• 제목/요약/키워드: strong gust

검색결과 39건 처리시간 0.019초

우리나라 강풍의 기후학적 시공간 변화 특성 (Climatological Spatio-Temporal Variation of Strong Wind in Korea)

  • 김현욱;김백조;남형구;정종혁;심재관
    • 대기
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    • 제30권1호
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    • pp.47-57
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    • 2020
  • In this study, the climatological spatio-temporal variation of strong wind and gust wind in Korea during the period from 1993 to 2018 was analyzed using daily maximum wind speed and daily maximum instantaneous wind speed data recorded at 61 observations. Strong wind and gust wind were defined as 14 m s-1 and 20 m s-1, which are the same as the KMA's criteria of special weather report. The frequency of strong wind and gust wind occurrence was divided into regions with the higher 25 percent (Group A) and the lower 75 percent (Group B). The annual frequency of strong wind and gust wind occurrence tended to be decreased in most parts of the Korean peninsula. In Group A with stations located at coastal region, strong wind and gust wind occurred most frequently in winter with higher frequency at 1200~1600 LST and 2300~2400 LST due to influence of East Asian winter monsoon. In addition, a marked decreasing trend throughout the four seasons was shown at Daegwallyeong, Gunsan and Wando observations. In contrast, it can be found in Group B that the monthly frequency of strong wind and wind gust occurrence was higher in August and September by effect of typhoon and hourly frequency was higher from 1200 LST to 1800 LST.

돌풍계수 가이던스에 관한 연구 (Study on the guidance of the gust factor)

  • 박효순
    • 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.

A case study of gust factor characteristics for typhoon Morakat observed by distributed sites

  • Liu, Zihang;Fang, Genshen;Zhao, Lin;Cao, Shuyang;Ge, Yaojun
    • Wind and Structures
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    • 제35권1호
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    • pp.21-34
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    • 2022
  • Gust factor is an important parameter for the conversion between peak gust wind and mean wind speed used for the structural design and wind-related hazard mitigation. The gust factor of typhoon wind is observed to show a significant dispersion and some differences with large-scale weather systems, e.g., monsoons and extratropical cyclones. In this study, insitu measurement data captured by 13 meteorological towers during a strong typhoon Morakot are collected to investigate the statistical characteristics, height and wind speed dependency of the gust factor. Onshore off-sea and off-land winds are comparatively studied, respectively to characterize the underlying terrain effects on the gust factor. The theoretical method of peak factor based on Gaussian assumption is then introduced to compare the gust factor profiles observed in this study and given in some building codes and standards. The results show that the probability distributions of gust factor for both off-sea winds and off-land winds can be well described using the generalized extreme value (GEV) distribution model. Compared with the off-land winds, the off-sea gust factors are relatively smaller, and the probability distribution is more leptokurtic with longer tails. With the increase of height, especially for off-sea winds, the probability distributions of gust factor are more peaked and right-tailed. The scatters of gust factor decrease with the mean wind speed and height. AS/NZ's suggestions are nearly parallel with the measured gust factor profiles below 80m, while the fitting curve of off-sea data below 120m is more similar to AIJ, ASCE and EU.

태풍 연직프로파일과 gust factor를 이용한 지상의 최대풍속 추정 (Estimation of the Maximum Wind to Surface Using Wind Profile in Typhoon and Gust Factor)

  • 정우식;박종길;최효진
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2008년도 춘계학술대회 논문집
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    • pp.290-292
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    • 2008
  • we applied Wind Field Module of PHRLM so that disaster prevention agency concerned can effectively estimate the possible strong wind damages by typhoon. In this study, therefore, we estimated wind speed at 300m level using 700hPa wind according to the research method by Franklin(2003), PHRLM(2003), and Vickery and Skerlj(2005). Then we calculated wind speed at 10m level using the estimated wind speed at 300m level, and finally, peak 3.second gust on surface. The case period is from 18LST August 31 to 03LST September 1, 2002, when the typhoon Rusa in 2002 was the most intense. Among disaster prediction models in the US, Wind Field Module of PHRLM in Florida was used for the 2002 typhoon Rusa case. As a result, peak 3.second gust on the surface increased $10\sim20%$ in the typhoon's 700hPa wind speed.

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Typhoon damage analysis of transmission towers in mountainous regions of Kyushu, Japan

  • Tomokiyo, Eriko;Maeda, Junji;Ishida, Nobuyuki;Imamura, Yoshito
    • Wind and Structures
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    • 제7권5호
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    • pp.345-357
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    • 2004
  • In the 1990s, four strong typhoons hit the Kyushu area of Japan and inflicted severe damage on power transmission facilities, houses, and so on. Maximum gust speeds exceeding 60 m/s were recorded in central Kyushu. Although the wind speeds were very high, the gust factors were over 2.0. No meteorological stations are located in mountainous areas, creating a deficiency of meteorological station data in the area where the towers were damaged. Since 1995 the authors have operated a network for wind measurement, NeWMeK, that measures wind speed and direction, covering these mountainous areas, segmenting the Kyushu area into high density arrays. Maximum gusts exceeding 70 m/s were measured at several NeWMeK sites when Typhoon Bart (1999) approached. The gust factors varied widely in southerly winds. The mean wind speeds increased due to effects of the local terrain, thus further increasing gust speeds.

