• 한국철도학회논문집
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• 제16권3호
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• pp.202-206
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• 2013

해중철도는 파도와 바람의 영향을 크게 받지 않는 해중을 통과하는 터널내에 고속열차가 운행하는 철도시스템으로 수심에 관계없이 설치할 수 있고, 모듈별 육상 제작후 해상 대조립으로 건설이 가능하기 때문에 건설비용이 획기적으로 절감될 수 있는 장점이 있다. 본 연구에서는 해중철도의 개념설계안을 소개하고 안전성 확보를 위해 해중에서 잠수함과 충돌하는 경우를 대상으로 해중철도의 구조적 거동을 해석할 수 있는 기법을 제시하고자 한다. 탄성지지된 보이론을 활용하여 해중철도 함체의 등가 질량을 계산하고 잠수함과 완전탄성 충돌시 속도를 계산하고 에너지 보존의 원리에 따라 함체의 변형량과 최대굽힘모멘트를 계산하였다. 결과의 검증을 위해 보요소를 사용하여 충돌 유한요소해석을 실시하였고, 비교를 통해 타당성을 확인하였다. 본 연구에서 제안한 충돌 이론 해법은 간편하게 함체의 변형량과 최대굽힘모멘트를 계산할 수 있어 초기 설계시에 효과적으로 활용될 수 있다.

• 한국산학기술학회논문지
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• 제15권8호
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• pp.5385-5392
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• 2014

최근 전 지구적인 기상 변화로 인하여 슈퍼 태풍이 많이 발생되고 있다. 특히 2012년에는 볼라벤과 덴바 등 최대 풍속 60m/s 이상의 태풍이 우리나라에 상륙을 하였다. 설계 파고보다 높은 이상 고파랑이 내습하면서 소파블록을 포함한 항만시설물의 유실 및 파괴가 발생하였다. 우리나라는 주로 Tetrapod 블록이 가장 많이 설치되어 있음에도 불구하고 이에 대한 구조적 평가가 제대로 이루어지지 않았다. 이에 본 연구에서는 다양한 하중 조건하에서 Tetrapod 블록의 응력 메커니즘을 분석하고 취약부분을 분석하였다. 분석 결과 블록이 무근 콘크리트로 되어 있기 때문에 인장력에 가장 취약한 것으로 나타났으며, 4개의 다리가 연결되는 부분이 가장 취약하여 균열이 시작되는 것으로 분석되었다. 접합부를 부분 보강한다면 취약부가 감소될 것으로 판단된다.

• 대기
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• 제26권1호
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• pp.1-18
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• 2016

Eleven Tropical Cyclone (TC) intensity guidance models in the western North Pacific have been validated over 2008~2014 based on various analysis methods according to the lead time of forecast, year, month, intensity, rapid intensity change, track, and geographical area with an additional focus on TCs that influenced the Korean peninsula. From the evaluation using mean absolute error and correlation coefficients for maximum wind speed forecasts up to 72 h, we found that the Hurricane Weather Research and Forecasting model (HWRF) outperforms all others overall although the Global Forecast System (GFS), the Typhoon Ensemble Prediction System of Japan Meteorological Agency (TEPS), and the Korean version of Weather and Weather Research and Forecasting model (KWRF) also shows a good performance in some lead times of forecast. In particular, HWRF shows the highest performance in predicting the intensity of strong TCs above Category 3, which may be attributed to its highest spatial resolution (~3 km). The Navy Operational Global Prediction Model (NOGAPS) and GFS were the most improved model during 2008~2014. For initial intensity error, two Japanese models, Japan Meteorological Agency Global Spectral Model (JGSM) and TEPS, had the smallest error. In track forecast, the European Centre for Medium-Range Weather Forecasts (ECMWF) and recent GFS model outperformed others. The present results has significant implications for providing basic information for operational forecasters as well as developing ensemble or consensus prediction systems.

