Scholarly record
FUTURE SHORELINE PREDICTION USING TRANSECTING CHANGE RATE AND BINNING
Abstract
Coastal zones are exposed to many dynamic processes that usually cause changes on long and short time spans. Erosion, sediment transport, environmental pollution and coastal development are among the most severe processes impacting the coastal zones. Monitoring of shoreline change needs a long-term commitment and objective decisions on shoreline change are usually made based on shoreline and erosion monitoring data that are usually acquired cumulatively over a long period of time. The purpose of the present work is to evaluate the most commonly used shoreline change rate methodology of the Least Squares and the Binning method to estimate the future shoreline position of a coastal area. The method which computes the smallest positional differences to the latest existing shoreline (which is generated by the methods although it is known) will be the most accurate. The Binning method gives the best estimate compared to all classical methods and thus it must be implemented for predicting future shoreline position needed by coastal engineers and land managers.
Publication details
References2
Genz, A. (2006): Predictive Accuracy of Shoreline Change Rate Methods and Alongshore Beach Variation on Maui, Hawaii, Master Thesis, University of Hawaii.
Fenster, M. S., et all. (1993): A New Method for predicting Shoreline Positions from Historical Data, J. of Coastal Research.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.