• 대기
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• 제29권4호
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• pp.367-380
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• 2019

Global warming causes various problems such as the increase of the sea surface temperature, the change of coastlines, ocean acidification and sea level rise. Sea level rise is an especially critical threat to coastal regions where massive population and infrastructure reside. Sea level change is affected by thermal expansion and mass increase. This study projected future sea level changes in the 21st century using the HadGEM2-AO with RCP8.5 scenario. In particular, sea level change due to water mass input from ice-sheets and glaciers melting is studied. Sea level based on surface mass balance of Greenland ice-sheet and Antarctica ice-sheet rose 0.045 m and -0.053 m over the period 1986~2005 to 2081~2100. During the same period, sea level owing to dynamical change on Greenland ice-sheet and Antarctica ice-sheet rose 0.055 m and 0.03 m, respectively. Additionally, glaciers melting results in 0.145 m sea level rise. Although most of the projected sea level changes from HadGEM2-AO are slightly smaller than those from 21 ensemble data of CMIP5, both results are significantly consistent each other within 90% uncertainty range of CMIP5.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.633-633
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• 2002

We investigated the distributions of sea ice using various microwave remote sensing techniques in the part of Drake passage, Antarctica, between the area 45-75$^{\circ}$W and 55-66$^{\circ}$S. We used Topex/Poseidon(T/P) radar altimeter, ERS-1 altimeter, ERS-2 scatterometer, Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), and DMSP Special Sensor Microwave/Imager(SSM/I) data. The sea ice distributions were estimated between May and Jun., 1995 and Oct. and Nov., 1998. The two altimeter measurements (T/P and ERS-1) showed good coherence with the results from the radiometer data in the given period when the ice concentration of 20% and greater was selected. The scatterometer data also showed good correlation with altimetry-implied sea ice surface. The maximum and minimum values of sea ice distribution were appeared in Aug. and Feb., respectively. In general, the sea ice distributions estimated from radar altimeter, radioneter, and scatterometer are well correlated.

• Ocean and Polar Research
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• 제40권4호
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• pp.281-288
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• 2018

The transmission of solar light according to the distribution of chromophoric dissolved organic matter (CDOM) was measured in the Pacific Arctic Ocean. The Research Vessel Araon visited the ice-covered East Siberian and Chukchi Seas in August 2016. In the Arctic, solar [ultraviolet-A (UV-A), ultraviolet-B (UV-B), and photosynthetically active radiation (PAR)] radiation reaching the surface of the ocean is primarily protected by the distribution of sea ice. The transmission of solar light in the ocean is controlled by sea ice and dissolved organic matter, such as CDOM. The concentration of CDOM is the major factor controlling the penetration depth of UV radiation into the ocean. The relative CDOM concentration of surface sea water was higher in the East Siberian Sea than in the Chukchi Sea. Due to the distribution of CDOM, the penetration depth of solar light in the East Siberian Sea (UV-B, $9{\pm}2m$; UV-A, $13{\pm}2m$; PAR, $36{\pm}4m$) was lower than in the Chukchi Sea (UV-B, $15{\pm}3m$; UV-A, $22{\pm}3m$; PAR, $49{\pm}3m$). Accelerated global warming and the rapid decrease of sea ice in the Arctic have resulted in marine organisms being exposed to increased harmful UV radiation. With changes in sea ice covered areas and concentrations of dissolved organic matter in the Arctic Ocean, marine ecosystems that consist of a variety of species from primary producers to high-trophic-level organisms will be directly or indirectly affected by solar UV radiation.

• 한국해양공학회지
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• 제35권5호
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• pp.369-381
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• 2021

The International Ice Patrol (IIP) was established after the Titanic collided with an iceberg off the eastern coast of Canada in 1912 and sank, killing more than 1,500 people. Recently, the IIP has analyzed satellite images and provided safe operation information to vessels by tracking the occurrence and movement of icebergs. A large number of recent arctic studies mainly deal with sea ice formed by freezing seawater related to sea routes and resource development. The iceberg that collided with the Titanic was land-based ice that dislodged from a glacier and fell into the sea. The properties of these two types of ice are different. In addition, vessels operating in ice-covered waters such as the Arctic sea have an ice-breaking function or minimum ice-strengthened functions. Ships operating on transatlantic routes including the eastern coast of Canada do not necessarily require ice-strengthened functions. Hundreds to thousands of icebergs are discovered each year near the area where the Titanic sank. In this study, the status of ship-iceberg collision accidents was investigated to provide useful information to researchers, and the physical and mechanical characteristics of icebergs were investigated and summarized.

• 대한원격탐사학회지
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• 제35권6_1호
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• pp.999-1009
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• 2019

북극항로의 개척 가능성과 정확한 기후 예측 모델의 필요성에 의해 북극해 고해상도 해빙 지도의 중요성이 증가하고 있다. 그러나 기존의 북극 해빙 지도는 제작에 사용된 위성 영상 취득 센서의 특성에 따른 데이터의 취득과 공간해상도 등에서 그 활용도가 제한된다. 본 연구에서는 Sentinel-1 A/B SAR 위성자료로부터 고해상도 해빙 지도를 생성하기 위한 딥러닝 기반의 해빙 분류 알고리즘을 연구하였다. 북극해 Ice Chart를 기반으로 전문가 판독에 의해 Open Water, First Year Ice, Multi Year Ice의 세 클래스로 구성된 훈련자료를 구축하였으며, Convolutional Neural Network 기반의 두 가지 딥러닝 모델(Simple CNN, Resnet50)과 입사각 및 thermal noise가 보정된 HV 밴드를 포함하는 다섯 가지 입력 밴드 조합을 이용하여 총 10가지 케이스의 해빙 분류를 실시하였다. 이 케이스들에 대하여 Ground Truth Point를 사용하여 정확도를 비교하고, 가장 높은 정확도가 나온 케이스에 대해 confusion matrix 및 Cohen의 kappa 분석을 실시하였다. 또한 전통적으로 분류를 위해 많이 활용되어 온 Maximum Likelihood Classifier 기법을 이용한 분류결과에 대해서도 같은 비교를 하였다. 그 결과 Convolution 층 2개, Max Pooling 층 2개를 가진 구조의 Convolutional Neural Network에 [HV, 입사각] 밴드를 넣은 딥러닝 알고리즘의 분류 결과가 96.66%의 가장 높은 분류 정확도를 보였으며, Cohen의 kappa 계수는 0.9499로 나타나 딥러닝에 의한 해빙 분류는 비교적 높은 분류 결과를 보였다. 또한 모든 딥러닝 케이스는 Maximum Likelihood Classifier 기법에 비해 높은 분류 정확도를 보였다.

