Classification of beach response to extreme storms

Extreme storms are responsible for rapid changes to coastlines worldwide. During the 2013/14 winter, the west coast of Europe experienced a sequence of large, storm-induced wave events, representing the most energetic period of waves in the last 60 years. The southwest coast of England underwent significant geomorphological change during that period, but exhibited a range of spatially variable and complex morphological responses, despite being subjected to the same storm sequence. Here, we use the 2013/14 storm response along the southwest coast of England as a natural field laboratory and explain this variability in storm response through the introduction and evaluation of a new classification of how sandy and gravel beaches respond to extreme storms. Cluster analysis was conducted using an unique data set of pre- and post-storm airborne Light Detection and Ranging (LiDAR) data from 157 beach sites based on the net volumetric change (dQ(net)) and a novel parameter, the longshore variation index (LVI) which quantifies the alongshore morphological variability in beach response. Four main beach response types were identified: (1) fully exposed beaches that experienced large and alongshore uniform sediment losses (dQ(net)approximate to 100 m(3). m(-1)); (2) semi-exposed beaches that experienced medium alongshore uniform sediment losses (dQ(net)approximate to 50m(3). m(-1)); (3) sheltered short beaches that experienced limited net sediment change and alongshore variability in beach response; and (4) sheltered long beaches that experienced considerable alongshore variability in beach response and large gross sediment change, but limited net sediment change. The key factors in determining the type of beach response are: exposure to the storm waves, angle of storm wave approach and the degree to which the beach is embayed. These factors are universally applicable on many exposed coastlines worldwide, so the response classification presented here is expected to be widely applicable. Crown Copyright (C) 2017 Published by Elsevier B.V.