• 대한토목학회논문집
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• 제7권4호
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• pp.159-165
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• 1987

본(本) 연구(硏究)에서는 특정지역에서 태풍(颱風)의 통계적(統計的) 분석(分析) 및 확률적(確率的) 기술방법(記述方法)을 이용하여 한국(韓國)의 태풍위험도분석(颱風危險度分析)에 관한 합리적(合理的) 방법(方法)을 제시(提示)하였다. 간접적(間接的) 방법(方法)으로 태풍(颱風)의 확률풍속(確率風速)을 예측하기 위해 두가지 시뮬레이션 과정(過程) 및 fitting 방법(方法)에 대해 논(論)하였다. 일반적으로 간접적(間接的) 방법(方法)으로는 Russell의 방법(方法)이 사용되고 있는데 이 방법(方法)은 특정지역에서 태풍(颱風)의 확률적(確率的) 예측을 위한 기상학적(氣象學的) 특성(特性)과 풍속장(風速場)모형(Wind field Model)에 기초를 두고 시뮬레이션 방법(方法)에 의해 약 1,000개의 태풍(颱風)을 발생시켜 통계적(統計的)으로 기저확률분포(基底確率分布)를 구한 다음, 그 결과를 Weibull분포(分布)에 fitting하도록 하고 있다. 그러나, 본(本) 연구(硏究)에서는 150년(年) 내지 200년간(年間)의 연최대풍속(年最大風速)을 발생시켜 그 data를 이용하여 Weibull분포(分布)에 직접 fitting하는 방법(方法)을 제안(提案)하였다. 수치해석(數値解析)결과, 본(本) 연구(硏究)에서 제안(提案)한 방법(方法)이 보다 효율적(效率的)이고 합리적(合理的)인 태풍(颱風)의 위험도평가방법(危險度評價方法)임을 알 수 있었다. 아울러, 제안(提案)된 확률풍속(確率風速) 예측방법(豫測方法)을 이용하여 태풍(颱風)취약지역인 남서해안(海岸) 일대에서 송전탑(送電塔)의 설계풍속(設計風速)에 대해 검토, 분석하였다.

• 한국환경과학회지
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• 제24권12호
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• pp.1657-1671
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• 2015

In this study, the wind direction and the wind speed of the nearest temperature observations point of the National Weather Service was analyzed in order to investigate the rapid rise and drop of water temperature in the East Coast appeared after passing of the 2015 typhoon No. 9 and 11. Then the figures were simulated and analyzed using the WRF(weather research and forecast) model to investigate in more detailed path of the typhoon as well as the changes in the wind field. The results were as follows. A sudden drop of water temperature was confirmed due to upwelling on the East coast when ninth typhoon Chanhom is transformed from tropical cyclones into extra tropical cyclone, then kept moving eastwards from Pyongyang forming a strong southerly wind after 13th and this phenomenon lasted for two days. The high SST(sea surface temperature) is confirmed due to a strong northerly wind by 11th typhoon Nangka. This strong wind directly affected the east coast for three days causing the Ekman effect which transported high offshore surface waters to the coast. The downwelling occurred causing an accumulation of high temperature surface water. As a results, the SST of 15m and 25m rose to that of 5m.

• 한국환경과학회지
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• 제25권11호
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• pp.1521-1530
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• 2016

As a result of dividing typhoon that affected Korean Peninsular between 1999 and 2012 into 7 types of path and entering forecast field and analysis field of RDAPS, until 36 hours from the time of forecast, it is reliable to use the forecast field of RDAPS to predict typhoon and for each typhoon path, the difference between the forecast and the analysis shows normal distribution, which is usable for weather forecast until the $36^{th}$ hour. In the $48^{th}$ hour from the time of forecast, the difference of result depending on each typhoon path increased, which was analyzed to be due to errors in the forecast. It was expected that relatively reasonable results should be shown if the $36^{th}$ hour forecast is used to predict the strength and distribution of strong wind. As a result of using Korean RAM and observing the difference of the maximum damage, reliability was secured up to 36 hours and after 48hours, it was expected that the fluctuation of results may become more severe.

