A Model for Predicting Shoreline Change by Applying Linear Response Function

Abstract

When predicting shoreline changes, process-based modeling, which is usually based on the sediment transport process and external forces, is usually applied. Nevertheless, some models which based on the effect of wave and deposit conditions to shoreline changes are also proposed. One of the advantages of these models is short computing time due to not consider sediment transport process. However, lots of empirical coefficients are the problems of these models. In this study, by applying the convolution integral, a model for predicting the response of shoreline has been developed and based on long term survey data, the constant calibration as well as verification of this model has been examined.