수치모델을 이용하여 한국 동해 용승역의 유동특성에 대해 연구하였다. 용승을 일으키는 주요 인자인 바람, 해류 등을 파악하여 동해 연안역의 시·공간적인 분포와 용승유량을 정량적으로 산정한다. 연구해역인 동해에서 대·소기의 조류는 흐름의 크기가 차이가 났으나 창조류 시 남향하고 낙조류 시 북향하는 흐름을 보였다. 취송류는 연안을 따라 북향하는 흐름을 보이며 표층에서는 외해로 발산하고 저층에서는 연안으로 보상하는 흐름을 나타낸다. 취송류에 의한 용승발생분포는 평균 0.1cm/s정도의 상승류가 동해 전 연안에 걸쳐 넓게 분포하며 표층에서 강하고 저층으로 갈수록 좁게 분포하는 경향을 보였다. 상승류의 최대 유속은 약 1.4cm/s 정도로 영덕, 후포, 구룡포 그리고 기장의 연안에서 나타났다. 또한 본 연구에서는 용승해역에서 용승유량을 정량적으로 산정하여 밝혀낸다.

In order to fast predict the wind-driven current in a small bay, a convolution method in which the wind-driven current can be generated only with the local wind is developed and applied in the Sachon Bay. The root mean square(rms) ratio defined as the ratio of the rms error to the rms speed is 0.37. The rms ratio is generally less than 0.2, except for all the mouths of Jinju Bay and Namhae-do and in the region between Saryang Island and Sachon. The spatial average of the recover rate of kinetic energy(rrke) is 87 %. Thus, the predicted wind-driven current by the convolution model is in a good agreement with the computed one by the numerical model. The ratio of the difference between observed residual current (Vr) and predicted wind-driven current (Vc) to a residual current, that is, (Vr -Vc)/Vr shows 56%, 62% at 2 moorings in the Sachon Bay.

In order to fast predict the wind-driven current in a small bay, a convolution method in which the wind-driven current can be generated only with the local wind is developed and applied in the idealized bay and the idealized Sachon Bay. The accuracy of the convolution method is assessed through a series of the numerical experiments carried out in the idealized bay and the idealized Sachon Bay. The optimum response function for the convolution method is obtained by minimizing the root mean square (rms) difference between the current given by the numerical model and the current given by the convolution method. The north-south component of the response function shows simultaneous fluctuations in the wind and wind-driven current at marginal region while it shows "sea-saw" fluctuations (in which the wind and wind-driven current have opposite direction) at the central region in the idealized Sachon Bay. The present wind is strong enough to influence on the wind-driven current especially in the idealized Sachon Bay. The spatial average of the rms ratio defined as the ratio of the rms error to the rms speed is 0.05 in the idealized bay and 0.26 in the idealized Sachon Bay. The recover rate of kinetic energy(rrke) is 99% in the idealized bay and 94% in the idealized Sachon Bay. Thus, the predicted wind-driven current by the convolution model is in a good agreement with the computed one by the numerical model in the idealized bay and the idealized Sachon Bay.