Bottom Friction

Bottom Friction

The mean (short-wave averaged) bed shear stress, $\tau _{bi}$, is calculated as

$\tau _{bi}=\lambda _{wc}\tau _{ci}$ (2-8)

where

$\lambda _{wc}=$ nonlinear bottom friction enhancement factor $\left(\lambda _{wc}\geq 1\right)$ [-]

$\tau _{c}=$ current-related bed shear stress vector [Pa]

The current bed shear stress is given by

$\tau _{ci}=\rho c_{b}UU_{i}$ (2-9)

where

$\rho =$ water density (~1025 kg/m³)

c_b = bed friction coefficient [-]

$U=$ current magnitude = ${\sqrt {U_{i}^{2}+U_{j}^{2}}}$ [m/s]

The bottom roughness is specified with either a Manning's roughness coefficient $\eta$ , Nikuradse roughness height k_s , or bed friction coefficient c_b . It is important to note that the roughness value is held constant throughout the simulation and is not changed according to bed composition and bedforms. This is a common engineering approach which can be justified by the lack of data to initialize the bed composition, and the large error in estimating the bed composition evolution and bedforms. In addition using a constant bottom roughness simplifies the model calibration. In future versions of CMS, it option to automatically estimate the bed roughness from the bed composition and bedforms will be added.

The bed friction coefficient c_b is related to the Manning’s roughness coefficient $\eta$ by (Graf and Altinakar 1998)

$c_{b}=\left({\frac {\kappa }{ln(z_{0}/h)+1}}\right)^{2}$ (2-11)

where $\kappa =$ 0.4. The roughness length is related to the Nikuradse roughness (roughness height specified in SMS interface for CMS-Flow) by $z_{0}=k_{z}/30.$ SOMETHING IS MISSING provides mean roughness heights from a large number of field measurements over natural sea beds.

In the presence of waves, the mean (wave-averaged) bed friction is enhanced beyond the value that would result from a linear superposition of the current- and wave-related components. This enhancement of the bed friction is due a nonlinear interaction between waves and currents in the bottom boundary layer. In CMS, the bottom friction enhancement is included through an explicit factor in the quadratic bottom friction equation (Eq. 2-4) that simplifies the numerical discretization. The nonlinear bot-tom friction enhancement factor is calculated using one of the following formulations (name abbreviations are given in parenthesis):

1. Quadratic formula (QUAD)

2. Soulsby (1995) empirical two-coefficient data fit (DATA2)

3. Soulsby (1995) empirical thirteen-coefficient data fit (DATA13)

4. Fredsoe (1984) analytical wave-current boundary layer model (F84)

5. Huynh-Thanh and Temperville (1991) numerical wave-current boundary layer model (HT91)

6. Davies et al. (1988) numerical wave-current boundary layer model (DSK88)

7. Grant and Madsen (1979) analytical wave-current boundary layer model (GM79)

In the case of the quadratic formula (QUAD),

$\lambda _{wc}={\frac {\sqrt {U^{2}+c_{w}u_{w}^{2}}}{U}}$ (2-12)

where c_w is an empirical coefficient equal to approximately 0.5 and u_w is the bottom wave orbital velocity amplitude. For random waves, u_w is calculated based on the significant wave height and peak wave period, from linear wave theory as

$u_{wc}={\frac {\pi H_{s}}{T_{p}sinh(kh)}}$ (2-13)

The DATA2, DATA13, F84, and HT91 formulations are calculated using general parameterization of Soulsby (1995),

$\lambda _{wc}=1+bX^{P}(1-X)^{q}$ (2-14)