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Application of a statistical method to investigate patterns of beach evolution in the vicinity of a seawall
Horrillo-Caraballo, J.M.; Reeve, D.E. (2011). Application of a statistical method to investigate patterns of beach evolution in the vicinity of a seawall. J. Coast. Res. SI 64: 95-99
In: Journal of Coastal Research. Coastal Education and Research Foundation: Fort Lauderdale. ISSN 0749-0208; e-ISSN 1551-5036, meer
Peer reviewed article  

Beschikbaar in  Auteurs 
Documenttype: Congresbijdrage

Author keywords
    Beach profile; Canonical Correlation Analysis; Empirical Orthogonal Functions; Forecast; Statistical models

Project Top | Auteurs 
  • Innovative coastal technologies for safer European coasts in a changing climate

Auteurs  Top 
  • Horrillo-Caraballo, J.M.
  • Reeve, D.E.

    In this paper we describe the application of Canonical Correlation Analysis (CCA) to an historical dataset of seabed elevations within a coastal segment of the English south eastern coast. The study site is located along the frontage of Walcott (Norfolk, East coast of England). The beaches along this segment of coast are mainly composite, mixed sand and shingle. The dataset comprises detailed bathymetric surveys of beach profiles covering a period of over 17 years (~ 2 beach profile surveys every year). The structure of the dataset and the data handling methods are described. The application of the CCA method is discussed as well as the ability of the CCA to provide useful forecast of the beach profile at Walcott. Some results and interpretation of the analysis are presented. Beach profiles predictions agreed well with the measured profiles for up to five years of forecast at the site. The level of error using CCA is proportionate with that found with dynamical modelling. It is expected that this relationship will be used by coastal planners to predict profile evolution based on waves and storm surges.

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