• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.06a
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• pp.23-25
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• 2014

급변하는 디지털 문명사회에서 해양에 대한 능동적 수용과 활용을 위한 해양 리터러시의 필요성을 제시하고 해양 리터러시의 개념화를 시도하였다. 본 연구는 해양교육을 위한 이론적 토대로서의 해양리터러시를 통해 해양교육 콘텐츠를 능동적으로 수용하면서 해양교육 콘텐츠의 메시지를 해석하고 활용하는데 필요한 능력과 관점이라고 정의하고 해양리터러시에 포함된 다양한 기술과 능력을 크게 기초 리터러시, 고급 리터러시, 그리고 해양에 대한 처리소재 등으로 구분하여 제시하였다. 해양 리터러시 개념화는 해양교육의 새로운 방향에 대한 논의와 체계적이고 실증적인 후속연구를 위한 토대를 제시할 수 있을 것이다.

• The Journal of the Acoustical Society of Korea
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• v.28 no.8
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• pp.740-754
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• 2009

Sound in the ocean is scattered by inhomogeneities of many different kinds, such as the sea surface, the sea bottom, or the randomly distributed bubble layer and school of fish. The total sum of the scattered signals from these scatterers is called reverberation. In order to simulate the reverberation signal precisely, combination of a propagation model with proper scattering models, corresponding to each scattering mechanism, is required. In this article, we develop a reverberation model based on the ray theory easily combined with the existing scattering models. Developed reverberation model uses (1) Chapman-Harris empirical formula and APL-UW model/SSA model for the sea surface scattering. For the sea bottom scattering, it uses (2) Lambert's law and APL-UW model/SSA model. To verify our developed reverberation model, we compare our results with those in Ellis' article and 2006 reverberation workshop. This verified reverberation model SNURM is used to simulate reverberation signal for the neighboring seas of South Korea at mid frequency and the results from model are compared with experimental data in time domain. Through comparison between experiment data and model results, the features of reverberation signal dependent on environment of each sea is investigated and this analysis leads us to select an appropriate scattering function for each area of interest.

• Journal of the Korean Society for Marine Environment & Energy
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• v.18 no.3
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• pp.233-244
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• 2015

Marine ecosystem modelling has become a more widely used decision-making tool in coastal ecosystem-based management. However, it is not trivial to develop a well calibrated/validated model with potential applicability and practicality because understanding ecological processes with complexities is a pre-requisite for developing robust ecosystem models and this accompanies a great deal of well coordinated efforts among field-going ecologists, laboratory scientists, modelers, stake-holders and managers. This report aims to provide a brief introduction on two different approaches in marine ecological models: deterministic (mechanistic) and stochastic (statistical) approach. We also included definitions, historical overview of past researches, case studies, and contextual suggestions for coastal management in Korea. A long list of references this report included in this study might be used as an introductory material for those who wish to enter ecosystem modelling field.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.42-50
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• 2003

The marine accident investigation of Korea Marine Safety Tribunal does not keep up with the international rule and guideline. Also there is no proper investigation manual. This study analyzed the investigation system and manual of Korea. USA and Japan etc., and proposed the newly investigation system and manual of KMST including the classfication guideline of marine accident investigation and analysis.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.15 no.1
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• pp.59-65
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• 2003

The changes of beach profile with a natural longshore bar and beach profile with a fixed artificial bar are studied, respectively, using a numerical model. The quasi three dimensional wave-current-sediment transport model is applied with an addition of boundary condition for sediment transport on the artificial structure under water. The study shows that the natural bar adapts itself to the change of coastal physical environment by adjusting its location but the fixed artificial bar causes the formation of a second natural bar seaward of the fixed bar and scouring at the rear of the fixed bar. This study can be applied to work on the change of beach profile with submerged breakwaters.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.27 no.2
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• pp.49-70
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• 2022

