본 연구에서는 전장이 400m인 24,000TEU급 컨테이너선박을 대상으로 선박 내 빌지펌핑의 성능에 대한 케이스 스터디를 수행하 였다. 본 연구의 대상인 24,000TEU급 컨테이너선박의 빌지시스템의 경우 선급의 규칙에 맞게 설계되었지만, 선박 내 설치되어 있는 빌지펌 프의 정격유량 및 최대유량 조건에서도 SOLAS Reg.II-1/35-1의 2 m/s 요건을 만족시키지 못하였다. 특히 1번 ~ 4번 화물창에 대해, 해수로 가득차 있다고 가정한 상태에서 해수를 모두 배출하는 동안에 빌지 주관에서의 평균유속을 계산할 결과, 2번 화물창, 3번 화물창 및 4번 화물창은 평균유속이 2 m/s 미만으로 기준에 적합하지 않은 것으로 나타났다. 본 연구에서는 이를 해결하기 위해 2번, 3번 및 4번 화물창의 150A 빌지 지관을 200A 배관으로 교체하여 계산을 수행하였으며, 그 결과 화물창 내의 해수를 모두 배출하는 동안의 빌지 주관에서의 해 수평균유속이 각각 2.479m/s , 2.476,m/s 및 2.459m/s 로 기준을 만족시키는 것을 알 수 있었다.

Indoor air environments for people are recently being observed because the time we spend inside the house or a building throughout the day has been extended during the present circumstances. This is why formaldehyde and volatile organic compounds (VOCs) are regulated, which can cause Sick Building Syndrome (SBS). There might be other VOCs not regulated by law in newly built collective housing, however, in order to compensate for the reduced concentration of regulated VOCs such as benzene, toluene, ethylbenzene, xylene, and styrene. In this study, the concentration of unregulated VOCs in newly built collective housing structures located in the Seoul Special City was researched to find potential indoor hazards for citizens and to prepare basic data for further research.

분리막은 해수담수화를 포함한 수처리 분야에 폭 넓게 사용되고 있으며, 현장 적용을 위해서는 분리막의 모듈 적용은 필수적이다. 본 발표는 막 모듈 최적화 연구를 통해 해수담수화용 분리막 모듈의 성능저하 요인 분석을 분석하고 모듈 최적화 방향을 제시하고자 한다. 분리막 모듈 최적화 연구 진행을 위해 전산유 체역학과 이동현상 모델을 도입하였다. 이를 바탕으로 유한요소법을 이용하여 해수담수화 막 모듈 모델을 개발하였다. 개발된 모델을 기반으로 해수담수화용 막 모듈 형태에 따른 모듈 내 유체 거동 및 위치에 따른 성능 분포를 계산하였다. 본 연구를 통해 해수담수화 막 모듈 모델을 개발하였으며, 이를 기반으로 다양한 형태의 모듈 내 성능 분포를 도출하였다. 본 연구는 막 모듈 성능 분석 및 개선에 활용될 수 있다.

한반도 하늘소과의 미기록 Parechthistatus속을 처음 확인하고, Parechthistatus gibber (Bates)의 한반도 분포를 보고한다. 성충 및 유충의 사진 및 서식처 등 형태학적 정보와 생태학적 정보를 함께 제공한다.

엘니뇨현상과 관련된 해양 아표층 변동성을 조사하기 위해 1980년부터 2004년까지의 적도 해역의 20도 등온선 깊이(Z20)와 난수질량(WWV) 자료를 분석하였다. 주성분 분석, 합성 분석 및 교차상관 분석 결과, 아표층 시계열 자료는 Nino3.4 SST와 유의미한 시간 지연을 가지고 강한 상관성을 보였다. 이 결과는 아표층 해양 변수가 엘니뇨현상에 유용한 예측 인자임을 시사한다. 분석된 결과를 근거로 1996년부터 2004년까지 Nino3.4 SST를 예측하기 위해 신경망 예측 모델을 구성하였다. 해상풍을 입력 자료로 사용하였을 경우 보다 WWV를 적용하였을 때 3개월 이하의 단기 예측을 제외하고 모든 예측 시간에서 더 우수한 예측력을 보였으며, 5-8개월의 예측에 있어서는 기존의 여러 통계 모델 결과보다 예측 성능이 우수함을 확인하였다.

