• 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.47 no.3
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• pp.347-358
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• 2012

This study aimed to investigate the change of wind speed during winter and summer seasons for 50 years(1961-2010). It were analyzed the mean wind speed, maximum wind speed, windy days and storm days on January and August of 13 weather stations in South Korea. The mean wind speed was decreased in the coastal region(Busan, Jeju, Ulsan, Pohang) in winter and summer seasons. Also it was similar to windy day. The relationship between wind speed and mean temperature has negative correlation in winter season. The relationship is low in summer season. The number of windy day and storm day has negative relation with monthly mean temperature.

• Korean Journal of Agricultural and Forest Meteorology
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• v.19 no.3
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• pp.130-139
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• 2017

The crop damage caused by strong wind was predicted using the wind speed data available from Korean Meteorological Administration (KMA). Wind speed data measured at 19 automatic weather stations in 2012 were compared with wind data available from the KMA's digital forecast. Linear regression equations were derived using the maximum value of wind speed measurements for the three-hour period prior to a given hour and the digital forecasts at the three-hour interval. Estimates of daily maximum wind speed were obtained from the regression equation finding the greatest value among the maximum wind speed at the three-hour interval. The estimation error for the daily maximum wind speed was expressed using normal distribution and Weibull distribution probability density function. The daily maximum wind speed was compared with the critical wind speed that could cause crop damage to determine the level of stages for wind damage, e.g., "watch" or "warning." Spatial interpolation of the regression coefficient for the maximum wind speed, the standard deviation of the estimation error at the automated weather stations, the parameters of Weibull distribution was performed. These interpolated values at the four synoptic weather stations including Suncheon, Namwon, Imsil, and Jangsu were used to estimate the daily maximum wind speed in 2012. The wind damage risk was determined using the critical wind speed of 10m/s under the assumption that the fruit of a pear variety Mansamgil would begin to drop at 10 m/s. The results indicated that the Weibull distribution was more effective than the normal distribution for the estimation error probability distribution for assessing wind damage risk.

• Journal of Bio-Environment Control
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• v.3 no.1
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• pp.1-9
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• 1994

Wind load or snow load, acting on agricultural structures is working more sensitive than any other load and therefore plays an important role in determination of design loads of agricultural structures. In this study, unit snow weight, greatest gust speed and depth of snow fall were analyzed and applied to determine the amount of frames. The unit snow weights were statistically classified and calculated in the basis of mean temperature and showed considerable differences between the unit snow weights at below and above -1$^{\circ}C$. Equations for estimating greatest gust speed with fastest wind speed were developed for inland and seaside districts. The calculated values from developed equations were little higher than those from the current equation in general. The difference between the depths of snow cover and snow fall, which shows the possibility of reduction of design loads under the adequate management. Design wind speed estimated by a modified equation suggested the amount of frames less than those by current one, and the depth of snow fall as a design snow depth suggested the amount of frames more than those of snow cover. Therefore, it is very important to select the adequate design values considering the characteristics of agricultural structures.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.10a
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• pp.94-95
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• 2014

10년간(1992-2011년)의 데이터를 이용하여 태풍의 피크기에 대하여 분석하였다. 얻어진 주요 결과를 정리하면 다음과 같다. 최대풍속 20-29m/s와 40-49m/s의 태풍이 상대적으로 높은 비율을 차지하고 초강력 태풍이라고 구분할 수 있는 최대풍속 50-59m/s의 태풍도 많은 수를 차지한다. 최대풍속 50m/s 이상의 초강력 태풍은 전체 태풍 수의 24％를 차지하고 최대풍속 60m/s 이상의 태풍도 존재하여 이에 대한 항해자의 경계를 요한다. 태풍의 피크기가 주로 나타나는 곳은 북위 15도에서 25도, 동경 120도에서 140도의 해역이다. 태풍 피크기의 유지시간은 12시간 이내가 전체 태풍의 27％(59개), 13-24시간이 29％(64개), 25-48시간이 30％(66개)를 차지하여 대부분의 경우 피크기의 유지시간은 2일 이내이다. 초강력 태풍은 주로 9월에 발생하고 5월, 8월, 10월에도 높은 빈도수를 보여 이 시기에 발생하는 태풍에 대하여 각별히 주의할 필요가 있다.

