You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Sediment Trend Analysis (STA®): Kinematic vs. Dynamic Modeling
Journal of Coastal Research
Vol. 30, No. 3 (May 2014), pp. 429-437
Published by: Coastal Education & Research Foundation, Inc.
Stable URL: http://www.jstor.org/stable/43290074
Page Count: 9
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
Preview not available
The number of techniques commonly used to determine sediment transport (its erosion, movement, and deposition) is limited. They include geomorphological observations, tracers, in situ measurements, and numerical modeling, each of which has various practical difficulties or a necessity for assumptions that may be inadequate or incorrect. Another approach, using the relative changes in grain-size distributions to derive the net sediment-transport patterns and sediment behavior, has become increasingly common, and a number of methods applying its theory has been developed. This article concerns itself principally with the technique, developed by the author, known as Sediment Trend Analysis (STA). Unlike a dynamic model in which processes resulting in sediment transport must be assumed, STA is a kinematic model, whereby the behavior of sediment particles is described without regard to the process. Kinematic modeling is, in comparison to dynamic modeling, simple to do and, in many practical situations, may supply sufficient information for most sediment management issues. If not, however, it is suggested that a kinematic model is a necessary prerequisite to assess the most-effective methods for obtaining quantitative information, including directing and validating the morecomplex techniques of dynamic modeling.
Journal of Coastal Research © 2014 Coastal Education & Research Foundation, Inc.