comparison between different wave runup level prediction formulas based on the wave breaking type

In this study, the performance of some models for predicting the wave runuplevel is investigated. to do so, they are compared with each other over adatabase of 1390 field and laboratory data points. this comparison has actuallytwo aims: the first one is to investigate the models using all data points and thesecond one is to consider the influence of wave breaking type on the accuracyof the formulas. the latter goal is achieved by dividing the data points based onthe type of wave breaking using the iribarren number. it is also important tomention that most of the models used here for comparison have been optimizedby power et al. in 2019 so that more accurate outcomes would be obtained bythem. these models depend on certain wave and beach parameters, includingwave height, wave length, wave period, and seabed slope. the results of thecomparison have been demonstrated using several statistical characteristics(e.g. rmse, r^2, etc.) so that a good understanding could be obtained from thebehavior of each formula. at first, when the type of wave breaking is notconsidered in the comparison and all data points are used, the optimized formuladerived from both studies of holman and atkins et al. seems to be the mostaccurate one with the least prediction error. then, when the data points aredivided into groups based on the wave breaking type (i.e. spilling and plunging),different outcomes are achieved. the optimized formula proposed by poate etal. has almost the best performance in the case of spilling type and the formulaof power et al. is the most accurate one when considering the plunging type,showing that the type of wave breaking plays an important role in the accuracyof wave runup level prediction formulas.