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Intro

XBeach-Veg is a module of the XBeach model software that can take into account the effect of wave and flow damping due to vegetation. This wiki-page gives an overview on the model itself, how to use it, and typical applications. If you have any questions, please contact Arnold.vanRooijen@deltares.nl or Ellen.Quataert@deltares.nl.

                           

 

XBeach

XBeach is a numerical storm impact model software that allows for simulations of flow, waves, sediment transport and morphological changes (Roelvink et al., 2009). It is mostly applied for relatively short (hours to days) and medium-scale (few km's) applications, although nowadays paralel computing allows for longer and larger simulations easily. The model is in general very similar to Delft3D, but has a few differences. In contrary to Delft3D, XBeach computes the propagation of short (wind-generated) waves by itself (so no coupling with SWAN needed), and computes these waves on the scale of wave groups. Furthermore, XBeach computes the long, infragravity waves which are found to be important during storm conditions (Van Thiel de Vries, 2009). In short you could roughly say that XBeach is more accurate than Delft3D+SWAN, but it will also need a higher grid resolution, so simulations will take more time. Therefore Delft3D (i.c.w. SWAN) is generally used for longer simulations on a larger scale. For more information on XBeach, please refer to www.xbeach.org and Roelvink et al. (2009).

XBeach was originally developed for simulating the behavior of sandy coasts under extreme / energetic hydrodynamic conditions, specifically the processes of dune erosion (e.g. Van Thiel de Vries, 2009) and dune overwash (McCall et al., 2010). However, over the years several developments have lead to the very broad range of applications that XBeach is used for nowadays. XBeach is not only applied on sandy coasts anymore, but also on gravel coasts and coasts fronted by coral reef systems. And more recently, XBeach is being used to study erosion of (muddy) tidal flats. In addition to sandy, gravel, coral and muddy coasts, XBeach has been extended with a number of formulations to be able to simulate flow and waves on vegetated coasts (e.g. mangroves, sea grass, kelp etc.).  

Example measured and computed wave height evolution for lab tests Kansy (1999),
with (measured: circles, model: solid line) and without (measured: squares, model: dashed line) vegetation.

Theory

General theory

This section describes the theory behind the current implementation in the XBeach model source code. However, at this moment code developments are ongoing, so this part is subject to change on a regular basis. 

When waves propagate through a vegetation field, wave energy is dissipated due to the work carried out by the waves on the vegetation. When assuming normally incident waves, and neglecting wave growth, refraction and dissipation due to friction and wave breaking, the wave energy conservation equation can be written as:

where E is the wave energy density, cis the wave group velocity and εv is the time-averaged vegetation-induced rate of energy dissipation per unit horizontal area. A widely used method is to compute the time-averaged wave energy loss as the actual work carried out by the waves on the vegetation as function of the wave-induced drag force (e.g. Dalrymple et al., 1984):


where h is the water depth, αh is the vegetation height, F is the horizontal component of the force acting on the vegetation per unit volume, and u is the horizontal velocity. The overbar indicates averaging over time. When neglecting the plant swaying motion and inertial forces, the plant-induced force can be expressed with a Morison-type equation (Morison et al., 1950):

where ρ is the water density, CD is a drag coefficient, bv is the vegetation stem diameter, and N is the vegetation density. By applying linear wave theory to compute the horizontal component of the velocity, Dalrymple et al. (1984) found an expression for the time-averaged energy dissipation for regular waves propagation through a vegetation field on a uniform bed. This expression was extended by Mendez and Losada (2004) to include random waves, and waves propagating over a sloping bed, given by:

where k is the wave number, g is the gravitational acceleration, σ is the wave frequency, h is the water depth, CD is the (bulk) drag coefficient and Hrms is the root mean square wave height. 

Damping of short (wind) waves

To take into account the damping effect of vegetation on the incident waves, the expression derived by Mendez and Losada (2004) was added to the short wave action balance:

where A = Ew/σ, Ew is the wave energy, Dbreak is the wave dissipation due to breaking and Dveg is the wave energy dissipation due to the presence of vegetation, which can be computed using Eq. [4], and where the root mean square wave height is given by:

Following Suzuki et al (2011) the expression was slightly adjusted to take into account vertical layering of the vegetation:

where Dveg is the total short wave energy dissipation due to vegetation, nv is the number of vertical vegetation segments and Dveg,i is the short wave energy dissipation due to vegetation layer i:

By using this expression not only vertically uniform vegetation (e.g. sea grass) but also vegetation with a (strong) variation in characteristics over the vertical axis can be modeled (e.g. mangroves).

Damping of long (infragravity) waves and flow

XBeach uses the depth-averaged Generalized Lagrangian Mean (GLM) formulations (Andrews & McIntyre, 1978; Walstra et al., 2000) to solve the mean flow and the infragravity water level motions and velocities. Since here the instantaneous velocities are directly resolved, the effect of vegetation can be directly included using the drag force:

Typical applications

  • coastal areas where waves are present
  • mangrove forests
  • kelp vegetation
  • salt marshes
  • etc.

      

How to use it?

under development

Further readings

Van Rooijen et al. (2014). MODELING OF WAVE ATTENUATION BY VEGETATION WITH XBEACH. Submitted to conference proceedings of the 36th IAHR World Congress: http://repository.tudelft.nl/view/ir/uuid%3A98a66b95-8fed-421a-9bfe-4ae978375dbe/

Roelvink et al. 2009: http://www.sciencedirect.com/science/article/pii/S0378383909001252

XBeach Manual: http://oss.deltares.nl/documents/48999/49476/XBeach_manual_11032015.pdf

 

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