• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.5
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• pp.519-526
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• 2019

This study proposes a methodology for estimating the appropriate capacity of anchorage for ports requiring the establishment of waiting anchorage and then applying the methodology to the ports in Jinhae Bay to compare it with the anchorage capacity of major ports in Korea. To estimate the appropriate anchorage capacity, the "Anchorage Capacity Index" was used, which was calculated from the "Total Gross Tonnage" and "Simultaneous Anchoring Capacity". The calculations were made according to the anchorage capacity index of 0.89 of the target harbors. The adequate anchorage capacity index for the new waiting anchorage was analyzed at a level of 6.0. If the concept of anchorage capacity index suggested in this study is reflected as a new design criteria of waiting anchorage, it will be helpful for the safety of berth, safety of anchorage and effective operation of harbor.

• The Magazine of the IEIE
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• v.31 no.6
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• pp.96-109
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• 2004

해수의 물리적 성질은 수온, 염분 그리고 밀도 등으로 특성 지워지며 이러한 특성들의 시공간적인 분포 파악은 해수의 유동, 해양-대기 상호작용 및 해수자원 분포 파악 등에 필수적인 요소로 해양학 연구의 기본 관측 항목이 된다.(중략)

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2000.11a
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• pp.332-333
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• 2000

대기 중에서의 PCBs의 거동은 지표에서부터 자연수계까지 PCBs의 순환의 중요한 이동경로가 된다. 이전의 연구에 의하면 Superior, Huron, Michigan 호수에 유입되는 55∼90%, Erie, Ontario 호수에 유입되는 7∼l3%의 PCBs가 대기에서 기원이 되었으며 멀리 떨어진 해양지역 PCBs 오염의 주 오염원이 대기라고 추정되었다(Holsen, 1991). 대기 중에서 PCBs는 기체상과 비산된 입자에 흡착된 상태로 존재하며 건식 및 습식침착(deposition)으로 지표나 수중에 유입되어 잔류하다가 먹이사슬에 의해 결국에는 인간에게까지 영향을 미치게 된다. (중략)

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.293-294
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• 2017

대기-해양-천문 수치 모델은 주로 3차원 모델이고, 3차원적 해석을 위해서는 사용자가 쉽게 접근하고 사용할 수 있는 3차원 과학적 가시화 도구가 필요하다. 이러한 요구에 대응하기 위하여 무료/오픈소스 기반의 3차원 과학적 가시화 도구인 VAPOR가 사용자 친화적인 방향으로 개발되고 있다. VAPOR는 대기모델 WRF, CAM, GRIMs, 해양모델 MOM4, POP, ROMS의 직접 가시화가 가능하며, VAPOR 자료 형식 변환 과정을 통하여 천문 분야 모델(RAMSES) 가시화도 가능하다. 매년 개발을 통하여, VAPOR는 사용자가 많이 사용하는 일반적인 2, 3차원 표출 기능과 단순 통계 기능을 제공하게 되었으며, 향후 다중 모델 동시 표출 기능도 제공할 계획이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.292-293
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• 2022

본 논문에서는 무선센서네트워크 기반의 연안·해양 환경모니터링 시스템을 이용해 연안·해양지역의 대기환경 정보는 물론 수질 환경의 정보를 측정하여 모니터링하였다. 연안 및 해양 환경의 모니터링을 위해 고려된 해양 센서를 사용하여 무선 센서 네트워크를 이용하여 온도, 습도, 조도, 기압, 이슬점의 대기환경 정보와 용존산소량(DO), 수소이온지수(pH), 수온 등의 수질환경 정보를 측정한 후 측정된 환경 정보를 베이스스테이션으로 전송하고 모니터링 하도록 하였다. 환경 정보를 전송할 때 정확하고 신속한 전송을 위하여 데이터 전달 확률이 높은 여러 라우팅 프로토콜 전송방식을 이용하여 전달하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.118-127
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• 2021

Recently, the public's interest in the air environment has increased, and public health is threatened by fine particulate matter. Furthermore, the government continues efforts to improve air quality by expanding the monitoring of air pollutants and reinforcing environmental standards. Since air quality differs depending on the region in the Korean Peninsula, it is currently necessary to identify the cause and search for influencing factors. In this study, the atmospheric environment and regional differences in cities located in the Chungnam Province were observed. As a research method, regression analysis was performed for weather conditions, such as temperature, wind speed, precipitation, and season and targeted at air pollutants, such as SO₂, NO₂, CO, O₃, PM₁₀, and PM_2.5, as well as heavy metals contained in particulate matter, such as Pb, Cd, Cr, Cu, Ni, As, Mn, Fe, Al, Ca, and Mg. In the case of PM₁₀, the concentrations of Mn(0.4884) in Cheonan, CO(0.3329) in Dangjin, and Mg(0.5691) in Seosan were highest. In the case of PM_2.5, Cheonan NO₂(0.4759), Dangjin CO(0.4128), and Seosan NO₂(0.3715) were significantly affected. In summary, the influencing factors vary according to the region in Chungnam province in terms of air quality, and there is a difference in the degree of contribution. Therefore, it is considered that the Korean government's management of air quality is required for each region.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.3 no.1
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• pp.9-15
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• 1998

