• 한국태양에너지학회 논문집
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• 제28권1호
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• pp.19-24
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• 2008

The energy crisis is culminating for the life of the fossil fuel in the future which is come to end at $30{\sim}40$ years. Moreover above 90% of the energy in our country depend on importing and the crisis is more seγious than it of other countries. So architects devote low energy house research and it means underground space research have become public opinion. But there is not an accurate and utility method calculating the heating load of underground space. In this study it is proposed that the heating load is calculated by setting adiabatic thichness of soil and predicting underground temperature. The prediction of the underground temperature is calculated by the latitude, the level, the distance from sea, the condition of earth surface.

• International Journal of Naval Architecture and Ocean Engineering
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• 제6권3호
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• pp.700-714
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• 2014

This study aims to identify the relations between seakeeping characteristics and hull form parameters for YTU Gulet series with cruiser stern. Seakeeping analyses are carried out by means of a computer software which is based on the strip theory and statistical short term response prediction method. Multiple regression analysis is used for numerical assessment through a computer software. RMS heave-pitch motions and absolute vertical accelerations on passenger saloon for Sea State 3 at head waves are investigated for this purpose. It is well known that while ship weight and the ratios of main dimensions are the primary factors on ship motions, other hull form parameters ($C_P$, $C_{WP}$, $C_{VP}$, etc.) are the secondary factors. In this study, to have an idea of geometric properties on ship motions of gulets three different regression models are developed. The obtained outcomes provide practical predictions of seakeeping behavior of gulets with a high level of accuracy that would be useful during the concept design stage.

• 한국환경과학회지
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• 제8권5호
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• pp.555-558
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• 1999

A sea/land breeze circulation system and a regional scale circulation system are formed at a region which has complex terrain around coastal area and affect to the dispersion and advection of air pollutants. Therefore, it is important that atmospheric circulation model should be well designed for the simulation of regional dispersion of air pollutants. For this, Local Circulation Model, LCM which has an ability of high resolution is used. To verify the propriety of a LCM, we compared the simulation result of LCM with an exact solution of a linear theory over a simple topography. Since they presented almost the same value and pattern of a vertical velocity at the level of 1 km, we had a reliance of a LCM. For the prediction of dispersion and advection of air pollutants, the wind filed should be calculated with high accuracy. A numerical simulation using LCM will provide more accurate results over a complex terrain around coastal area.

• Ocean Science Journal
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• 제42권3호
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• pp.153-163
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• 2007

This study is based on a series of numerical modeling experiments to understand the tidal circulation in the Kangjin Bay (KB). The tidal circulation in the KB is mostly controlled by the inflow from two channels, Noryang and Daebang which introduce the open ocean water into the northern part of the KB with relatively strong tidal current, while in the southern part of the KB, shallowest region of the entire study area, weak tidal current prevails. The model prediction of the sea level agrees with observed records at skill scores exceeding 90 % in terms of the four major tidal constituents (M2, S2, K1, O1). However, the skill scores for the tidal current show relatively lower values of 87, 99, 59, 23 for the semi-major axes of the constituents, respectively. The tidal ellipse parameters in the KB are such that the semi-major axes of the ellipse for M2 range from 1.7 to 38.5 cm/s and those for S2 range from 0.5 to 14.4 cm/s. The orientations of the major-axes show parallel with the local isobath. The eccentricity values at various grid points of ellipses for M2 and S2 are very low with 0.2 and 0.06 on the average, respectively illustrating that the tidal current in the KB is strongly rectilinear. The magnitude of the tidal residual current speed in the KB is on the order of a few cm/s and its distribution pattern is very complex. One of the most prominent features is found to be the counter-clockwise eddy recirculation cell at the mouth of the Daebang Channel.

