Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32451
Recursive Filter for Coastal Displacement Estimation

Authors: Efstratios Doukakis, Nikolaos Petrelis


All climate models agree that the temperature in Greece will increase in the range of 1° to 2°C by the year 2030 and mean sea level in Mediterranean is expected to rise at the rate of 5 cm/decade. The aim of the present paper is the estimation of the coastline displacement driven by the climate change and sea level rise. In order to achieve that, all known statistical and non-statistical computational methods are employed on some Greek coastal areas. Furthermore, Kalman filtering techniques are for the first time introduced, formulated and tested. Based on all the above, shoreline change signals and noises are computed and an inter-comparison between the different methods can be deduced to help evaluating which method is most promising as far as the retrieve of shoreline change rate is concerned.

Keywords: Climate Change, Coastal Displacement, KalmanFilter

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1318


[1] E. Doukakis, "The Dilemma of the Illegibility of State Visions: The Greek Coastal Legislation", 2004.
[2] A. Tsakiri, "The study and the automatation of the estimation methods concerning shoreline evolution", Diploma thesis, S.R.S.E./N.T.U.A (In Greek), 2007.
[3] M. Crowell, M. Honeycutt and D. Hatheway, Coastal erosion hazards study: phase one mapping. Journal of Coastal Research, Special Issue No. 28, pp. 10-20, 1999.
[4] E. Doukakis, "Coastal Vulnerability and Risk Parameters", International Symposium on Water Resources Management: Risk and Challenges for the 21st Century, Izmir, Turkey, 2004.
[5] IPCC, Climate Change 2007, Synthesis Report. The 4th Assessment of the Intergovernmental Panel on Climate Change, November 2007.
[6] M. Crowell, S. P. Leatherman and M. K. Buckley, "Historical Shoreline Change: Error Analysis and Mapping Accuracy", Journal of Coastal Research, 7(3), 839-852, 1991.
[7] E. R. Foster and R. J. Savage, "Methods of historical shoreline analysis", ASCE publications, pp. 4434-4448, 1989.
[8] R. Dollan, M. S. Fenster and S. J. Holme, Temporal analysis of shoreline recession and accretion, Journal of Coastal Research, 7(3), 723-744, 1991.
[9] B. C. Douglas, M. Crowell and S. P. Leatherman, Considerations for shoreline position prediction, Journal of Coastal Research, 14(3), 1025- 1033, 1998.
[10] M. S. Fenster, R. Dolan and J. F. Elder, A new method for predicting shoreline positions from historical data. Journal of Coastal Research, 9(1), 147-171, 1993.
[11] M. G. Honeycutt, M. Crowell and B. C. Douglas, Shoreline position forecasting: impact of storms, rate-calculation methodologies, and temporal scales. Journal of Coastal Research, 17(3), 721-730, 2001.
[12] D. P. Bartsekas, "Incremental least squares methods and the extended Kalman filter", SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 1995.
[13] P. J. Rousseeuw and A. M. Leroy, Robust Regression and Outlier Detection. New York: John Wiley and Sons, Inc., 329p, 1987.
[14] G. Welch and G. Bishop, "An introduction to the Kalman Filter", SIGGRAPH 2001, Course 8, University of North Carolina at Chapel Hill, Department of Computer Science, NC 27599-3175, 2001.
[15] D. Delikaraoglou and B. Massinas, "The Kalman filter in relation to the least squares method", S.R.S.E./N.T.U.A, Lecture notes (In Greek), 2007.
[16] A. Tarantola, Inverse Problem Theory Methods for Data Fitting and Model Parameter Estimation. New York: Elsevier, 613p, 1987.
[17] R. E. Kalman, "A new approach to linear filtering and prediction problems", Research Institute for Advanced Study, Baltimore Md, Journal of Basic Engineering, 82 (Series D): 35-45, 1960.