• 농촌계획
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• 제23권4호
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• pp.153-168
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• 2017

The main objective of this study was to assess reference evapotranspiration based on multiple GCMs (General Circulation Models) and estimation methods. In this study, 10 GCMs based on the RCP (Representative Concentration Pathway) 4.5 scenario were used to estimate reference evapotranspiration. 54 ASOS (Automated Synoptic Observing System) data were constructed by statistical downscaling techniques. The meteorological variables of precipitation, maximum temperature and minimum temperature, relative humidity, wind speed, and solar radiation were produced using GCMs. For the past and future periods, we estimated reference evapotranspiration by GCMs and analyzed the statistical characteristics and analyzed its uncertainty. Five methods (BC: Blaney-Criddle, HS: Hargreaves-Samani, MK: Makkink, MS: Matt-Shuttleworth, and PM: Penman-Monteith) were selected to analyze the uncertainty by reference evapotranspiration estimation methods. We compared the uncertainty of reference evapotranspiration method by the variable expansion and analyzed which variables greatly influence reference evapotranspiration estimation. The posterior probabilities of five methods were estimated as BC: 0.1792, HS: 0.1775, MK: 0.2361, MS: 0.2054, and PM: 0.2018. The posterior probability indicated how well reference evapotranspiration estimated with 10 GCMs for five methods reflected the estimated reference evapotranspiration using the observed data. Through this study, we analyzed the overall characteristics of reference evapotranspiration according to GCMs and reference evapotranspiration estimation methods The results of this study might be used as a basic data for preparing the standard method of reference evapotranspiration to derive the water management method under climate change.

• 한국대기환경학회지
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• 제28권2호
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• pp.142-158
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• 2012

This paper investigates the physical and chemical characteristics of long-range transport (LRT) process of air pollutants by employing the MM5-CMAQ and its comparison with local emission dominant (LED) case over northeast Asia. We first classified high air pollution days into LRT and LED cases based on the synoptic meteorological variables of vorticity and geostrophic wind speed/direction at a geopotential level of over 850hPa. LRT cases are further categorized into three types of transport patterns (LRT-I-III) according to the air mass pathways from source regions. LRT-I-III are originated from northern, central, and southern China, respectively, identified by back trajectory analysis. Three LRT-I-III groups have different and unique locations of high pressure and transport pathways. The chemical characteristics showed that the simulated spatial distributions varied in terms of locations of maximum concentrations and the temporal variation of surface concentrations. The primary air pollutants such as $NO_x$, $PM_{10}$ and $SO_2$ of all of three LRT cases are well transported into Korea peninsula with different concentration levels. Of LRT cases, LRT-II has the greatest effect on air quality of Korea peninsula, followed by LRT-I and LRT-III. In comparison with LRT, the LED case shows relatively higher air pollution concentrations in general, but showed a variety of different air quality levels following the emission strength pattern. These widely varying patterns are impling the case dependent multi-directional approach for the development of indicators of long-range transport process over northeast Asia.

• 한국항공우주학회지
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• 제42권12호
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• pp.1028-1036
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• 2014

연구에서는 MOC 및 CFD를 이용한 극초음속 노즐 설계 절차를 수립하였다. MOC를 이용하여 설계된 비점성 노즐 형상에 대하여, 점성 유체 전산 해석을 통하여 경계층 두께를 산출하여 노즐 형상을 보정하였다. 여러 가지의 경계층 두께 정의를 비교한 결과, 노즐 단면 최대 속력의 95% 속력을 가지는 경계층 두께의 정의가 설계 마하수를 가장 잘 만족하는 것으로 여겨진다. 노즐 설계과정은 MOC 설계에 대한 격자 형성, 비점성 해석 및 점성 해석, 경계층 보정 및 점성 해석에 의한 확인 및 결과 도출의 순서로 진행되며, 모든 과정은 자동 일괄 처리토록 작성되었다.

