2016
DOI: 10.1007/s10652-016-9482-z
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Does the canopy mixing layer model apply to highly flexible aquatic vegetation? Insights from numerical modelling

Abstract: Vegetation is a characteristic feature of shallow aquatic flows such as rivers, lakes and coastal waters. Flow through and above aquatic vegetation canopies is commonly described using a canopy mixing layer analogy which provides a canonical framework for assessing key hydraulic characteristics such as velocity profiles, large-scale coherent turbulent structures and mixing and transport processes for solutes and sediments. This theory is well developed for the case of semi-rigid terrestrial vegetation and has … Show more

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Cited by 28 publications
(32 citation statements)
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References 86 publications
(151 reference statements)
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“…Mathematical definition of vortices is challenging, leading to the development of a range of different algorithms for investigating the presence and nature of vortices in the flow. Applications within ecohydraulics have included a combination of Eulerian vortex detection methods such as the Q criterion (based on the magnitude of vorticity) and Lagrangian methods such as the Finite‐time Lyapunov exponent (FTLE) method which tracks individual fluid trajectories through time …”
Section: Turbulence Theory and Parametersmentioning
confidence: 99%
“…Mathematical definition of vortices is challenging, leading to the development of a range of different algorithms for investigating the presence and nature of vortices in the flow. Applications within ecohydraulics have included a combination of Eulerian vortex detection methods such as the Q criterion (based on the magnitude of vorticity) and Lagrangian methods such as the Finite‐time Lyapunov exponent (FTLE) method which tracks individual fluid trajectories through time …”
Section: Turbulence Theory and Parametersmentioning
confidence: 99%
“…Moreover, while some progress has also been made incorporating more complex parameters such as vegetation flexibility (Dijkstra and Uittenbogaard, 2010), these effects are not yet widely included in freely available or commercial models. Efforts by Boothroyd et al (2017) and Marjoribanks et al (2017) have successfully included flexibility effects to predict turbulence and mean velocities within and around patches of flexible vegetation, allowing identification of deposition and erosion zones. However, even if advances in computational resources allow for more accurate solutions, the scale separation still prohibits DNS at field scales.…”
Section: Parametrization For Numerical Modeling and The Development Omentioning
confidence: 99%
“…Wood in streams can be modelled using physics‐based, empirical or conceptual models. Physics‐based models attempt to incorporate all involved physical processes, aiming to resolve the detailed flow patterns (Baptist et al, ; Huthoff, Augustijn, & Hulscher, ; Marjoribanks, Hardy, Lane, & Parsons, ; Nepf & Vivoni, ; Verschoren et al, ). Therefore, these models require detailed input data for the wood elements, the stream geometry and the flow velocity, which are not always available at large spatial and temporal scales (Vargas‐Luna, Crosato, & Uijttewaal, ).…”
Section: Modelmentioning
confidence: 99%