The University of Southampton
University of Southampton Institutional Repository

Analysis of grain size trends, for defining sediment transport pathways in marine environments

Record type: Article

An approach to grain size trend analysis is developed on the basis of a semi-quantitative filtering technique.
Using this technique, grain size trends identified from a grid of surficial sediment samples are transformed
into a "residual pattern" representing net sediment transport paths. The method assumes that the grain
size trends used for the analysis have a higher frequency of occurrence in sediment transport directions
than in the opposite directions, but such dominance does not exist if there is no exchange of material
between the sampling sites. The proposed method is applied to the analysis of grain size trends over the
Christchurch Bay area, southern England.

Mean grain size, sorting and skewness are used to form eight possible grain size trends; two of these
are used to derive a residual pattern. The pattern obtained shows general agreement with transport
patterns derived from other sediment dynamics investigations undertaken for the region. Further, a
residual pattern similar to that of transport paths on the basis of estimates of longshore transport rates,
for the Rh6ne Delta, is derived. The present investigation indicates that the feasibility of grain size trend
analysis depends upon the selection of appropriate grain size trends and the analytical approach.

PDF GSTA-JCR1994.pdf - Version of Record
Restricted to Repository staff only
Download (270kB)

Citation

Gao, S. and Collins, M.B. (1994) Analysis of grain size trends, for defining sediment transport pathways in marine environments Journal of Coastal Research, 10, (1), pp. 70-78.

More information

Published date: 1994
Keywords: grain size trends, sediment transport, christchurch bay, rhone delta

Identifiers

Local EPrints ID: 72279
URI: http://eprints.soton.ac.uk/id/eprint/72279
ISSN: 0749-0208
PURE UUID: 302730d3-9471-4049-a4ce-7b925de4902a

Catalogue record

Date deposited: 04 Feb 2010
Last modified: 18 Jul 2017 23:55

Export record

Contributors

Author: S. Gao
Author: M.B. Collins

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×