• Title/Summary/Keyword: 한반도해양

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Abnormal Water Temperature Prediction Model Near the Korean Peninsula Using LSTM (LSTM을 이용한 한반도 근해 이상수온 예측모델)

  • Choi, Hey Min;Kim, Min-Kyu;Yang, Hyun
    • Korean Journal of Remote Sensing
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    • v.38 no.3
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    • pp.265-282
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    • 2022
  • Sea surface temperature (SST) is a factor that greatly influences ocean circulation and ecosystems in the Earth system. As global warming causes changes in the SST near the Korean Peninsula, abnormal water temperature phenomena (high water temperature, low water temperature) occurs, causing continuous damage to the marine ecosystem and the fishery industry. Therefore, this study proposes a methodology to predict the SST near the Korean Peninsula and prevent damage by predicting abnormal water temperature phenomena. The study area was set near the Korean Peninsula, and ERA5 data from the European Center for Medium-Range Weather Forecasts (ECMWF) was used to utilize SST data at the same time period. As a research method, Long Short-Term Memory (LSTM) algorithm specialized for time series data prediction among deep learning models was used in consideration of the time series characteristics of SST data. The prediction model predicts the SST near the Korean Peninsula after 1- to 7-days and predicts the high water temperature or low water temperature phenomenon. To evaluate the accuracy of SST prediction, Coefficient of determination (R2), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE) indicators were used. The summer (JAS) 1-day prediction result of the prediction model, R2=0.996, RMSE=0.119℃, MAPE=0.352% and the winter (JFM) 1-day prediction result is R2=0.999, RMSE=0.063℃, MAPE=0.646%. Using the predicted SST, the accuracy of abnormal sea surface temperature prediction was evaluated with an F1 Score (F1 Score=0.98 for high water temperature prediction in summer (2021/08/05), F1 Score=1.0 for low water temperature prediction in winter (2021/02/19)). As the prediction period increased, the prediction model showed a tendency to underestimate the SST, which also reduced the accuracy of the abnormal water temperature prediction. Therefore, it is judged that it is necessary to analyze the cause of underestimation of the predictive model in the future and study to improve the prediction accuracy.

Geomagnetic Depth Sounding to Investigate the Trend of Electrical Conductivity in and around the Korean Peninsula (지자기 수직 탐사에 의한 한반도 주변의 전기전도도 구조)

  • 오석훈;양준모;이덕기;남재철
    • Economic and Environmental Geology
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    • v.35 no.5
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    • pp.437-444
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    • 2002
  • Geomagnetic depth sounding (GDS) was performed to analyze the characteristics of deep resistivity structure in and around the Korean Peninsula. The data that have 0.01 nT precision were collected from 5 geomagnetic observatories and measured every one or five second. In this study, amount of 16 days of geomagnetic data were used for analyzing. Generally the sea affects the GDS data seriously due to its high conductivity. However, though the Korean peninsula is surrounded by seas in three sides, the results given by induction arrow strongly show that the trend of electrical conductivity at neighborhood of the Korean Peninsula is reigned by some geological features. Also it is believed that observation in Jeju island is related with the electrical structure around the East China Sea.

Calculation and Monthly Characteristics of Satellite-based Heat Flux Over the Ocean Around the Korea Peninsula (한반도 주변 해양에서 위성 기반 열플럭스 산출 및 월별 특성 분석)

