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The Validation of a New GSTA Case in a Dynamic Coastal Environment Using Morphodynamic Modelling and Bathymetric Monitoring

1
Career Training & Planning Consultancy Ltd., Waterville, County Kerry 066 9474650, Ireland
2
MaREI, University College Cork, Ringaskiddy, Co.Cork T12 YN60, Ireland
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Author to whom correspondence should be addressed.
Academic Editor: Charitha Pattiaratchi
J. Mar. Sci. Eng. 2016, 4(1), 27; https://doi.org/10.3390/jmse4010027
Received: 6 July 2015 / Revised: 26 February 2016 / Accepted: 2 March 2016 / Published: 17 March 2016
(This article belongs to the Special Issue Sediment Transport Modeling)
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. View Full-Text
Keywords: GSTA; sediment transport; morphodynamic modelling; barrier beach; coastal erosion GSTA; sediment transport; morphodynamic modelling; barrier beach; coastal erosion
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O’Shea, M.; Murphy, J. The Validation of a New GSTA Case in a Dynamic Coastal Environment Using Morphodynamic Modelling and Bathymetric Monitoring. J. Mar. Sci. Eng. 2016, 4, 27.

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