ORCID

Abstract

Predicting change to shorelines globally presents an increasing challenge as sea level rise (SLR) accelerates. Many shoreline prediction models use the simplistic ‘Bruun rule’ for dealing with SLR profile translation, in-part due to alternative approaches being too complex and time-consuming to implement. To address this, we introduce ShoreTrans: a simple, rules-based, user-input driven, shoreface translation and sediment budgeting model, that applies the surveyed 2D-profile (not a parameterization), for estimating change to realistic coastlines, resulting from SLR and variations in sediment supply, while accounting for armouring, hard-rock cliffs and outcropping rocks. The tool can be applied to sand, gravel, rock and engineered coasts at a temporal scale of 10–100 years, accounting for shoreline trends as well as variability. The method accounts for: (1) dune encroachment/accretion; (2) barrier rollback; (3) non-erodible layers; (4) seawalls; (5) lower shoreface transport; (6) alongshore rotation; and (7) other sources and sinks. Uncertainty is accounted for using a probabilistic distribution for inputs and Monte Carlo simulations. We provide a first-pass assessment of two macrotidal UK embayments: Perranporth (sandy, dissipative, cross-shore dominant transport) and Start Bay (gravel, reflective, bi-directional alongshore dominant), then use idealised profiles to investigate the relative importance of forcing controls on shoreline recession and beach width. For the dissipative sandy site, the primary modes of coastal change are predicted to be short-term storm erosion and SLR translation while long-term trends may be important but are highly uncertain. For the reflective gravel site, the primary mode is multi-decadal longshore sediment flux, while short-term alongshore rotation and SLR translation are secondary. Relative to the ShoreTrans approach, the Bruun rule under-predicts shoreline recession in front of cliffs, seawalls and for low barriers that rollback, and over-predicts where large erodible dunes are present. ShoreTrans directly addresses change in beach width, with beaches in front of seawalls and cliffs predicted to shrink, such that narrow beaches (<50 m width) may disappear under 1-m SLR. As a standalone tool, ShoreTrans is transferable to many coast types and will provide coastal practitioners with a simple first-pass estimate of how the 2D appearance of a complex profile may change under SLR. A future benefit will be to combine this approach with existing hybrid modelling techniques to augment SLR translation predictions.

Publication Date

2021-01-01

Publication Title

Marine Geology

Volume

435

ISSN

0025-3227

Acceptance Date

2021-03-10

Deposit Date

2021-09-17

Embargo Period

2021-09-18

Funding

This work was funded by a NERC Special Highlights Grant (NE/M004996/1; BLUE-coast project) and an EPSRC Overseas Travel Grant (EP/T004304/1; Coastal Modelling of Extreme Storms and Sea level Rise). Many thanks to Plymouth Coastal Observatory and the BlueCoast team for data collection. A sincere thank you to Sean Vitousek and an anonymous reviewer, who provided thorough and knowledgeable critiques, substantially reshaping and improving the manuscript. Data and Matlab code written for personal use are available on the University of Plymouth PEARL data repository. A public version of the ShoreTrans code is available at https://github.com/jakmccarroll/ShoreTrans

Keywords

Sea level rise, Multi-decadal coastal evolution, Shoreline modelling, Bruun rule

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