• 한국환경과학회지
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• 제25권1호
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• pp.163-171
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• 2016

We analyzed the characteristics of fog formation in the Gumi Reservoir of Nakdong river with the field observation data for recent 2 years (1 April 2013~31 March 2015) collected by the national institute of meteorological research, KMA. In early morning, we frequently observe the steam rising from the water surface. The fog occurs from adding water vapor into the air. We call the fog as steam fog. Steam fogs occur when cold, dry air mixes with warm, moist air above a water surface. The steam fog appears mainly in autumn under the following conditions; (1) sensible heat is positive values ($10{\sim}20W/m^2$), (2) latent heat is more positive values ($25{\sim}35W/m^2$) than sensible heat, (3) cloudless nights with light winds (about 1.5 m/s), (4) under condition(3), mountainous winds easily blows into the reservoir.

• 한국항공운항학회지
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• 제25권1호
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• pp.1-10
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• 2017

A heavy foggy event accompanying with complex coastal fog was investigated in this study. This heavy foggy event occurred on FEB 11, 2015. Due to reduced visibility with this foggy event induced more than 100times serial traffic accidents over the Young-jong highway, and Flights from 04:30 AM to 10:00 AM were cancelled on Inchon International Airport. This heavy foggy event was occurred in synoptic and mesoscale environments but dense coastal fog were combined with a combination of sea fog, steam fog, and radiation fog. This kind of coastal fog can predicted by accurate analysis of the direction of the air flow, sea surface temperature(SST), and 925hPa isotherms from numerical weather prediction charts and real time analysis charts.

• 한국환경과학회지
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• 제25권3호
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• pp.405-415
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• 2016

We analyzed the micro-meteorological characteristics during typical steam fog over the Gumi Reservoir of Nakdong river with the field observation data for recent 2 year(1 April 2013~31 March 2015) collected by the national institute of meteorological research, KMA. Steam fog occur when the cold drainage flows over the warm water surface. As the sensible and latent heat from water are provided to the air, the instability of lower atmosphere is increased. The resultant vertical mixing of warm, moist air near water surface and cold air aloft causes the formation of status cloud. The convection strengthened by radiative cooling of the upper part of the stratus causes the fog to propagate downward. Also, the temperature at the lowest atmosphere is increased rapidly and the inversion near surface disappear by these processes when the fog forms. The increase of wind speed is observed because the downward transportation of momentum is caused by vertical mixing.

• 한국해양학회지:바다
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• 제8권2호
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• pp.121-131
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• 2003

동해안에서 지난 20년 동안 발생한 월별 안개 발생빈도와 지속시간 분석에 의하면 1월, 2월, 11월, 12월의 안개 발생빈도는 거의 전무함을 알 수 있다. 이 현상은 태백산맥으로부터 동쪽으로 경사를 이루어 복사 안개의 발생이 어려운 지형 특징을 가지고 있기 때문으로 사료된다. 반면에 안개발생빈도의 90%이상을 차지하는 봄, 여름철의 안개 발생 원인은 크게 3가지로 분류된다. 첫 번째는 증기해무로서 오호츠크해 고기압의 확장으로 찬 북동기류가 동해상으로 이류하여 발생한다. 두 번째는 이류해무로서 따뜻한 기단이 상대적으로 찬 해수면 위로 이류하여 냉각, 포화되어 발생한다. 세 번째는 전선해무로써 저기압이 동해상으로 이동하여 수증기가 공급된 상태에서 한랭 전선 후면의 찬공기가 이류하면서 발생한다 한편, 해상풍, 상대습도, 운저고도, 시정 등의 예측과 동해 해역의 수직단면에서 안개 예측이 가능한 해무예측시스템(DUT-METRI)을 구축하여 사례기간의 해무를 모사하였, 위성자료로부터 이를 검증하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.294-297
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• 2007

Steam and advection fogs are frequently observed in the Yellow Sea located between Korea and China during the periods of March-April and June-July respectively. This study uses the remote sensing (RS) data for monitoring sea fog. Meteorological data obtained from the Ieodo Ocean Research Station provided an informative synopsis for the occurrence of steam and advection fogs through a ground truth. The RS data used in this study was GOES-9, MTSAT-1R images and QuikSCAT wind data. A dual channel difference (DCD) approach using IR and near-IR channel of GOES-9 and MTSAT-1R satellites was applied to estimate the extension of the sea fog. For the days examined, it was found that not only the DCD but also the texture-related measurement and the weak wind condition are required to separate the sea fog from the low cloud. The QuikSCAT wind is used to provide a weak wind area less than threshold under stable condition of the surface wind around a fog event. The Laplacian computation for a measurement of the homogeneity was designed. A new combined method of DCD, QuikSCAT wind speed and Laplacian was applied in the twelve cases with GOES-9 and MTSAT-1R. The threshold values for DCD, QuikSCAT wind speed and Laplacian are -2.0 K, 8 m $s^{-1}$ and 0.1, respectively. The validation methods such as Heidke skill score, probability of detection, probability of false detection, true skill score and odds ratio show that the new combined method improves the detection of sea fog rather than DCD method.

