Brief introduction to 1st year results of KORDI&quots NAP

A 1st stage three year project so called NAP started from Dec 2008 with financial support from KRCF and KORDI. The project was proposed o give answers to current national issues raised in the course of responding to the accidents which include the improvement of oil spill behavior prediction system, the assessment of dispersant effects on the ecosystem and the development of technologies of effectively removing oil remnants on the coastal rocks and bottom sediment. Brief summary of 1st year result will be presented in this workshop along with domestic and international cooperative works.1

Vessel monitoring apparatus for unidentified vessel, vessel monitoring system having the same and method for monitoring vessel

본 발명은 미확인 선박을 모니터링하는 선박 모니터링 장치, 이를 구비한 선박 모니터링 시스템 및 선박 모니터링 방법에 관한 것으로, 구체적으로는 모선을 이용하여 관제센터의 관측범위 밖의 외해(外海)에 위 치하거나 선박자동식별장치 또는 선박장거리추적장치가 구비되지 않은 선박인 미확인 선박을 모선을 이용 하여 관제센터에서 모니터링할 수 있는 미확인 선박을 모니터링하는 선박 모니터링 장치, 이를 구비한 선 박 모니터링 시스템 및 선박 모니터링 방법에 관한 것이다

Propionic acid mixed biosolvent and method of removing adhered weathered oil on bed rocks in coastal area

본 발명은 해변 암반 등에 표착된 풍화유를 간편하고 저렴하게 그리고 친환경적으로 제거할 수 있는 P-유 기산 혼합 바이오솔벤트 및 이를 이용한 해안 암반 표착 풍화유 제거방법을 제공한다. 본 발명은 해변에 표착된 유류의 정화를 위한 저비용, 저인력의 새로운 시도가 가능하게 하며 더욱이 친환경적인 성분으로 구성되어 2차 유류오염을 방지하는 효과가 있다. 또한 무엇보다도 본 발명에 따르면 해변 암반 등에 표착 된 풍화유의 제거효율이 100%에 달하는 최상의 효과를 얻을 수 있다

Applying ocean data assimilation and forecast skill test for regional ocean circulation model in East Japan/Sea

We applied 3-dimentional variational data assimilation technique (3D-Var) to the MOM3-based regional ocean model in the East/Japan Sea. Reanalyzed 100m temperature field by the 3D-Var fairly well corresponds with the measured one by the PIES (Pressure-gauge-equipped Inverted Echo Sounder) (Kim et al., 2009). Correlation between hindcasted temperature from the initial of reanalysis and measure one is presented as a skill of forecast. Consequently, the forecast skill of the MOM3-based regional ocean model with 3D-Var persists high within 2 months as the correlation is higher than 0.6.1

A Three-Dimensional Prediction of Sea State near Korean Peninsula based on

황해의 해양 환경 보전은 해양 생태계의 지속 가능한 개발과 더불어 중요한 해양학적인 과제이며 이러한 과업을 올바르게 수행하기 위해서는 황해의 해양생태계에 대한 과학적 탐구가 필수적이며 또한 현상을 적절하게 시뮬레이션시킬 수 있는 모형이 필요하다. 본 연구에서는 골격이 되는 동수역학적인 3차원모형을 POL(Proudman Oceangraphic Lab)에서 개발한POLCOMS(Proudman Oceanographic LaboratoryCoastal Ocean Modelling System)모형과PML(Plymouth Marine Lab)의 ERSEM (EuropeanRegional Seas Ecosystem Model)의 생물학적인 모형을 근간으로 한 황해의 해양생태학적 모형을 개발하고자 한다 (Fig. 1). POL에서 개발한 POLCOMS3D모형은, 우리나라 육붕해와 영국의 육붕해의 조건이 비슷하고, 이미 ERSEM 생태모형과의 결합이 성공적이라 이 모형을 황해의 영역과 조건에 맞추어 적용하고자 하는 것이다. POLCOMS 모형은 북해에서 성공적으로 계속적인 개선 중에 있고 2008년 버전 6.4가 개발되어 배포되었다.2

Vessel break-hole part emergency blockade device

기술 개요 및 특징 참

On the Wintertime Wind-driven Circulation in the Yellow Sea and the East China Sea : Part Ⅰ. Effect of Tide-induced Bottom Friction

33Nscopuskc

천수만 방조제 건설로 인한 조석현상 변화

22othe

Numerical Experiments on the influence of the Tsushima Warm Current upon the East Sea Circulation

Influence of long term variation of Tsushima Warm Current(TWC) transport on the circulation of the East Sea has been investigated using a numerical model(RIAM Ocean Model). It is interesting that the impacts of TWC transport change does not confined in the upper ocean. Most prominent influences are shown in the mixed layer depth distribution and meridional overturning strength. It is concluded that the inter-annual variability of TWC transport, it it exists, may be very important to understand the recent slow down of the convection in the East Sea. Decreased TWC transport deepen the MLD and enhances meridional overturning strength. It is suggested that the lateral heat flux in the Korea Strait is also important as well as air temperature warming at the surface.2

Interannual variation of freshwater transport through the Korea Strait

The variability of freshwater transport in the Korea Strait (FTKS) affects the circulation and ecosystem of the East/Japan Sea. Numerical simulations using realistic surface forcing, Changjiang River discharge (CRD), and open boundary values were performed to quantify the interannual variation of FTKS and to investigate its underlying physical processes. The simulated salinity and volume transport, which determine the variability of FTKS, were verified by comparing with observations. Salinity played a more important role than volume transport in inducing the interannual variation of FTKS. FTKS has a positive correlation with CRD, the difference between precipitation and evaporation (P-E), southeasterly wind, and freshwater transport in the Taiwan Strait (FTTS). FTKS has its best correlation (0.62) with FTTS. The correlations with CRD (0.25) and P-E (0.37) are weaker, probably due to wind stress. The southeasterly wind that drives Changjiang diluted water toward the Korea Strait by Ekman flow in the East China Sea has good correlation (0.51) with FTKS. The vertical structures of FTKS and its variability are more effectively affected by CRD and P-E in the surface layer, FTTS in the middle layer, and the wind in the subsurface layer.s were performed to quantify the interannual variation of FTKS and to investigate its underlying physical processes. The simulated salinity and volume transport, which determine the variability of FTKS, were verified by comparing with observations. Salinity played a more important role than volume transport in inducing the interannual variation of FTKS. FTKS has a positive correlation with CRD, the difference between precipitation and evaporation (P-E), southeasterly wind, and freshwater transport in the Taiwan Strait (FTTS). FTKS has its best correlation (0.62) with FTTS. The correlations with CRD (0.25) and P-E (0.37) are weaker, probably due to wind stress. The southeasterly wind that drives Changjiang diluted water toward the Korea Strait by Ekman flow in the East China Sea has good correlation (0.51) with FTKS. The vertical structures of FTKS and its variability are more effectively affected by CRD and P-E in the surface layer, FTTS in the middle layer, and the wind in the subsurface layer.1