The dynamical responses of a shoreline over long-term (years or decades) is a non-linear and time-dependent random process. It is affected by both longshore and cross-shore sediment transports. The former tends to cause cumulative changes in the mean shoreline position while the latter usually only leads to beach profile fluctuations relative to the moving mean beach profile. Due to the time-dependency of the process the life-cycle approach is ideally suited to formulate the probability distribution of extreme shoreline erosion. A model based on such approach and using standard Monte Carlo simulation techniques has been reported by Dong and Chen (1999). In this paper a simplified procedure is developed by introducing the assumption that the...
In future decades, coasts will be exposed to increasing risks because of climate change and sea leve...
Rapid deterministic modelling of shoreline evolution at regional and coastal-scheme scale enables Mo...
Sandy shorelines are mobile, and traditional methods for forecasting their future position are based...
This paper describes a practical procedure for predicting the probability distributions of long-term...
Shoreline evolution due to longshore sediment transport is one of the most important problems in coa...
The NSW coastline has several identified erosion hot spots (e.g., Old Bar, Wooli) where chronic and ...
Long-term shoreline evolution due to longshore sediment transport is one of the key processes that n...
The recession of coastal cliffs is a widespread phenomenon on the rocky shores that are exposed to t...
The quantity of coastline retreat resulting from storm erosion is one of the most important phenomen...
Low elevation coastal zones around the world are increasingly threatened by the effects of climate c...
In the present paper, after a sensitivity analysis, the calibration and verification of a novel morp...
The risk from erosion and flooding in the coastal zone has the potential to increase in a changing c...
The long series (>30 year) of measurement data of erosion events at Narrabeen beach (NWS, Australia)...
Coastal erosion has gained global attention and has been studied for many decades. As a soft sea def...
AbstractThis paper presents a methodology for modelling medium term (annual to decadal) cross shore ...
In future decades, coasts will be exposed to increasing risks because of climate change and sea leve...
Rapid deterministic modelling of shoreline evolution at regional and coastal-scheme scale enables Mo...
Sandy shorelines are mobile, and traditional methods for forecasting their future position are based...
This paper describes a practical procedure for predicting the probability distributions of long-term...
Shoreline evolution due to longshore sediment transport is one of the most important problems in coa...
The NSW coastline has several identified erosion hot spots (e.g., Old Bar, Wooli) where chronic and ...
Long-term shoreline evolution due to longshore sediment transport is one of the key processes that n...
The recession of coastal cliffs is a widespread phenomenon on the rocky shores that are exposed to t...
The quantity of coastline retreat resulting from storm erosion is one of the most important phenomen...
Low elevation coastal zones around the world are increasingly threatened by the effects of climate c...
In the present paper, after a sensitivity analysis, the calibration and verification of a novel morp...
The risk from erosion and flooding in the coastal zone has the potential to increase in a changing c...
The long series (>30 year) of measurement data of erosion events at Narrabeen beach (NWS, Australia)...
Coastal erosion has gained global attention and has been studied for many decades. As a soft sea def...
AbstractThis paper presents a methodology for modelling medium term (annual to decadal) cross shore ...
In future decades, coasts will be exposed to increasing risks because of climate change and sea leve...
Rapid deterministic modelling of shoreline evolution at regional and coastal-scheme scale enables Mo...
Sandy shorelines are mobile, and traditional methods for forecasting their future position are based...