• 한국해양공학회지
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• 제19권2호
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• pp.12-18
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• 2005

Typhoon Maemi landed on the southeast coast of Korea and caused a severe storm surge in Jinhae Bay and Masan Bay. The tide gage in Masan Port recorded the storm surge of a maximum of more than 2m and the area of more than 700m from the Seo Hang Wharf was flooded by the storm surge. They had not met such an extremely severe storm surge since the opening of the port. Then storm surge was hindcasted with a numerical model. The typhoon pressure was approximated by Myers' empirical model and super gradient wind around the typhoon eye wall was considered in the wind estimation. The land topography surrounding Jinhae Bay and Masan Bay is so complex that the computed wind field was modified with the 3D-MASCON model. The motion of seawater due to the atmospheric forces was simulated using a one-layer model based on non-linear long wave approximation. The Janssen's wave age dependent drag coefficient on the sea surface was calculated in the wave prediction model WAM cycle 4 and the coefficient was inputted to the storm surge model. The result shows that the storm surge hindcasted by the numerical model was in good agreement with the observed one.

• Wind and Structures
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• 제20권2호
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• pp.293-314
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• 2015

In this paper, wireless monitoring of typhoon-induced variation of dynamic characteristics of a cable-stayed bridge is presented. Firstly, cable-stayed bridge with the wireless monitoring system is described. Wireless vibration sensor nodes are utilized to measure accelerations from bridge deck and stay cables. Also, modal analysis methods are selected to extract dynamic characteristics. Secondly, dynamic responses of the cable-stayed bridge under the attack of two typhoons are analyzed by estimating relationships between wind velocity and dynamic characteristics. Wind-induced variations of deck and cable vibration responses are examined based on the field measurements under the two consecutive typhoons, Bolaven and Tembin. Finally, time-varying analyses are performed to investigate non-stationary random properties of the dynamic responses under the typhoons.

• 한국지구과학회지
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• 제40권5호
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• pp.502-517
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• 2019

지구온난화와 급속한 기후 변화는 북서 태평양 내 태풍의 특성에 오랫동안 영향을 미쳤고, 이로 인해 한반도 연안에서 치명적인 재해가 증가하고 있다. 마이크로파 센서의 일종인 Synthetic Aperature Radar (SAR)는 위성 광학 및 적외선 센서로는 바람을 구할 수 없는, 흐린 대기 조건인 태풍 주위에서 고해상도 바람장을 생산할 수 있다. SAR 자료로부터 해상풍을 산출하기 위한 Geophysical Model Functions (GMFs)에는 풍향 입력이 필수적이며, 이는 태풍 중심을 정확히 추정하는 것에 기반해야 한다. 본 연구는 태풍 중심 탐지 방법의 문제점을 개선하고 이를 해상풍 산출에 반영하기 위하여, Sentinel-1A 영상을 이용해 태풍 중심을 추정하였다. 그 결과는 한국 및 일본 기상청이 제공한 태풍 경로자료와 비교하여 검증하였고, Himawari-8 위성의 적외 영상도 활용하여 검증하였다. 태풍의 초기 중심 위치는 VH 편파를 이용해 설정하여 오차의 발생 가능성을 줄였다. 탐지된 중심은 한국 및 일본 기상청에서 제공하는 4개 태풍의 경로 자료와 평균 23.76 km의 차이를 보였다. Himawari-8 위성에서 추정된 태풍 중심에 비교했을 때 결과는 육지 근처에 위치하면서 58.73 km의 큰 차이를 보인 한 태풍을 제외하고는 평균 11.80 km의 공간 변이를 보였다. 이는 고해상도 SAR 영상이 태풍 중심을 추정하고 태풍 주위 해상풍 산출에 활용될 수 있음을 시사한다.

• Journal of the korean society of oceanography
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• 제34권2호
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• pp.73-85
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• 1999

When typhoons passed around the Korea Strait, some observation in this strait carried out by Mizuno et al. (1986) gives us the following oceanographic features; 1) the direction of the observed current was opposite to the northeasterly wind, 2) temperature rapidly increased having a time lag as the depth deepens, after then decreased with oscillation. A primitive equation ocean model that makes use of a sigma-coordinate system and incorporates a typhoon model was used to examine the mechanism to generate these phenomena. The model region covers the East China Sea, the Yellow Sea, and a portion of the East Sea (Japan Sea). The model well reproduces the observed features, especially in temperature field, and clearly manifests how the above observed features happened. From early time when the typhoon was located in low latitude, an alongshore northward current in the west of Kyushu (hereafter the West Kyushu Current) is generated by an alongshore wind in the typhoon. This current flows into the eastern channel, as a coastal jet, regardless to the wind field within the Korea Strait during this period. The above observed phenomena are generated by this current. The model results indicate that when typhoons pass around the Korea Strait, the West Kyushu Current is generated, and oceanographic condition in the strait should be greatly influenced by this current.

