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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/71991
Ver los metadatos del registro completo
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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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score |
13.070432 |