Abstract

Recently, because of the influence of climate change on sea level change, there has been growing concern regarding the erosion of beaches, which play a role in reducing the damage caused by coastal disasters. However, despite these concerns, a comprehensive understanding of the morphodynamic relationship between hazard factors and beach erosion is still lacking. Therefore, in this study, a vulnerability analysis of beach erosion was conducted by applying the shoreline response model (SLRM) of bulk model type, which identifies the physical characteristics of relevant coefficients based on the suspended sediment movement processes. To characterize wave energy incidence, storm wave scenario modeling and extreme wave analysis were conducted using wave data of 40 years on the east coast of Korea provided by the National Oceanic and Atmospheric Administration. A dimensionless mathematical function representing the storm wave scenario was proposed as a function of the peak wave height. In addition, to examine whether the beach vulnerability curve (BVC) obtained from the SLRM is valid, it was compared with the long-term shoreline observation data conducted at Maengbang Beach. For the past 9 years, sand sampling and shoreline observations were performed at Maengbang Beach about 5 times a year. However, since observations were performed in time intervals of several months, the direct comparison with model results was impossible, so a comparative analysis through statistical analysis of shoreline variability was performed. The variability of the shoreline for each reference point followed a normal distribution with a standard deviation of approximately 7.1 m. As a result of comparing the BVC results obtained from these statistical characteristics with those obtained from the model, significant similarity was shown in the high wave condition. Finally, the model was performed on two factors (mean wave height and peak wave height) which appear in SWSF and three factors (wave energy at breaking point, beach response factor and beach recovery factor) which appear in SLRM, and by analyzing the results, an approximate formula for the BVC is derived. This novel BVC approximation equation provides an intuitive understanding of the factors that affect beach vulnerability as well as their importance, and estimates the beach buffer section required to prevent coastal facilities from being damaged by erosion during a specific period. The results of this study can help limit reckless coastal development and mitigate erosion damage.

Highlights

  • Numerous research efforts have been made, including establishing concepts and developing models, to evaluate the vulnerability of the coastal environment in relation to coastal disasters and climate change (IPCC, 1996, 2001; UKCIP, 2003; UNDP, 2005; UNFCCC, 2005; Han, 2006; Yook et al, 2011)

  • The results show that the curves have a good fit with the extreme wave scenario of the National Oceanic and Atmospheric Administration (NOAA) data

  • The storm wave scenario function (SWSF) and shoreline response model (SLRM) were applied to determine the beach vulnerability curve (BVC) using only cross-shore beach sedimentation based on the values of the beach response factor ar and beach recovery factor kr

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Summary

Introduction

Numerous research efforts have been made, including establishing concepts and developing models, to evaluate the vulnerability of the coastal environment in relation to coastal disasters and climate change (IPCC, 1996, 2001; UKCIP, 2003; UNDP, 2005; UNFCCC, 2005; Han, 2006; Yook et al, 2011). The erosion vulnerability of coastal areas, which are prone to coastal disasters because of the effects of climate change, such as sea level changes, is emerging as a research topic of interest Despite these efforts, a comprehensive understanding of the hazard factors related to beach erosion and the morphodynamic processes of shoreline retreat is lacking for evaluating beach vulnerability. Yates et al (2009) estimated the convergence position of the shoreline by examining changes in the beach profile as a response to changes in the incoming wave energy via long-term field measurements In this scenario, if the external hazard is regarded as incoming wave energy and the impact factor is shoreline retreat, the beach vulnerability can be studied. The methodology has not been verified because of a lack of long-term wave and shoreline survey data for comparison

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