아스팔트 콘크리트 포장 도로의 온도 분포 특성과 경계 조건을 분석하기 위하여 경상도 지역에 구축된 현장계측시스템으로부터 계측된 현장 온도를 활용하여 대기의 기상조건 및 온도가 포장체 내부의 온도 분포에 미치는 영향에 대하여 분석하였다. 아스팔트 콘크리트 포장의 깊이별 온도 분포를 분석한 결과 깊이별 온도가 동일한 시점인 교차시간은 여름보다 겨울이 상대적으로 늦게 나타나는 것을 확인하였다. 아스팔트 콘크리트 포장체의 온도 분포는 구름양과 강우의 영향을 모두 받으며, 동일 구름양량의 경우 강우량의 크기에 따라 포장체의 온도 분포가 달라지는 것을 확인하였다. 강설 및 포장면 적설의 영향으로 아스팔트 콘크리트 층의 온도 변동폭이 감소하며, 차량 운행에 의해 쌓인 눈이 녹는 구간은 적설량에 따른 영향이 적은 것으로 나타났다.

이 연구에서는 최근 20년(1989-2008년)간의 우리나라 기상청 자료를 이용하여 우리나라 남해안의 기상재해 특성을 분석하였다. 주요 분석 결과는 다음과 같다. 20년 동안에 남해안에서 발생한 기상재해는 총 149건으로 연평균 7.5건이었다. 7월이 가장 많았고, 그 다음은 8월, 9월의 순이었다. 7-9월의 기상재해가 전체의 약 42%를 차지하였다. 계절로 구분해 보면, 여름에 가장 많았고(전체의 약 39%), 그 다음은 가을, 겨울, 봄의 순이었다. 여름에 기상재해가 가장 많은 것은 주로 태풍과 호우와 같은 기상현상 때문이다. 태풍 중에서도 특히, 남해안에 상륙하는 경우가 대규모의 인적 물적 피해를 입히는 것으로 밝혀졌다. 그와 같은 태풍의 대표적인 예로서는 9112호 글래디스와 0215호 루사 그리고 0314호 매미를 들 수 있다.

본 논문에서는 현재 건설 중인 목포대교와 선박 사이의 충돌 위험도 평가에 필요한 선박 정보와 기상 정보 수집 장치(Data Acquisition System, DAS) 개발에 관하여 기술하였다. 본 연구에서는 DAS를 통항 선박과 기상 현황 데이터를 수집하기 위한 신호 수신 및 처리 유닛과, 데이터 전송과 분배를 위한 네트워킹 유닛, 데이터 관리를 위한 유닛 등으로 구성하였다. 목포항 여객터미널과 신안군 안좌도를 왕복하는 카페리 선상에서의 현장 실험을 통해, 충돌 위기 평가에 적합한 정보를 DAS가 제공할 수 있음을 알았다. 또한 5차 버터워스 디지털 필터를 이용하여 기상 데이터에 포함된 잡음성 데이터를 충분히 억제할 수 있었다.

In order to clarify the impact of regional warming on the meteorological field and air quality over southeastern part of Korean Peninsula, several numerical experiment were carried out. Numerical models used in this study are WRF for the estimate the meteorological elements and CMAQ for assessment of ozone concentration. According to the global warming impact, initial air temperature were changed and its warming rate reach at 2 degree which was based on the global warming scenarios provided by IPCC. The experiments considering the global warming at initial stage were presented as case T_UP. Air temperature over inland area during night time for case T_UP is higher than that for Base case. During time since the higher temperature over inland area is maintained during daytime more intensified sea breeze should be induced and also decrease the air temperature in vicinity of coast area. In case of T_UP, high level concentrations ozone distribution area was narrowed and their disappearance were faster after 1800LST. As a results, wind and temperature fields due to the global warming at initial stage mainly results in the pattern of ozone concentration and its temporal variation at South-Eastern Part of the Korean Peninsula.

The impact of urbanization on local meteorology (e.g., surface temperature, PBL height, wind speed, etc.) in the Greater Seoul Area (GSA) was quantitatively evaluated based on a numerical modeling approach during a 1-month period of 2001 (9 Sep. through 8 Oct. 2001). The analysis was carried out by two sets of simulation scenarios: (1) with the global land use and topographic data from the U.S. Geological Survey (USGS) in 1990s (i.e., LU-USGS case) and (2) with the land use data from the Environmental Geographic Information System (EGIS) along with the 3 sec elevation data from the Shuttle Radar Topography Mission (SRTM) in 2000s (i.e., LU-EGIS case). The extension of urban areas in the GSA (especially, the southern parts of Seoul) accounted for 1.8% in the LU-USGS case and 6.2% in the LU-EGIS case. For the simulations, the surface temperature and PBL height due to urbanization in the LU-EGIS case was higher (the differences of up to 0.1 ℃ and 36 m, respectively) than those in the LU-USGS case, whereas the wind speed (up to 0.3 ms-1) in the former was lower than that in the latter at 1500 LST. The increase in surface temperature due to urbanization in the GSA (especially, the southern parts of Seoul) was led to the strong convergence of air masses, causing the early sea breeze and its rapid propagation to inland locations. In addition, the vertical mixing motion in the extended urban areas for the LU-EGIS case was predicted to be stronger than that for the LU-USGS case and vice versa for the original urban areas.

