Evaluating XBeach performance for extreme offshore-directed sediment transport events on a dissipative beach. Issue 4 (2nd October 2021)

• Record Type: Journal Article
• Authors: Suzuki, Takayuki; Cox, Daniel T.
• Is Part Of: Coastal engineering journal. Volume 63:Issue 4(2021)
• Page Start: 517
• Page End: 531
• Publication Date: 2021-10-02
• Subjects: Cross-shore sediment transport -- beach profile change -- volume change -- field data; Coastal engineering -- Periodicals; Coasts -- Periodicals; Hydraulic engineering -- Periodicals; Coast changes -- Periodicals; Shore protection -- Periodicals; Coast changes; Coastal engineering; Coasts; Hydraulic engineering; Shore protection; Periodicals; 627.58
• DOI: 10.1080/21664250.2021.1976452
• Languages: English
• ISSNs: 2166-4250

Abstract

ABSTRACT: The performance of the process-based nearshore model XBeach for predicting extreme offshore-directed sediment transport was investigated using field observations at a dissipative beach in Japan. Three extreme erosion events were identified from a record of 6, 209 observations of the cross-shore profile change at Hasaki, Japan, from 1987 to 2003. The analysis considered the sensitivity of the wave nonlinearity of short waves that could be tuned using the parameter, fua, to the observed bed profile change. The comparisons revealed that for extreme offshore-directed sediment transport events, fua = 0.0 is the best fit for predicting these extreme beach profile changes. In the nearshore zone, erosion was underestimated, and the BSS exhibited low values. Peak sediment deposition occurred in the bar-offshore zone with sediments transported from the nearshore zone and was estimated by the model reasonably well. In addition to the three extreme events, 14 other large events were identified, and the trends of beach profile change could be estimated with sufficient tuning of the fua parameter. After analyzing the correlation between fua and wave and morphology-related parameters, the fua value could be correlated to the observed volume change. This suggested that if there were a rough estimate of the expected total volume change, this may help in setting fua value.