Effects of vegetation on flow and sediment transport: comparative analyses and validation of predicting models
Abstract
The presence of vegetation modifies flow and sediment transport in alluvial channels and hence the morphological evolution of river systems. Plants increase the local roughness, modify flow patterns and provide additional drag, decreasing the bed‐shear stress and enhancing local sediment deposition. For this, it is important to take into account the presence of vegetation in morphodynamic modelling. Models describing the effects of vegetation on water flow and sediment transport already exist, but comparative analyses and validations on extensive datasets are still lacking. In order to provide practical information for modelling purposes, we analysed the performance of a large number of models on flow resistance, vegetation drag, vertical velocity profiles and bed‐shear stresses in vegetated channels. Their assessments and applicability ranges are derived by comparing their predictions with measured values from a large dataset for different types of submerged and emergent vegetation gathered from the literature. The work includes assessing the performance of the sediment transport capacity formulae of Engelund and Hansen and van Rijn in the case of vegetated beds, as well as the value of the drag coefficient to be used for different types of vegetation and hydraulic conditions. The results provide a unique comparative overview of existing models for the assessment of the effects of vegetation on morphodynamics, highlighting their performances and applicability ranges. Copyright © 2014 John Wiley & Sons, Ltd.
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The conveyance-ecology trade-off in vegetated channels is a well-established challenge in river engineering.
“The conveyance-ecology trade-off in vegetated channels is a well-established challenge in river engineering 5,6 .”
From AI-driven digital twinning quantifies the trade-off between flood conveyance and riparian stability under climate extremes (2026) · cites this paper as [6]
Cites
Beschta, R. L., & Ripple, W. J. (2006) · Earth Surface Processes and Landforms · doi:10.1002/esp.1362 · Cited by 86 · cited 1× · see citing works
“…(Gran and Paola, 2001; Tal and Paola, 2007, 2010; Braudrick et al., 2009), numerical modelling (Murray and Paola, 2003; Camporeale and Ridolfi, 2006; Perucca et al., 2007; Perona et al., 2009; Crosato and Samir Saleh, 2011) and real rivers (Ward et al., 2000; Beschta and Ripple, 2006; Hooke, 2007).”
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Shin, J. H., Go, S. H., & Park, J. H. (2026) · Scientific Reports · doi:10.1038/s41598-026-63704-8
- Authors
- Vargas‐Luna, A., Crosato, A., & Uijttewaal, W. S. J.
- Affiliations
- Delft University of Technology (NL)
- IHE Delft Institute for Water Education (NL)
- Corresponding author
- Vargas‐Luna, Andrés
- Venue
- Earth Surface Processes and Landforms
- Publisher
- Wiley
- Published
- 2014-09-22
- Volume
- 40
- Issue
- 2
- Pages
- 157-176
- ISSN
- 0197-9337 (ISSN-L)
- 1096-9837
- OpenAlex
- W1586129452
- Cited by
- 240
- References
- 1
- Citations by year
- 2026: 19 · 2025: 27 · 2024: 27 · 2023: 18 · 2022: 27 · 2021: 23 · 2020: 21 · 2019: 24 · 2018: 24 · 2017: 13 · 2016: 12 · 2015: 5
- FWCI
- 7.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Earth Surface Processes and Landforms (publishedVersion)
- Funders
- Colciencias (Colombian Institute for the Development of Science and Technology) (Generaci�n del bicentenario)
- Pontificia Universidad Javeriana
- Topics
- Physical Sciences › Environmental Science › Ecology › Hydrology and Sediment Transport Processes
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil erosion and sediment transport
- Physical Sciences › Engineering › Mechanical Engineering › Tree Root and Stability Studies
- Keywords
- vegetation effects on flow, sediment transport, alluvial channels, flow resistance, vegetation drag, bed shear stress, vertical velocity profiles, submerged macrophytes, emergent vegetation, Van Rijn formula, sediment transport capacity, drag coefficient, morphodynamic modeling, model validation
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