At ship design stage, the maneuverability is generally estimated based on the empirical formula or the computational fluid dynamic (CFD), which is one of the numerical simulation methods. Using the hydrodynamic derivatives derived through these methods can quantitatively estimate the maneuverability of target vessels and evaluate indirect maneuverability. Nevertheless, research on estimating maneuverability is insufficient for ships not subject to IMO maneuverability standard, especially fishing vessels, and even at the design stage, the empirical formula developed for merchant ships is applied without modification. An estimation error may occur due to the empirical formula derived from the regression analysis results of a model test if the empirical formula developed for merchant ships with different hull shapes is applied to fishing vessels without any modification. In this study, the modified empirical formula that can more accurately estimate the fishing vessel's maneuverability was derived by including the hull shape parameter of target fishing trawlers in the regression analysis process that derives Kijima et al. (1990) formula. As a result, the modified empirical formula showed an average estimation error of 6%, and the result improved the average error of 49% of Kijima et al. (1990) formula developed for merchant ships.

The assessment of wind resources must be carried out to choose wind farm sites adequately. Additionally, input data on surface roughness maps and topographic maps are required to evaluate wind resources, where input data accuracy determines the accuracy of their overall analysis. To estimate this accuracy, we used met-mast data in Jeju and produced the ground roughness value for the Jeju region. To determine these values, an unsupervised classification method using SPOT-5 images was carried out for image classification. The wind resources of the northeastern part of Jeju were predicted, and the ground roughness map of the region was calculated by the WindPRO software. The wind speed of the Pyeongdae region of Jeju from the ground roughness map was calculated using WindPRO as 8.51 m/s. The wind speed calculated using the remote sensing technology presented in this study was 8.69 m/s. To assess the accuracy of the measured WindPro and the remote sensing technology values, we compared these results to the observed values in the Pyeongdae region using met-mast. This comparison shows that remote sensing data are more accurate than the WindPro data. We also found that the ground roughness map calculated in this study is useful for generating an accurate wind resource map of Jeju Island.

본 연구에서는 레이더 자료를 이용하여 강우발생을 판단하는데 있어 그 정확성을 살펴보고, 이를 높이기 위한 방법으로 가강수량의 역할을 평가하고자 한다. 강우/무강우 정보는 재해 차원에서는 중요성이 덜하지만 농업, 건설 등의 산업분야나 우리의 일상생활에 많은 영향을 미치는 인자이다. 이러한 이유로 강우강도의 추정뿐만 아니라 강우발생 자체를 예측하는 기술도 기상예보의 중요한 부분을 차지하고 있다. 본 연구에서는 레이더 자료를 이용한 강우발생 판단의 정확성을 파악하기 위하여 관악산 레이더 자료와 레이더 반경 내 분포되어 있는 30개 지점의 AWS 강우자료를 분석하였다. 또한, 레이더를 이용한 강우발생 판단의 정확성에 가강수량이 미치는 영향을 분석하기 위하여 오산 고층기상관측소와 백령도 고층기상관측소 자료를 이용하여 산정한 가강수량을 적용하였다. 가강수량의 경우 오산 고층기상관측소와 백령도 고층기상관측소의 영향권 내에 위치한 AWS 지점에 적용하여 강우 발생 판단을 위한 월별 기준을 결정하였다. 이러한 연구를 통해 본 연구에서는 (1) 레이더 자료를 이용한 강우발생 판단의 정확성을 검토하고, (2) 강우발생 판단의 정확성에 미치는 가강수량의 영향을 분석하였다.