• 대기
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• 제14권3호
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• pp.19-28
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• 2004

In this study, two years Automatic Weather Station (AWS) data observed near the coast and islands are used to evaluate gust factors only when time averaged wind speed is higher than 5 ms. The gust factors are quite different in spatial and temporal domain according to analysis method. As the averaged time is increased, the gust factors are also increased. But the gust factors are decreased when wind speed is increased. It is because each wind speed is averaged one and a maximum wind is the greatest one for each time interval. The result from t-test is shown that all data are included within the 99% significance level. A sample standard deviation of ten minutes and one minute are 0.137~0.197, 0.067~0.142, respectively. Recently, the gust factor provided at the Korea Meteorological Administration (KMA) Homepage is calculated with one-hour averaged method. All though this method is hard to use directly for forecasting the strong wind over sea and coast, the result will be a great help to express Ocean Storm Flash in the Regional Meteorological Offices and the Meteorological Stations.

• 한국항공운항학회지
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• 제19권1호
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• pp.29-37
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• 2011

Last April, Europe was severly damaged as all social and economic activities came to a halt prompted by the cancellation of all flights resulting from volcanic ash. This exemplifies that the meteorology conditions have significant influence on the flights of airplanes. Hence, in this research the influence that the meteorology has on the domestic flights and its characteristics will be examined, and the core meteorological factors that influence flights in each airport will be drawn. In order to do this, statistical analysis on the influence that the meteorology has on flights was carried out in order to analyze the data about flight cancelation and delay and also its cause, primarily based on the Gimpo, Gimhae, and the Jeju airports. As a result, first, the meteorological factors which impact flight cancellation and delay were different among the domestic airports, and second, it was analyzed that fog was the main meteorological factor in the Gimpo airport, strong wind in the Jeju airport, and fog in the Gimhae airport. Third, between the day the flights were cancelled and delayed occurred, and the day that weren't, the fact that there existed a difference among the actual meteorological factors was statistically drawn. With the result of such analysis, meteorological factors pertaining to the cancellation and delay of flights must be considered seperately by each airport and specialized meteorological information must be provided accordingly. Further, when selecting the position of an airport that is to be constructed in the future, implications that there is a definite need for the meteorology effect evaluation based on past meteorology data can be drawn.

• 한국환경과학회지
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• 제29권4호
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• pp.403-413
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• 2020

The purpose of this study is to understand the formation of internal wind paths of open space and its effect on meteorological factors and the generation of negative air ions. Various types of internal wind paths of open space were formed. Subsequently, changes in meteorological factors in each type were measured and the generated negative air ions were analyzed. The four key findings of the study are summarized as follows. First, the average wind speed formed inside the open space was analyzed such that the difference in wind speed was dependent on the difference in the composition of the wind path. Second, the negative air ion generation was observed to have the same trend as the average wind speed difference. Third, changes to the meteorological factors were more evident depending on the difference in wind path formation patterns. Solar radiation was expected to be highly affected by the physical structure (direction) of the target site. The relative humidity was found to show large difference depending on the different wind path type; however, this difference was significantly reduced when converting to absolute humidity. Fourth, it was found that the wind path formation type of open space affects meteorological factors through path analysis, and the changed meteorological factors affect the amount of generated negative air ions. Two conclusions can be obtained based on these results. First, the changes in internal wind speed formation of open space directly reduced the amount of generated negative air ions. Second, the changes in wind speed affect meteorological factors as well as the amount of generated negative air ions.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 춘계학술대회 논문집
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• pp.105-108
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• 2006

본 연구는 연안기상 정보를 효율적으로 이용하여 사전에 적조를 예찰하고 실용화하여 적조로부터의 재해를 저감하는데 있다. 이러한 적조예찰을 위해서는 기본적으로 우리나라 주변 해역의 적조발생에 관여하는 기상 및 해양인자들의 환경학적 특성을 파악하고 이들의 상관성으로부터 적조발생 가능성을 예측하는 정보를 제공하는 것이 매우 중요하다. 또한 이러한 정보를 공공의 활용에 쉽게 이용될 수 있게끔 정보시스템을 구축하는 것이 필요하다. 앞으로 본 연구의 결과는 이 분야에 관련되는 학계, 공공기관, 업계의 종사자들에게 유용한 정보로 활용될 것으로 기대되며 그리고 매년 연례행사처럼 국가적으로 문제시 되고 있는 우리나라 주변해역의 적조피해를 줄이는데 실질적으로 기여할 것이다.

• Smart Structures and Systems
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• 제32권2호
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• pp.83-99
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• 2023

The temperature prediction approaches of three important locations in an operational longitudinal slab track-bridge structure by using three typical neural network methods based on the field measuring platform of four meteorological factors and internal temperature. The measurement experiment of four meteorological factors (e.g., ambient temperature, solar radiation, wind speed, and humidity) temperature in the three locations of the longitudinal slab and base plate of three important locations (e.g., mid-span, beam end, and Wide-Narrow Joint) were conducted, and then their characteristics were analyzed, respectively. Furthermore, temperature prediction effects of three locations under five various meteorological conditions are tested by using three neural network methods, respectively, including the Artificial Neural Network (ANN), the Long Short-Term Memory (LSTM), and the Convolutional Neural Network (CNN). More importantly, the predicted effects of solar radiation in four meteorological factors could be identified with three indicators (e.g., Root Means Square Error, Mean Absolute Error, Correlation Coefficient of R2). In addition, the LSTM method shows the best performance, while the CNN method has the best prediction effect by only considering a single meteorological factor.

