• Journal of Advanced Marine Engineering and Technology
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• v.33 no.1
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• pp.166-174
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• 2009

Gijang Sea is located on the southeastern coast of Korea. This study establishes a basic system to identify optimal sites for the wave power generation. To achieve this goal, the field measurements were made at the field site in front of Dong-am fishing port at Gijang. In addition, we analyzed the offshore wave data at the Donghae buoy operated by Korea Meteorological Administration(KMA) and compared the data with the wave characteristics in Gijang Sea. The main results were as follows. In winter, the wave direction in Gijang Sea ranged between east and south($90{\sim}180^{\circ}$). The main wave direction was east($90^{\circ}$). The Significant wave heights and periods were under 2 m and $5{\sim}15$ sec, respectively. A comparison of water depth and wave direction constitutes one(condition) of the important parameters for selecting the optimal site for the wave power generation.

• Journal of the Korean Association of Geographic Information Studies
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• v.5 no.2
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• pp.47-53
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• 2002

Ocean surface wind speed was estimated using TRMM (Tropical Rainfall Measurement Mission) TMI (TRMM Microwave/Imager) data. It is used the TRMM TMI brightness temperature and National Data Buoy Center's buoy winds speed dataset near North-America to estimate by the algorithm of the ocean surface wind speed retrieval over North America. Comparing with the buoy data by D-matrix equation, the result that RMSE, BIAS, and correlation coefficient are 2.19 $ms^{-1}$, 1.10 $ms^{-1}$, and 0.81, respectively. Therefore the estimated oceanic surface wind speed by TRMM TMI brightness temperature data show that available to ocean research over upper ocean.

• Journal of Ocean Engineering and Technology
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• v.23 no.1
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• pp.89-95
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• 2009

The purpose of the present study was to evaluate the safety under extreme environmental conditions and the dynamic safety under service environment conditions, of oceanographic buoy mooring systems consisting of a variety of materials, including chain, wire rope, nylon rope, and polypropylene rope. For the static safety assessment of a mooring system, after the calculation of external forces and the division of a mooring system into finite elements, the numerical integral was conducted to yield the elemental static tension until satisfying the geometrical convergence condition. To evaluate the dynamic safety, various processes were considered, including data collection about the anticipated areas for mooring, a determination of the parameters for the interpretation, the interpretation of the dynamic characteristics based on an analytic equation that takes into account the heave motion effect of a buoy hull and a mooring system, and a fatigue analysis of the linear cumulative damage. Based on the analysis results, a supplementary proposal for a wire rope that has a fracture in an actual mooring area was established.

• Journal of the Korean earth science society
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• v.39 no.5
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• pp.436-457
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• 2018

In this study, we apply a three-dimensional circulation model, MOHID (MOdelo $HIDrodin{\hat{a}}mico$), and reproduce oceanic variation around the East Asian seas including Korea in 2016. Simulation results are verified by using objective analysis fields (EN4, ARMOR3D, AVISO, and SIO products) and in-situ observation data (serial oceanographic and buoy data). Verification results show that general characteristics of the water temperature, sea level anomaly, surface velocity, and mixed layer depths simulated by MOHID are similar with those of the objective analysis fields in the East Asian seas. Especially, when buoy data in the coastal areas are compared, correlation coefficients of sea surface temperature and sea level anomaly are both over 0.8 and normalized standard deviations are between 0.85 and 1.15, respectively. However, it is analyzed that additional improvement would be necessary in the representation of thermocline structure in the East Sea and strong stratification phenomena in the Yellow and South Sea in summer.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.1-12
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• 2022

In the event of a maritime distress accident, rapid search and rescue operations using rescue assets are very important to ensure the safety and life of drowning person's at sea. In this paper, we analyzed the surface layer current in the northwest sea area of Ulleungdo by applying machine learning such as multiple linear regression, decision tree, support vector machine, vector autoregression, and LSTM to the meteorological information collected from the maritime observation buoy. And we predicted the drowning person's route at sea based on the predicted current direction and speed information by constructing each prediction model. Comparing the various machine learning models applied in this paper through the performance evaluation measures of MAE and RMSE, the LSTM model is the best. In addition, LSTM model showed superior performance compared to the other models in the view of the difference distance between the actual and predicted movement point of drowning person.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.16 no.3
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• pp.171-177
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• 2004

