Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896877438> ?p ?o ?g. }
- W2896877438 endingPage "9206" @default.
- W2896877438 startingPage "9187" @default.
- W2896877438 abstract "Abstract Shear stresses on vegetated beds play an important role in driving a wide range of processes at the sediment‐water interface, including sediment transport. Existing methods for the estimation of bed shear stress are not applicable to vegetated beds due to the significant alteration of the near‐bed velocity profile and turbulence intensities by the vegetation. In addition, bed shear stress distributions are highly spatially variable in the presence of vegetation. In this study, computational fluid dynamics simulations were used to investigate the spatial variability of bed shear stresses in the presence of emergent vegetation (modeled as arrays of circular cylinders) and the variation of bed stress with characteristics of both the bulk flow and the array. A recently proposed model that assumes a linear variation of stress in the viscous layer immediately above the bed is shown to be a reliable tool for estimating the spatially averaged bed shear stress over a wide range of flow conditions and vegetation densities. However, application of this model is found to be restrictive due to the lack of a reliable predictive tool for the thickness of the viscous layer. Based on a balance between turbulent kinetic energy production in the vegetation stem wakes and the viscous dissipation of turbulent kinetic energy at the bed, an enhanced formulation is proposed to predict the thickness of the viscous layer, which significantly improves the accuracy of model predictions. This improved model enhances the predictive capability for important benthic processes (such as sediment transport) in vegetated aquatic systems." @default.
- W2896877438 created "2018-10-26" @default.
- W2896877438 creator A5013802572 @default.
- W2896877438 creator A5035143242 @default.
- W2896877438 creator A5038882588 @default.
- W2896877438 date "2018-11-01" @default.
- W2896877438 modified "2023-10-14" @default.
- W2896877438 title "Predicting Bed Shear Stresses in Vegetated Channels" @default.
- W2896877438 cites W1486574983 @default.
- W2896877438 cites W1595347312 @default.
- W2896877438 cites W1596521801 @default.
- W2896877438 cites W1850799894 @default.
- W2896877438 cites W1893680646 @default.
- W2896877438 cites W1948269166 @default.
- W2896877438 cites W1966236748 @default.
- W2896877438 cites W1971106592 @default.
- W2896877438 cites W1971931957 @default.
- W2896877438 cites W1979689592 @default.
- W2896877438 cites W1984426000 @default.
- W2896877438 cites W1985117521 @default.
- W2896877438 cites W1991834864 @default.
- W2896877438 cites W1996707344 @default.
- W2896877438 cites W2017519515 @default.
- W2896877438 cites W2024256927 @default.
- W2896877438 cites W2026857408 @default.
- W2896877438 cites W2038591650 @default.
- W2896877438 cites W2049181084 @default.
- W2896877438 cites W2054746790 @default.
- W2896877438 cites W2056250821 @default.
- W2896877438 cites W2058060040 @default.
- W2896877438 cites W2065349634 @default.
- W2896877438 cites W2067951124 @default.
- W2896877438 cites W2071701535 @default.
- W2896877438 cites W2078015760 @default.
- W2896877438 cites W2089715810 @default.
- W2896877438 cites W2091098010 @default.
- W2896877438 cites W2095873249 @default.
- W2896877438 cites W2111623844 @default.
- W2896877438 cites W2131308811 @default.
- W2896877438 cites W2138184362 @default.
- W2896877438 cites W2157539250 @default.
- W2896877438 cites W2158739039 @default.
- W2896877438 cites W2158818605 @default.
- W2896877438 cites W2170670377 @default.
- W2896877438 cites W2293773758 @default.
- W2896877438 cites W2491692017 @default.
- W2896877438 cites W2593480382 @default.
- W2896877438 cites W2604253504 @default.
- W2896877438 cites W26050582 @default.
- W2896877438 cites W2762616824 @default.
- W2896877438 cites W346979781 @default.
- W2896877438 cites W4235764071 @default.
- W2896877438 cites W570423074 @default.
- W2896877438 doi "https://doi.org/10.1029/2018wr022811" @default.
- W2896877438 hasPublicationYear "2018" @default.
- W2896877438 type Work @default.
- W2896877438 sameAs 2896877438 @default.
- W2896877438 citedByCount "26" @default.
- W2896877438 countsByYear W28968774382018 @default.
- W2896877438 countsByYear W28968774382019 @default.
- W2896877438 countsByYear W28968774382020 @default.
- W2896877438 countsByYear W28968774382021 @default.
- W2896877438 countsByYear W28968774382022 @default.
- W2896877438 countsByYear W28968774382023 @default.
- W2896877438 crossrefType "journal-article" @default.
- W2896877438 hasAuthorship W2896877438A5013802572 @default.
- W2896877438 hasAuthorship W2896877438A5035143242 @default.
- W2896877438 hasAuthorship W2896877438A5038882588 @default.
- W2896877438 hasBestOaLocation W28968774381 @default.
- W2896877438 hasConcept C111603439 @default.
- W2896877438 hasConcept C114793014 @default.
- W2896877438 hasConcept C121332964 @default.
- W2896877438 hasConcept C127313418 @default.
- W2896877438 hasConcept C135402231 @default.
- W2896877438 hasConcept C15476950 @default.
- W2896877438 hasConcept C159390177 @default.
- W2896877438 hasConcept C187320778 @default.
- W2896877438 hasConcept C196558001 @default.
- W2896877438 hasConcept C21141959 @default.
- W2896877438 hasConcept C2816523 @default.
- W2896877438 hasConcept C39432304 @default.
- W2896877438 hasConcept C57879066 @default.
- W2896877438 hasConcept C5900021 @default.
- W2896877438 hasConcept C65589250 @default.
- W2896877438 hasConcept C96035792 @default.
- W2896877438 hasConcept C97355855 @default.
- W2896877438 hasConceptScore W2896877438C111603439 @default.
- W2896877438 hasConceptScore W2896877438C114793014 @default.
- W2896877438 hasConceptScore W2896877438C121332964 @default.
- W2896877438 hasConceptScore W2896877438C127313418 @default.
- W2896877438 hasConceptScore W2896877438C135402231 @default.
- W2896877438 hasConceptScore W2896877438C15476950 @default.
- W2896877438 hasConceptScore W2896877438C159390177 @default.
- W2896877438 hasConceptScore W2896877438C187320778 @default.
- W2896877438 hasConceptScore W2896877438C196558001 @default.
- W2896877438 hasConceptScore W2896877438C21141959 @default.
- W2896877438 hasConceptScore W2896877438C2816523 @default.
- W2896877438 hasConceptScore W2896877438C39432304 @default.