• 한국대기환경학회지
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• 제28권5호
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• pp.495-505
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• 2012

Modeling the effects of high-rise buildings on thermo-dynamic conditions and meteorological fields over a coastal urban area was conducted using the modified meso-urban meteorological model (Urbanized MM5; uMM5) with the urban canopy parameterization (UCP) and the high-resolution inputs (urban morphology, land-use/land-cover sub-grid distribution, and high-quality digital elevation model data sets). Sensitivity simulations was performed during a typical sea-breeze episode (4~8 August 2006). Comparison between simulations with real urban morphology and changed urban morphology (i.e. high-rise buildings to low residential houses) showed that high-rise buildings could play an important role in urban heat island and land-sea breeze circulation. The major changes in urban meteorologic conditions are followings: significant increase in daytime temperature nearly by $1.0^{\circ}C$ due to sensible heat flux emitted from high density residential houses, decrease in nighttime temperature nearly by $1.0^{\circ}C$ because of the reduction in the storage heat flux emitted from high-rise buildings, and large increase in wind speed (maximum 2 m $s^{-1}$) during the daytime due to lessen drag-force or increased gradient temperature over coastal area.

• Journal of Radiation Protection and Research
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• 제23권2호
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• pp.103-107
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• 1998

복잡한 내륙분지에 위치한 한국원자력연구소 부지에서 대기확산해석에 있어서 정온상태에 따른 영향을 고찰하였다. 미국 원자력규제위원회 전산프로그램 XOQDOQ와 PAVAN을 사용하여 원자력 시설의 정상운영시 와 가상사고시 대기확산인자를 평가하였다. 1997년에 측정된 연간 기상자료로부터 대기안정도에 따른 풍향, 풍속의 발생빈도분포를 작성하여 프로그램의 입력자료로 사용하였다. 정온에 대한 정의를 0.5 m $sec^{-1}$에서 0.21 m $sec^{-1}$로 변화시켰을 때 최대치를 나타내는 풍하방향에서의 확산인자는 정상운영시와 가상사고시에 대해 각각 1.62배, 2.16배 높았다.

• Asian Journal of Atmospheric Environment
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• 제10권4호
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• pp.179-189
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• 2016

Here we evaluated the effect of using water retentive pavement or WRP made from fly ash as material for main street in a real city block. We coupled computational fluid dynamics and pavement transport (CFD-PT) model to examine energy balance in the building canopies and ground surface. Two cases of 24 h unsteady analysis were simulated: case 1 where asphalt was used as the pavement material of all ground surfaces and case 2 where WRP was used as main street material. We aim to (1) predict diurnal variation in air temperature, wind speed, ground surface temperature and water content; and (2) compare ground surface energy fluxes. Using the coupled CFD-PT model it was proven that WRP as pavement material for main street can cause a decrease in ground surface temperature. The most significant decrease occurred at 1200 JST when solar radiation was most intense, surface temperature decreased by $13.8^{\circ}C$. This surface temperature decrease also led to cooling of air temperature at 1.5 m above street surface. During this time, air temperature in case 2 decreased by $0.28^{\circ}C$. As the radiation weakens from 1600 JST to 2000 JST, evaporative cooling had also been minimal. Shadow effect, higher albedo and lower thermal conductivity of WRP also contributed to surface temperature decrease. The cooling of ground surface eventually led to air temperature decrease. The degree of air temperature decrease was proportional to the surface temperature decrease. In terms of energy balance, WRP caused a maximum increase in latent heat flux by up to $255W/m^2$ and a decrease in sensible heat flux by up to $465W/m^2$.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 추계학술대회
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• pp.183-185
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• 2015

최근 기계학습기반 빅데이터 분석이 많은 주목을 받으며 축산분야에도 다양한 기계학습 방안들이 적용되고 있다. 많은 양의 생체데이터와 환경데이터에 기계학습기법을 적용하여 분석함으로써 이전에는 발견하지 못했던 새로운 사실들을 밝혀낼 수 있다. 본 연구에서는 실험돈사에서 수집된 데이터를 기반으로 비육돈의 비율일당증체를 예측하는 방안에 대해서 다루었다. 비율일당증체 예측을 위해서 매일 측정된 온도/습도/이산화탄소/풍속의 일평균/일최소/일최대 데이터(환경데이터)과 비율일당증체(생체데이터)를 이용하였고, 트리기반 알고리즘을 사용하여 비율일당증체 예측수식을 도출하였다. 이를 통해 평균 온도가 비율일당증체에 가장 큰 영향을 미치는 요소인 것을 보였다. 본 연구의 결과는 각 양돈농가에서 비육돈의 성장을 예측하는데 유용하게 활용될 수 있을 것이다.