Numerical Modeling of the Interactions Between Nonlinear Waves and Arbitrarily Flexible Vegetation

Tahvildari, Navid

doi:10.9753/icce.v35.waves.32

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…The swaying motions of flexible vegetation stems modify u in equation (1) as the relative velocity u r = u − u v , where u v is the vegetation swaying velocity. The dynamic interactions between waves and flexible vegetation have been studied through physical experiments and numerical models (e.g., Abdolahpour et al, 2017;Luhar & Nepf, 2016;Mattis et al, 2015;Mullarney & Henderson, 2010;Tahvildari, 2017;Zhu & Chen, 2015). Due to the complexity of modeling flexible vegetation, the present study focuses on f d (t, z) induced by rigid vegetation, simplified as rigid cylinders.…”

Section: Methodsmentioning

confidence: 99%

Phase‐Averaged Drag Force of Nonlinear Waves Over Submerged and Through Emergent Vegetation

Zhu

Chen

2019

JGR Oceans

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Aquatic vegetation protects the shoreline by dissipating the wave energy and reducing the mean water level. For the latter, the phase‐averaged depth‐integrated drag force induced by vegetation ( trueFd‾) plays an essential role. For linear waves, the trueFd‾ exerted by submerged vegetation ( trueFdsub‾) and by the submerged part of emergent vegetation ( trueFdtrough‾) equal 0. As the wave nonlinearity increases, the profile of the horizontal velocity (u) becomes skewed and non–cosine shaped, and thus, both trueFdsub‾ and trueFdtrough‾ are nonzero (phase average of u|u|≠0) and their significance increases. This study examines the effects of wave nonlinearity and vegetation submergence on trueFd‾ based on stream function wave theory. In deep water, it is found that the wave nonlinearity slightly affects trueFdtrough‾ due to the negligible weight of trueFdtrough‾ in the overall trueFd‾. Both the wave nonlinearity and vegetation submergence have negligible effects on trueFdsub‾ as well. In shallow water, trueFdtrough‾ takes up a large percentage in the overall trueFd‾ for emergent vegetation, and a linear relationship between trueFdsub‾ and vegetation submergence exists for waves with relatively small wave heights. The applicable range of the linear wave theory based trueFd‾ is determined using trueFd‾ from stream function wave theory as a reference solution. Moreover, a parametric model is developed for evaluating trueFd‾ for random waves. The mean water level changes, or wave setup, on a vegetated sloping beach are validated and quantified using experimental data obtained from literature.

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Section: Methodsmentioning

confidence: 99%

Phase‐Averaged Drag Force of Nonlinear Waves Over Submerged and Through Emergent Vegetation

Zhu

Chen

2019

JGR Oceans

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“…The model accounts for stem drag, inertial, skin friction, and buoyancy forces. This model has previously been coupled with a Boussinesq-type wave model for a single (Tahvildari, 2017) and multiple (Tahvildari and Zeller, submitted) vegetation stems. Since Bossiness-type models are limited to shallow water waves, vertical variability of flow and vegetation response may not be captured adequately.…”

Section: Numerical Modelsmentioning

confidence: 99%

Nonhydrostatic Modeling of Flow Interactions With Highly Flexible Vegetation

Tahvildari¹,

Familkhalili²,

Ma³

2020

Int. Conf. Coastal. Eng.

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Improving our understanding of the interactions between gravity waves, currents, and coastal vegetation, which are nonlinear in nature, enables coastal engineers and managers to better estimate hydrodynamic forces on coastal infrastructure and utilize natural elements to mitigate their impacts. Aquatic vegetation is ubiquitous in coastal waters and it is well-known that flow loses energy over vegetation. Computational modeling of wave-vegetation interaction has been the subject of numerous recent studies and many improvements have been achieved in reducing limitations applied on wave and vegetation behavior in these models. Mechanisms for highly flexible vegetation have been incorporated in a Boussinesq-type model and Reynolds-Averaged Navier-Stokes (RANS) models. Flow dynamics over flexible vegetation and vegetation dynamics in response to hydrodynamic forcing are important for predicting wave and surge dissipation by vegetation, storm impacts on vegetation canopies, ecological processes, and sediment transport in estuaries, and require further investigation. In this study, we implement a numerical model for highly flexible vegetation in an open-source RANS model NHWAVE to address some of these questions.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/oAwb8nu4RSs

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“…Among other methods associated with remote sensing data, digital processing of images acquired through Unmanned Aerial Vehicles (UAV) represents a promising tool for mapping the most relevant riparian vegetation parameters within vegetated water bodies. UAV-based multi and hyperspectral images have been largely applied in many forestry and precision agriculture studies [12][13][14][15][16]. However, a methodology for predicting the main hydrodynamic features of real vegetated water bodies based on these approaches is still an open research window.…”

Section: Introductionmentioning

confidence: 99%

Bulk Drag Predictions of Riparian Arundo donax Stands through UAV-Acquired Multispectral Images

Lama

Crimaldi

Pasquino

et al. 2021

Water

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Estimating the main hydrodynamic features of real vegetated water bodies is crucial to assure a balance between their hydraulic conveyance and environmental quality. Riparian vegetation stands have a high impact on vegetated channels. The present work has the aim to integrate riparian vegetation’s reflectance indices and hydrodynamics of real vegetated water flows to assess the impact of riparian vegetation morphometry on bulk drag coefficients distribution along an abandoned vegetated drainage channel fully covered by 9–10 m high Arundo donax (commonly known as giant reed) stands, starting from flow average velocities measurements at 30 cross-sections identified along the channel. A map of riparian vegetation cover was obtained through digital processing of Unnamed Aerial Vehicle (UAV)-acquired multispectral images, which represent a fast way to observe riparian plants’ traits in hardly accessible areas such as vegetated water bodies in natural conditions. In this study, the portion of riparian plants effectively interacting with flow was expressed in terms of ground-based Leaf Area Index measurements (LAI), which easily related to UAV-based Normalized Difference Vegetation Index (NDVI). The comparative analysis between Arundo donax stands NDVI and LAI map enabled the analysis of the impact of UAV-acquired multispectral imagery on bulk drag predictions along the vegetated drainage channel.

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Numerical Modeling of the Interactions Between Nonlinear Waves and Arbitrarily Flexible Vegetation

Cited by 6 publications

References 26 publications

Phase‐Averaged Drag Force of Nonlinear Waves Over Submerged and Through Emergent Vegetation

Phase‐Averaged Drag Force of Nonlinear Waves Over Submerged and Through Emergent Vegetation

Nonhydrostatic Modeling of Flow Interactions With Highly Flexible Vegetation

Bulk Drag Predictions of Riparian Arundo donax Stands through UAV-Acquired Multispectral Images

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