태풍 Maemi에 의한 3-second gust가 경상남도에 미치는 최대 피해액 산정 (An Evaluation of the Maximum Damage Cost in Gyeongsangnam-do by Typhoon Maemi's 3-second gust)

  • 정우식;박종길;최효진
    • 한국방재학회:학술대회논문집
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    • 한국방재학회 2010년도 정기 학술발표대회
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    • pp.114.1-114.1
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    • 2010
  • 본 연구에서는 우리나라에 적합한 재해예측모형을 구축하기 위하여 중해상도(10km)의 입력 자료를 이용하여 태풍에 의해 지상에 발생 가능한 3-second gust를 추정하였다. 중해상도 입력자료의 구축은 경상남도(부산광역시 포함) 시 군 구 단위의 행정구역으로 구분하였으며, 추정된 3-second gust를 이용하여 건물의 주요구성 요소별로 피해 확률을 구한 뒤, 발생 가능한 최대피해액을 산정하였다. 태풍 Maemi에 의한 최대강풍 피해액은 여러 주택유형 중에서도 '대표주택' 유형의 경우 약 6천억 원으로 분석되었다. 비교적 내륙에 위치한 지역에서는 적은 피해액을, 해안가에 위치한 지역에서는 많은 피해액을 나타내며, 부산광역시에서 피해액이 높은 구 군의 경우 경상남도 시 군의 평균적인 피해액과 비슷한 것으로 보아 부산이 경상남도와 비교하여 면적으로는 작지만 태풍에 의한 강풍에 매우 취약함을 알 수 있다.

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강풍조건에서 국지규모 지형 변화에 따른 풍하측 바람장 변화 (Variation of Wind Field over the Leeward Area According to the Local-scale Geographical Variation under Strong Wind Condition)

  • 정우식;박종길;이화운;김은별
    • 대기
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    • 제16권3호
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    • pp.169-185
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    • 2006
  • We have investigated the wind speed variations over the leeward region when the strong wind blows. In this study we employ Envi-met numerical model to simulate the effect of surface boundary conditions. This model is applied for three cases which are characterized by land use and terrain height. The base case having natural geographical condition shows the weakest wind speed around lee side of Chunsudae. The others which remove the vegetation and cut off the terrain above 20 m ASL represent the stronger wind speed than base case. The main factor of this result is the surface friction. The distinct variation of wind is found at offshore area between Chunsudae and the southern part of village, but the northern part where is apart from Chunsudae shows a small variation of wind pattern. The weakening of wind speed around residential area is a maximum of 4~10 m/s when the wind blows in the village as strong as 55 m/s. The gust wind speed is weakened about 7~17 m/s in this case if the coefficient of gust wind adapted as 1.75.

한반도 영향 태풍의 월별 최대풍 특징과 사례 연구 - 태풍 루사·매미·곤파스·볼라벤을 대상으로 - (Characteristics of Monthly Maximum Wind Speed of Typhoons Affecting the Korean Peninsula - Typhoon RUSA, MAEMI, KOMPASU, and BOLAVEN -)

  • 나하나;정우식
    • 한국환경과학회지
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    • 제28권4호
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    • pp.441-454
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    • 2019
  • The present study analyzes the characteristics of 43 typhoons that affected the Korean Peninsula between 2002 and 2015. The analysis was based on 3-second gust measurements, which is the maximum wind speed relevant for typhoon disaster prevention, using a typhoon disaster prevention model. And the distribution and characteristics of the 3-second gusts of four typhoons, RUSA, MAEMI, KOMPASU, and BOLAVEN that caused great damage, were also analyzed. The analysis show that between May and October during which typhoons affected the Korean Peninsula, the month with the highest frequency was August(13 times), followed by July and September with 12 occurrences each. Furthermore, the 3-second gust was strongest at 21.2 m/s in September, followed by 19.6 m/s in August. These results show that the Korean Peninsula was most frequently affected by typhoons in August and September, and the 3-second gusts were also the strongest during these two months. Typhoons MAEMI and KOMPASU showed distribution of strong 3-second gusts in the right area of the typhoon path, whereas typhoons RUSA and BOLAVEN showed strong 3-second gusts over the entire Korean Peninsula. Moreover, 3-second gusts amount of the ratio of 0.7 % in case of RUSA, 0.8 % at MAEMI, 3.3 % at KOMPASU, and 21.8 % at BOLAVEN showed as "very strong", based on the typhoon intensity classification criteria of the Korea Meteorological Administration. Based on the results of this study, a database was built with the frequencies of the monthly typhoons and 3-second gust data for all typhoons that affected the Korean Peninsula, which could be used as the basic data for developing a typhoon disaster prevention system.

한반도 태풍시기 강풍유발 피해액 산정의 정확도 향상을 위한 기초자료의 고도화 (Basic Data Advancement for Improving the Accuracy of Estimating the Damage Cost Caused by Strong Winds on the Korean Peninsula during Typhoon Periods)

  • 윤희성;정우식
    • 한국환경과학회지
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    • 제31권1호
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    • pp.87-97
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    • 2022
  • In this study, type analysis was conducted along with the advancement of basic data to calculate the maximum damage caused by strong winds during the typhoon period. The result of the damage by region showed that in 2012, the difference in damage was clearly distinguished as the region was classified in detail. In addition, the result of the annual damage in 2011 was strong on the west coast, and in 2016, the damage to the southeast coast was significant. In 2012, the 3-second gust was relatively stronger on the west and southeast coasts than in 2011, and the winds blew stronger along the southeast coast in 2016. Monthly damage data showed that the damage to the west coast was high in August, and the damage to the southeast coast was high in October from 2002 to 2019. The 3-second gust showed the result of wide expansion throughout the southern coast of the Korean Peninsula in October. As a result, the damage differs for type bacause the intensities and paths of typhoons vary depending on their characteristics, the 3-second gust blows differently by region based on regional characteristics, and the sale price is considered in metropolitan cities.