Author(s): Ye Htet Oo; Hong Zhang; Guilherme Vieira Da Silva

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Keywords: Erosion; Recovery rate; Accretion; XBeach

Abstract: Short-term shoreline recession is often caused by storms wave, which can create significant beach erosion causing adverse effect to the communities and the infrastructure nearshore. Along a coastline, beaches are often the first line to defence nearshore from the adverse effects. Post storm, beach recovers itself; however, such a process is slow. The negative effects can further intensify when storms occur in a group which provide little or no opportunity for beach recovery between successive storms. Thus, the maintenance of beach is crucial for coastal defence and for economy. Due to the slow process of beach recovery, previous studies have often ignored beach recovery (within storm group) when predicting beach erosion. However, the accurate estimation of beach recovery is important since insufficient recovery between storms is a major reason for potentially increased beach vulnerability. In this study, the daily beach accretion (recovery) rate is determined by (i) averaging total beach accreted volume to the total number of days between a pair of measured profile and (ii) to eliminate irregular beach accretion (e.g. accretion due to beach nourishment), the daily wave power is applied as a reference between each pair of beach profile. The medium daily beach accretion rate is then distributed evenly to the post-storm profile (from upper beach to pre-storm offshore bar) after each storm (within a storm group). The results showed that current empirical model can minimize the over-estimation of beach erosion volume, which traditionally has ignored and mimics the natural beach erosion system.

DOI: https://doi.org/10.1007/978-981-97-6009-1_46

Year: 2022