Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large rivers

Autores
Sandbach, Steven D.; Lane, Stuart N.; Hardy, Richard J.; Amsler, Mario Luis; Ashworth, Philip J.; Best, James L.; Nicholas, Andrew P.; Orfeo, Oscar; Parsons, Daniel R.; Reesink, Arjan; Szupiany, Ricardo Nicolas
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Recent technological advances in remote sensing have enabled investigation of the morphodynamics and hydrodynamics of large rivers. However, measuring topography and flow in these very large rivers is time consuming and thus often constrains the spatial resolution and reach-length scales that can be monitored. Similar constraints exist for computational fluid dynamics (CFD) studies of large rivers, requiring maximization of mesh- or grid-cell dimensions and implying a reduction in the representation of bedform-roughness elements that are of the order of a model grid cell or less, even if they are represented in available topographic data. These "subgrid" elements must be parameterized, and this paper applies and considers the impact of roughness-length treatments that include the effect of bed roughness due to "unmeasured" topography. CFD predictions were found to be sensitive to the roughness-length specification. Model optimization was based on acoustic Doppler current profiler measurements and estimates of the water surface slope for a variety of roughness lengths. This proved difficult as the metrics used to assess optimal model performance diverged due to the effects of large bedforms that are not well parameterized in roughness-length treatments. However, the general spatial flow patterns are effectively predicted by the model. Changes in roughness length were shown to have a major impact upon flow routing at the channel scale. The results also indicate an absence of secondary flow circulation cells in the reached studied, and suggest simpler two-dimensional models may have great utility in the investigation of flow within large rivers
Fil: Sandbach, Steven D.. Durham University - Department Of Geography; Reino Unido
Fil: Lane, Stuart N.. Universite´ de Lausanne, Lausanne, Switzerland; Suiza
Fil: Hardy, Richard J.. Durham University - Department Of Geography; Reino Unido
Fil: Amsler, Mario Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto Nacional de Limnología. Universidad Nacional del Litoral. Instituto Nacional de Limnología; Argentina
Fil: Ashworth, Philip J.. University Of Brighton - School Of The Envirom And Tech; Reino Unido
Fil: Best, James L.. University Of Illinois - Dept. Of Geology And Geography; Estados Unidos
Fil: Nicholas, Andrew P.. University Of Exeter - Department Of Geography; Argentina
Fil: Orfeo, Oscar. Centro de Ecología Aplicada, Conicet; Argentina
Fil: Parsons, Daniel R.. University Of Hull, Hull, Uk; Argentina
Fil: Reesink, Arjan. University Of Brighton - School Of The Envirom And Tech; Argentina
Fil: Szupiany, Ricardo Nicolas. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Departamento de Hidráulica; Argentina
Materia
LARGE RIVERS
CFD
ROUGHNESS PARAMETERIZATION
SECONDARY FLOW
ENERGY LOSS
BED RESISTANCE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/71991

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network_name_str CONICET Digital (CONICET)
spelling Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large riversSandbach, Steven D.Lane, Stuart N.Hardy, Richard J.Amsler, Mario LuisAshworth, Philip J.Best, James L.Nicholas, Andrew P.Orfeo, OscarParsons, Daniel R.Reesink, ArjanSzupiany, Ricardo NicolasLARGE RIVERSCFDROUGHNESS PARAMETERIZATIONSECONDARY FLOWENERGY LOSSBED RESISTANCEhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Recent technological advances in remote sensing have enabled investigation of the morphodynamics and hydrodynamics of large rivers. However, measuring topography and flow in these very large rivers is time consuming and thus often constrains the spatial resolution and reach-length scales that can be monitored. Similar constraints exist for computational fluid dynamics (CFD) studies of large rivers, requiring maximization of mesh- or grid-cell dimensions and implying a reduction