• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2007년도 춘계종합학술대회
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• pp.231-234
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• 2007

본 연구는 섬진강 하구역의 효율적이고 체계적인 해역환경관리를 위하여 해양관측데이터 및 수치모델링 자료 그리고 MGIS를 이용한 해역환경 DB 구축, 가시화, 체계화 및 SVG 언어를 이용한 MGIS기반 Web GUI 시스템을 구축하였다. 그 결과 섬진강 하구역의 물리해양학적 특성을 체계적으로 구현하여 파악할 수 있음을 확인하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.368-368
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• 2008

Oil spills are a principal factor of the ocean pollution. The complicated problems involved in detecting oil spills are usually due to varying wind and sea surface condition such as ocean wave and current. The Hebei Spirit accident was happened in the west sea ($36^{\circ}$41'04" N, $126^{\circ}$03'12" E) near about 8 km distant from Tae-An, Korea on December 7, 2007. The aim of this work is to improve the detection and classification performance in order to define a more accurate training set and identifying the feature of oil spill region. This paper deals with an optimization technique for the detection and classification scheme using multi-frequency and multi-polarization SAR and optical image data sets of the oil spilled sea. The used image data are the ENVISAT ASAR WS and Radarsat-1 of C-band and ALOS PALSAR of L-band SAR data and KOMPSAT-2 optical images together with meteorological or oceanographic data. Both the theory and the experimental results obtained are discussed.

• 한국해양공학회지
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• 제38권1호
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• pp.18-29
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• 2024

Waves are a complex phenomenon in marine and coastal areas, and accurate wave prediction is essential for the safety and resource management of ships at sea. In this study, three types of machine learning techniques specialized in nonlinear data processing were used to predict the waves of Korea waters. An optimized algorithm for each area is presented for performance evaluation and comparison. The optimal parameters were determined by varying the window size, and the performance was evaluated by comparing the mean absolute error (MAE). All the models showed good results when the window size was 4 or 7 d, with the gated recurrent unit (GRU) performing well in all waters. The MAE results were within 0.161 m to 0.051 m for significant wave heights and 0.491 s to 0.272 s for periods. In addition, the GRU showed higher prediction accuracy for certain data with waves greater than 3 m or 8 s, which is likely due to the number of training parameters. When conducting marine and offshore research at new locations, the results presented in this study can help ensure safety and improve work efficiency. If additional wave-related data are obtained, more accurate wave predictions will be possible.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.645-648
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• 2005

The COMS(Communication, Ocean and Meteorological Satellite), a multi-mission geo-stationary satellite, is being developed by KARl. The first mission of the COMS is the meteorological image and data gathering for weather forecast by using a five channel meteorological imager. The second mission is the oceanographic image and data gathering for marine environment monitoring around Korean Peninsula by using an eight channel Geostationary Ocean Color Imager(GOCI). The third mission is newly developed Ka-Band communication payload certification test in space by providing communication service in Korean Peninsula and Manjurian area. There were many low Earth orbit satellites for ocean monitoring. However, there has never been any geostationary satellite for ocean monitoring. The COMS is going to be the first satellite for ocean monitoring mission on the geo-stationary orbit. The meteorological image and data obtained by the COMS will be distributed to end users in Asia-Pacific area and it will contribute to the improved weather forecast.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.146-149
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• 2006

