• 한국수산과학회지
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• 제46권6호
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• pp.862-867
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• 2013

Since the industrial revolution, seawater has increased in temperature and acidity due to the increase in anthropogenic carbon dioxide in the atmosphere. To understand the effect of elevated $CO_2$ on the early life stages of fish, we reared fertilized eggs of black sea bream Acanthopagrus schlegelii under three $CO_2$ concentrations (400, 850 and 1550 ppm) for 3 weeks. The standard length and wet weight of black sea bream larvae declined with enhanced $CO_2$ concentration in the rearing water (P<0.05). However, chemical analysis using ICP-OES on internal tissues of black sea bream larvae indicated that the whole-body calcium concentration increased with $CO_2$ concentration in the rearing water. These conflicting results suggest that future experiments should examine the acid-base balance to investigate the formation of bone and otolith during larval growth.

• 대기
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• 제33권4호
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• pp.355-365
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• 2023

To proactively manage climate risk, near-term climate predictions on annual to decadal time scales are of great interest to various communities. This study evaluates the near-term climate prediction skills in East Asia with DePreSys4 retrospective decadal predictions. The model is initialized every November from 1960 to 2020, consisting of 61 initializations with ten ensemble members. The prediction skill is quantitatively evaluated using the deterministic and probabilistic metrics, particularly for annual mean near-surface temperature, land precipitation, and sea level pressure. The near-term climate predictions for May~September and November~March averages over the five years are also assessed. DePreSys4 successfully predicts the annual mean and the five-year mean near-surface temperatures in East Asia, as the long-term trend sourced from external radiative forcing is well reproduced. However, land precipitation predictions are statistically significant only in very limited sporadic regions. The sea level pressure predictions also show statistically significant skills only over the ocean due to the failure of predicting a long-term trend over the land.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.1019-1022
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• 2006

Satellite sea ice data from 1978 to the present reveal that the perennial ice (or ice that survives the summer) has been rapidly declining at almost 10% per decade. Warming due to increases in greenhouse gases in the atmosphere is now also being reflected in winter with drastic reductions in the maximum extent observed in 2005 and 2006. The retreat of the perennial ice also exposes more open water and has revealed an asymmetric distribution of chlorophyll a pigment concentration in the Arctic basin. Phytoplankton blooms are most dominant at high latitudes, partly on account of sea ice, but in the Arctic basin, it appears that pigment concentrations in the Eastern (Laptev Sea) Region are on the average three times higher than those in the Western (Beaufort Sea) Region. Such asymmetry suggests that despite favorable conditions provided by the melt of sea ice, there are other factors that affects the productivity of the region. The asymmetry is likely associated with much wider shelf areas in the East than in the West, with sea ice processes that inhibits the availability of nutrients near the surface in deep water regions, and river run-off that affects nutrient availability. The primary productivity in the pan-Arctic region have been estimated using the pigment concentrations and PAR derived from SeaWiFS data and the results show large seasonal as well as interannual variability during the 1998 to 2005 period. The data points towards increasing productivity for later years but with only 9 years of data it is too early to tell the overall effect of the sea ice retreat.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2014년도 제46회 동계 정기학술대회 초록집
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• pp.119.1-119.1
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• 2014

Toxic waste disposal: Many people think that when toxic waste is dumped into the ocean or into the air, it disappears. This belief is incorrect. Rather than disappearing, it accumulates over time and slowly destroys the environment. Ultimately, it leads to the destruction of human race. Plasma is environmentally friendly: Plasma is environmentally friendly because it is created and disappears. When plasma is formed on the earth, you need certain conditions such as accelerating electrons by an electrical discharge or a particle accelerator. When this is gone, plasma completely disappears, leaving no impact on the environment. Plasmas produce radicals: Even if plasma density is low at atmospheric pressure, many radicals (excited states of molecules) are created. These radicals are chemically very aggressive. So instead of using harmful chemicals, plasma can be utilized for less of an impact on the environment. Plasma can reach very high temperatures: Plasma is also useful because when you control the density, you can easily reach high temperatures up to $5000{\sim}6000^{\circ}C$ at atmosphere pressure. Because of this heat and the chemical aggressiveness of the plasma, there are many green applications for plasma technology. Pulsed power technology: Pulsed electric field for extraction, drying and killing bacteria. Treatment of biological tissue by pulsed electric fields: Extraction of substances from cells: Sterilisation, Medical applications, Growth stimulation, Food preparation. Each application has its specialities, especially with respect to pulse shape and electric field strength.

• 대기
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• 제20권3호
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• pp.333-341
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• 2010

The stratiform rain fraction is investigated in the tropical boreal winter Madden-Julian oscillation (MJO) and summer intraseasonal oscillation (ISO) using Tropical Rainfall Measuring Mission (TRMM) Precipitation Rader data for the 11-yr period from 1998 to 2008. Composite analysis shows that the MJO/ISO produces larger stratiform rain rate than convective rain rate for nearly all phases following the propagating MJO/ISO deep clouds, with the greatest stratiform rainfall amount when the MJO/ISO center is located over the central-eastern Indian Ocean and the western Pacific. The fraction of the intraseasonally filtered stratiform rainfall compared to total rainfall (i.e., convective plus stratiform rainfall) amounts to 53~56%, which is 13~16% larger than the stratiform rain fraction estimated for the same data on seasonal-to-annual time scales by Schumacher and Houze. This indicates that the MJO/ISO exhibits the organized rainfall process which is characterized by the shallow convection/heating at the incipient phase and the subsequent flare-up of strong deep convection, followed by the development of stratiform clouds at the upper troposphere.