  • Kim, Jaemin;Lee, Yun Gon;Park, Jun Dong;Sohn, Eun Ha;Jang, Jae-Dong
    • Korean Journal of Remote Sensing
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    • v.34 no.3
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    • pp.519-533
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    • 2018
  • The sensible heat flux (SHF)and latent heat flux (LHF) over Korean Peninsula ocean during recent 4 years were calculated using Coupled Ocean-Atmosphere Response Experiment (COARE) 3.5 bulk algorithm and satellite-based atmospheric-ocean variables. Among the four input variables (10-m wind speed; U, sea surface temperature; $T_s$, air temperature; $T_a$, and air humidity; $Q_a$) required for heat flux calculation, Ta and $Q_a$, which are not observed directly by satellites, were estimated from empirical relations developed using satellite-based columnar atmospheric water vapor (W) and $T_s$. The estimated satellite-based $T_a$ and $Q_a$ show high correlation coefficients above 0.96 with the buoy observations. The temporal and spatial variability of monthly ocean heat fluxes were analyzed for the Korean Peninsula ocean. The SHF showed low values of $20W/m^2$ over the entire areas from March to August. Particularly, in July, SHF from the atmosphere to the ocean, which is less than $0W/m^2$, has been shown in some areas. The SHF gradually increased from September and reached the maximum value in December. Similarly, The LHF showed low values of $40W/m^2$ from April to July, but it increased rapidly from autumn and was highest in December. The analysis of monthly characteristics of the meteorological variables affecting the heat fluxes revealed that the variation in differences of temperature and humidity between air and sea modulate the SHF and LHF, respectively. In addition, as the sensitivity of SHF and LHF to U increase in winter, it contributed to the highest values of ocean heat fluxes in this season.

난중일기에 기록된 안편도로 추정되는 섬에 대한 연구

  • Go, Gwang-Seop;Kim, Deuk-Bong
    • Proceedings of KOSOMES biannual meeting
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    • 2018.06a
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    • pp.207-207
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    • 2018
  • 본 연구는 난중일기의 기록 중 이순신 장군이 명량해전 이후 한반도 서남해안을 항해하면서 조선수군의 새로운 본영을 물색하고, 명량해전 이후의 조선수군의 전략을 구상하던 장소로서 전시 임시 전략지휘소로서 의미가 큰 안편도(발음도)의 현재의 지명으로 추정되는 섬들 중 팔금도를 대상으로 항해 과학적 관점에서 조명하고 분석한 내용이다. 분석 결과 이순신 장군과 그의 참모들이 올라가 주변을 조망한 위치로 추정되는 섬 중의 하나인 팔금도의 채일봉과 금당산에서 관측한 방향이 난중일기에 기록된 내용과 일치하지 않은 부분이 많음을 확인하였다.

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해황 변동에 따른 대마난류계 꽁치 자원의 구조 및 분포

  • Gong, Young;Seo, Young-Sang
    • Proceedings of the Korean Society of Fisheries Technology Conference
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    • 2003.05a
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    • pp.136-137
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    • 2003
  • 동중국해로부터 동해(일본해)에 분포역을 가지는 대마난류계 꽁치자원은 해황에 따라 체장계급군이 추월 회류를 하는 모델이 개발되었다(Gong et al., 1983, 1985). 한편, 이 꽁치어군의 분포 밀도 및 어획량은 동해의 동측(일본측)보다 서측(한반도측)에서 높은 이유를 생산성, 해양구조 및 군집효과에 관련된다고 암시하였으나(공 과 이, 2001), 이 자원의 구조에 미치는 해황의 영향은 확실하게 설명되지 않았다. (중략)

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Shallow Water Spectral Wave Model : Application of SWAN-MAN Coupled Model for Coastal Area of Korean Peninsula (천해의 스펙트럼 해파 모형: SWAN-WAM 결합 모형의 한반도 해성에의 적용)

  • 최병호;김경옥;박상욱;엄현민;고진석;안성모
    • Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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    • 2002.08a
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    • pp.246-255
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    • 2002
  • 미육군 공병단이 해빈(근빈)의 해파예측을 위해 병렬적 CGWAVE(Pachang 과 Demirbilek, 1998) 및 STWAVE모형(Fahey와 Smith,2001)을 제시하는 반면 해군연구기금(Office of Naval Research)은 선진해파예측 연구를 쇄파대 외측의 해빈역 관측(SHOWEX)을 통해 수행하고 있는데 SWAN (Simulated Waves Nearshore) 모형을 중점적으로 적용하고 있다. (중략)