The effects of meteorological and reclaiming conditions on the reduction of suspended particles are investigated using a computational fluid dynamics (CFD) model with the k-ε turbulence closure scheme based on the renormalization group (RNG) theory. Twelve numerical experiments with different meteorological and reclaiming conditions are performed. For identifying the meteorological characteristics of the target area and providing the inflow conditions of the CFD model, the observed data from the automatic weather station (AWS) near the target area is analyzed. Complicated flow patterns such as flow distortion, horse-shoe vortex, recirculation zone, and channeling flow appeared due to the topography and buildings in the domain. Specially, the flow characteristics around the reclamation area are affected by the reclaiming height, reclaiming size and windbreak height. Reclaiming height affected the wind speed above the reclaiming area. Windbreak induces more complicated flow patterns around the reclaiming area as well as within the reclaiming area. In front of the windbreak, flow is distorted as it impinges on the windbreak. As a result, upward flow is generated there. Behind the windbreak, a secondary circulation, so called, a recirculation zone is generated and flow is reattached at the end of the recirculation zone (reattachment point). At the lower part of the recirculation zone, there is a reverse flow toward the windbreak. Flow passing to the reattachment point starts to be recovered. Total amounts of suspended particles are calculated using the frictional and threshold frictional velocities, erosion potential function, and the number of surface disturbance. In the case of a 10 m-reclaiming and northerly wind, the amount of suspended particles is largest. In the presence of 5 m windbreak, the friction velocity above the reclaiming area is largely reduced. As a result, the total amount of the suspended particles largely decreases, compared to the case with the same reclaiming and meteorological conditions except for the windbreak The calculated suspended particle amounts are used as the emission rate of the dispersion model simulations and the dispersion characteristics of the suspended particles are analyzed.

This paper aims to analyze the perception of university students for the extreme heat watch warning and suggest the usefulness of special weather reports. For this, we have made up a descriptive questionnaires including the perception, mass media, usefulness and satisfaction of special weather report. Using the SPSS 17.0 program, descriptive statistics, t-test, ANOVA and Scheffe test were used to analyze the collected data. The result are as follows; The perception of extreme heat watch warning was some low as 59.1 percentile, we think it needs education and public relations about the extreme heat watch warning. The usefulness of special weather report was 66.6 percentile and of girl students of university that was educated about health care was higher than one of boy students of university, it needs continuous education of these students in order to upgrade satisfaction of special report and mitigate the hazard of extreme heat according to climate change. The main media to get the meteorological information of university undergraduate students were TV and Internet, it needed education and development of new contents. From these findings, suggestions are presented to help improve the extreme heat watch warning.

Three meteor-statistical forecasting models - the transfer function model, the time-series autoregressive model and the neural networks model - were tested to develop a daily forecasting model for Jejudo, where the need and demand for wind power forecasting has increased. All the meteorological observation sites in Jejudo have been classified into 6 groups using a cluster analysis. Four pairs of observation sites among them, all having strong wind speed correlation within the same meteorological group, were chosen for a model test. In the development of the wind speed forecasting model for Jejudo, it was confirmed that not only the use a wind dataset at the objective site itself, but the introduction of another wind dataset at the nearest site having a strong wind speed correlation within the same group, would enhance the goodness to fit of the forecasting. A transfer function model and a neural network model were also confirmed to offer reliable predictions, with the similar goodness to fit level.

본 연구는 기상재해에 의해서 발생되는 묘목의 피해 상황을 분석하고 이에 대한 대비책을 제시하고자 수행되었다. 묘목 피해 상황은 2003년부터 2007년까지 5년 동안 조사하였는데, 연도별로 피해 수종은 다양한 것으로 조사되었다. 대표적으로 소나무, 낙엽송, 잣나무, 상수리나무, 편백, 자작나무, 스트로브잣나무 등과 같은 대부분의 주요 조림수종들이 포함되었다. 이 기간 동안 발생된 묘목 피해 원인은 대부분 침수피해로 분석되었다. 현지조사 대상 양묘장 중에는 최근 기상재해가 연속적으로 발생하여 큰 피해가 초래된 곳도 있었다. 2008년 현지조사에서는 침수피해와 함께 고온, 과다시비, 토양문제 등 다양한 원인들이 분석되었으나, 정확하게 원인을 밝히기 힘든 복합적인 요인에 의한 피해인 경우들이 많았다.

