No abstract

A key factor limiting our understanding of rock slope behavior and associated geohazards is the interaction between internal and external system controls on the nature, rates, and timing of rockfall activity. We use high-resolution, monthly terrestrial light detection and ranging (LiDAR) surveys over a 2 year monitoring period to quantify rockfall patterns across a 0.6 km-long (15.3 × 103 m2) section of a limestone rock cliff on the northeast coast of England, where uncertainty in rates of change threaten the effective planning and operational management of a key coastal cliff top road. Internal system controls, such as cliff material characteristics and foreshore geometry, dictate rockfall characteristics and background patterns of activity and demonstrate that layer-specific analyses of rockfall inventories and sequencing patterns are essential to better understand the timing and nature of rockfall risks. The influence of external environmental controls, notably storm activity, is also evaluated, and increased storminess corresponds to detectable rises in both total and mean rockfall volume and the volumetric contribution of large (>10 m3) rockfalls at the cliff top during these periods. Transient convergence of the cumulative magnitude–frequency power law scaling exponent (ɑ) during high magnitude events signals a uniform erosion response across the wider cliff system that applies to all lithologies. The tracking of rockfall distribution metrics from repeat terrestrial LiDAR in this way demonstrably improves the ability to identify, monitor, and forecast short-term variations in rockfall hazards, and, as such, provides a powerful new approach for mitigating the threats and impacts of coastal erosion.

The A183 is an essential transportation link in the northeast UK that joins coastal areas from South Shields to Sunderland. The route runs through the hinterland of Marsden Bay and concerns have been raised about the proximity of the road to the eroding cliff line. The Shoreline Management Plan (Lane and Guthrie, 2007) sets out the overarching management policy in the area and, based on the analyses of historic map data, uses projected coastal cliff retreat rates of 0.1-0.2 m a-1 , although more recent investigations have suggested the rates may be nearer 0.04-0.1 m a-1. Quantitative data on the true rates and nature of cliff erosion are scarce and asset management decisions typically use the higher rate of 0.2 m a-1 when considering the potential impact on road operations and lifespan in order to account for uncertainty and future sea-level rise; which is additionally used to accelerate the predicted rates of retreat. Consequently, an enhanced high order estimate of cliff erosion rates has restricted the serviceability of the A183 to within 20-50 years, and there are three areas (pinch points) of particular concern where the close proximity of the cliff line threatens the safe operation of the road. This approach and the data it uses suggest that significant and potentially costly decisions may soon be required to ensure the viability of this vital transport corridor.