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Article: Physical complexity to model morphological changes at a natural channel bend

TitlePhysical complexity to model morphological changes at a natural channel bend
Authors
Keywordsdepth-integrated model
channel bend
sediment transport
secondary flow
Issue Date2016
Citation
Water Resources Research, 2016, v. 52, n. 8, p. 6348-6364 How to Cite?
Abstract© 2016. American Geophysical Union. All Rights Reserved. This study developed a two-dimensional (2-D) depth-averaged model for morphological changes at natural bends by including a secondary flow correction. The model was tested in two laboratory-scale events. A field study was further adopted to demonstrate the capability of the model in predicting bed deformation at natural bends. Further, a series of scenarios with different setups of sediment-related parameters were tested to explore the possibility of a 2-D model to simulate morphological changes at a natural bend, and to investigate how much physical complexity is needed for reliable modeling. The results suggest that a 2-D depth-averaged model can reconstruct the hydrodynamic and morphological features at a bend reasonably provided that the model addresses a secondary flow correction, and reasonably parameterize grain-sizes within a channel in a pragmatic way. The factors, such as sediment transport formula and roughness height, have relatively less significance on the bed change pattern at a bend. The study reveals that the secondary flow effect and grain-size parameterization should be given a first priority among other parameters when modeling bed deformation at a natural bend using a 2-D model.
Persistent Identifierhttp://hdl.handle.net/10722/264979
ISSN
2021 Impact Factor: 6.159
2020 SCImago Journal Rankings: 1.863
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGuan, M.-
dc.contributor.authorWright, N. G.-
dc.contributor.authorSleigh, P. A.-
dc.contributor.authorAhilan, S.-
dc.contributor.authorLamb, R.-
dc.date.accessioned2018-11-08T01:35:29Z-
dc.date.available2018-11-08T01:35:29Z-
dc.date.issued2016-
dc.identifier.citationWater Resources Research, 2016, v. 52, n. 8, p. 6348-6364-
dc.identifier.issn0043-1397-
dc.identifier.urihttp://hdl.handle.net/10722/264979-
dc.description.abstract© 2016. American Geophysical Union. All Rights Reserved. This study developed a two-dimensional (2-D) depth-averaged model for morphological changes at natural bends by including a secondary flow correction. The model was tested in two laboratory-scale events. A field study was further adopted to demonstrate the capability of the model in predicting bed deformation at natural bends. Further, a series of scenarios with different setups of sediment-related parameters were tested to explore the possibility of a 2-D model to simulate morphological changes at a natural bend, and to investigate how much physical complexity is needed for reliable modeling. The results suggest that a 2-D depth-averaged model can reconstruct the hydrodynamic and morphological features at a bend reasonably provided that the model addresses a secondary flow correction, and reasonably parameterize grain-sizes within a channel in a pragmatic way. The factors, such as sediment transport formula and roughness height, have relatively less significance on the bed change pattern at a bend. The study reveals that the secondary flow effect and grain-size parameterization should be given a first priority among other parameters when modeling bed deformation at a natural bend using a 2-D model.-
dc.languageeng-
dc.relation.ispartofWater Resources Research-
dc.subjectdepth-integrated model-
dc.subjectchannel bend-
dc.subjectsediment transport-
dc.subjectsecondary flow-
dc.titlePhysical complexity to model morphological changes at a natural channel bend-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/2015WR017917-
dc.identifier.scopuseid_2-s2.0-84982224483-
dc.identifier.volume52-
dc.identifier.issue8-
dc.identifier.spage6348-
dc.identifier.epage6364-
dc.identifier.eissn1944-7973-
dc.identifier.isiWOS:000383684400036-
dc.identifier.issnl0043-1397-

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