Marine surface winds observed by two microwave sensors, SeaWinds and Advanced Microwave Scanning Radiometer (AMSR), on the Advanced Earth Observing Satellite-II (ADEOS-II) are evaluated by comparison with off-shore moored buoy observations. The wind speed and direction observed by SeaWinds are in good agreement with buoy data with root-mean-squared (rms) differences of approximately 1 m $s^{-1}$ and $20^{\circ}$, respectively. No systematic biases depending on wind speed or cross-track wind vector cell location are discernible. The effects of oceanographic and atmospheric environments on the scatterometry are negligible. The wind speed observed by AMSR also exhibited reasonable agreement with the buoy data in general with rms difference of 1.2 m $s^{-1}$. Systematic bias which was observed in earlier versions of the AMSR winds has been removed by algorithm refinements. Intercomparison of wind speeds globally observed by SeaWinds and AMSR on the same orbits also shows good agreements. Global wind speed histograms of the SeaWinds data and European Centre for Medium-range Weather Forecasts (ECMWF) analyses agree precisely with each other, while that of the AMSR wind shows slight deviation from them.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2022년도 춘계학술대회
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• pp.424-425
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• 2022

본 논문에서는 X-band 레이더 기반 표층해류 계측 기법을 소개한다. 네비게이션 용도로 사용되는 선박용 X-band 레이더를 속초해수욕장에 설치하여 실시간으로 레이더 영상 데이터를 수집하고 표층해류를 해석하였다. 레이더 영상 기반 표층해류(유속) 계측의 정확도를 검증하기 위해 속초해수욕장 앞바다에 설치된 국립해양조사원 해양관측부이 자료와 비교·검증하였다. 2022년 1월, 약 한달 동안 수집된 자료를 활용하였으며, 그 결과 레이더를 이용한 표층해류(유속) 계측의 가능성을 확인하였다.

• 한국지리정보학회지
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• 제15권4호
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• pp.90-103
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• 2012

만리포는 2007년 12월 허베이 스피리트호 유류유출 사고로 유류오염 피해를 입은 대표적인 해변이다. 본 연구는 만리포 전체 영역과 5개로 분할된 영역을 대상으로 유분(TPH: Total Petroleum Hydrocarbon)의 시 공간적 변화 패턴에 대해 두 계절(동계와 하계)의 차이를 비교하고자 한다. 만리포 전체 영역에서 4년간 시간에 따른 유분농도의 감소율은 동계가 하계보다 약 두 배 크게 나타났다. 유분농도의 가중공간중심(weighted mean center)과 가중표준거리(weighted standard distance)를 이용한 유분분포의 공간적 변화 패턴 분석 결과, 동계에는 유분이 만리포의 남서 해변으로 군집된 패턴을 보인 반면, 하계에는 전 영역으로 분산된 패턴을 보였다. 만리포 내 분할 영역에서 유분의 시간적 변동은 동계에 모든 영역에서 농도가 지속적으로 감소한 반면, 하계에는 2009년 이후 남서 해변을 제외한 모든 영역에서 농도 변화를 보이지 않았다. 따라서 유류오염의 진행 상황을 평가하고 예측하기 위해서는 동계와 하계와 같이 시기를 구분하여 공간분석 기법을 이용한 유분의 시 공간 변동 패턴 분석이 필요하다. 또한, 지역적으로 불균등한 유분분포의 시간적 변동 패턴을 해석하기 위해서는 전체 해변에서 보다는 공간분할을 통한 지역 규모에서의 시계열적 분석이 유용하다.

• 해양환경안전학회지
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• 제9권2호
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• pp.59-64
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• 2003

국립수산과학원에서 장기간 관측한 정선해양관측자료와 연안정지관측자료를 이용하여 한국주변해역의 수온과 염분의 장기변화경향과 수층별 상관성을 보고자 하였다. 장기변화의 분석결과 한국연안수온은 하계냉수역이 발생하는 한국남서연안을 제외하고 상승하는 것으로 나타났다. 근해수온은 동해의 경우 표층은 상승하는 경향을 보인 반면 50m 와 l00m 수층은 하강하는 경향을 보였다. 남해의 경우 전 수층에서 상승하는 것으로 나타났으며, 서해의 경우 표층에서는 상승하나 50m 수층은 하강하는 것으로 나타났다. 근해염분은 동해의 경우 표층에서 하강하는 경향을 보인 반면, 50m 수층에서는 상승하는 경향을 보였으며, 100ml 수층 하강정도가 미미하게 나타났다. 남해의 경우 표층에서는 하강하는 경향을 보였으며, 50m 와 l00m 수층에서는 상승하는 경향을 보였다. 서해의 경우 표층과 50m 수층 모두 하강하는 경향을 보였다. 수층별 상관성을 보면 수온의 경우 동해와 남해에서 50m 수층과 100m 수층이 높은 상관도를 보였으나 서해의 경우 표층과 50m 수층 사이에는 상관성이 없는 것으로 나타났다. 염분의 경우 동해에서는 표층과 50m 수층이, 남해에서는 50m 와 l00m 수층이, 서해에서는 표층과 50m 수층이 높은 상관도를 보였다.