This paper aims to find out the statistical characteristics of the weather related railroad accidents and incidents. Data from Korea Railroad Operation Information System(KROIS) and Korea Railroad Accidents reports during 1996-2008 were used to investigate the occurrence frequency of railroad accidents and operation obstacles and their association with weather phenomena. The results are as follows; The occurrence frequency of railroad accidents and operation obstacles decrease gradually, and most of railroad accidents is a railroad traffic accidents. The amount of damages by a railroad weather-related accidents is higher than those of the railroad accidents and operation obstacles. It was also found that weather events influencing the railroad weather-related accidents and incidents are rainfall, snowfall, lightning, winds. And they caused a railroad weather-related accidents and incidents, such as railway obstruction, signal failure, and power supply failure. Therefore we need research about threshold review and a quantitative and qualitative analysis of a railroad weather-related accidents and incidents according to climate change.

Nowadays meteorological information is systemized as a useful knowledge which has a significant effect on the overall industrial domains over the simple data. The distribution industry, which has the short life cycle, depends on the meteorological information at the strategic level. However, it is necessary to pay attention to the continuous investment in meteorological information because there is a hostility to paying for a service, particularly it does not provide accurate and reliable information. Therefore, the purpose of this study is to increase the usefulness of meteorological information in the distribution industry for its economic effectiveness from the core meteorological factors. We found significant meteorological factors (temperature, precipitation, disaster) that have a critical influence on the distribution industry through the hierarchical analysis process, and their importance according to the type of distribution channels, such as department store, large-scale discount store, convenience store, and home shopping. We performed the AHP analysis with 103 survey samples by middle managers from the various distribution channels. We found that precipitation is the critical meteorological factor across the distribution industry. Based on this result, we stress the difference in the level of the meteorological information in order for the effectiveness of each type of distribution channels.

In this study, we analyzed the impact of orographic and thermal forcing on the atmospheric flow field over the urban metropolitan areas on urban artificial buildings and future development plan. Several numerical experiments have been undertaken in order to clarify the impacts of the future development plan on urban area by analyzing practical urban ground conditions, we revealed that there were large differences in the meteorological differences in each case. The prognostic meteorological fields over complex areas of Seoul, Korea are generated by the PSU/NCAR mesoscale model(MM5). we carried out a comparative examination on the meteorological fields of topography and land-use that had building information and future development plan. A higher wind speed at daytimes tends to be forecasted when using new topography and land use data that have a high resolution with an appropriate limitation to the mixing height and the nocturnal boundary layer(NCB). During nighttime periods, since radiation cooling development is stronger after development plan, the decreased wind speed is often generated.

The generation of TiO2 nanoparticles by a thermal decomposition of titanium tetraisopropoxide (TTIP) was carried out experimentally using a tubular electric furnace at various synthesis temperatures (700, 900, 1100 and 1300℃) and precursor heating temperatures (80, 95 and 110℃). Effects of degree of crystallinity, surface area and anatase mass fraction of those TiO2 nanoparticles on photocatalytic properties such as decomposition of methylene blue was investigated. Results show that the primary particle diameter obtained from thermal decomposition of TTIP was considerably smaller than the commercial photocatalyst (Degussa, P25). Also, those specific surface areas were more than 134.4 m2/g. Resultant TiO2 nanoparticles showed improved photocatalytic activity compared with Deggusa P25. This is contributed to the higher degree of crystallinity, surface area and anatase mass fraction of TiO2 nanoparticles compared with P25.

본 연구에서는 국내 기상관측소 중 관측년수가 30년 이상인 관측소 63개 지점에 대한 5개의 수문기상수문인자 즉, 연강수량, 연강수일수, 연평균기온, 연평균상대습도, 연일조시간 자료를 각 지점별로 수집하고, 통계학적 기법인 Wald-Wolfowitz 검정, Mann-Whitney 검정을 이용하여 변동성 분석과 Wavelet Transform을 이용하여 주기성을 분석하였다. 변동성 분석결과 연평균상대습도, 연평균기온에서 공통적으로 변동성이 나타났으며, 연

본 연구에서는 국내 기상관측소 중 관측년수가 30년 이상인 관측소 63개 지점을 대상으로 9개의 수문기상수문인자 즉, 연강수량, 연강수일수, 연평균기온, 연평균상대습도, 연일조시간, 연증발량, 연강수계속시간, 연적설일수, 연신적설일수 자료를 각 지점별로 수집하고, 수문기상인자에 대한 기본통계량, 선형회귀분석, 이동평균법을 통해 수문기상인자의 기본적인 특성을 알아보았다. 또한 통계학적기법인 Hotelling-Pabst 검정과 Mann-Kendall 검정을