• 대한원격탐사학회지
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• 제24권1호
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• pp.1-16
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• 2008

Steam and advection fogs are frequently observed in the Yellow Sea from March to July except for May. This study uses remote sensing (RS) data for the monitoring of sea fog. Meteorological data obtained from the Ieodo Ocean Research Station provided a valuable information for the occurrence of steam and advection fogs as a ground truth. The RS data used in this study were GOES-9, MTSAT-1R images and QuikSCAT wind data. A dual channel difference (DCD) approach using IR and shortwave IR channel of GOES-9 and MTSAT-1R satellites was applied to detect sea fog. The results showed that DCD, texture-related measurement and the weak wind condition are required to separate the sea fog from the low cloud. The QuikSCAT wind data was used to provide the wind speed criteria for a fog event. The laplacian computation was designed for a measurement of the homogeneity. A new combined method, which includes DCD, QuikSCAT wind speed and laplacian computation, was applied to the twelve cases with GOES-9 and MTSAT-1R. The threshold values for DCD, QuikSCAT wind speed and laplacian are -2.0 K, $8m\;s^{-1}$ and 0.1, respectively. The validation results showed that the new combined method slightly improves the detection of sea fog compared to DCD method: improvements of the new combined method are $5{\sim}6%$ increases in the Heidke skill score, 10% decreases in the probability of false detection, and $30{\sim}40%$ increases in the odd ratio.

• 한국지구과학회지
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• 제38권6호
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• pp.395-404
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• 2017

본 연구에서는 구미에 위치한 낙동강에서 발생한 안개를 분류하였고 안개 발생 전후의 기상특성을 분석하였다. 안개는 2013년부터 2015년까지 시정계를 이용하여 관측되었다. 안개는 총 74회 발생하였고 대부분 증기안개로 분류되었다. 관측된 증기 안개는 내륙에서 발생한 안개보다 지속시간이 길게 나타났는데 이는 지형적 특징으로 인해 야간 증발이 다른 지역보다 강하게 나타났기 때문이다. 안개 지속시간에 대한 하천 증발 효과를 분석하기 위해 Penman-Monteith(Penman법)와 Bulk aerodynamic (Bulk법) 방법을 사용하여 증발량을 추정하였다. 이 중 Bulk법은 실제 수면에서 측정한 증발량과 유사하게 나타났다. 따라서 Bulk법이 실제 수면 증발량 추정에 적합한 방법임을 확인할 수 있었다. Bulk법으로 추정한 증발량은 안개 비발생일 보다 안개 발생일에 06 LST와 07 LST에 더 높게 나타났다. 안개 발생일에 하천의 증발은 대기에 증발잠열 에너지를 공급하고 안개 내부의 난류를 유지하는 에너지원으로 작용한다. 이와 같은 결과는 안개내부의 풍속, 기온, 그리고 난류운동에너지의 증가를 통해 확인하였다.

• 환경영향평가
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• 제12권2호
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• pp.109-120
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• 2003

This paper examined the impacts of dam construction on fog characteristics over surrounding areas. Juamdam which only supplies the water for use and Chungjudam which generates electricity were selected. The number of foggy days, fog occurrence and dissipation time and the differences of each lake water temperature and air temperature at Sunchun and Chungju were analyzed. After the construction of dam, the relative humidity and water vapor pressure were decreased at Sunchun and Chungju. The number of foggy days did not increase at Sunchun while largely increased at Chungju. Just because Juamdam were contained water, the water vapor pressure at surrounding areas of the weather station were largely decreased. It delayed the time of fog occurrence by bringing out the decrease of steam fog. The foggy days increased over the Chungju area due to the difference between air and cold outlet water temperature. The increase of foggy days mainly resulted from evaporation during colder seasons and from the temperature inversion over the water surface during warmer seasons.

• 한국환경과학회지
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• 제29권3호
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• pp.257-272
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• 2020

This study investigates the temporal and spatial variations of marine meterological elements (air temperature (Temp), Sea Surface Temperature (SST), and Significant Wave Height (SWH)) in seven coastal waters of South Korea, using hourly data observed at marine meteorological buoys (10 sites), Automatic Weather System on lighthouse (lighthouse AWS) (9 sites), and AWS (20 sites) during 2013-2017. We also compared the characteristics of Temp, SST, and air-sea temperature difference (Temp-SST) between sea fog and non-sea-fog events. In general, annual mean values of Temp and SST in most of the coastal waters were highest (especially in the southern part of Jeju Island) in 2016, due to heat waves, and lowest (especially in the middle of the West Sea) in 2013 or 2014. The SWH did not vary significantly by year. Wind patterns varied according to coastal waters, but their yearly variations for each coastal water were similar. The maximum monthly/seasonal mean values of Temp and SST occurred in summer (especially in August), and the minimum values in winter (January for Temp and February for SST). Monthly/seasonal mean SWH was highest in winter (especially in December) and lowest in summer (June), while the monthly/seasonal variations in wind speed over most of the coastal waters (except for the southern part of Jeju Island) were similar to those of SWH. In addition, sea fog during spring and summer was likely to be in the form of advection fog, possibly because of the high Temp and low SST (especially clear SST cooling in the eastern part of South Sea in summer), while autumn sea fog varied between different coastal waters (either advection fog or steam fog). The SST (and Temp-SST) during sea fog events in all coastal waters was lower (and more variable) than during non-sea-fog events, and was up to -5.7℃ for SST (up to 5.8℃ for Temp-SST).

• 한국연소학회:학술대회논문집
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• 한국연소학회 2013년도 제46회 KOSCO SYMPOSIUM 초록집
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• pp.127-128
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• 2013

Off-gas power plant is a renewable energy power plant which generate electrical energy using the low calorie FOG and BFG as main fuel. This combined cycle power plant is comprised of gas turbines, gas compressors, steam turbines, generators, and auxiliary equipment such as gas mixer, mixing tank, and gas cooler. In this paper, a off-gas power plant and development of its several equipment using CFD are introduced.