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The use of grain size trend analysis in macrotidal areas with breakwaters: Implications of settling velocity and spatial sampling density
Authors:T.A. Plomaritis   D. Paphitis  M. Collins  
Affiliation:aSchool of Ocean and Earth Science, National Oceanography Centre, Southampton University of Southampton, European Way, Southampton, SO14 3ZH, UK;bMarine Research Division, AZTI-Tecnalia, Herrera Kaia, Portualdea z/g, 20110 Pasaia, Spain
Abstract:In a macrotidal environment with offshore breakwaters (Elmer, West Sussex) a new approach for the identification of the sediment transport pathways with grain size trend analysis (GSTA) was undertaken using statistical parameters (mean, sorting and skewness) directly derived from settling velocities distributions. The same samples were analysed with sieving (quarter- and half-phi resolution) and GSTA was performed again in order to directly compare the resultant sediment transport directions derived with the two analytical techniques. Furthermore, both regular and irregular sampling distributions were used to recalculate GSTA. Hydrodynamic data were collected in different locations around the breakwaters and net sediment transport directions were calculated in order to assess the accuracy of the sediment transport pathway directions derived with the different analytical techniques.The accuracy of settling velocity in determining the statistical parameters of the grain size distribution is identified, especially for the fine-medium sand sediments. Settling velocities produced better results than the sieving; the quarter-phi resolution producing the poorer results in comparison with the coarser half-phi resolution. The results for the different spatial sampling strategies are found to depend upon the number of samples utilised; that shows that the accuracy of the GSTA is based upon the ability of representing, adequately, the spatial distribution of the sediment parameters.
Keywords:sediment transport   settling velocity   grid spacing   grain size trends   breakwaters   Elmer
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