• Title/Summary/Keyword: 해역 기상

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Persistence Analysis of Observed Metocean Data in the Southwest Coast in Korea (서남해안 연안 해양기상 관측자료의 지속시간 특성 분석)

  • Gi-Seop, Lee;Gyung-Sik, Seo;Hong-Yeon, Cho
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.34 no.6
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    • pp.303-314
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    • 2022
  • The persistence analysis of marine physical environment factors is a basic analysis that must precede the use of sea areas as an analysis required in the coastal engineering such as downtime and design. In this study, the persistence analysis was implemented for wind speed and significant wave height data from four observation points of Deokjeokdo, Oeyeondo, Geomundo, and Geojedo among the marine meteorological observation buoys of the Korea Meteorological Administration. The persistence time means the consecutive time of observation data beyond specific level. The threshold wind speed and significant wave height were set in the range of 1~15 m/s and the range of 0.25~3.0 m, respectively. Then, the persistence time was extracted. As a result of the analysis, the persistence time of wind speed and significant wave height decreased rapidly as the reference value increased. The median persistence times under the maximum reference thresholds were assessed as a maximum of 5 hours for wind speed and a maximum of 8 hours for significant wave height. When the reference wind speed and significant wave height were 15 m/s and 3 m, respectively, the persistence time that could occur with a 1% probability were 52 and 56 hours. This study can be expanded to all coastal areas in Korea, and it is expected that various engineering applications by performing a persistence analysis of the metocean data.

Warm Water Circulation and its Origin by Sea Level Fluctuation and Bottom Topography (해수면변화와 해저지형에 의한 난류수의 순환과 그 기원)

  • PARK Ig-Chan;OH Im Sang
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.28 no.5
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    • pp.677-697
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    • 1995
  • The analysis of long- period sea level variations with tidal record data around Korea, Japan, and Russia shows that about half of the variations are due to atmospheric influences. The sea level variation by water movements is the largest in the coasts along the Tsushima Current, and becomes smaller in the distant areas. It suggests that the sea level varications are related with the Tsushima Current. The effect of sea level variations to ocean circulation has been studied with a numerical model allowing barotropic sea level fluctuations, like the result with GCM (Semtner) model by Pang et al.(1993), the present model also shows that waters basically flow along isobaths over the last China Sea after geostyophic adjustment around Taiwan. However, barotropic sea level fluctuation makes the basic circulation in the Yellow Sea, which waters flow into the central Yellow Sea and out along the west coast of the Korean Peninsula. Besides this, barotropic sea level fluctuation makes long period waves over the shelf area as the Kuroshio varies. By the waves, the basic circulation in the Yellow Sea is disturbed, so that the flow pattern of oppositely flowing into the Yellow Sea along the west roast of the Korean Peninsula appears. In the Yellow Sea circulation, it seems that northwest winds strengthen the basic circulat ion In winter, and southeast winds strengthen the disturbed circulation in summer. Another point appeared by the long period wave is that the Tsushima Current possibly originates in different areas. There have been two opposing argues on the area in which the Tsushima Current originates the southwest sea of Kyushu Island and the adjacent sea of Taiwan. Through this study, we found that both of them seem to be important areas for the origin of the Tsushima Current, and one of them is possibly strengthened by long period waves. The long period waves given by the variation of the Kuroshio Current in the adjacent sea of Taiwan propagate to the Korea Strait as forced waves. The wave continuously propagates to the last Sea through the eastern channel, but reflects in the western channel due to bottom topography. The reflected waves propagate southwestward along the last China Sea as free waves and determine the sea level variations with forced waves.

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Application of InVEST Offshore Wind Model for Evaluation of Offshore Wind Energy Resources in Jeju Island (제주도 해상풍력 에너지 자원평가를 위한 InVEST Offshore Wind 모형 적용)

  • KIM, Tae-Yun;JANG, Seon-Ju;KIM, Choong-Ki
    • Journal of the Korean Association of Geographic Information Studies
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    • v.20 no.2
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    • pp.47-59
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    • 2017
  • This study aims to assess offshore wind energy resources around Jeju Island using the InVEST Offshore Wind model. First the wind power density around the coast of Jeju was calculated using reanalysis data from the Korean Local Analysis and Prediction System (KLAPS). Next, the net present value (NPV) for the 168MW offshore wind farm scenario was evaluated taking into consideration factors like costs (turbine development, submarine cable installation, maintenance), turbine operation efficiency, and a 20year operation period. It was determined that there are high wind resources along both the western and eastern coasts of Jeju Island, with high wind power densities of $400W/m^2$ calculated. To visually evaluate the NPV around Jeju Island, a classification of five grades was employed, and results showed that the western sea area has a high NPV, with wind power resources over $400W/m^2$. The InVEST Offshore Wind model can quickly provide optimal spatial information for various wind farm scenarios. The InVEST model can be used in combination with results of marine ecosystem service evaluation to design an efficient marine spatial plan around Jeju Island.

