ICAME 2021, Balıkesir, Turkey, 1 - 03 September 2021, no.10, pp.1-6
The analysis of wave overtopping and overwash is fundamental to prevent damage to coastal structures and zones. There are many studies in the literature on this subject that shed light on today's research [1-12]. Wave overwash modeling methods are principally based on the prediction and generation of overtopping parameters as the essential inputs [1-12]. Currently, available methods are inefficient for the evaluation of big field data. Recording and analyzing these data with efficient sensing are fundamentally significant for the observation, appraisal, and prevention of catastrophic results of coastal hazards. For this purpose, new algorithms should be developed, implemented, and tested. Compressive sensing technique (CS) is one of the most efficient algorithms that can beat old-style sensing approaches by utilizing far fewer samples while accomplishing accurate recovery [13-14]. In this paper, we investigate the possible usage of the CS for the viable estimation and analysis of wave runup, overtopping, and overwash for coastal areas. Using the time-series data sets of wave overtopping and overwash constructed by empirical formulas proposed in , we show that CS may be utilized as a powerful instrument for the estimation, investigation, and analysis of wave overtopping and overwash in coastal areas and structural health monitoring. We discuss our results and remark on their importance and possible usage areas. The results of this study will be useful for the coastal engineering community in implementing wave runup, overtopping, and overwash reduction strategies to mitigate coastal hazards and the associated human and economic losses.