Actual evapotranspiration (AET) in the Suyeong-gu was estimated and correlations between AET and meteorological factors were analyzed. The study area was Suyeong-gu lay at the east longitude 129° 05′40″∼ 129° 08′08″ and north latitude 35° 07′59″∼ 35° 11′01″. The Kumryun mountain, the Bae mountain, the Suyeong river and the Suyeong bay are located on west, north, northeaster and south side in the study area, respectively. AET was estimated using precipitation (P), potential evapotranspiration (PET) and plant-available water coefficient. Meteorological factors to estimate PET were air temperature, dewpoint temperature, atmospheric pressure, duration of sunshine and mean wind speed (MWS). PET and AET were estimated by a method of Allen et al. (1998) and Zhang et al. (2001), respectively. PET was the highest value (564.45 mm/yr) in 2002 year, while it was the lowest value (449.95 mm/yr) in 2003 year. AET was estimated highest value (554.14 mm/yr) in 2002 year and lowest value (427.91 mm/yr) in 2003 year. Variations of PET and AET were similar. The linear regression function of AET as PET using monthly data was and coefficient of determination was high, 0.75. In order to analyze relationship between the evapotranspiration and meteorological factors, correlation analysis using monthly data were accomplished. Correlation coefficient of AET-PET was 0.96 high, but they of AET-P and PET-P were very low. Correlation coefficients of AET-MWS and PET-MWS were 0.67 and 0.73, respectively. Thus, correlation between evapotranspiration and MWS was the highest among meteorological factors in Suyong-gu. This means that meteorological factor to powerfully effect for the variation of evapotranspiration was MWS. The linear regression function of AET as MWS was and coefficient of determination was 0.54. The linear regression function of PET as MWS was and coefficient of determination was 0.45.

본 연구는 우리나라 양묘산업의 기상재해 피해 상황을 분석하고 이에 대한 대비책을 제시하고자 수행되었다. 양묘산업의 대표적인 기상재해는 풍수해, 한해 그리고 상동해로 조사되었다. 1981년도부터 2007년도까지 지난 27년 동안 기상재해로 입은 약 3억본의 묘목 중 풍수해 피해가 58.7%로 가장 높은 비율이며, 다음으로 한해가 25.7%, 상동해가 15.6%로 조사되었다. 지역별로는 경남, 경북, 강원도 순으로 많은 것으로 조사되었다. 강원도는 대부분 풍수해로 조사되었으나 경남, 경북은 풍수해뿐만 아니라, 한해, 상동해 피해도 전국적으로 높은 비율로 발생되었다. 특히, 한해는 경상남ㆍ북도와 전라남ㆍ북도 모두 많이 발생하였는데, 이는 그동안 우리나라 남부지방의 봄 가뭄 등이 원인으로 판단된다. 한편 풍수해 및 한해 피해는 그 해 내렸던 강수량과 밀접한 상관관계가 있는 것으로 조사되었다.

This study aims to explore micrometeorological influences on particle growth by the experimental and statistical approaches. Characteristic meteorological conditions of the nucleation event were observed, and turbulence in the PBL seemed to play a role in particle growth. The major micrometeorological factors governing particle size growth in the PBL were instability (-z/L), friction velocity (u*), Bowen ration (B), and downward shortwave radiation (RsDN) as determined by a regression model. This result indicates that the geographical properties including land surface cover and geomorphology have strong influence on the aerosol size growth in PBL.

본 논문에서는 기상 위성으로부터 수신된 2차원 영상들을 구름 모델링 기법을 이용하여 3차원 입체 영상으로 재구성하는 구름 애니메이션 방법을 제안한다. 먼저 위성 영상들에 다수의 제어점을 분포시킨 후, 박판 스플라인 워핑 해석을 통하여 구름의 움직임을 모델링한다. 이에 더하여 가시채널과 적외채널 영상으로부터 구름의 양과 높낮이 정보를 추출하여 입체감을 가진 3차원 구름을 모델링한다. 구름 가시화를 위하여 적은 수의 볼륨데이터 슬라이스로도 우수한 품질의 영상을 빠르게 얻을 수 있는 선적분 볼륨 렌더링 방식을 사용한다. 제안 기법으로 2차원 위성 영상으로부터 적절한 속도와 화질을 갖는 3차원 구름 애니메이션이 가능하다.

Cool island intensity urban green space was investigated based in Dalsung Park, that is one of the largest parks in Daegu. Cool island intensity(CII), which is defined as the temperature difference between the green space and its surrounding built-up areas, shows time variations. A through-year measurement(2008-2009) of ground level air temperature revealed seasonal variation and relationship to the atmospheric condition of CII. The temperature variation in the park and the reference downtown Daegu was as same order as CII. The noontime CII is larger in summer than that in winter due to the leaf fall of the park trees. On the other hand, seasonal variation of nighttime CII is not so clear. The nighttime CII was larger under the stable atmosphere.