Seasonal Variation of Surface heat budget and Wind Stress Over the Seas Around the Korean Peninsula (한반도주위 해양에서 의 해면 열수지와 응력의 계절변화)

  • 강인식;김맹기
    • 한국해양학회지
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    • v.29 no.4
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    • pp.325-337
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    • 1994
  • The distributions of heat and momentum fluxes on the surface over the oceans around the Korean Peninsula are obtained based on the surface-layer flux model of Kim and Kang (1994), and their seasonal variations are examined in the present study. the input data of the model is the oceanatmosphere data with a grid interval of 2$^{\circ}$ in longitude and latitude. The atmosphere data, which are the pressure, temperature, and specific humidity on the 1000 mb level for 3 year period of 1985∼1987, are obtained from the European center for Medium Range Forecast. The sea surface temperature (SST) is obtained from National Meteorological Center (NMC). The solar insolation and longwave radiation on the ocean surface are obtained, respectively, from the NASA satellite data and based on an emprical formula. It is shown from the net heat flux that the oceans near Korea lose heat to the atmosphere in January and October with the rates of 200∼ 400 Wm/SUP -2/ and 100 Wm/SUP -2/, respectively. But the oceans are heated by the atmosphere in April and July with about the same rate of 100 Wm/SUP -2/. The annualmean net heat flux is negative over the entire domain except the northern part of the Yellow Sea. The largest annual-mean cooling rate of about 120 Wm/SUP -2/ is appeared off the southwest of Japan. In the East Sea, the annual-mean cooling rate is 60∼90 Wm/SUP -2/ in the southern and northern parts and about 30 Wm/SUP -2/ in the middle part. The magnitude of wind stress in january is 3∼ 5 times bigger than those of the other months. As a result, the spatial pattern of annual-mean wind stress is similar to that of January. It is also shown that the annual-mean wind stress curl is negative. in the East China Sea and the South Sea,but it is positive in the northern part of the Yellow Sea.In the East sea,the stress curl is positive in the southeast and northern parts and negative in the northwestern part.

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A Survey on Oil Spill and Weather Forecast Using Machine Learning Based on Neural Networks and Statistical Methods (신경망 및 통계 기법 기반의 기계학습을 이용한 유류유출 및 기상 예측 연구 동향)

  • Kim, Gyoung-Do;Kim, Yong-Hyuk
    • Journal of the Korea Convergence Society
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    • v.8 no.10
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    • pp.1-8
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    • 2017
  • Accurate forecasting enables to effectively prepare for future phenomenon. Especially, meteorological phenomenon is closely related with human life, and it can prevent from damage such as human life and property through forecasting of weather and disaster that can occur. To respond quickly and effectively to oil spill accidents, it is important to accurately predict the movement of oil spills and the weather in the surrounding waters. In this paper, we selected four representative machine learning techniques: support vector machine, Gaussian process, multilayer perceptron, and radial basis function network that have shown good performance and predictability in the previous studies related to oil spill detection and prediction in meteorology such as wind, rainfall and ozone. we suggest the applicability of oil spill prediction model based on machine learning.

Numerical Analysis of Wind Driven Current and Mesoscale Air Flow in Coastal Region with Land Topography (육상지형을 고려한 연안해역에서의 중규모 기상장과 취송류에 관한 수치해석)

  • Lee, Seong-Dae
    • Journal of Ocean Engineering and Technology
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    • v.20 no.5 s.72
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    • pp.23-29
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    • 2006
  • A quasi depth-varying mathematical model for wind-generated circulation in coastal areas, expressed in terms of the depth-averaged horizontal velocity components and free surface elevation was validated and used to understand the diurnal circulation process. The wind velocity is considered as a dominant factor for driving the current. In this paper, three-dimensional numerical experiments that included the land topography were used to investigate the mesoscale air flaw over the coastal regions. The surface temperature of the inland area was determined through a surface heat budget consideration with the inclusion of a layer of vegetation.A series of numerical experiments were then carried out to investigate the diurnal response of the air flaw and wind-generated circulation to various types of surface inhomogeneities.