• 대기
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• 제31권4호
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• pp.433-443
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• 2021

The wind speed and wind direction in Yeongdong are one of the crucial meteorological factors for forecasting snowfall in this area. To improve the snowfall forecast in Yeongdong region, Yeongdong Extreme Snowfall-Windstorm Experiment, YES-WEX was designed. We examined the wind field variation simulated with Local Data Assimilation and Prediction System (LDAPS) using observed wind field during YES-WEX period. The simulated wind speed was overestimated over the East Sea and especially 2 to 4 times in the coastal line. The vertical wind in Yeongdong region, which is a crucial factor in the snowfall forecast, was not well simulated at the low level (850 hPa~1000 hPa) until 12 hours before the forecast. The snowfall distribution was also not accurately simulated. Three hours after the snowfall on the East Sea coast was observed, the snowfall was simulated. To improve the forecast accuracy of snowfall in Yeongdong region, it is important to understand the weather conditions using the observed and simulated data. In the future, data in the northern part of the East Sea and the mountain slope of Taebaek observed from the meteorological aircraft, ship, and drone would help in understanding the snowfall phenomenon and improving forecasts.

• 한국수자원학회논문집
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• 제54권12호
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• pp.1285-1294
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• 2021

최근 전 세계적으로 기후변화의 영향으로 강우량이 집중되고 강우강도가 커지면서 홍수피해의 규모를 증가시키고 있다. 기존에는 관측되지 않았던 규모의 강우가 내리는가 하면 기록적으로 장기간동안 장마가 지속되기도 한다. 특히, 이러한 피해들은 아세안 국가들에 집중되고 있으며, 최근 해수면 상승, 태풍 및 집중호우로 인해 침수가 빈번히 빌생하는 등 아세안 국가 국민들 중 최소 2,000만 명이 영향을 받고 있다. 우리나라도 각종 ODA사업을 통해 국내의 홍수예경보시스템을 아세안 국가에 지원하고 있지만 통신시설이 불안정하여 중앙제어방식만으로는 한계가 있다. 따라서 본 연구에서는 한 개의 관측소에서 수위, 강우의 관측과, 홍수예측, 경보까지 한번에 가능한 관측소를 개발하기 위한 인공지능기반의 홍수예측모형을 개발하였다. 설마천의 전적비교 관측소의 2009년부터 2020년 까지 10분단위 강우와 수위관측자료를 활용하여 선행예보시간 0.5, 1, 2, 3, 6시간에 대해서 학습, 검증, 시험을 수행하였으며 인공지능알고리즘으로는 LSTM을 적용하였다. 연구결과 모든 선행예보시간에 대해 모형적합도 및 오차에서 우수한 결과를 나타냈다. 설마천과 같이 유역규모가 작고 유역경사가 커서 도달시간이 짧은 경우에는 선행예보시간 1시간은 매우 우수한 예측 결과를 나타낼 것으로 판단되며 유역의 규모나 경사에 따라 더 긴 선행예보시간도 가능할 것으로 예상된다.

• 대기
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• 제31권3호
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• pp.311-326
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• 2021

To improve the predictability of high-impact weather phenomena around Seoul, where a larger number of people are densely populated, KMA conducted the intensive observation from 22 June to 20 September in 2020 over the Seoul area. During the intensive observation period (IOP), the dropsonde from NIMS Atmospheric Research Aircraft (NARA) and the radiosonde from KMA research vessel Gisang1 were observed in the Yellow Sea, while, in the land, the radiosonde observation data were collected from Icheon and Incheon. Therefore, in this study, the effects of radiosonde and dropsonde data during the IOP were investigated by Observing System Experiment (OSE) based on Korean Integrated Model (KIM). We conducted two experiments: CTL assimilated the operational fifteen kinds of observations, and EXP assimilated not only operational observation data but also intensive observation data. Verifications over the Korean Peninsula area of two experiments were performed against analysis and observation data. The results showed that the predictability of short-range forecast (1~2 day) was improved for geopotential height at middle level and temperature at lower level. In three precipitation cases, EXP improved the distribution of precipitation against CTL. In typhoon cases, the predictability of EXP for typhoon track was better than CTL, although both experiments simulated weaker intensity as compared with the observed data.

