• 한국해양학회지:바다
• /
• 제15권2호
• /
• pp.62-67
• /
• 2010

2008년 2월 24일 동해안에 출현한 너울은 3명의 인명 사고를 발생시켰으며 또한 일본의 서쪽 해안에서도 피해가 나타났다. 최근에 그 강도가 점점 강해지는 동해의 너울에 의한 사고를 줄이기 위해서는 향후 그 발생 시간과 위치에 대한 보다 정확한 예보가 필요하다. 본 연구에서는 동해에서의 파랑 예보의 정확성을 검증하기 위하여 SWAN 파랑 모델을 이용하여 2008년 2월 발생한 동해의 너울을 예측하고 검증하였다. 모델 결과는 파랑 관측 자료뿐만 아니라 한국기상연구소가 ReWW3를 사용하여 생산한 자료와도 비교 하였으며 특히 동해안의 두개의 파랑 관측소에서 획득한 주파수 스펙트럼과의 비교 분석도 수행하였다. 그 결과 파고 분포와 발생 시간은 유사하게 나타났지만 주파수 스펙트럼의 형태에 있어서는 차이가 나타났다. 너울에 대한 보다 정확한 예보를 위해서는 보다 많은 현장 관측 자료와의 비교 분석이 필요하며 특히 동해에서의 너울 특성 연구를 위해서는 파향 스펙트럼 관측 자료가 필요하다.

• Ocean and Polar Research
• /
• 제41권4호
• /
• pp.213-232
• /
• 2019

This study evaluates the accuracy of four satellite-composite (OSTIA, AVHRR, G1SST, FNMONC-S) and three model-reanalysis (HYCOM, JCOPE2, FNMOC-M) daily sea surface temperature (SST) data around the Korean Peninsula (KP) using ocean buoy data from 2011-2016. The results reveal that OSTIA has the lowest root mean square error (RMSE; 0.68℃) and FNMOC-S/M has the highest correction coefficients (r = 0.993) compared with observations, while G1SST, JCOPE2, and AVHRR have relatively larger RMSEs and smaller correlations. The large RMSEs were found in the western coastal regions of the KP where water depth is shallow and tides are strong, such as Chilbaldo and Deokjeokdo, while low RMSEs were found in the East Sea and open oceans where water depth is relatively deep such as Donghae, Ulleungdo, and Marado. We found that the main sources of the large RMSEs, sometimes reaching up to 5℃, in SST data around the KP, can be attributed to rapid SST changes during events of strong tidal mixing, upwelling, and typhoon-induced mixing. The errors in the background SST fields which are used in data assimilations and satellite composites and the missing in-situ observations are also potential sources of large SST errors. These results suggest that both satellite and reanalysis SST data, which are believed to be true observation-based data, sometimes, can have significant inherent errors in specific regions around the KP and thus the use of such SST products should proceed with caution particularly when the aforementioned events occur.

• 대기
• /
• 제19권2호
• /
• pp.169-182
• /
• 2009

To improve the performance of climate and numerical models, concerns on the land-atmosphere schemes are steadily increased in recent years. For the realistic calculation of land-atmosphere interaction, a land surface information of high quality is strongly required. In this study, a new land cover map over the Korean peninsula was developed using MODIS (MODerate resolution Imaging Spectroradiometer) data. The seven phenological data set (maximum, minimum, amplitude, average, growing period, growing and shedding rate) derived from 15-day normalized difference vegetation index (NDVI) were used as a basic input data. The ISOData (Iterative Self-Organizing Data Analysis), a kind of unsupervised non-hierarchical clustering method, was applied to the seven phenological data set. After the clustering, assignment of land cover type to the each cluster was performed according to the phenological characteristics of each land cover defined by USGS (US. Geological Survey). Most of the Korean peninsula are occupied by deciduous broadleaf forest (46.5%), mixed forest (15.6%), and dryland crop (13%). Whereas, the dominant land cover types are very diverse in South-Korea: evergreen needleleaf forest (29.9%), mixed forest (26.6%), deciduous broadleaf forest (16.2%), irrigated crop (12.6%), and dryland crop (10.7%). The 38 in-situ observation data-base over South-Korea, Environment Geographic Information System and Google-earth are used in the validation of the new land cover map. In general, the new land cover map over the Korean peninsula seems to be better classified compared to the USGS land cover map, especially for the Savanna in the USGS land cover map.

