• Journal of Bio-Environment Control
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• v.27 no.1
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• pp.64-70
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• 2018

In this study, eleven major coastal areas were selected and the climate environment and the greenhouse direction were analyzed. This research investigates the greenhouse heat loss according to the wind environment at target areas. The target areas were selected based on heated greenhouse cultivation area and wind environment standard. Temperature, wind speed, and wind direction among weather data for 30 years were collected and analyzed. The data were divided into the minimum, average, and maximum temperatures and the Meteorological Agency criteria applied to the weather and wind direction criteria. Data were collected in the range of $0{\sim}180^{\circ}$ considering the symmetry of the shape of the greenhouse. In addition, the wind direction is different for each region and the applied wind direction can be different when referring to the longitudinal direction of the greenhouse and the data are collected in the range of $0{\sim}90^{\circ}$. The results of this study are expected to be used to calculate the heating load of greenhouse installed in places wind speed high.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.16-22
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• 2017

This study examined the status of resident evacuation sites notified to nearby communities, centered on business sites subject to the risk management plan of Incheon, Siheung, and Ansan. Through an analysis of the meteorological data, the direction of improvement of the site selection process for the safe evacuation of chemical accidents was studied. Among a total of 111 evacuation sites, 30 schools were selected the most, and 2-3 sites were usually selected for evacuation. As a result of an analysis of the Incheon meteorological data of 2016, the frequency of occurrences was 18.8525% in the NNE wind direction, 18.0328% in the NNW wind direction, 12.2951% in the WSW wind direction, 9.0164% in the SSE direction, 8.4700% in the SW direction, 6.5574% in the W direction, and 5.7376% in the S direction. The NNE wind direction showed the highest frequency, but the other winds showed a relatively high frequency, indicating that the annual wind direction was not biased toward one side.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.27 no.3
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• pp.190-196
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• 2015

The estimation method of the sea wind information using the nearby land wind data have been widely used. However, it is insufficient to examine the limitation of the method based on the characteristics of the wind data. In this study, the characteristics of the wind data are analysed and compared to check the limitation of the existing conventional method. The data are observed at the same time period in the land and sea stations in Pohang coastal zone. In particular, the analysis are focused on the direction data simply overlooked in the analysis target. The method is suggested as a useful tool for the various analysis of the wind direction data. The results show that the statistical informations between the land and sea wind data are quite different though the lineal distance between stations are not large (${\fallingdotseq}3.8km$). The difference is attributed to come from the geometrical gradient and elevation difference between land and sea areas. As a consequence, the quantitative estimation error should be checked preliminarily using the land-sea monitoring data sets because the sea wind estimation using land data is essentially unacceptable.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.10a
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• pp.265-266
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• 2009

이 연구에서는 10년간(1997-2006년)의 기상청 AWS(Automatic Weather System) 자료를 이용하여 부산 해안의 바람분포 특성을 분석하였다. 그리고 부산 해안의 바랑분포 특성을 명확히 파악하기 위하여 해륙풍의 영향을 받지 않는 밀양의 바람분포 특성도 해석하여 비교하였다. 부산 해안의 평균풍속은 밀양보다 강하고, 부산 해안 중에서도 성인 영도와 가덕도의 평균풍속은 일광, 해운대 및 대연의 그것보다 약 2.0배 강한 특성을 보인다. 상판분석에 의하여, 부산 해안의 월별 평균풍속은 서로 변화 경향이 매우 유사함을 확인하였다. 부산 해안의 월별 평균풍속의 최대값은 9월에 나타나는데 이는 대풍의 영향과 밀접히 관련되어 있다. 최대순간풍속도 섬인 명도와 가덕도에서 특히 강하고, 부산 해안의 최대순간풍속은 주로 8-9월에 그 최대값이 관측된다. 부산 해안의 풍향별 관측횟수의 백분율을 살펴보면, 겨울은 남서풍-북북동풍이 우세하고 봄은 남서풍과 북동풍이 우세하다. 여름의 풍향 분포는 봄과 비슷하고, 가을의 풍향 분포는 겨울과 유사한 경향을 보인다.

• Journal of the Korean Geographical Society
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• v.34 no.2
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• pp.123-136
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• 1999

본 연구에서는 제주도의 사면별 강수 분포 특성을 파악하고자 하였다. 기압배치와 상층 풍향별로 4개 기상관측소의 일별 강수량 자료를 분석하였다. 제주도의 강수량은 북서사면 보다 남동사면 쪽이 많다. 그리고 대부분 온대성 저기압과 장마전선, 태풍에 의한 것이며, 앞의 두 경우는 남.동사면, 태풍에 의한 것은 북사면에 많다. 태풍에 의한 호우는 사면간의 강수량 차이가 적고, 저기압에 의한 것은 동서사면간, 장마전선에 의한 것은 남북사면간의 차이가 크다. 풍향별로는 남동과 남서풍계에 의한 강수가 많은데, 겨울에는 북서풍계에 의한 강수도 많다. 기압배치형 보다는 기류의 방향에 따라서 사면간의 강수량 차이가 크며, 남서, 남동풍계가 우세한 여름에는 남사면 강수량이 많고, 북서와 북동풍계가 우세한 겨울에는 북사면이 많다. 사면간의 강수차이는 미우인 경우 더욱 뚜렷하고, 미우는 겨울 북사면에 많다.