• 대기
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• 제28권3호
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• pp.263-272
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• 2018

The high-resolution ocean surface wind vector produced by scatterometer was assimilated within the Local Ensemble Transform Kalman Filter (LETKF) in Korea Institute of Atmospheric Prediction Systems (KIAPS). The Advanced Scatterometer (ASCAT) on Metop-A/B wind data was processed in the KIAPS Package for Observation Processing (KPOP), and a module capable of processing surface wind observation was implemented in the LETKF system. The LETKF data assimilation cycle for evaluating the performance improvement due to ASCAT observation was carried out for approximately 20 days from June through July 2017 when Typhoon Nepartak was present. As a result, we have found that the performance of ASCAT wind vector has a clear and beneficial effect on the data assimilation cycle. It has reduced analysis errors of wind, temperature, and humidity, as well as analysis errors of lower troposphere wind. Furthermore, by the assimilation of the ASCAT wind observation, the initial condition of the model described the typhoon structure more accurately and improved the typhoon track prediction skill. Therefore, we can expect the analysis field of LETKF will be improved if the Scatterometer wind observation is added.

• 대기
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• 제21권2호
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• pp.143-149
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• 2011

A new multi-timescale analysis method, Ensemble Empirical Mode Decomposition (EEMD), is used to diagnose the variation of the MJO activity determined by 850hPa and 200hPa zonal winds from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) Reanalysis data for the 56-yr period from 1950 to 2005. The results show that MJO activity can be decomposed into 9 quasi-periodic oscillations and a trend. With each level of contribution of the quasi-periodic oscillation discussed, the bi-seasonal oscillation, the interannual oscillation and the trend of the MJO activity are the most prominent features. The trend increases almost linearly, so that prior to around 1978 the activity of the MJO is lower than that during the latter part. This may be related to the tropical sea surface temperature(SST). It is speculated that the interdecadal change in the MJO activity appeared in around 1978 is related to the warmer SST in the equatorial warm pool, especially over the Indian Ocean.

• 한국항행학회논문지
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• 제14권6호
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• pp.783-790
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• 2010

현재 대부분의 선박은 해상에서의 안전한 운항을 위하여 GPS를 이용하여 선박 위치를 파악하고 있다. 이 연구에서는 GPS 정밀단독측위기법을 이용하여 준실시간으로 해상 선박의 위치를 결정하고, 그 정밀도를 분석하였다. 이를 위하여 선박에 GPS 장비를 설치하여 남해안 관측을 실시하였다. 정밀단독측위 기법을 이용한 GPS 관측데이터 처리를 위하여 JPL에서 개발한 GIPSY-OASIS를 이용하였으며, 안테나 위상 중심 변동량과 해양 조석하중에 의한 지각 변동량, 그리고 방위각 방향으로의 대류층 지연량을 보정하였다. 그 결과 이 연구에서 산출한 준실시간 좌표는 ~1cm 수준의 정밀도를 달성하였다.

• 대한원격탐사학회지
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• 제34권2_1호
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• pp.295-300
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• 2018

순복사는 지구 에너지 순환의 열원으로 사용되는 총 복사에너지의 총량으로써, 지표면에서는 수문학, 기후 연구 및 농업과 같은 분야에서 중요한 요소이다. 원격탐사를 통해 순복사를 모니터링 함으로써 열섬 현상과 도시화 경향을 파악할 수 있어 매우 중요하지만, 원격 탐사 자료만을 이용한 순복사 추정은 일반적으로 구름의 유무에따라정확도차이가발생한다.따라서본논문에서는천리안위성(Communication, Ocean and Meteorological Satellite, COMS) 및 Landsat-8위성 기반의 자료와 건물 높이 차이를 반영한 전산유체역학(Computational Fluid Dynamics, CFD)모델 자료를 이용하여 도시화가 진행 중인 은평구 뉴타운 지역에서의 고해상도 순복사를 1시간 간격으로 산출 및 모니터링을 수행하였다. 은평구 플럭스 타워에서 관측된 순복사와 비교한 결과, RMSE $54.29Wm^{-2}$, Bias $27.42Wm^{-2}$의 정확도를 보였으며, 전체적으로 지점 관측 자료와의 유사한 경향을 보였다. 또한 산출된 순복사는 강수와 같은 기상상태를 잘 나타냈으며, 공간적 분포에서 식생 및 인공물 지역에 대한 순복사의 특징을 잘 나타냈다.

• 한국항해항만학회지
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• 제46권1호
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• pp.57-72
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• 2022

최근 국제 교역량 증가와 비대면 사회 기조에 따른 물동량 폭증은 항만물류산업 내 위험 노출 및 안전사고 증가로 이어지고 있다. 이와 함께 사회 전반에 걸쳐 안전을 중시하는 분위기와 공감대가 확산되면서 산업별로 안전을 보호하는 각종 법안들이 제정되고 있다. 그럼에도 불구하고 고용노동부의 산업재해 현황분석에 따르면 2015년부터 2019년 동안 연평균 재해자수는 11.1%, 사망자수는 4.0%씩 증가하였다. 이는 미래 발생 가능한 리스크에 대한 각별한 관심을 기울이고 주요 사고원인에 대한 예방대책을 세워야 한다는 것을 의미한다. 따라서 본 연구에서는 2016년부터 2020년까지 5년간 한국산업안전보건공단에서 집계된 사고사례 5,028건을 바탕으로 위험성 평가를 진행하여 산업별 주요 위험요인을 도출한 뒤, Bow-Tie 분석기법을 진행하여 유해위험요인으로부터 발생원인과 예방대책을 도출하고자 하였다.