Sea Surface Temperature (SST), one of the ocean features, has a significant impact on climate, marine ecosystem and human activities. Therefore, SST prediction has been always an important issue. Recently, deep learning has drawn much attentions, since it can predict SST by training past SST patterns. Compared to the numerical simulations, deep learning model is highly efficient, since it can estimate nonlinear relationships between input data. With the recent development of Graphics Processing Unit (GPU) in computer, large amounts of data can be calculated repeatedly and rapidly. In this study, Short-term SST will be predicted through Convolutional Neural Network (CNN)-based U-Net that can handle spatiotemporal data concurrently and overcome the drawbacks of previously existing deep learning-based models. The SST prediction performance depends on the seasonal and interannual SST variabilities around the southern coast of Korea. The predicted SST has a wide range of variance during spring and summer, while it has small range of variance during fall and winter. A wide range of variance also has a significant correlation with the change of the Pacific Decadal Oscillation (PDO) index. These results are found to be affected by the intensity of the seasonal and PDO-related interannual SST fronts and their intensity variations along the southern Korean seas. This study implies that the SST prediction performance using the developed deep learning model can be significantly varied by seasonal and interannual variabilities in SST.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.37 no.3
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• pp.163-171
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• 2024

Structural health monitoring for ships and offshore structures is important in various aspects. Ships and offshore structures are continuously exposed to various environmental conditions, such as waves, wind, and currents. In the event of an accident, immense economic losses, environmental pollution, and safety problems can occur, so it is necessary to detect structural damage or defects early. In this study, structural response data of multi-linked floating offshore structures under various wave load conditions was calculated by performing fluid-structure coupled analysis. Furthermore, the order reduction method with distortion base mode was applied to the structures for predicting the structural response by using the results of numerical analysis. The distortion base mode order reduction method can predict the structural response of a desired area with high accuracy, but prediction performance is affected by sensor arrangement. Optimization based on a genetic algorithm was performed to search for optimal sensor arrangement and improve the prediction performance of the distortion base mode-based reduced-order model. Consequently, a sensor arrangement that predicted the structural response with an error of about 84.0% less than the initial sensor arrangement was derived based on the root mean squared error, which is a prediction performance evaluation index. The computational cost was reduced by about 8 times compared to evaluating the prediction performance of reduced-order models for a total of 43,758 sensor arrangement combinations. and the expected performance was overturned to approximately 84.0% based on sensor placement, including the largest square root error.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.12 no.3
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• pp.109-115
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• 2000

Numerical model is proposed to estimate dynamic responses of riser with vortex excitation by inline current. Galerkin's finite decomposition method is implemented for the development of a numerical model and vortex excitation is modeled by coupled wake oscillator proposed by Blevins. The numerical results are inspected through the physical interpretation to give the verification and usefulness of the suggested numerical model.

• Proceedings of KOSOMES biannual meeting
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• 2003.11a
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• pp.187-190
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• 2003

한반도 서남부해역은 하계 양자강의 방류에 의해 저염분 현상이 발생한다. 양자강 방류량은 해마다 일정하지 않으며, 과거 시계열자료에 의하면 최대값이 최소값보다 2배 이상이 됨을 알 수 있다. 다라서 양자강의 방류량을 달리하여 저염분포를 수치모델로 연구하고자 하였다. 수치모델은 POM(Princeton Ocean Model)을 사용하였다. POM은 연직적으로 $\sigma$-좌표계를 사용하는 3차원 순환모델이다. 모델 수행 후 연구해역내 대륙사면부에서 유속이 강하게 나타남을 알 수 있다. 또한 제주도 서쪽을 통해 북상하여 황해중앙부로 들어가는 흐름이 있으며, 대륙연안을 따라 남하하는 흐름이 있음을 알 수 있다 양자강 방류량을 부여한 수행한 모델의 결과를 보면 양자강 방류량이 많을수록 저염분역이 제주도에 가깝게 나타남을 랄 수 있다.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.1 no.1
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• pp.15-21
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• 1989

A simple numerical refraction model is presented. The model takes into account refraction, shoaling and bottom dissipation. Eikonal equation and equation of energy conservation are discretized by an explicit finite-difference method, which provides wave angle and height at each grid point, respectively. Applications of the model were made to simple geometries as well as complex geometries, and some advantages on computing time and stability have been observed.