Helene Burningham

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Coastal areas in England and Wales are at greater risk of flooding and erosion than their landward equivalents. To address these hazards, over the last 20 years, a process to develop long-term Shoreline Management Plans (SMPs) has been developed (Leafe et al., 1998; Cooper et al., 2002; DEFRA, 2006). The spatial boundary of SMPs is defined by coastal cell(More)
This article analyses the morphological history of the outer Thames seabed, covering over 3,000 km2 from Aldeburgh (Suffolk), to Southend-on-Sea (Essex) and Margate (Kent). The region has been depicted on bathymetric charts since the sixteenth century, and has been formally charted since the eighteenth century. Charts published since the early 1800s(More)
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(More)
Article history: Received 30 March 2016 Received in revised form 21 October 2016 Accepted 28 October 2016 Available online 29 October 2016 Understanding medium to long term morphodynamic change is important for sustainable coastal and estuary management. This paper analysesmorphodynamic change of a complex estuary inlet which is subjected to multiple(More)
Coastal and shoreline management increasingly needs to consider morphological change occurring at decadal to centennial timescales, especially that related to climate change and AC C EP TE D M AN U SC R IP T ACCEPTED MANUSCRIPT 2 sea-level rise. This requires the development of morphological models operating at a mesoscale, defined by time and length scales(More)
Whilst understanding and predicting the effects of coastal change are primarily modelling problems, it is essential that we have appropriate conceptual frameworks for (1) the formalisation of existing knowledge; (2) the formulation of relevant scientific questions and management issues; (3) the implementation and deployment of predictive models; and (4)(More)
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