in the representation of bedform-roughness elements that are of the order of a model grid cell or less, even if they are represented in available topographic data. These "subgrid" elements must be parameterized, and this paper applies and considers the impact of roughness-length treatments that include the effect of bed roughness due to "unmeasured" topography. CFD predictions were found to be sensitive to the roughness-length specification. Model optimization was based on acoustic Doppler current profiler measurements and estimates of the water surface slope for a variety of roughness lengths. This proved difficult as the metrics used to assess optimal model performance diverged due to the effects of large bedforms that are not well parameterized in roughness-length treatments. However, the general spatial flow patterns are effectively predicted by the model. Changes in roughness length were shown to have a major impact upon flow routing at the channel scale. The results also indicate an absence of secondary flow circulation cells in the reached studied, and suggest simpler two-dimensional models may have great utility in the investigation of flow within large riversFil: Sandbach, Steven D.. Durham University - Department Of Geography; Reino UnidoFil: Lane, Stuart N.. Universite´ de Lausanne, Lausanne, Switzerland; SuizaFil: Hardy, Richard J.. Durham University - Department Of Geography; Reino UnidoFil: Amsler, Mario Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto Nacional de Limnología. Universidad Nacional del Litoral. Instituto Nacional de Limnología; ArgentinaFil: Ashworth, Philip J.. University Of Brighton - School Of The Envirom And Tech; Reino UnidoFil: Best, James L.. University Of Illinois - Dept. Of Geology And Geography; Estados UnidosFil: Nicholas, Andrew P.. University Of Exeter - Department Of Geography; ArgentinaFil: Orfeo, Oscar. Centro de Ecología Aplicada, Conicet; ArgentinaFil: Parsons, Daniel R.. University Of Hull, Hull, Uk; ArgentinaFil: Reesink, Arjan. University Of Brighton - School Of The Envirom And Tech; ArgentinaFil: Szupiany, Ricardo Nicolas. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Departamento de Hidráulica; ArgentinaAmerican Geophysical Union2012-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/71991Sandbach, Steven D.; Lane, Stuart N.; Hardy, Richard J.; Amsler, Mario Luis; Ashworth, Philip J.; et al.; Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large rivers; American Geophysical Union; Water Resources Research; 48; 12; 12-2012; 1-210043-1397CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1029/2011WR011284info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:45:06Zoai:ri.conicet.gov.ar:11336/71991instacron: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:34982025-09-29 09:45:06.664CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large rivers
title Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large rivers
spellingShingle Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large rivers
Sandbach, Steven D.
LARGE RIVERS
CFD
ROUGHNESS PARAMETERIZATION
SECONDARY FLOW
ENERGY LOSS
BED RESISTANCE
title_short Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large rivers
title_full Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large rivers
title_fullStr Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large rivers
title_full_unstemmed Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large rivers
title_sort Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large rivers
dc.creator.none.fl_str_mv Sandbach, Steven D.
Lane, Stuart N.
Hardy, Richard J.
Amsler, Mario Luis
Ashworth, Philip J.
Best, James L.
Nicholas, Andrew P.
Orfeo, Oscar
Parsons, Daniel R.
Reesink, Arjan
Szupiany, Ricardo Nicolas
author Sandbach, Steven D.
author_facet Sandbach, Steven D.
Lane, Stuart N.
Hardy, Richard J.
Amsler, Mario Luis
Ashworth, Philip J.
Best, James L.
Nicholas, Andrew P.
Orfeo, Oscar
Parsons, Daniel R.
Reesink, Arjan
Szupiany, Ricardo Nicolas
author_role author
author2 Lane, Stuart N.
Hardy, Richard J.
Amsler, Mario Luis
Ashworth, Philip J.
Best, James L.
Nicholas, Andrew P.
Orfeo, Oscar
Parsons, Daniel R.
