A comparison between three short-term shoreline prediction models

Ocean and Coastal Management

Volumn 69, Issue , 2012, Pages 102-110

  Goncalves, Rodrigo Mikosz ^a   Awange, Joseph L ^b   Krueger, Claudia Pereira ^c   Heck, Bernhard ^d   Coelho, Leandro dos Santos ^e  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

^b CURTIN UNIVERSITY   (Australia)

^c FEDERAL UNIVERSITY OF PARANÁ   (Brazil)

^d KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^e PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE APPROACH; COASTAL AREA; CONTROL VALUES; GPS DATA; HISTORICAL INFORMATION; INPUT DATAS; MEAN ABSOLUTE PERCENTAGE ERROR; MODEL CHOICE; MONITORING AND MANAGEMENT; NEURAL NETWORK METHOD; ORTHOPHOTOS; PREDICTION MODEL; ROBUST ESTIMATION; ROBUST MODELS; ROBUST PARAMETER ESTIMATION; SHORELINE CHANGE; SHORELINE POSITION; SHORT-TERM ANALYSIS;

FORECASTING; LINEAR REGRESSION; MAPPING; MATHEMATICAL MODELS; NEURAL NETWORKS; PARAMETER ESTIMATION;

GLOBAL POSITIONING SYSTEM;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; CARTOGRAPHY; COASTAL ZONE MANAGEMENT; ERROR ANALYSIS; GPS; MODEL VALIDATION; MONITORING; ORTHOPHOTO; PHOTOGRAMMETRY; PREDICTION; REGRESSION ANALYSIS; SHORELINE; UNCERTAINTY ANALYSIS;

BRAZIL; PARANA [BRAZIL];

EID: 84866882259     PISSN: 09645691     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ocecoaman.2012.07.024     Document Type: Article

References (38)

