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The validation of a new GSTA case in a dynamic coastal environment using morphodynamic modelling and bathymetric monitoring

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Research output: Contribution to journalArticlepeer-review

Abstract

Several methods of monitoring sediment transport exist and have varying degrees of success depending on the study sites characteristics. Grain Size Trend Analysis (GSTA) is an experimental method based on identifying transport trends from the variation of sediment grain characteristics within a defined study area. The parameters examined when performing GSTA are mean grain size, sorting coefficient and skewness, the most common cases found in field studies being; finer, better sorted and negatively skewed (FB-) or coarser, better sorted and positively skewed (CB+), as most transport trends follow one or the other trend. However, on Rossbeigh beach, Co. Kerry, Ireland, a coarser poorer and more negatively skewed (CP-) trend case gave the most realistic plot of sediment transport trend when compared with sediment transport calculation, bathymetry surveys, hydrodynamic monitoring and morphological modelling.

Original languageEnglish
Article number27
JournalJournal of Marine Science and Engineering
Volume4
Issue number1
DOIs
Publication statusPublished - 1 Mar 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Barrier beach
  • Coastal erosion
  • GSTA
  • Morphodynamic modelling
  • Sediment transport

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