Understanding coastal change using shoreline trend analysis supported by cluster-based segmentation

Abstract

Article history: Received 7 October 2016 Received in revised form 2 December 2016 Accepted 28 December 2016 Available online 12 January 2017 Shoreline change analysis is a well defined andwidely adopted approach for the examination of trends in coastal position over different timescales. Conventional shoreline changemetrics are best suited to resolving progressive quasi-linear trends. However, coastal change is often highly non-linear and may exhibit complex behaviour including trend-reversals. This paper advocates a secondary level of investigation based on a cluster analysis to resolve a more complete range of coastal behaviours. Cluster-based segmentation of shoreline behaviour is demonstrated with reference to a regional-scale case study of the Suffolk coast, eastern UK. An exceptionally comprehensive suite of shoreline datasets covering the period 1881 to 2015 is used to examine both centennialand intra-decadal scale change in shoreline position. Analysis of shoreline position changes at a 100malongshore interval along 74 km of coastline reveals a number of distinct behaviours. The suite of behaviours varies with the timescale of analysis. There is little evidence of regionally coherent shoreline change. Rather, the analyses reveal a complex interaction betweenmet-ocean forcing, inherited geological and geomorphological controls, and evolving anthropogenic intervention that drives changing foci of erosion and deposition. © 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).

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Cite this paper

@inproceedings{Burningham2017UnderstandingCC, title={Understanding coastal change using shoreline trend analysis supported by cluster-based segmentation}, author={Helene Burningham and Jon French}, year={2017} }