1. Addo K.A., Walkden M., Mills J.P. Detection, measurement and prediction of shoreline recession in Accra, Ghana. ISPRS Journal of Photogrammetry & Remote Sensing 2008, 63:543-558.
2. Aduol F.W.O. Robust geodetic parameter estimation through iterative weighting. Survey Review 1994, 32(252):359-367.
3. Álvarez-Ellacuría A., Orfila L., Gómez-Pujol G., Simarro N. Obregon Decoupling spatial and temporal patterns in short-term beach shoreline response to wave climate. Geomorphology 2011, 128(3-4):199-208.
4. Arbib M.A. The Handbook of Brain Theory and Neural Networks 2003, Massachusetts Institute of Technology.
5. Awange J.L., Aduol F.W.O. An evaluation of some robust estimation techniques in the estimation of geodetic parameters. Survey Review 1999, 35(273):146-162.
6. Awange J.L. Environmental Monitoring Using GNSS 2012, Springer, Berlin-New York.
7. Boak E.H., Turner I.L. Shoreline definition and detection: a Review. Journal of Coastal Research 2005, 21(4):688-703.
8. Crowell M., Letherman S.P., Buckley M.K. Historical shoreline change: error analysis and mapping accuracy. Journal of Coastal Research 1991, 7(3):839-852.
9. Crowell M., Douglas B.C., Leatherman S.P. On forecasting future U.S. shoreline positions: a test of algorithms. Journal of Coastal Research 1997, 13(4):1245-1255.
10. Demarest J.M., Leatherman S.P. Mainland influence on coastal transgression: Delmarva Peninsula. Marine Geology 1985, 63:19-33.
11. Douglas B.C., Crowell M., Leatherman S.P. Considerations for shoreline position prediction. Journal of Coastal Research 1998, 14(3):1025-1033.
12. Douglas B.C., Crowell M. Long-term shoreline position prediction and error propagation. Journal of Coastal Research 2000, 16(1):145-152.
13. Fenster M.S., Dolan R., Elder J.F. New method for predicting shoreline positions from historical data. Journal of Coastal Research 1993, 9(1):147-171.
14. Fenster M.S., Dolan R., Morton R.A. Coastal storms and shoreline change: signal or noise?. Journal of Coastal Research 2000, 17(3):714-720.
15. Galgano F.A., Douglas B.C., Leatherman S.P. Trends and variability of shoreline position. Journal of Coastal Research 1998, 26:282-291.
16. Galgano F.A., Douglas B.C. Shoreline position prediction: methods and errors. Environmental Geosciences 2000, 7(1):1-10.
17. Goncalves, R.M. Short-term trend modeling of the shoreline through geodetic data using linear regression, robust estimation and artificial neural networks, 2010. Ph.D. thesis. Geodetic Sciences Post-graduate Program, Federal University of Parana (UFPR), Curitiba, Brazil, p. 152.
18. Gorman L., Morang A., Larson R. Monitoring the coastal environment; part IV: mapping, shoreline changes, and bathymetric analysis. Journal of Coastal Research 1998, 14(1):61-92.
19. Hagan M.T., Menhaj M.B. Training feedforward networks with the Marquardt algorithm. IEE Transactions on Neural Networks 1994, 5(6):989-993.
20. Hampel F.R., Ronchetti E.M., Rousseeuw P.J., Stahel W.A. Robust Statistics: the Approach Based on Influence Functions 1986, Wiley, New York.
21. Hayati M., Shirvany Y. Artificial neural network approach for short term load forecasting for Illam region. World Academy of Science. Engineering and Technology 2007, 28:280-284.
22. Haykin S. Neural Networks - A Comprehensive Foundation 1999, McMaster University Hamilton, Ontario, Canada, Pearson Education.
23. Hecky R.E., Newbury R.W., Bodaly R.A., Patalas K., Rosenberg D.M. Environmental impact prediction and assessment: the southern Indian lake experience. Canadian Journal of Fisheries and Aquatic Sciences 1984, 41(4):720-732.
24. Huber P.J. Robust estimation of a location parameter. Annals of Mahtematical Statistics 1964, 35:73-101.
25. Huber P.J. Robust Statistics 1981, John Wiley & Sons, New York.
26. Kröse B., Smagt P.V.D. An Introduction to Neural Networks 1996, The University of Amsterddam. eighth ed.
27. Krueger C.P., Goncalves R.M., Heck B. Surveys at the coast of Parana, Brazil, to determinate the temporal coastal changes. Journal of Coastal Research 2009, 1:632-635.
28. Lera G., Pinzolas M. Neighborhood based Levenberg-Marquardt algorithm for neural network training. IEE Transactions on Neural Networks 2002, 13(5):1200-1203.
29. Li, R., Di, K., Ma, R., 2001. A comparative study of shoreline mapping techniques. In: The 4th International Symposium on Computer Mapping and GIS for Coastal Zone Management, Nova Scotia.
30. Li R., Keong C.W., Ramcharan E., Kjerfve B., Willis D. A costal GIS for shoreline monitoring and management - case study in Malaysia. Surveying and Land Information Systems 1998, 58(3):157-166.
31. Metropolitan Borough of Sefton, 2002. Shoreline monitoring annual report 2001/2002. (accessed 14.11.08.). http://www.sefton.gov.uk/pdf/TS_cdef_monitor_20012.pdf.
32. Mitishita, E.A., Kirchner F.F. Digital mono-diferential restitution of airphotos applied to planimetric mapping. In: International Archieves of Photogrammetry and Remote Sensing, vol. XXXIII, Part B4. Amsterdam 2000, pp. 655-662.
33. Schaible B., Lee Y.C. Fuzzy logic models with improved accuracy and continuous differentiability. IEEE Transactions on Components, Packaging, and Manufacturing Technology 1996, 19(1):37-47.
34. Soares, C.R., Vobel, I., Paranhos Filho, A.C. 1995. The marine erosion problem in Matinhos municipality. In: Land Ocean Interactions on the Coastal Zone, 1995, São Paulo, pp. 48-50.
35. Souza C.R.G. Coastal erosion and the coastal zone management challenges in Brazil. Journal of Integrated Coastal Zone Management 2009, 9(1):17-37.
36. Thieler E.R., Pilkey O.H., Young R.S., Bush D.M., Chai F. Behavior for U.S. coastal engineering: a critical review. Journal of Coastal Research 2000, 16(1):48-70.
37. Tzatzanis M., Wrbka T., Sauberer N. Landscape and vegetation responses to human impact in sandy coasts of Western Crete, Greece. Journal for Nature Conservation 2003, 11(3):187-195.
38. Veloso-Gomes A., Barroco A.R., Pereira C.S., Reis H., Calado J.G., Ferreira M.D.C., Freitas M. Biscoito Basis for a national strategy for integrated coastal zone management - in Portugal. Jornal of Coast Conservatin 2008, 12:3-9.