPHODYNAMICS
CATCHMENT MANAGEMENT
DISCHARGE TIME SERIES
topic BEDLOAD MONITORING
PASSIVE ACOUSTICS
MORPHODYNAMICS
CATCHMENT MANAGEMENT
DISCHARGE TIME SERIES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Quantifying bedload transport at the catchment scale of large rivers remains a critical challenge in river management and sediment budget assessment. Traditional direct sampling methods are logistically demanding and provide limited spatial-temporal coverage. This study demonstrates that passive acoustic monitoring using hydrophones can reliably quantify bedload fluxes across entire river catchments. Applied to the Loire River system (France), passive acoustic measurements were conducted at seven stations from 2018 to 2025, establishing bedload rating curves for discharge conditions ranging from low flow to two-year return floods. Monte Carlo sensitivity analysis demonstrates that stratified sampling with as few as four measurements across the dischargerange produces reliable rating curves (<20 % error relative to reference curves with 32 points). Independent cross-validation using 16 semi-empirical transport formulas and long-term morphological change analysis (1995–2020) shows order-of-magnitude agreement in flux estimates and spatial coherence in erosion-deposition patterns. Results reveal strong spatial variability (5000 to 455,000 tons/year) reflecting tributary contributions and anthropogenic pressures. The approach provides a practical pathway for establishing sustained bedload monitoring networks, addressing critical data gaps in sediment flux quantification for river management and morphodynamic prediction.
Fil: Le Guern, Jules. Universite de Tours; Francia
Fil: Jugé, Philippe. Universite de Tours; Francia
Fil: Latosinski, Francisco Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina
Fil: Andréault, Alex. Universite de Tours; Francia
Fil: Wintenberger, Coraline. Unité Risques Hydrauliques et Surveillance des Ouvrages et des Milieux; Francia
Fil: Rodrigues, Stephane. Universite de Tours; Francia
description Quantifying bedload transport at the catchment scale of large rivers remains a critical challenge in river management and sediment budget assessment. Traditional direct sampling methods are logistically demanding and provide limited spatial-temporal coverage. This study demonstrates that passive acoustic monitoring using hydrophones can reliably quantify bedload fluxes across entire river catchments. Applied to the Loire River system (France), passive acoustic measurements were conducted at seven stations from 2018 to 2025, establishing bedload rating curves for discharge conditions ranging from low flow to two-year return floods. Monte Carlo sensitivity analysis demonstrates that stratified sampling with as few as four measurements across the dischargerange produces reliable rating curves (<20 % error relative to reference curves with 32 points). Independent cross-validation using 16 semi-empirical transport formulas and long-term morphological change analysis (1995–2020) shows order-of-magnitude agreement in flux estimates and spatial coherence in erosion-deposition patterns. Results reveal strong spatial variability (5000 to 455,000 tons/year) reflecting tributary contributions and anthropogenic pressures. The approach provides a practical pathway for establishing sustained bedload monitoring networks, addressing critical data gaps in sediment flux quantification for river management and morphodynamic prediction.
publishDate 2025
dc.date.none.fl_str_mv 2025-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/284029
Le Guern, Jules; Jugé, Philippe; Latosinski, Francisco Guillermo; Andréault, Alex; Wintenberger, Coraline; et al.; Scaling up bedload monitoring: a passive acoustic approach for large river systems; Elsevier Science; Science of the Total Environment; 1013; 12-2025; 1-13
0048-9697
CONICET Digital
CONICET
url http://hdl.handle.net/11336/284029
identifier_str_mv Le Guern, Jules; Jugé, Philippe; Latosinski, Francisco Guillermo; Andréault, Alex; Wintenberger, Coraline; et al.; Scaling up bedload monitoring: a passive acoustic approach for large river systems; Elsevier Science; Science of the Total Environment; 1013; 12-2025; 1-13
0048-9697
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0048969725029729
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.scitotenv.2025.181330
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.364332

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