• Proceedings of the KIPE Conference
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• 2007.11a
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• pp.199-201
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• 2007

국내 발전 단지내 부지의 효율을 높이기 위해 계측설비를 설치하여 풍속, 풍향, 밀도 등의 원시자료를 확보하고, 풍력자원 분석을 수행하였다. 분석된 풍력자원과 기본 입지자료, 관련여건 등을 고려하여 풍력발전 시스템 건설에 지표가 될 수 있는 경제성 및 타당성 분석을 수행하였다.

• Korean Journal of Remote Sensing
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• v.31 no.2
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• pp.65-75
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• 2015

In this study, the observation environment of surface wind at an automatic weather station (AWS 288) located at Naei-dong, Mirang-si was analyzed using a computational fluid dynamics (CFD) model and geographic information system (GIS). The 16 cases with different inflow directions were considered before and after construction of an apartment complex around the AWS 288. For three inflow directions (south-south-westerly, south-south-easterly, and north-north-westerly), flow characteristics around the AWS 288 were investigated in detail, focusing on the changes in wind speed and direction at the AWS location. There was marked difference in wind speed between before and after construction of the apartment complex in the south-south-westerly case. In the south-south-easterly and north-north-westerly cases which were frequently observed at the AWS 288, the construction of the apartment complex had no marked influence on the observation of surface wind.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.1
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• pp.149-157
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• 2008

If we use the microwave of SAR, we can observe ocean in spite of severe weather or night time. The sea surface image of SAR has numerous information about atmospheric phenomena related to surface wind field. The extracted wind information from SAR can be used diversely. In order to extract sea wind speed from SAR image, a generated wind direction from SAR and sigma nought should be input into wind model. Therefore, wind speed can be obtained by input wind direction into CMOD5 Model. Azimuth angle using CMOD5 Model is generated by added $90^{\circ}$ to Look angle which is extracted from SAR data file. A gained wind direction spectrum from SAR image has $180^{\circ}$ ambiguity because of 2D-FFT. This ambiguity should decide to use the location of land, wind direction in field or the result of numerical model. Consequently, wind direction using 2D-FFT is $3^{\circ}{\sim}7^{\circ}$ differences with actual surveying data. Wind speed by CMOD5 model is similar to actual surveying data as below 2m/s.

• KIEAE Journal
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• v.3 no.1
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• pp.5-12
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• 2003

Using the wind, we can get a thermal comfort in summer. In winter we must shut out the wind. To achieve sustainable environmental building design, especially wind data is very important. The wind direction and wind velocity of 32 cities were analyzed to suggest the wind map of Korea. The weather data which was used in this paper was from National Weather Service(19711.1~2000.12.31). The results of this study are 1) The monthly wind velocity of Seoul is 1.1m/s-3.8m/s. 2) The maximum wind velocity could be estimated from the annual average wind velocity. The regression curve is Y(The maximum wind velocity)=6.369732 X(annual average wind velocity) + 6.391668 (P< 9.66E-12). 3) The wind velocity at the inland area which is far from 25km sea side is smaller than coastal area. The distance from the sea is major index of wind velocity. 4) The monthly wind direction was compared inland area with coastal area. 5) The uniform-velocity line on the Korean map was obtained.

• Journal of the Korean Society of Marine Environment & Safety
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• v.12 no.3 s.26
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• pp.185-192
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• 2006

Distribution of wind direction and wind speed is very important from the viewpoint of ship's safety because it is closely related to the formation and development of sea wave. In this study, the climatological characteristics of monthly wind distribution in a greater coasting area of Korea are analyzed by the ECMWF objective analysis data for the period from 1985 to 1995{11 years). Distributions of wind direction from October to March are very similar and wind speed is strongest in January. The NW'ly and WNW'ly winds at a latitude of 30 degrees N and northward and the NE'ly wind in the Straits of Taiwan and the South China Sea are sustaining and very strong. Distributions of wind direction from June to August are similar and the SW'ly and SSW'ly winds in the South China Sea are strong. The strong Southeast trades exists in the winter hemisphere{Southern Hemisphere). Wind speeds in April, May and September are generally weak.