Order this information in Print

Order this information on CD-ROM

Download in PDF Format

     

Click here to make tpub.com your Home Page

Page Title: Program files (Cont.)
Back | Up | Next

Click here for a printable version

Google


Web
www.tpub.com

Home


   
Information Categories
.... Administration
Advancement
Aerographer
Automotive
Aviation
Combat
Construction
Diving
Draftsman
Engineering
Electronics
Food and Cooking
Math
Medical
Music
Nuclear Fundamentals
Photography
Religion
USMC
   
Products
  Educational CD-ROM's
Printed Manuals
Downloadable Books
   

 

wave simulation capability is described by Borgman and Scheffner (1991) and
Scheffner and Borgman (1992). This approach is used to generate an arbitrarily
long time sequence of simulated wave data that preserves the primary statistical
properties of the full 20-year WIS hindcast, including wave sequencing and
seasonality. Once the matrix has been computed, multiple wave field simula-
tions can be performed, with each time series stored on the file HPDSIM.OUT.
The primary advantage of using this statistically based wave simulation
approach is that the user is not limited to a finite length of data; instead, seasonal
or yearly repetitions of time series can be used for evaluations of site stability.
Each simulation will be statistically similar to the hindcast data but will contain
variability consistent with observations. If HPDPRE.OUT matrix is not avail-
able for the location of interest, one can be computed by the user or by CHL
through use of a WIS 20-year hindcast input file and execution of the program
HPDPRE. If the location of interest is not covered by the WIS hindcast data-
base, existing time series of wave height, period, and direction will have to be
supplied by the user.
The long-term simulations described above, i.e., simulations of months to
years, compute disposal mound stability as a function of residual currents speci-
fied by the user in LTFATE, the normal seasonal wave climate, and the tidal
elevation and currents computed from the specified tidal constituents in the
TIDAL.DAT file. Storm-event erosion calculations are based on surge
elevation and currents and the wave field associated with that specific event.
These data are contained in the final input file required by LTFATE, the file
STORM.DAT. This file must be assembled from existing databases or gen-
erated by the user. However, the file is required only if the user desires to
simulate the passage of a storm event over the disposal site.
The STORM.DAT file contains either a tropical or extratropical storm surge
elevation and current time series hydrograph with a corresponding storm wave
height and period corresponding to the selected event. A database of tropical
storm hydrographs for 134 historically based tropical storms has been completed
for the 486 WIS and offshore discrete locations along the east and Gulf of
Mexico coasts and for selected stations offshore of Puerto Rico. This database is
described by Scheffner et al. (1994). The companion extratropical event data-
base for the east and Gulf coasts and Puerto Rico has been completed.
A wave climate corresponding to the selected event can be obtained from
either available data (if the surge is historically based) or estimated as a function
of storm-associated or design peak wave height and periods. In the New York
Bight Mud Dump example shown in the frequency of erosion appendix, the
surge elevation and velocities were obtained from numerical simulations of the
December 1992 extratropical event. The wave field corresponding to the
December event was obtained from National Data Buoy Center data. For future
applications, surge and current information is now available in a DRP database
(reference). If wave data are not available for the selected event, then design
peak wave height and period estimates can be used.
F9
Appendix F LTFATE Model

Privacy Statement - Press Release - Copyright Information. - Contact Us - Support Integrated Publishing

Integrated Publishing, Inc. - A (SDVOSB) Service Disabled Veteran Owned Small Business