Reesink, Arjan
Szupiany, Ricardo Nicolas
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv LARGE RIVERS
CFD
ROUGHNESS PARAMETERIZATION
SECONDARY FLOW
ENERGY LOSS
BED RESISTANCE
topic LARGE RIVERS
CFD
ROUGHNESS PARAMETERIZATION
SECONDARY FLOW
ENERGY LOSS
BED RESISTANCE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Recent technological advances in remote sensing have enabled investigation of the morphodynamics and hydrodynamics of large rivers. However, measuring topography and flow in these very large rivers is time consuming and thus often constrains the spatial resolution and reach-length scales that can be monitored. Similar constraints exist for computational fluid dynamics (CFD) studies of large rivers, requiring maximization of mesh- or grid-cell dimensions and implying a reduction in the representation of bedform-roughness elements that are of the order of a model grid cell or less, even if they are represented in available topographic data. These "subgrid" elements must be parameterized, and this paper applies and considers the impact of roughness-length treatments that include the effect of bed roughness due to "unmeasured" topography. CFD predictions were found to be sensitive to the roughness-length specification. Model optimization was based on acoustic Doppler current profiler measurements and estimates of the water surface slope for a variety of roughness lengths. This proved difficult as the metrics used to assess optimal model performance diverged due to the effects of large bedforms that are not well parameterized in roughness-length treatments. However, the general spatial flow patterns are effectively predicted by the model. Changes in roughness length were shown to have a major impact upon flow routing at the channel scale. The results also indicate an absence of secondary flow circulation cells in the reached studied, and suggest simpler two-dimensional models may have great utility in the investigation of flow within large rivers
Fil: Sandbach, Steven D.. Durham University - Department Of Geography; Reino Unido
Fil: Lane, Stuart N.. Universite´ de Lausanne, Lausanne, Switzerland; Suiza
Fil: Hardy, Richard J.. Durham University - Department Of Geography; Reino Unido
Fil: Amsler, Mario Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto Nacional de Limnología. Universidad Nacional del Litoral. Instituto Nacional de Limnología; Argentina
Fil: Ashworth, Philip J.. University Of Brighton - School Of The Envirom And Tech; Reino Unido
Fil: Best, James L.. University Of Illinois - Dept. Of Geology And Geography; Estados Unidos
Fil: Nicholas, Andrew P.. University Of Exeter - Department Of Geography; Argentina
Fil: Orfeo, Oscar. Centro de Ecología Aplicada, Conicet; Argentina
Fil: Parsons, Daniel R.. University Of Hull, Hull, Uk; Argentina
Fil: Reesink, Arjan. University Of Brighton - School Of The Envirom And Tech; Argentina
Fil: Szupiany, Ricardo Nicolas. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Departamento de Hidráulica; Argentina
description Recent technological advances in remote sensing have enabled investigation of the morphodynamics and hydrodynamics of large rivers. However, measuring topography and flow in these very large rivers is time consuming and thus often constrains the spatial resolution and reach-length scales that can be monitored. Similar constraints exist for computational fluid dynamics (CFD) studies of large rivers, requiring maximization of mesh- or grid-cell dimensions and implying a reduction in the representation of bedform-roughness elements that are of the order of a model grid cell or less, even if they are represented in available topographic data. These "subgrid" elements must be parameterized, and this paper applies and considers the impact of roughness-length treatments that include the effect of bed roughness due to "unmeasured" topography. CFD predictions were found to be sensitive to the roughness-length specification. Model optimization was based on acoustic Doppler current profiler measurements and estimates of the water surface slope for a variety of roughness lengths. This proved difficult as the metrics used to assess optimal model performance diverged due to the effects of large bedforms that are not well parameterized in roughness-length treatments. However, the general spatial flow patterns are effectively predicted by the model. Changes in roughness length were shown to have a major impact upon flow routing at the channel scale. The results also indicate an absence of secondary flow circulation cells in the reached studied, and suggest simpler two-dimensional models may have great utility in the investigation of flow within large rivers
publishDate 2012
dc.date.none.fl_str_mv 2012-12
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/11336/71991
Sandbach, Steven D.; Lane, Stuart N.; Hardy, Richard J.; Amsler, Mario Luis; Ashworth, Philip J.; et al.; Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large rivers; American Geophysical Union; Water Resources Research; 48; 12; 12-2012; 1-21
0043-1397
CONICET Digital
CONICET
url http://hdl.handle.net/11336/71991
identifier_str_mv Sandbach, Steven D.; Lane, Stuart N.; Hardy, Richard J.; Amsler, Mario Luis; Ashworth, Philip J.; et al.; Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large rivers; American Geophysical Union; Water Resources Research; 48; 12; 12-2012; 1-21
0043-1397
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1029/2011WR011284
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Geophysical Union
publisher.none.fl_str_mv American Geophysical Union
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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