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Numerical Simulation of Tides of Gwangyang Bay Using Moving Boundary Treatment (이동경계를 고려한 광양만의 조석ㆍ조류 모의)

  • 민인기;오병철;전인식
    • Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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    • 2003.08a
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    • pp.158-163
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    • 2003
  • 한반도 서ㆍ남해안은 크고 작은 만과 해빈, 삼각주, 하구, 조간대 등 다양한 연안해역이 잘 발달 되어 있다 평균조차는 서해안 남부에서 약 3m로 북쪽으로 갈수록 증가하여 군산 부근에 6m, 인천 부근에서 약 8m에 달하며, 남해안의 평균조차는 부산 1.2m, 진해 2.1m, 충무 2.6m, 삼천포 3.0m, 여수 3.3m, 완도 3.5m, 목포 3.7m로 조석 간만의 차가 크게 나타나서 연안해역에 폭넓은 조간대가 형성되어 있다. (중략)

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황해중앙해역 및 한국남서해역 춘계해황의 연직구조

  • 김상현;노홍길;고준철;김병기;문승업
    • Proceedings of the Korean Society of Fisheries Technology Conference
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    • 2001.05a
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    • pp.269-270
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    • 2001
  • 황해는 수심이 대부분 l00m미만의 대륙붕으로 되어 있으며, 거대한 아시아대륙과 한반도로 둘러 쌓여 광대한 내만과 같은 지형으로 되어있다. 또한 주위의 육지에서 많은 양의 육수가 황해역으로 유입될 뿐만 아니라 수심이 말은 관계로 주위 대륙의 기후 변동에 따라 계절적으로 해황 변화가 심한 해역이다. 또한 황해와 연결되어 있는 한국남서해역은 황해역으로부터의 해황변화에 민감하게 반응하는 해역으로 이 해역에 대한 연구로는 서전(1924), 우전(1934)이후에 많은 연구가 수행되었으나, 아직까지 황해중부해역에서의 연직해황에 대한 수직구조나 이와 관련된 황해남부역에서의 수직적인 해양구조 등에 관한 연구는 수행되지 못하였다. (중략)

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The Marine Environmental Monitoring System in the Yellow Sea (황해의 해양환경 모니터링 시스템)

  • Heo, Seung;Park, Jong-Soo;An, Kyoung-Ho;Lee, Yoon;Choi, Ok-In;Lim, Dong-Hyun;Hwang, Woon-Ki;Lee, Seung-Min;Kim, Pyoung-Joong;Bang, Hyun-Woo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.16 no.3
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    • pp.307-312
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    • 2010
  • The West Sea Fisheries Research Institute of National Fisheries Research and Development Institute which is in charge of research on marine environment, fisheries resources and aquaculture carries out various monitoring projects with an aim of marine ecosystem conservation. The monitoring projects include costal oceanographic observation, serial oceanographic observation, fishing ground monitoring, national marine environmental monitoring, harmful algal bloom monitoring, Korea-China joint monitoring on the Yellow Sea and jellyfish monitoring. The monitoring produces basic data on fishing ground locations of main fishery species to improve fishery productivity. The data are also used to estimate variations in fisheries resources caused by climate change and to set up the policy for creating economic value from fishery, marine environmental conservation and marine leisure activities and conserving/controlling the marine environment for the sustainable production in the fishing ground.

Global Wanning Effect on Marine Environments and Measure Practices against Global Wanning (지구 온난화에 따른 해양환경 변화와 대책)

  • Kim, Do-Hee
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.16 no.4
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    • pp.421-425
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    • 2010
  • It has been mown that the global warming has an effectet on marine ecosystem and marine environments. Then, fisherman's activity and fishing production were decreased by changing of marine plankton composition and increasing of harmful marine organisms such as jellyfish, starfish and green laver bloom. Harmful red tides algae bloom and the deserted sea bottom often occurred due to increasing of sea water temperature and sea level rising in Korea. In this report, the cause and mechanism of the global warming phenomenon and it's effect on marine environment and marine ecosystem were introduced, and measures against global warming were suggested