A PREDICTIVE FUZZY LOGIC MODEL TO BIMODAL WAVE PARTITIONING IN WELSH COASTLINE

  • Stephen Orimoloye
  • Dominic E. Reeve
  • Harshinie Karunarathna

Abstract

Bimodal seas are usually characterised by the combination of swell and locally generated wind energy. Understanding the percentage of the swell component (SC) and the wind component (WC) partitioned from the energy content of a Wave System (WS) is important in coastal defense design and management. The South Wales and southwest England wave climate is mostly characterised by bimodal wave spectra because they are directly facing the North Atlantic Ocean. In this paper, we describe the application of fuzzy logic to develop an efficient wave partitioning system for bimodal wave energy separation that can be used to characterise the percentage of swell and wind waves in a measured sea state.

References

CCO (2017), 'Channel Coastal Observatory - Real time data', Online, assessed 20 August 2017, available at: http://www.channelcoast.org/.

Hanson and Philips (2001), 'Automated analysis of ocean surface directional wave spectral'. Journal of Atmospheric and Oceanic Technology, 18, 277-293.

Reeve, Chadwick, and Fleming (2015), 'Coastal engineering: Processes, theory and design practice', Spon Press, p. 518.

Published
2018-12-30
How to Cite
Orimoloye, S., Reeve, D. E., & Karunarathna, H. (2018). A PREDICTIVE FUZZY LOGIC MODEL TO BIMODAL WAVE PARTITIONING IN WELSH COASTLINE. Coastal Engineering Proceedings, 1(36), waves.21. https://doi.org/10.9753/icce.v36.waves.21

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