GenCade:Sand Transport Rates: Difference between revisions

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{{DISPLAYTITLE:GenCade Sand Transport Rates}}
As stated on the [[GenCade:Basic Governing Equations|Governing Equations]] page, the governing equation of GenCade is
As stated on the [[GenCade:Basic Governing Equations|Governing Equations]] page, the governing equation of GenCade is



Revision as of 21:54, 20 December 2022

As stated on the Governing Equations page, the governing equation of GenCade is

This equation is solved with the inputs of boundary conditions and values for Q, q, DB and DC given.

The sand transport rates, Q, is taken from the 'CERC' equation for calculating longshore sediment transport. As formulated in Komar (1969):

where H is the wave height (meters), is the group wave celerity (meters/second), is the angle of the breaking waves to the shoreline, with the subscript b indicating the wave breaker position. Lastly, is a non-dimensional parameter:

where K1 is an empirical coefficient with a nominal value of 0.77, ps and p are the density of sand and water, respectively, and p is the porosity of sand. In the GENESIS model (Hanson 1987) used an extended version of this relation (Kraus and Harikai 1983):

where is a non dimensional parameter given by:

where is the average bottom slope from the shoreline to the "maximum depth of longshore transport" (See Empirical Parameters). The nominal value of is 0.39 if waves are specified in terms of RMS wave heights (Komar 1976) and 0.77 when using significant wave heights. As a rule of thumb, based on modeling experience, Hanson and Kraus (1989) recommend .

In the calibration and verification process, and values are determined by reproducing changes in shoreline position measured over a certain time interval. Adjusting the coefficient will effect the entire modeling domain while will only affect the evolution in areas influenced by wave diffraction near structures. In the calibration process, it is recommended that the value is adjusted first to get a reasonable agreement with respect to annual transport rates and overall shoreline evolution. Then, the value may be altered to improve predicted shoreline response near structures.



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