대표적인 엘니뇨 지수인 태평양 Nino 해역의 표층 수온을 예측하기 위해 비선형 통계모델 중의 하나인 신경망 기법을 적용하였다. 신경망 모델 학습 과정의 입력 자료로 1951년부터 1993년까지의 태평양 해역(120˚ E, 20˚ S-20˚ N) NCEP/NCAR의 재분석 표층 수온 편차의 경험적 직교함수 7개 주모드를 사용하였고, 그 중 1994년부터 2003년까지의 10년 결과를 분석하였다. 모든 해역에서의 9개월까지의 신경망 모델의 예측력은 비교적 우수하였으며, 특히 1997년과 1998년의 강한 엘니뇨의 발달 및 소멸도 잘 예측함을 확인할 수 있었다. 해역별로는 Nino3 지역의 예측성능이 가장 높았으며, 9개월 이후부터는 그 예측력이 급격히 감소하였다. 한편 지역적인 영향이 커 예측력이 낮은 동태평양 연안의 Nino1+2 지역은 9개월 이후에도 예측력의 감소가 관찰되지 않았다.

상층과 하층의 대기구조 특성을 알아내기 위하여, 해양의 특성을 잘 표현한다고 사료되는 섬(충남 보령시 오천면 외연도리)을 관측지점으로 선택하여 라디오존데를 이용하여 대기의 연직구조를 관측하였다. 관측결과를 이용하여, 저 고기압이 통과할 때의 상대습도, 기온과 바람의 변화를 분석하였으며 각각의 경우에 대해 결과치들을 비교하였다. 해양과 육상에서의 대기구조를 비교하기 위하여 오산의 관측 결과를 분석하였다. 그 결과, 상대습도가 고 저기압의 통과에 따라 변화함을 알 수 있었다. 즉, 저기압이 다가올 때는 상대습도는 하층보다 상층에서 먼저 증가하였으나 고기압이 다가올 때는 상층에서 10%까지 급격하게 감소하였다. 또, 상대습도 변화폭이 육상에서보다 큰 것으로 분석되었다. 앞으로 해양과 육상에서의 수증기간의 관계를 계절별, 그리고 일별로 동시간 관측을 통해 찾고자 한다.

Quality control of Argo(Array for Real-time Geostrophic Oceanography) data is crucial by reason that salinity measurements are liable to experience some drift and offset due to biofouling, contamination of sensor and wash-out of biocide. The automated Argo real-time quality control has a limit of sorting data quality, so that WJO program is adopted as standardized method of Argo delayed mode quality control (DMQC) in the world that is a precise quality control method. We conducted DMQC on pressure, temperature and salinity measured by Argo floats in the Pacific Ocean including expert evaluation. Particularly, salinity data were corrected using WJO program. 4 salinity profiles of Argo delayed mode were compared with nearby in situ CTD data and other Argo data in deep layer where oceanographic conditions are stable in time and space. The differences of both salinities were lower than target accuracy of Argo. As compared with the difference of salinities before DMQC, those after DMQC decreased by 60-80 percent. Quality of delayed mode salinity data seemed to be improved correcting salinity data suggested by WJO program.

We employed two data assimilation techniques including MM5 Four Dimensional Data Asssimilation (FDDA) and Local Analysis and Prediction System (LAPS) to find out the effects of the changed initial conditions on the wind fields simulation according to the objective analysis methods. We designed 5 different modeling cases. EXP B used no data assimilation system. Both EXP F1 using surface observations and EXP F2 with surface and upper-air observations employed MM5 FDDA. EXP L1 using surface observations and EXP L2 with surface and upper-air observations used LAPS. As results of, simulated wind fields using MM5 FDDA showed locally characterized wind features due to objective analysis techniques in FDDA which is forcefully interpolating simulated results into observations. EXP F1 represented a large difference in comparison of wind speed with EXP B. In case of LAPS, simulated horizontal distribution of wind fields showed a good agreement with the patterns of initial condition and EXP L1 showed comparably lesser effects of data assimilation of surface observations than EXP F1. When upper-air observations are applied to the simulations, while MM5 FDDA could hardly have important effects on the wind fields simulation and showed little differences with simulations with merely surface observations (EXP F1), LAPS played a key role in simulating wind fields accurately and it could contribute to alleviate the overestimated winds in EXP L1 simulations.

We focus on the improvement of accuracy of sea surface wind over complex coastal area during the warm season. Local Analysis Prediction System (LAPS) was used to improve the initial values in Mesoscale Meteorological model (MM5). During the clear summer days with weak wind speed, sea surface wind simulated with LAPS was compared with the case without LAPS. The results of modeling with LAPS has a good agreement mesoscale circulation such as mountain and valley winds on land and in case of modeling without LAPS, wind speed overestimated over the sea in the daytime. And the results of simulation with LAPS indicated similar wind speed values to observational data over the sea under influence of data assimilation using BUOY, QuikSCAT, and AMEDAS. The present study suggests that MM5 modelling with LAPS showed more improved results than that of without LAPS to simulate sea surface wind over the complex coastal area.