• 한국환경과학회지
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• 제19권11호
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• pp.1397-1405
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• 2010

Mass mortalities of cultivated organisms have occurred frequently in Korean coastal waters causing enormous losses to cultivating industry. The preventive measures require continuous observation of farm environment and real-time provision of data. However, line hanging aquaculture farm are generally located far from monitoring buoys and has limitations on installation of heavy equipments. Substituting battery pack for solar panels and miniaturizing size of buoy, newly developed system can be attached to long line hanging aquaculture farm. This system could deliver measured data to users in real-time and contribute to damage mitigation and prevention from mass mortalities as well as finding their causes. The system was installed off Gijang and Yeongdeck in Korea, measuring and transmitting seawater temperature at the sea surface every 30 minutes. Short term variation of seawater temperature, less than one day, in Gijang from June to July 2009 corresponded tidal period of about 12 hours and long term variation seemed to be caused by cold water southeast coast of Korea, particularly northeast of Gijang. Seawater temperature differences between Gijang station and the other station that is about 500 m away from Gijang station were $1^{\circ}C$ on average. This fact indicates that it is need to be pay attention to use substitute data even if it is close to the station. Daily range of seawater temperature, one of crucial information to aquaculture, can be obtained from this system because temperature were measured every 30 minutes. Averages of daily range of temperature off Gijang and Yeongdeok during each observation periods were about $2.9^{\circ}C$ and $4.7^{\circ}C$ respectively. Dominant period of seawater temperature variation off Yeongdeok was one day with the lowest peak at 5 a.m. and the highest one at 5 p.m. generally, resulting from solar radiation.

• 대기
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• 제20권3호
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• pp.247-260
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• 2010

A recent dramatic increase of natural hazards in the Korean peninsular (KP) due to typhoons have raised necessities for the accurate typhoon prediction. Ieodo ocean research station (IORS) has been constructed in June 2003 at the open ocean where typhoons pass frequently, aiming to observe typhoons before the landfall to the KP and hence to improve the prediction skill. This paper investigates the importance of measurements at the IORS in the typhoon research and forecast. Analysis of the best track data in the N. W. Pacific shows that about one typhoon passes over the IORS per year on the average and 54% of the KP-landfall typhoons during 59 years (1950-2008) passed by the IORS within the range of the 150-km radius. The data observed during the event of typhoons reveals that the IORS can provide useful information for the typhoon prediction prior to the landfall (mainland: before 8-10 hrs, Jeju Island: before 4-6 hrs), which may contribute to improving the typhoon prediction skill and conducting the disaster prevention during the landfall. Since 2003, nine typhoons have influenced the IORS by strong winds above 17m/s. Among them, the typhoon Maemi (0314) was the strongest and brought the largest damages in Korea. The various oceanic and atmospheric observation data at the IORS suggest that the Maemi (0314) has kept the strong intensity until the landfall as passing over warm ocean currents, while the Ewiniar (0603) has weakened rapidly as passing over the Yellow Sea Bottom Cold Water (YSBCW), mainly due to the storm's self-induced surface cooling. It is revealed that the IORS is located in the best place for monitering the patterns of the warm currents and the YSBCW which varies in time and space.