Erosion Control Line (ECL) Establishment Using Coastal Erosion Width Prediction Model by High Wave Height

Park, Seung Min; Park, Seol-Hwa; Lee, Jung-Lyul; Kim, Tae-Kon

doi:10.26748/ksoe.2019.110

Cited by 14 publications

(3 citation statements)

References 5 publications

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“…After that, Dean (1977) applied constant wave energy dissipation in a unit volume, and theoretically derived the relational expression presented by Bruun (1954). In various fields such as beach nourishment (Dean, 1991), beach management (Park et al, 2019), and sea-level rise (Bruun, 1962;Dubois, 1990), it has become a means to obtain various engineering solutions to predict and solve catastrophic problems caused by coastal erosion. Recently, Kim et al (2021) expressed the vulnerability of ultimate erosion in terms of sand grain size by applying the equilibrium beach profile equation of Dean (1977).…”

Section: Introductionmentioning

confidence: 99%

A Study on the Influence of Sand Median Grain Size on the Short-Term Recovery Process of Shorelines

Lim

Kim

Kim³

et al. 2022

Front. Mar. Sci.

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Recently, the impacts of short-term erosion caused by storm waves on coastal damages are increasingly recognized as social issues, compared to those of long-term erosion from climate change or coastal development. The erosion caused by the storm wave has an episodic characteristic that the shoreline recovers gradually after retreating for a short-term. Furthermore, if shoreline changes caused by longshore sediment transport are not taken into consideration, the shoreline position is determined by following two physical parameters based on the bulk response model. The beach response factor determines converging ultimate erosion on the assumption that incident waves constantly affects a beach, which can be estimated according to the concept of Dean’s profile. On the contrary, the beach recovery factor affects the velocity of the shoreline retreat and recovery. Therefore, the parameter plays an important role to predict the peak erosion due to the storms. However, there are still insufficient researches to utilize it as an engineering design for erosion reduction. In this study, the two methodologies (i.e., approximation formula and statistical analysis) that estimates peak erosion width caused by the storms are compared to extract the beach recovery factor. During the process, it is confirmed that peak wave height has little impact on the beach recovery factor. Instead, it is mainly determined by the median grain size. Also, the beach recovery factor is estimated as a function of median grain size based on the shoreline and sand survey data conducted over ten years. Among the 41 surveyed sites along the east coast, 11 sites of straight-type shorelines that directly react to the incident waves were applied to consider only the short-term recovery process. To prove validity, the estimated applied into the real sea and then the results were compared to the shoreline data extracted from CCTV images. Using these results, the peak erosion width for a target wave event can be predicted with only median grain size. These study results are expected to be used as a concrete and practical means to manage the coast, in preparation for the current and future shoreline erosion threats.

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Section: Introductionmentioning

confidence: 99%

A Study on the Influence of Sand Median Grain Size on the Short-Term Recovery Process of Shorelines

Lim

Kim

Kim³

et al. 2022

Front. Mar. Sci.

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“…The process of sediment flow from a river to a sea area has been researched (Milliman and Meade, 1983) [11], and an analysis of the littoral sediment budget according to wave changes was conducted using the Delft3D model (Kim et al 2019) [12] and a sensitivity analysis of the parameters related to sediment transport (Yang and Son, 2019) [13]. Furthermore, research was conducted for predicting shoreline changes due to sediment transport, including an experimental study on shoreline changes in a beach process (Son and Lee, 2000) [14]; prediction of shoreline transformation through a numerical model (Park et al, 1993) [15]; erosion-control-line setting through HaeSaBeenN, a prediction model for shoreline changes due to high waves (Park et al 2019) [16]; and prediction of shoreline change according to a sea-level-rise scenario due to climate change (Vitousek et al, 2017) [17]. Meanwhile, in the swash zone of the waves in the breaking-wave zone and outside the breaking-wave zone, sediments are transported as a bed load by the fluid motion due to waves.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Shoreline Change for the Calculation of the Integrated Littoral Sediment Budget

Kim

Yoon

2022

Water

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The severe coastal erosions are being accelerated along the east coast of South Korea owing to the intermittent erosions and depositions caused by the imbalance between the effective sediment volume supplied from coasts and rivers and the sediment transport rate. Consequently, many studies are being conducted to develop coastal-erosion reduction measures. To accurately determine the cause of coastal erosion, the causes of the erosion and deposition should be accurately diagnosed, and a comprehensive evaluation system for the sediment transport mechanism in the watershed and sea while considering regional characteristics is required. In particular, realizing the evaluation of the effective sediment volume that flows from the river to the sea through observations is a highly challenging task, and various research and developments are required to realize it, as it is still in the basic research stage. The purpose of this study was to systematically analyze the comprehensive sediment budget for coastal areas. First, an analytical system was developed. Then, a shoreline model was constructed by considering the size of the mixed particles. The parameters required for developing the model were determined using the observation data to improve the shoreline model. A sediment runoff model was applied to evaluate the effective sediment volume supplied from the river to the sea, and the applicability of this model was evaluated by comparing it with the sediment supply volume according to the soil and water assessment tool model. The representative wave and the input parameters of the model were set using the observation data of several years. It was found that the prediction performance of the shoreline change model improved when the effective sediment volume was considered, and the particles of the sediment on the shore were assumed to comprise multiple sizes. In particular, the prediction performance improved when the balance of the sediment budget was adjusted by applying a groin having a structurally similar performance to take into consideration the geographic features of the Deokbongsan (island) in front of the river mouth bar. The model demonstrated a good performance in reproducing long-term shoreline changes when the characteristics of the sea waves and the effective sediment volume were considered.

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“…However, their research was limited because the location of the shoreline that ultimately converges when a specific wave energy value was continuously applied. Recently, Park et al (2019) suggested a methodology for analyzing beach vulnerability by analyzing shoreline data variability observed on the east coast of Korea and the extreme behavior of incident waves. However, the methodology has not been verified because of a lack of long-term wave and shoreline survey data for comparison.…”

Section: Introductionmentioning

confidence: 99%

Vulnerability Analysis of Episodic Beach Erosion by Applying Storm Wave Scenarios to a Shoreline Response Model

2021

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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.

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Erosion Control Line (ECL) Establishment Using Coastal Erosion Width Prediction Model by High Wave Height

Cited by 14 publications

References 5 publications

A Study on the Influence of Sand Median Grain Size on the Short-Term Recovery Process of Shorelines

A Study on the Influence of Sand Median Grain Size on the Short-Term Recovery Process of Shorelines

Prediction of Shoreline Change for the Calculation of the Integrated Littoral Sediment Budget

Vulnerability Analysis of Episodic Beach Erosion by Applying Storm Wave Scenarios to a Shoreline Response Model

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