We focused on improvement in simulation of wind fields for the complex coastal area. Local Analysis and Prediction System(LAPS) was used as a data assimilation method to improve initial conditions. Case studies of different LAPS inputs were performed to compare improvement of wind fields. Five cases have been employed : Ⅰ) non data assimilation, Ⅱ) all available data, Ⅲ) AWS, buoy, QuikSCAT, Ⅳ) AWS, buoy, wind profiler, Ⅴ) AWS, buoy, AMEDAS. Data assimilation can supplement insufficiency of the mesoscale model which does not represent detailed terrain effect and small scale atmospheric flow fields. Result assimilated all available data showed a good agreement to the observations rather than other cases and estimated well the local meteorological characteristics including sea breeze and up-slope winds. Result using wind profiler data was the next best thing. This implies that data assimilation with many high-resolution sounding data could contribute to the improvements of good initial condition in the complex coastal area. As a result, these indicated that effective data assimilation process and application of the selective LAPS inputs played an important role in simulating wind fields accurately in a complex area.

The southeastern coastal area of the Korean peninsula has a complex terrain including an irregular coastline and moderately high mountains. This implies that mesoscale circulations such as mountain-valley breeze and land-sea breeze can play an important role in wind field and ocean forcing. In this study, to improve the accuracy of complex coastal wind field(surface wind and sea surface wind), we carried out the sensitivity experiments based on PBL schemes in PSU/NCAR Mesoscale Model (MM5), which is being used in the operational system at Korea Meteorological Administration. Four widely used PBL parameterization schemes in sensitivity experiments were chosen: Medium-Range Forecast (MRF), High-resolution Blackadar, Eta, and Gayno-Seaman scheme. Thereafter, case(2004. 8. 26 - 8. 27) of weak-gradient flows was simulated, and the time series and the vertical profiles of the simulated wind speed and wind direction were compared with those of hourly surface observations (AWS, BUOY) and QuikSCAT data. In the simulated results, the strength of wind speed of all schemes was overestimated in complex coastal regions, while that of about four different schemes was underestimated in islands and over the sea. Sea surface wind using the Eta scheme showed the highest wind speed over the sea and its distribution was similar to the observational data. Horizontal distribution of the simulated wind direction was very similar to that of real observational data in case of all schemes. Simulated and observed vertical distribution of wind field was also similar under boundary layer(about 1 km), however the simulated wind speed was underestimated in upper layer.

In this study, we focused on the improvements in the simulation of sea surface wind over the complex coastal area. MM5 model being currently used to predict sea surface wind at Korea Meteorological Administration, was used to verify the accuracy to estimate the local wind field. A case study was performed on clear days with weak wind speed(4 m/s), chosen by the analysis of observations. The model simulations were conducted in the southeastern area of Korea during the selected periods, and observational data such as AWS, buoy and QuikSCAT were used to compare with the calculated wind components to investigate if simulated wind field could follow the tendency of the real atmospheric wind field. Results showed that current operational model, MM5, does not estimate accurately sea surface wind and the wind over the coastal area. The calculated wind speed was overestimated along the complex coastal regions but it was underestimated in islands and over the sea. The calculated diurnal changes of wind direction could not follow well the tendency of the observed wind, especially at nighttime. In order to exceed the limitations, data assimilation with high resolution data and more specificated geographical information is expected as a next best policy to estimate accurately the environment of local marine wind field.

As prevailing synoptic scale westerly wind blowing over high steep Mt. Taegulyang in the west of Kangnung coastal city toward the Sea of Japan became downslope wind and easterly upslope wind combined with both valley wind and sea breeze(valley-sea breeze) also blew from the sea toward the top of the mountain, two different kinds of wind regimes confronted each other in the mid of eastern slope of the mountain and further downward motion of downlsope wind along the eastern slope of the mountain should be prohibited by the upslope wind. Then, the upslope wind away from the eastern slope of the mountain went up to 1700m height over the ground, becoming an easterly return flow in the upper level of the sea. Two kinds of circulations were detected with a small one in the coastal sea and a large one from the coast toward the open sea. Convective boundary layer was developed with a thickness of about 1km over the ground in the upwind side of the mountain in the west, while a thickness of thermal internal boundary layer(TIBL) from the coast along the eastern slope of the mountain was only confined to less than 200m. After sunset, under no prohibition of upslope wind, westerly downslope wind blew from the top of the mountain toward the coastal basin and the downslope wind should be intensified by both mountain wind and land breeze(mountain-land breeze) induced by nighttime radiative cooling of the ground surfaces, resulting in the formation of downslope wind storm. The wind storm caused the development of internal gravity waves with hydraulic jump motion bounding up toward the upper level of the sea in the coastal plain and relatively moderate wind on the sea.