The validation of a new GSTA case in a dynamic coastal environment using morphodynamic modelling and bathymetric monitoring
Loading...
Files
Published version
Date
2016-03-17
Authors
O'Shea, Michael
Murphy, Jimmy
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI AG
Published Version
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.
Description
Keywords
GSTA , Sediment transport , Morphodynamic modelling , Barrier beach , Coastal erosion
Citation
O’Shea, M. and Murphy, J., 2016. The Validation of a New GSTA Case in a Dynamic Coastal Environment Using Morphodynamic Modelling and Bathymetric Monitoring. Journal of Marine Science and Engineering, 4(1), (27). DOI:10.3390/jmse4010027