• Wind and Structures
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• 제31권3호
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• pp.269-285
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• 2020

The statistical characteristics of typhoon wind speed records tend to have a considerable time-varying trend; thus, the stationary wind model may not be appropriate to estimate the wind characteristics of typhoon events. Several nonstationary wind speed models have been proposed by pioneers to characterize wind characteristics more accurately, but comparative studies on the applicability of the different wind models are still lacking. In this study, three landfall typhoons, Ampil, Jongdari, and Rumbia, recorded by ultrasonic anemometers atop the Shanghai World Financial Center (SWFC), are used for the comparative analysis of stationary and nonstationary wind characteristics. The time-varying mean is extracted with the discrete wavelet transform (DWT) method, and the time-varying standard deviation is calculated by the autoregressive moving average generalized autoregressive conditional heteroscedasticity (ARMA-GARCH) model. After extracting the time-varying trend, the longitudinal wind characteristics, e.g., the probability distribution, power spectral density (PSD), turbulence integral scale, turbulence intensity, gust factor, and peak factor, are comparatively analyzed based on the stationary wind speed model, time-varying mean wind speed model and time-varying standard deviation wind speed model. The comparative analysis of the different wind models emphasizes the significance of the nonstationary considerations in typhoon events. The time-varying standard deviation model can better identify the similarities among the different typhoons and appropriately describe the nonstationary wind characteristics of the typhoons.

• Ocean Science Journal
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• 제41권4호
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• pp.245-254
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• 2006

Long term wave climate of both extreme wave and operational wave height is essential for planning and designing coastal structures. Since the field wave data for the waters around Korean peninsula is not enough to provide reliable wave statistics, the wave climate information has been generated by means of long-term wave hindcasting using available meteorological data. Basic data base of hindcasted wave parameters such as significant wave height, peak period and direction has been established continuously for the period of 25 years starting from 1979 and for major 106 typhoons for the past 53 years since 1951 for each grid point of the North East Asia Regional Seas with grid size of 18 km. Wind field reanalyzed by European Center for Midrange Weather Forecasts (ECMWF) was used for the simulation of waves for the extra-tropical storms, while wind field calculated by typhoon wind model with typhoon parameters carefully analyzed using most of the available data was used for the simulation of typhoon waves. Design wave heights for the return period of 10, 20, 30, 50 and 100 years for 16 directions at each grid point have been estimated by means of extreme wave analysis using the wave simulation data. As in conventional methodsi of design criteria estimation, it is assumed that the climate is stationary and the statistics and extreme analysis using the long-term hindcasting data are used in the statistical prediction for the future. The method of extreme statistical analysis in handling the extreme vents like typhoon Maemi in 2003 was evaluated for more stable results of design wave height estimation for the return periods of 30-50 years for the cost effective construction of coastal structures.

• 한국환경과학회지
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• 제16권9호
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• pp.1051-1061
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• 2007

The impact of midlatitude synoptic system (upper-level trough) on typhoon intensity change was investigated by analyzing the spatial and temporal characteristics of vertical wind shear (VWS), relative eddy momentum flux convergence (REFC), and potential vorticity (PV). These variables were computed over the radial mean $300{\sim}1,000km$ from the typhoon center by using GDAPS (Global Data Assimilation and Prediction System) data provided by the Korea Meteorological Administration (KMA). The selected cases in this study are typhoons Rusa (0215) and Maemi (0314), causing much damage in life and property in Korea. Results show that the threshold value of VWS indicating typhoon intensity change (typhoon to severe tropical storm) is approximately 15 m/s and of REFC ranges 6 to 6.5 $ms^{-1}day^{-1}$ in both cases, respectively. During the period with the intensity of typhoon class, PVs with 3 to 3.5 PVU are present in 360K surface-PV field in the cases. In addition, there is a time-lag of 24 hours between central pressure of typhoon and minimum value of VWS, meaning that the midlatitude upper-level trough interacts with the edge of typhoon with a horizontal distance less than 2,000 km between trough and typhoon. That is, strong midlatitude upper-level divergence above the edge of the typhoon provides a good condition for strengthening the vertical circulation associated with the typhoons. In particular, when the distance between typhoon and midlatitude upper-level trough is less than 1,000 km, the typhoons tend to weaken to STS (Severe Tropical Storm). It might be mentioned that midlatitude synoptic system affects the intensity change of typhoons Rusa (0215) and Maemi (0314) while they moves northward. Thus, these variables are useful for diagnosing the intensity change of typhoon approaching to the Korean peninsula.