• Communications for Statistical Applications and Methods
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• 제30권2호
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• pp.119-133
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• 2023

With the rapid growth of the economy and fossil fuel consumption, the concentration of air pollutants has increased significantly and the air pollution problem is no longer limited to small areas. We conduct statistical analysis with the actual data related to air quality that covers the entire of South Korea using R and Python. Some factors such as SO₂, CO, O₃, NO₂, PM₁₀, precipitation, wind speed, wind direction, vapor pressure, local pressure, sea level pressure, temperature, humidity, and others are used as covariates. The main goal of this paper is to predict air quality index (AQI) spatio-temporal data. The observations of spatio-temporal big datasets like AQI data are correlated both spatially and temporally, and computation of the prediction or forecasting with dependence structure is often infeasible. As such, the likelihood function based on the spatio-temporal model may be complicated and some special modelings are useful for statistically reliable predictions. In this paper, we propose several methods for this big spatio-temporal AQI data. First, random effects with spatio-temporal basis functions model, a classical statistical analysis, is proposed. Next, neural networks model, a deep learning method based on artificial neural networks, is applied. Finally, random forest model, a machine learning method that is closer to computational science, will be introduced. Then we compare the forecasting performance of each other in terms of predictive diagnostics. As a result of the analysis, all three methods predicted the normal level of PM_2.5 well, but the performance seems to be poor at the extreme value.

• 한국지리정보학회지
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• 제22권4호
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• pp.158-168
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• 2019

국립해양조사원은 '15년부터 '18년 까지 제1단계 개발도상국 공적개발원조(Official Development Assistance: ODA) 기반의 '필리핀 해양수산 인프라시설 구축 및 기술연수' 연구 사업을 수행하였다. 그리고 '20년부터 제2단계 필리핀 공적개발원조 연구 사업을 준비하고 있다. 또한 최근 필리핀은 기후변화로 인한 해수면 상승 및 연안 침식 등의 문제로 인하여 해양영토 관리와 대응역량 강화에 관심을 기울이고 있다. 따라서 본 연구는 제2단계 필리핀 공적개발원조 연구 사업을 추진함에 앞서, 우리나라 해양수직기준면 모델에 대하여 분석하고 지난 4년간의 필리핀 공적개발원조(ODA) 연구 사업을 기반으로 구축된 인프라와 해양자료를 기반으로 필리핀의 해양수직기준면 체계 발전방향을 제시하고자 한다. 또한 필리핀의 Sulu Sea 해역을 연구 구역으로 선정하여 총 22개의 조위관측소 정점에 대하여 조석 조화분해를 실시하고 개정수 분석 및 필리핀 조석격자망(모델) 구축을 위한 시범제작 연구를 수행하였다. 연구 결과, 조석특성이 유사한 해역을 기준으로 두 정점간의 개정수를 적용하여 예측과 실측조위를 비교하였을 때 유사한 조위데이터를 확인할 수 있었다. 본 연구 결과는 제2단계 공적개발원조 연구 사업의 기초자료로 활용되어 한-필리핀 국가 간의 우호증진 및 긴밀한 협력체계 구축 및 유지에 사용될 것이다.

• 한국해양공학회지
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• 제26권1호
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• pp.47-53
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• 2012

A coastal flood area was predicted using the empirical superposition of the typhoon surge level and typhoon wave height along the Busan coastal area. The historical typhoon damages were reviewed, and the coastal topography was measured using VRS-GPS. A FEMA formula was applied to estimate the coastal flood area in a typhoon case when the measured and predicted data of typhoon waves are not available. The results in the area of Haeundae beach and Gwangalli beach were verified using the flood area data from the case of Typhoon Maemi (2003). If a Hurricane Katrina class typhoon were to pass through the Maemi trajectory, the areathat would be flooded along theBusan coastal area was predicted and compared with the results of the Maemi case. Because of the lack of ocean environment data such as data for the sea level, waves, bathymetry, wind, pressure, etc., it is hard to improve the prediction accuracy for the coastal flood area in the typhoon case, which could be reflected in the policy to mitigate a typhoon's impact. This paper discusses the kinds of ocean environment information that is needed to predict a typhoon's impact with better accuracy.