Medium-term variations of bar properties and their linkages with environmental factors at Hasaki, Japan

Kuriyama, Yoshiaki; Ito, Yoshimasa; Yanagishima, Shin-ichi

doi:10.1016/j.margeo.2007.10.006

Cited by 36 publications

(31 citation statements)

References 21 publications

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“…HORS has a 427-m-long pier and the cross-shore distance along the pier is defined relative to the reference point of HORS, and the seaward direction is set as being positive. By using the data of HORS, various researches are conducted until now, such as sand movement and topography change [e.g., Katoh and Yanagishima, 1993;Kuriyama et al, 2008a], wave deformation and wave current [e.g., Nakamura and Katoh, 1992;Kuriyama et al, 2008b]. In the investigated field site, the Port of Kashima was constructed 4.25 km northward from HORS in 1969.…”

Section: Hasaki Coastmentioning

confidence: 99%

The Effects of Offshore Wave Energy Flux and Longshore Current Velocity on Medium-Term Shoreline Change at Hasaki, Japan

Suzuki

Kuriyama

2014

Coastal Engineering Journal

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The relationships between medium-term shoreline fluctuations, offshore wave energy flux and longshore current velocity were investigated on the basis of data sets from 1987 to 2001 (15 years). In this analysis, the spectral density of the data was calculated, and the frequency components from the investigated period (15 years) to 1000 days were recomposed and defined as the medium-term fluctuation. A multiple linear regression analysis was performed to evaluate the associations between the medium-term fluctuations of shoreline change rate and that of the major dependent variables, which are the offshore wave energy flux and the longshore current velocity. The results suggested that a medium-term fluctuation of the shoreline change rate at the field was affected by both the medium-term fluctuations of the offshore wave energy flux and the longshore current velocity at approximately the same rate. The fluctuation range of the medium-term shoreline fluctuation was nearly the same range of the seasonal shoreline fluctuation, i.e. approximately 20 m. This indicates that for beach management, not only seasonal shoreline fluctuation but also medium-term shoreline fluctuation is needed to be considered.

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Section: Hasaki Coastmentioning

confidence: 99%

The Effects of Offshore Wave Energy Flux and Longshore Current Velocity on Medium-Term Shoreline Change at Hasaki, Japan

Suzuki

Kuriyama

2014

Coastal Engineering Journal

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“…In cases where an onshore bar migration was observed, the typical duration of these cycles can span from 1 (Hasaki in Japan, see Kuriyama et al, 2008) to 20 years (Dutch coast, see Ruessink and Kroon, 1994;Wijnberg and Terwindt, 1995). Unfortunately even if the Argus station at the site has been operative up to the present time, the undertaking of the replenishment in 2007 has introduced a perturbation in the system and any natural cycle that may be observed afterwards will have to be discussed in relation to this.…”

Section: Changes In the Position Of The Bar Crestmentioning

confidence: 99%

Dynamics of a nearshore bar system in the northern Adriatic: A video-based morphological classification

Armaroli

Ciavola

2011

Geomorphology

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“…3c this happens almost every year near the end of the typhoon season, after which a new sandbar is formed close to the shore. This 1-year period cyclic behavior changes after 1993, probably due to changing wave conditions (Kuriyama and Yanagishima, 2006). At the Gold Coast the outer sandbar also decays after one or more major storms (e.g.…”

Section: Sandbar Datamentioning

confidence: 99%

“…3a-c indicate bad-quality data that were left out of the analysis. Extensive reviews of the HORS dataset are given in Kuriyama (2002) and in Kuriyama and Yanagishima (2006).…”

Section: Sandbar Datamentioning

confidence: 99%

Multivariate analysis of nonlinearity in sandbar behavior

Pape

Ruessink

2008

Nonlin. Processes Geophys.

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Abstract. Alongshore sandbars are often present in the nearshore zones of storm-dominated micro-to mesotidal coasts. Sandbar migration is the result of a large number of small-scale physical processes that are generated by the incoming waves and the interaction between the wavegenerated processes and the morphology. The presence of nonlinearity in a sandbar system is an important factor determining its predictability. However, not all nonlinearities in the underlying system are equally expressed in the time-series of sandbar observations. Detecting the presence of nonlinearity in sandbar data is complicated by the dependence of sandbar migration on the external wave forcings. Here, a method for detecting nonlinearity in multivariate time-series data is introduced that can reveal the nonlinear nature of the dependencies between system state and forcing variables. First, this method is applied to four synthetic datasets to demonstrate its ability to qualify nonlinearity for all possible combinations of linear and nonlinear relations between two variables. Next, the method is applied to three sandbar datasets consisting of daily-observed crossshore sandbar positions and hydrodynamic forcings, spanning between 5 and 9 years. Our analysis reveals the presence of nonlinearity in the time-series of sandbar and wave data, and the relative importance of nonlinearity for each variable. The relation between the results of each sandbar case and patterns in bar behavior are discussed, together with the effects of noise. The small effect of nonlinearity implies that longterm prediction of sandbar positions based on wave forcings might not require sophisticated nonlinear models.

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Medium-term variations of bar properties and their linkages with environmental factors at Hasaki, Japan

Cited by 36 publications

References 21 publications

The Effects of Offshore Wave Energy Flux and Longshore Current Velocity on Medium-Term Shoreline Change at Hasaki, Japan

The Effects of Offshore Wave Energy Flux and Longshore Current Velocity on Medium-Term Shoreline Change at Hasaki, Japan

Dynamics of a nearshore bar system in the northern Adriatic: A video-based morphological classification

Multivariate analysis of nonlinearity in sandbar behavior

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