레저선박의 안전항해를 위한 빅데이터 플랫폼 개발 기초연구

  • Kim, Tae-Ho;Gong, Gil-Yeong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2018.05a
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    • pp.308-310
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    • 2018
  • 국민의 해양활동 증가로 전체 선박사고의 약 86%가 연안에서 발생하고, 레저선박 등 중소형선박이 89%를 차지하고 있다. 선박 이용자는 복잡다양하게 증가하고 있으나, 해양안전의식이 부족하고 이에 맞는 안전관리대책이 필요하다. 레저선박 이용자의 안전항행 지원과 연안 및 마리나에서의 해양사고를 줄이기 위해 이용자가 이용하고 있는 각종 자료(기상정보, 항로정보, 마리나 정보, 주제도 등)와 해역이용자, 관제자의 의견을 반영한 해양기상, 항로정보, 안전정보, 레저 정보 등 종합적인 빅데이터를 가공하여 레저선박 이용자에게 꼭 필요한 전용항해안전 시스템 개발을 위한 기초 연구를 수행하고 있다.

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Statistical Analyses on the Relationships between Red Tide Formation and Meteorological Factors in the Korean Coastal Waters (한국 연안의 적조형성과 기상인자간의 관계에 대한 통계적 해석)

  • 윤홍주;서영상;정종철;남광우
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.4
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    • pp.926-932
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    • 2004
  • This study deals with the statistical analyses on the relationship between the red tide formation and the meteorological factors in the Korean coastal waters. From 1995 to 2002, the red tide was observed every year and the number of occurrences increased as well. The red tide mostly occurred in July, August, September and October. from multiple linear regression, the meteorological factors governing the mechanisms of the increase in the number of red tide occurrences are found to be a water temperature, rainfall, sunshine duration and wind velocity. But water temperature as the limited factor controlling the growth of phytoplankton (Cochlodinium polykrikoids) in 15∼$30^{\circ}c$. NO = 8.089 - 0.319WT + 0.019RF + 0.141SD + 0.l19WV (R = 0.897) in August NO = 7.531 - 0.327WT + 0.027RF + 0.208SD + 0.208WV (R = 0.894) in September Here, NO is the number of occurrence for red tide, WT is water temperature, RF is rainfall, SD is sunshine duration and WV is wind velocity, respectively. The necessary times till the day of red tide occurrence verse the day when water temperature reaches $15^{\circ}c$ are 78∼104 days, then it should be divided the coastal waters into 4 areas by the comparison among the accumulated sunshine duration, water temperature and rainfall as follows; the South West Coast (SW), South Middle Coast (SM), South East Coast(SE) and East South Coast (ES). The coastal areas that red tide occurs were complicated and various by change of marine environments. Usually red tide with a high concentrations (individual number, cells/ml) appeared in SM and SE. It was found that the general situations for the frequencies of red tide formation are mainly concentrated to 24.5∼$25^{\circ}c$ (high water temperature) and eve. 1000 cells/ml (high individual number) such as the category of red tide warning.

해운항만청의 파랑 관측 시스템 현황과 천해 국지 파랑 산출 시스템 구축 방안

  • 연영진;박광순;이동영
    • Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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    • 1992.08a
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    • pp.99-99
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    • 1992
  • 해운항만청은 1986년 파랑관측업무 개선 방안을 마련하여 표준 파랑관측망과 국지 파랑 모니터링 시스템으로 구분하여 표준파랑관측망은 1987년부터 시작하여 단계적으로 설치하여 1991년에 거의 완성 단계에 이르렀다. 이 표준파랑관측 시스템은 넓은 해역을 대표할 수 있는 곳에서 원칙적으로 파향스펙트럼을 실시간으로 모니터링하는 시스템으로 현장관측 기기와 실시간 자료전달 시스템과 중앙자료센타로 구성되어 그 자료는 해운항만청, 기상청, 수산청, 해양경찰청, 해군, 내무부, 대하 및 연구기관과 해양산업체에서 다목적으로 활용하고 있다.(중략)

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동해고유수가 내만 수괴의 연직구조에 미치는 영향

  • 윤한삼;류청로;이인철;김헌태
    • Proceedings of the Korean Society of Fisheries Technology Conference
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    • 2003.05a
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    • pp.164-165
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    • 2003
  • 본 연구는 영일만 만내 수괴의 거동에 영향을 미칠 것으로 판단되는 가용 강우량, 증발량, 바람 등 기상조건의 영향을 검토ㆍ분석하고, 그림 1의 영일만 정선해양관측의 수온ㆍ염분 자료와 연안정지 수온관측자료를 수집ㆍ분석하여 영일만 해역에서의 동해 고유수와 만내 연안수와의 혼합과정을 규명하고자하였다. 이를 통해 영일만수괴의 만내 연안수와 동해 고유수와의 상호관련성과 만내 해수의 수평ㆍ연직순환류 발생 메카니즘에 대해서 고찰하고자 하였다. (중략)

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