• 자원환경지질
• /
• 제37권5호
• /
• pp.509-519
• /
• 2004

JERS-1 L밴드 SAR 위성에서 얻어진 25개의 레이더간섭도를 이용하여 1992년 11월 5일부터 1998년 10월 1일 사이 경상북도 문경시 가은읍 폐탄광 일대의 지반 침하량을 측정하였다. SAR 영상에서 긴밀도가 높은 고정 산란체(PS: permanent scatterer)를 이용한 시계열 분석을 통해서 지반침하를 계산하였고, 현장조사된 균열등급 분포도와 비교하였다. 고정된 산란체는 1차적으로 진폭값과 간섭쌍의 긴밀도 영상을 이용하여 계산하였는데, 산악지역에 비해 도심지역에서 우세하게 선정되었다. 계산된 변위량은 붕락과 같은 급격한 비선형의 변위는 제외되고, 영상 획득 기간 내의 평균 변위량이다. 연구지역 내 계산된 주시방향으로의 평균 지표면 변위속도는 0.19cm/yr이고, 추정오차는 0.18cm/yr이다. 그리고 옛 가은 본갱의 중심부와 가은역 맞은편 일대에서 관측된 침하량은 0.49cm/yr, 1.66cm/yr로 연구지역에서 가장 뚜렷한 침하 양상을 보였다.

• 대한금속재료학회지
• /
• 제50권12호
• /
• pp.939-948
• /
• 2012

A 3-ply clad metal consisting of aluminum and copper was fabricated by roll bonding process and the microstructures and mechanical properties of the roll-bonded and post-roll-bonding heat treated Cu/Al/Cu clad metal were investigated. A brittle interfacial reaction layer formed at the Cu/Al interfaces at and above $400^{\circ}C$. The thickness of the reaction layer increased from $12{\mu}m$ at $400^{\circ}C$ to $28{\mu}m$ at $500^{\circ}C$. The stress-strain curves demonstrated that the strength decreased and the ductility increased with heat treatment up to $400^{\circ}C$. The clad metal heat treated at $300^{\circ}C$ with no indication of a reaction layer exhibited an excellent combination of the strength and ductility and no delamination of layers up to final fracture in the tensile testing. Above $400^{\circ}C$, the ductility decreased rasxpidly with little change of strength, reflecting the brittle nature of the intermetallic interlayers. In Cu/Al/Cu clad heat treated above $400^{\circ}C$, periodic parallel cracks perpendicular to the stress axis were observed at the interfacial reaction layer. In-situ optical microscopic observation revealed that cracks were formed in the Cu layer due to the strain concentration in the vicinity of horizontal cracks in the intermetallic layer, promoting the premature fracture of Cu layer. Vertical cracks parallel to the stress axis were also formed at 15% strain at $500^{\circ}C$, leading to the delamination of the Cu and Al layers.

• 대한원격탐사학회지
• /
• 제34권6_2호
• /
• pp.1261-1272
• /
• 2018

북극 지역의 대기 온도는 바다 및 해빙, 대기 사이의 에너지 교환에 큰 역할을 하므로 북극 대기 온도를 정확하게 파악하는 것은 중요하다. 하지만 현장 관측 자료들은 북극 대기 온도의 공간적인 분포를 나타내는 데에 한계가 있다. 따라서 본 연구에서는 부이(buoy) 자료와 Advanced Microwave Scanning Radiometer 2(AMSR2) 위성자료를 이용하여 기계학습 기반 여름철 대기 온도 추정 모델을 구축하였다. 기계학습으로는 random forest(RF) 및 support vector machine(SVM)을 사용하였으며, AMSR2 관측 시간에 따라 하루 두 번의 대기 온도를 추정하였다. 또한 추정된 대기 온도를 유럽 중기예보센터(European Centre for Medium-Range Weather Forecasts, ECMWF)의 ERA-Interim 재분석자료의 대기 온도와 공간 분포를 비교하였다. 교차 검증 결과 두 가지 기계학습 기법 모두 0.84-0.88의 $R^2$ 및 $1.31-1.53^{\circ}C$의 RMSE를 보였다. 공간적인 분포에서 IABP 부이 관측 자료가 존재하지 않는 바렌츠해(Barents Sea), 카라해(Kara Sea) 및 배핀만(Baffin bay) 지역에서는 기계학습 모델이 ERA-Interim 대기 온도에 비하여 과소 추정하는 경향을 보였다. 본 연구는 경험적인 북극 대기 온도 추정의 가능성과 한계점을 서술하였다.

• Ocean and Polar Research
• /
• 제35권3호
• /
• pp.193-203
• /
• 2013

A GPS-drifter was newly designed to observe the sea surface skin current and to estimate the direct wind effect on the sea surface. After conducting a test to establish and verify the accuracy of the GPS itself in the laboratory, in-situ experimental campaigns at Saemangeum in Gunsan city and Haeundae in Busan city, Korea, were carried out to ascertain the drifter track and to estimate the velocity data set on Oct. 3, 15, 23, 27 and Nov. 25, 2011. The current meters, RCM9 and ADCP, were moored together to remove the background current field, and the wind data were obtained from several marine stations such as towers and buoys in these areas. The drifter-observed velocity show good agreement with the flow obtained by the HF radar in the Saemangeum area. The direction of the wind-driven current extracted from the drifter-observed velocity was completely deflected to the right, however the degree of the angle was different according to the drift types. The average speed of the wind-driven current matched with 2.19~2.81% of the wind speed and the deflection angle was about $8.0{\sim}10.9^{\circ}$ without adjustment for the land-sea effect, and about 2.19~2.84% and $4.1{\sim}6.0^{\circ}$ with the adjustment for the land-sea effect.

