OPTIMIZATION FOR MORPHOLOGICAL CHANGE PREDICTION BY XBEACH MODEL AT HAMAMATSU SHINOHARA COAST, JAPAN

Abstract

 The risk of beach loss due to environmental changes caused by climate change has become important to discuss. It is important to project future changes in morphological change using a numerical model integrating over a long period in order to consider the coastal protection measures in Japan. XBeach is widely used for modeling such numerical simulation, but there are few practical applications in Japan. This study performed a series of ensemble calculations with model coefficients of XBeach changed independently at the Hamamatsu Shinohara coast, and determined the five model coefficients that significantly affected the results of morphological changes there. Then, the study optimized the major model coefficients through sensitivity analysis based on multiple regression analysis. Based on the results, it was confirmed that the optimized result of XBeach is consistent with the field measurement. It was also found that the coefficient of non-linear wave effect: Sk critically impacted on foreshore erosion by changed return flow to offshore.