A new wave gauge using digital image of waves is developed and the performances are tested by wave tank experiments. This wave gauge uses frame frequency of 1/15 sec, conversion of analog images to digital images, and large capacity of hard disk. This wave gauge measures wave heights by detecting the buoy movement automatically from the image, where the buoy moves with the same phase of water surface. The comparison of automatic measurements of wave heights to the true data is reasonable. The wave gauge can be improved to measure wave heights on shallow waters near shorelines.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.10a
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• pp.597-601
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• 2000

Sea fog/stratus is very difficult to detect because of the characteristics of air-sea interaction and locality, and the scantiness of the observed data from the oceans such as ships or ocean buoys. The aim of our study develops new algorism for sea fog detection by using Geostational Meteorological Satellite-5(CMS-5) and suggests the technics of its continuous detection.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.476-476
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• 2016

근래 들어 우리나라 동해안에서 이상고파라 불리는 너울성 고파가 자주 발생하여 상당한 인명 피해를 야기하는 등 사회적으로 큰 이슈가 되고 있다. 이상고파는 일반적으로 동해상에서 발달한 강한 저기압에 의해 발생한 고파가 상대적으로 주기가 긴 너울의 특성을 띄며 우리나라 연안에 도달하여 피해를 발생시키는 것으로 알려져 있으며, 연안에 해상상태가 잦아지는 상황에서 갑작스럽게 전파되어 오기 때문에 많은 인명피해가 발생하게 된다. 현재 미국 등의 해양예보 선진국들은 파랑모델을 운용하여 너울을 포함한 파랑예보를 수행하고 있으며, 해상부이 등의 다양한 파랑관측을 통해 그 성능을 향상시키고 있다. 우리나라에서도 선진 해양예보시스템을 활용하여 이상고파를 예측하고자 하는 연구의 필요성이 제기되고 있으며 정부 관련 부처를 중심으로 그에 대한 연구가 점차 진행되고 있다. 본 연구에서는 파랑모델을 활용하여 기존에 발생한 이상고파 피해사례에 대한 후측모의를 수행하고 우리나라에서 발생하는 이상고파의 발달과정을 분석하였다. 또한, 파랑모델의 후측모의 결과를 관측자료와 비교하여 모델의 성능을 검증하고 문제점을 분석하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.153-154
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• 2019

본 연구에서는 일본 기상청(JMA)에서 제공하는 JMA-MSM (Meso-Scale Model) 바람장을 SWAN 모델에 입력자료로 적용하여 파랑전파를 모의하였다. 영역은 심해역·중간역·연안역으로 설정하였다. 산출된 모델링의 결과는 관측자료와 비교·검증하여 모델 구축에 대한 신뢰성을 확보하였다. 그리고 연안역에서 SWAN모델의 파랑스펙트럼정보를 입력조건으로 하는 SWASH모델의 영역을 구축하여 두 모델간 파랑전파양상을 비교하였다. SWAN(phase-averaged) 모델과 SWASH(phase-resolving) 모델은 지배방정식의 차이에 따라 파랑의 위상처리 방식 등의 차이가 있다. 이로 인한 연안역에서의 파랑전파양상의 차이를 비교하였다.

• Korean Journal of Remote Sensing
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• v.15 no.3
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• pp.277-288
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• 1999

The aim of this review is to provide perspectives on the application of remote sensing techniques for observation of marine environmental changes on various spatio-temporal scales. Currently available remote sensing technologies are reviewed and future direction is suggested. For better utilization of remote sensing, a comprehensive plan should be developed by a demand-side and problem-solving approach. Marine environmental changes should be observed on proper spatio-temporal scales where the processes occur. For appropriate observation and monitoring of various environmental changes in coastal regions, more sensors must be utilized. Platforms other than satellites should also be utilized to expand the spatio-temporal scales of observation. Calibration/validation activities, required for accurate interpretation of remotely sensed data, could utilize buoys and ship-of-opportunity sensors. It is desirable that such systems by developed as a part of an integrated monitoring network.