• Journal of Forest and Environmental Science
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• 제34권3호
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• pp.249-252
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• 2018

Climate is one of most important environmental factors on the forest ecosystem. This study was conducted to analyze the characteristics of meteorological factors in the forest area and weather stations from July 2015 to June 2016 in Cheuncheon and Hongcheon of Kangwon Province in Korea. The HOBO data logger was installed for meteorological analysis in forests area (site 1 and site 2). The meteorological data from the HOBO data logger compared with meteorological data of the weather station. The meteorological data used for the analysis was monthly mean temperature ($^{\circ}C$), monthly mean minimum temperature ($^{\circ}C$), monthly mean maximum average temperature ($^{\circ}C$), and monthly mean relative humidity (%). As a result of this study, the mean temperature ($^{\circ}C$) of forest area was relatively lower than weather station which is the outside the forest area, and the mean maximum temperature ($^{\circ}C$) of weather station was relatively higher than that of forest area. The mean relative humidity (%) was higher in forest area than weather station.

• 산업경영시스템학회지
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• 제38권1호
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• pp.1-7
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• 2015

The traffic accidents in Korea have been increasing every year due to various reasons and simultaneously causing socioeconomic cost at the national level. This study has analyzed the correlation between meteorological factors and the traffic accidents in Seoul during 2013. Especially, we have selected season, rain and temperature among the meteorological factors to identify their significance with the traffic accidents. In addition, analysis of variance, t-test and a multiple regression technique is applied. Major findings from the analyses are discussed at the district point of view, including the different effect of weather condition and the interaction effect of rain and temperature in winter. The results of this study would be useful for developing management strategies to reduce car crashes and injury severity in Seoul.

• 한국지구과학회지
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• 제41권6호
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• pp.575-587
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• 2020

기상현상관측은 기상청에서 다양한 방법(지상, 고층, 해양, 항공, 등)으로 관측되고 있다. 하지만, 인간생활에 많은 영향을 미치는 대기경계층 관측에는 한계가 있다. 특히, 존데 또는 항공기를 이용한 기상관측은 경제적인 측면에서 상당한 비용이 필요하다. 따라서 본 연구의 목적은 기상드론을 이용하여 국지기상현상 중 해륙풍 연직분포에 대한 기상 인자들을 측정하고 분석하는 것이다. 해륙풍의 공간적 분포를 연구하기 위해 보성지역 표준기상관측소의 보성종합기상탑을 포함한 다른 세 지점(해안가, 산기슭, 산중턱)에 동일한 통합기상센서를 각 드론에 탑재하였다. 2018년 8월 4일 1100 LST부터 1800 LST까지 30분 간격으로 최대 400 m 고도까지 기온, 상대 습도, 풍향, 풍속, 기압의 연직 프로파일 관측이 수행되었다. 기온, 상대 습도, 기압에 대한 기상현상의 공간적 특성은 네 지점에서 보이지 않았다. 강한 일사량 시간대에 중간지점(~100 m)에서 강한 바람(~8 m s-1)이 관측되었고, 오후에는 풍향이 내륙지역의 상층부터 서풍으로 바뀌었다. 기상드론을 이용하여 관측한 하부 대기층의 분석결과는 보다 정확한 기상예보 향상에 도움이 될 것으로 기대된다.

• 한국대기환경학회지
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• 제23권3호
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• pp.322-331
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• 2007

In this study, we have analyzed $PM_{10}$ concentration measured at Incheon Regional Air Monitoring Network (10 stations) and meteorological data at Incheon Weather Station to investigate factors (i.e. wind direction, wind speed, relative humidity, major meteorological phenomenon, and sea-land breezes existence) influencing $PM_{10}$ concentration in Incheon during 2005. Statistical differences among meteorological factors were assessed by Kruskal-Wallis test or Mann-Whitney U test. The main conditions causing high $PM_{10}$ concentration are summarized below; 1. When westerly wind prevailed (however, $PM_{10}$ decreased when winds were blowing from the east or north). 2. When the winds were calm, owing to accumulation of nearby emissions under stagnant conditions, or when the wind speed is in excess of 6 m/s, which shows the effect of fugitive dust produced by wind erosion. 3. Under the condition of high relative humidity and poor diffusion based on meteorological phenomenon such as fog, mist, and haze. 4. When the Sea-Land breezes existed, which occurred 70 days in Incheon during 2005 and contributed significantly to high $PM_{10}$ concentration in the coastal urban area. In conclusion, we have found that the meteorological factors have influence on $PM_{10}$ concentration in Incheon.

• 한국정보통신학회논문지
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• 제9권4호
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• pp.844-853
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• 2005

본 연구는 연안기상 정보를 효율적으로 이용하여 사전에 적조를 예찰하고 실용화하여 적조로부터의 재해를 저감하는데 있다. 이러한 적조예찰을 위해서는 기본적으로 우리나라 주변 해역의 적조발생에 관여하는 기상 및 해양인자들의 환경학적 특성을 파악하고 이들의 상관성으로부터 적조발생 가능성을 예측하는 정보를 제공하는 것이 매우 중요하다. 또한 이러한 정보를 공공의 활용에 쉽게 이용될 수 있게끔 정보시스템을 구축하는 것이 필요하다. 앞으로 본 연구의 결과는 이 분야에 관련되는 학계, 공공기관, 업계의 종사자들에게 유용한 정보로 활용될 것으로 기대되며 그리고 매년 연례행사처럼 국가적으로 문제시 되고 있는 우리나라 주변해역의 적조피해를 줄이는데 실질적으로 기여할 것이다.