• 한국환경과학회지
• /
• 제23권8호
• /
• pp.1481-1493
• /
• 2014

In order to understand the relation between the distribution of sea surface temperature and heavy snowfall over western coast of the Korean peninsula, several numerical assessments were carried out. Numerical model used in this study is WRF, and sea surface temperature data were FNL(National Center for Environment Prediction-Final operational global analysis), RTG(Real Time Global analysis), and OSTIA(Operational Sea Surface Temperature and Sea Ice Analysis). There were produced on the basis of remote sensing data, such as a variety of satellite and in situ observation. The analysis focused on the heavy snowfall over Honam districts for 2 days from 29 December 2010. In comparison with RTG and OSTIA SST data, sensible and latent heat fluexes estimated by numerical simulation with FNL data were higher than those with RTG and OSTIA SST data, due to higher sea surface temperature of FNL. General distribution of RTG and OSTIA SST showed similar, however, fine spatial differences appear in near western coast of the peninsula. Estimated snow fall amount with OSTIA SST was occurred far from the western coast because of higher SST over sea far from coast than that near coast. On the other hand, snowfall amount near coast is larger than that over distance sea in simulation with RTG SST. The difference of snowfall amount between numerical assessment with RTG and OSTIA is induced from the fine difference of SST spatial distributions over the Yellow sea. So, the prediction accuracy of snowfall amount is strongly associated with the SST distribution not only over near coast but also over far from the western coast of the Korean peninsula.

• 대기
• /
• 제20권4호
• /
• pp.415-426
• /
• 2010

A Land cover map over East Asian region (Kongju national university Land Cover map: KLC) is classified by using support vector machine (SVM) and evaluated with ground truth data. The basic input data are the recent three years (2006-2008) of MODIS (MODerate Imaging Spectriradiometer) NDVI (normalized difference vegetation index) data. The spatial resolution and temporal frequency of MODIS NDVI are 1km and 16 days, respectively. To minimize the number of cloud contaminated pixels in the MODIS NDVI data, the maximum value composite is applied to the 16 days data. And correction of cloud contaminated pixels based on the spatiotemporal continuity assumption are applied to the monthly NDVI data. To reduce the dataset and improve the classification quality, 9 phenological data, such as, NDVI maximum, amplitude, average, and others, derived from the corrected monthly NDVI data. The 3 types of land cover maps (International Geosphere Biosphere Programme: IGBP, University of Maryland: UMd, and MODIS) were used to build up a "quasi" ground truth data set, which were composed of pixels where the three land cover maps classified as the same land cover type. The classification results show that the fractions of broadleaf trees and grasslands are greater, but those of the croplands and needleleaf trees are smaller compared to those of the IGBP or UMd. The validation results using in-situ observation database show that the percentages of pixels in agreement with the observations are 80%, 77%, 63%, 57% in MODIS, KLC, IGBP, UMd land cover data, respectively. The significant differences in land cover types among the MODIS, IGBP, UMd and KLC are mainly occurred at the southern China and Manchuria, where most of pixels are contaminated by cloud and snow during summer and winter, respectively. It shows that the quality of raw data is one of the most important factors in land cover classification.

• 한국분말재료학회지
• /
• 제20권1호
• /
• pp.53-59
• /
• 2013

Fe-TiC composite powder was fabricated via two steps. The first step was a high-energy milling of FeO and carbon powders followed by heat treatment for reduction to obtain a (Fe+C) powder mixture. The optimal condition for high-energy milling was 500 rpm for 1h, which had been determined by a series of preliminary experiment. Reduction heat-treatment was carried out at $900^{\circ}C$ for 1h in flowing argon gas atmosphere. Reduced powder mixture was investigated by X-ray Diffraction (XRD), Field Emission-Scanning Electron Microscopy (FE-SEM) and Laser Particle Size Analyser (LPSA). The second step was a high-energy milling of (Fe+C) powder mixture and additional $TiH_2$ powder, and subsequent in-situ synthesis of TiC particulate in Fe matrix through a reaction of carbon and Ti. High-energy milling was carried out at 500 rpm for 1 h. Heat treatment for reaction synthesis was carried out at $1000{\sim}1200^{\circ}C$ for 1 h in flowing argon gas atmosphere. X-ray diffraction (XRD) results of the fabricated Fe-TiC composite powder showed that only TiC and Fe phases exist. Results from FE-SEM observation and Energy-Dispersive X-ray Spectros-copy (EDS) revealed that TiC phase exists uniformly dispersed in the Fe matrix in a form of particulate with a size of submicron.