• 대한조선학회논문집
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• 제51권6호
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• pp.489-494
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• 2014

Estimation of correct ice load under various operating conditions is important during the design and the operation stages of an icebreaker. Normal operating conditions are expected from the official field ice trials and also from general ice transit action. In this paper ice load for the Korean icebreaking research vessel, ARAON, under normal operating condition, is discussed. Published ice load data from full-scale sea trials of six icebreakers were analysed to derive an empirical ice load prediction formula. The IBRV ARAON had sea ice trials during 2010 and 2012 summer season. Strain gauge signal were recorded during her icebreaking voyage and the measured strain data were converted to the equivalent hull stress values. The effect of ARAON's speed in ice and the hull stresses are investigated. By comparing the empirical formula and ice load calculation based von measured data, it is recommended to use the empirical ice load estimation formula for the initial design stage.

• Journal of Advanced Research in Ocean Engineering
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• 제1권1호
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• pp.25-35
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• 2015

This study presents the analysis of relationship between ship speed and local ice load on the Korean Icebreaker ARAON. The relationship curves were made from the data obtained at two areas: the Arctic and the Antarctic; and for two operation condition: the icebreaking condition in sea ice trial and general operation in ice covered sea. The strain data were converted to the equivalent stress value, and the influence of ship speed on the local ice load was analyzed and compared each other. These analysis results are useful in working on a statistically valid hull design approach.

• 한국항해학회지
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• 제11권1호
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• pp.107-144
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• 1987

In cold season, ice accretion on ship, drift ice, NW winter monsoon, developed extratropical cyclones and associated cold fronts, in warm season, tropical cyclones and dense sea fogs, are encountered very frequently in the North Pacific, especially in the northwest part of it. The two areas, namely, the northwest part of the North Pacific and Burmuda Triangle in the North Atlantic are generally known as most dangerous areas in the world because its high incidence of sea cascualities. In recent years, the small fisherboats operating in the northern seas were frequently sunk in a group as they encountered ice accretion or drift ice. And ocean going vessels were also sunk frequently due to strong winds and very high seas in winter monsoon or developed cyclones and cold fronts. The purpose of this paper is to analyze the real state of heavy weather conditions such as ice accretion on ship drift, ice, typhoons and sea fogs, and also to analyse the effect of these heavy weather phenomena on the vessels at sea, thus helping mariners operate in such heavy weather conditions.

• Journal of applied mathematics & informatics
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• 제26권3_4호
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• pp.519-530
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• 2008

This paper studies the multi-domain coupled system of one dimensional Arctic temperature field and establishes identification model about the thermodynamic parameters of sea ice (heat storage capacity, density and conductivity) by the so-called output least-square estimate according to the temperature data acquired by a monitor buoy installed in the Arctic ocean. By the optimal control theory, the existence and dependability of weak solution and the identifiability of identification model have been given. Moreover, necessary optimality condition is proposed. Furthermore, the optimal algorithm for the identification model is constructed. By using the optimal thermodynamic parameters of Arctic sea ice, the numerical simulation is implemented, and the numerical results of temperature distribution of Arctic sea ice are demonstrated.

• 대한원격탐사학회지
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• 제34권6_2호
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• pp.1215-1227
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• 2018

해빙의 이동은 지역적 분포뿐만 아니라 해빙의 생성 및 두께에도 영향을 미치기 때문에 해빙의 변화를 평가하는 데에 중요한 정보가 된다. 이 연구에서는 북극해 해빙의 이동 특성 탐지를 위해 Korea Multi-Purpose Satellite-2(KOMPSAT-2)와 Korea Multi-Purpose Satellite-3(KOMPSAT-3)의 두 위성 센서로부터 다중 시기 고해상도 광학 위성 영상을 획득하고, SIFT(Scale-Invariant Feature Transform), SURF(Speeded Up Robust Features) 및 ORB(Oriented FAST and Rotated BRIEF)의 특징점 추적 기법을 적용하였다. 두 위성 센서에서 획득된 영상의 활용을 위해 전처리 단계에서 공간해상도와 방사해상도를 일치시킨 후 특징점 추적 기법을 적용한 결과 SIFT의 경우 영상 전반에 걸쳐 특징점의 고른 공간 분포가 나타났고, SURF의 경우 해빙과 해양의 경계 부분에 특징점이 주요하게 분포하는 경향이 관찰되었으며 이러한 경향은 ORB에서 가장 현저하게 나타났다. 특징점 추적 기법별 연산 시간 측정 결과 SIFT, SURF 및 ORB의 순서로 연산 시간이 감소하였다. ORB의 경우 SIFT 기법 대비 추적된 특징점 수가 평균 59.8%로 줄어들었지만 연산 시간은 평균 8.7%에 해당하는 시간이 소요되어 해빙 이동 특성의 고속 탐지에 적합한 기법으로 판단된다.