• Journal of Korean Society of Disaster and Security
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• v.10 no.1
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• pp.75-84
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• 2017

This study is concerned with the estimation of daily instantaneous maximum wind velocity in the meteorological major cities (selected each 17 points) during the yearly 1973-2016. The purpose of this paper is to present the turbulence statistic characteristics (probability distribution, correlation coefficient, turbulency intensity, shear velocity, roughness length, turbulence integral length, skewness, and kurtosis) of the daily instantaneous maximum wind velocity. In the processes of analysis, used observations data obtained at Korea Meteorological Adminstration (KMA). The estimation of non-Gaussian load effects for design applications has often been treated tacitly by invoking a conventional wind design load on the basis of Gaussian processes. This assumption breaks down when the instantaneous wind velocity processes exhibits non-Gaussianity. From the analysis results, the probability distribution of the daily instantaneous maximum wind velocity shows a very closed with non-Gaussian in the ensemble population 748, the correlation coefficient shows larger at inland area more than coastal area.

• Journal of Korean Society of Disaster and Security
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• v.8 no.1
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• pp.29-37
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• 2015

This study is concerned with the estimation of fluctuation wind velocity spectrum and turbulence characteristics in the major cities reflecting the recent meteorological with typhoon wind velocity about 2003 (Maemi) 2010 (Kompasu) 2012 (Tembin). The purpose of this paper is to present spectral analysis for longitudinal component fluctuating velocity. In the processes of analysis, the longitudinal velocity spectrums are compared widely used spectrum models with horizontal wind velocity observations data obtained at Korea Meteorological Adminstration (KMA) and properties of the atmospheric air for typhoon fluctuating wind data are estimated to parameters with turbulency intensity, shear velocity and roughness length.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.2A
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• pp.197-205
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• 2008

In order to estimate mean wind speed in the Gwangyang-Myodo Region, the probability distribution model of extreme values has been used in the statistical analysis of joint distribution probability of daily maximum wind speed and corresponding direction in this paper. For this purpose frequency of daily maximum records at respective stations is inquired into and sample of largest yearly wind speed of sixteen compass direction and non-direction is extracted from daily data of maximum wind speed and appropriate direction of the meteorological observing stations nearby the bridge construction site. These extreme speed records are applied to Gumbel and Weibull distribution model and parameters are estimated through method of moment and method of least squares etc. And also, distribution and parameters are inquired into whether it is fitted through the probability plot correlation coefficient examination. From fitted parameters the largest yearly wind speed of sixteen compass direction and non-direction is extrapolated taking into account factors regarding sample size of data and distance from the bridge construction site according to the appropriate stations.

• Journal of Korean Society of Disaster and Security
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• v.6 no.2
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• pp.1-8
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• 2013

This study is concerned with the estimation of fluctuate wind velocity statistic properties in the major cities reflecting the recent meteorological with largest data samples (yearly 2003-2012). The basic wind speeds were standardized homogeneously to the surface roughness category C, and to 10m above the ground surface. The estimation of the extreme of non-Gaussian load effects for design applications has often been treated tacitly by invoking a conventional wind design (gust load peak factor) on the basis of Gaussian processes. This assumption breaks down when the loading processes exhibits non-Gaussianity, in which a conventional wind design yields relatively non conservative estimates because of failure to include long tail regions inherent to non-Gaussian processes. This study seeks to ascertain the probability distribution function from recently wind data with effected typhoon & maximum instantaneous wind speed.

• Journal of Korean Society of Disaster and Security
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• v.10 no.2
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• pp.21-28
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• 2017

Wind turbulence data is required for engineering calculations of gust speeds, mean and fluctuating loading. Spectral densities are required as input data for methods used in assessing dynamic response. This study is concerned with the estimation of daily instantaneous maximum wind velocity in the meteorological major cities (selected each 6 points) during the yearly 1987-2016.12.1. The purpose of this paper is to present the power spectral densities of the daily instantaneous maximum wind velocity. In the processes of analysis, used observations data obtained at Korea Meteorological Adminstration(KMA), it is assumed as a random processes. From the analysis results, in the paper estimated power spectral densities function(Blunt model) shows a very closed with von Karman and Solari's spectrum models.