Hourly meteorological data from a marine buoy ($34^{\circ}49'00"N$, $125^{\circ}46'00"E$) operated by the Korean Meteorological Agency were obtained from July, 1996 to February, 1997. From the data air-sea heat fluxes and marine meteorological characteristics around the area are estimated. The maximum outflux of sensible heat from the sea surface occurred in January (monthly mean value, 12.6 $Wm^{-2}$ and the maximum influx to the sea occurred in July (monthly mean value, 5.5 $Wm^{-2}$). This means that the sea is heated in summer while it loses its heat in winter, and that there is inequality between the absolute values of the two seasons. The outflux of the maximum latent heat occurred in November (monthly mean value, 86.5 $Wm^{-2}$) and reach a value of 300 $Wm^{-2}$, and the maximum influx occurred in July (monthly mean value, 4.6 $Wm^{-2}$). Big difference is shown in their absolute values when the wind becomes strong. The outgoing latent heat flux reaches its maximum in autumn, and it maintains the high value through the whole winter. According to the wave data analysis, the significant wave heights are larger in winter than in summer. The periods of the significant waves are 4~6 sec. In winter, waves propagated from north and northeast are dominant because of the winter monsoon, while in summer waves from south, southwest, and west are relatively frequent.

• Journal of the Korean earth science society
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• v.40 no.6
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• pp.584-598
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• 2019

In this study, the effects of air-sea interactions on precipitation over the Seoul-Gyeonggi region of the Korean Peninsula from 28 to 30 August 2018, were analyzed using a Regional atmosphere-ocean Coupled Model (RCM). In the RCM, a WRF (Weather Research Forecasts) was used as the atmosphere model whereas ROMS (Regional Oceanic Modeling System) was used as the ocean model. In a Regional Single atmosphere Model (RSM), only the WRF model was used. In addition, the sea surface temperature data of ECMWF Reanalysis Interim was used as low boundary data. Compared with the observational data, the RCM considering the effect of air-sea interaction represented that the spatial correlations were 0.6 and 0.84, respectively, for the precipitation and the Yellow Sea surface temperature in the Seoul-Gyeonggi area, which was higher than the RSM. whereas the mean bias error (MBE) was -2.32 and -0.62, respectively, which was lower than the RSM. The air-sea interaction effect, analyzed by equivalent potential temperature, SST, dynamic convergence fields, induced the change of SST in the Yellow Sea. In addition, the changed SST caused the difference in thermal instability and kinematic convergence in the lower atmosphere. The thermal instability and convergence over the Seoul-Gyeonggi region induced upward motion, and consequently, the precipitation in the RCM was similar to the spatial distribution of the observed data compared to the precipitation in the RSM. Although various case studies and climatic analyses are needed to clearly understand the effects of complex air-sea interaction, this study results provide evidence for the importance of the air-sea interaction in predicting precipitation in the Seoul-Gyeonggi region.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.3 no.1
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• pp.16-24
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• 1998

In this study, Ocean General Circulation Model (OGCM) has been developed as a counterpart of Atmospheric General Circulation (AGCM) for the study of coupled ocean-atmosphere climate system. The oceanic responses to given atmospheric boundary conditions have been investigated using the OGCM. In an integration carried out over 100 simulated years with climatological monthly mean data (EXP 1), most parts of the model reached a quasi-equilibrium climate reproducing many of the observed large-scale oceanic features remarkably well. Some observed narrow currents, however, such as North Equatorial Counter Current, were inevitably distorted due to the model's relatively coarse resolution. The seasonal changes in sea ice cover over the southern oceans around Antarctica were also simulated. In an experiment (EXP 2) under boundary condition of 10-year monthly data (1982-1991) from NCEP/NCAR Reanalysis Project model properly reproduced major oceanic changes during the period, including El Ni$\tilde{n}$os of 1982-1983 and 1986-87. During the ENSO periods, the experiment showed eastward expansion of warm surface waters and a negative vertical velocity anomalies along' the equator in response to expansion of westerly current velocity anomalies as westerly wind anomalies propagated eastward. Simulated anomalous distribution and the time behavior in response to El Ni$\tilde{n}$o events is consistent with that of the observations. These experiments showed that the model has an ability to reproduce major mean and anomalous oceanic features and can be effectively used for the study of ocean-atmosphere coupling system.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.84-85
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• 2023

자율운항선박은 인공지능, 센서 및 통신 기술을 활용하여 스스로 운항하는 선박으로, IMO 자율화등급 3단계 이상의 자율운항선박을 개발하여 선원의 개입을 최소화하기 위해 많은 연구가 진행 중이다. 항만에서는 스마트항만을 위한 연구와 함께 자율운항선박과 스마트항만간 연계를 통한 운항 효율성 향상이 주목받고 있다. 운항 효율성 향상을 위해 과거 항적 데이터 및 항만 Port-mis 데이터를 활용한 입출항 지원 연구가 진행되면서 자율운항선박이 통항량이 적은 시간에 항만에 도착할 수 있도록 스케쥴링 계획 및 이에 따른 전역경로 생성 연구가 진행되고 있다. 본 연구에서는 입출항 스케쥴링을 통해 자율운항선박 전역경로가 생성되어 운항 중 급작스런 통향량 증가나 다른 외부요인으로 인해 정박지에서의 대기가 필요한 경우 정박지 대기를 고려한 자율운항선박의 전역경로를 생성에 대한 고려사항을 연구하였다.