• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 2010.04a
• /
• pp.429-431
• /
• 2010

태풍 및 지형에 대한 컴퓨터 시뮬레이션과 기상관측자료에 대한 분석을 통해 장대교량의 가설위치에서 발생할 수 있는 풍환경을 분석하고 설계풍속을 산정하였다. 설계풍속의 산정은 내풍 설계를 위한 하중을 결정하는 과정으로 내풍설계의 기본이 되는 부분이다. 풍환경 분석 과정은 Monte Carlos(이하 MC) 태풍 시뮬레이션 분석, Gumbel 극치분석, CFD 지형효과 분석으로 구성된다. MC 태풍시뮬레이션 분석을 통해 태풍시기(6~10월)의 재현주기별 강풍발생빈도를 도출하였다. Gumbel 극치분석을 통해 인근의 기상관측자료로부터 전년도에 대한 재현주기별 강풍발생빈도를 도출하였다. CFD 지형효과 분석을 통해 분석대상지역의 주변지형으로 인한 풍속증감효과를 분석하였다. 각 결과를 종합하여 보수적인 재현주기별 설계풍속을 산정하였다.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.29 no.2
• /
• pp.141-148
• /
• 2016

The long-span bridges such as Incheon Bridge and Seohae Grand Bridge are located on the coastal region effected frequently by strong wind of typhoons. In order to ensure the wind-resistant performance of the structure, estimation of the proper design wind speed is very important. In this study, stochastic estimation of design wind speed incurred by typhoons is carried out. For this purpose, we first established probability distribution of climatological parameters such as central pressure depth, distance of closest approach, translation speed and heading to build statistical model of typhoons, which are employed in Monte Carlo simulation for hypothetical typhoons. Once a typhoon is generated with statistically justified parameters, wind speeds are estimated along its path using wind field model. Thousands of typhoons are generated and their peak wind speeds are utilized to establish the extreme wind speeds for different return period. The results are compared with design basic wind speeds in Korean Highway Bridge Design Code, showing that the present results agree well with similar studies while the existing code suggests higher design wind speed.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.28 no.4A
• /
• pp.431-438
• /
• 2008

An updated Monte Carlo procedure for Typhoon simulation is presented to estimate the extreme wind speed at typhoon prone southern and western coasts in Korea. The reconstructed wind field model for typhoon in this study is compared with measured typhoon data for validation. The fitness of the proposed probability distribution models for typhoon parameters are tested by using data for the typhoon passed near the specific site. The simulated maximum wind speed associated with various return periods along southern and western coasts indicate that the extreme wind speed gradually increases inversely according to latitude of the coast, and that the basic wind speeds given in Korea Bridge Design Code are excessive compared with present results.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.439-439
• /
• 2022

인공위성은 위성통신, 기상 등 다양한 분야에서 활용되고 있지만 재난과 위성영상 특성 매칭의 제약으로 재난 상황에서는 제한적으로 사용되었다. 국내외 위성 갯수의 증가로 위성영상을 준-실시간으로 확보 가능함에 따라 활용할 수 있는 범위가 증가하여 최근에는 재난·재해에 신속하게 대비하기 위한 연구가 활발히 진행되고 있다. 본 연구는 재난 발생 지역의 위성 영상 확보를 위해 촬영된 영상과 미래시점의 촬영 예정인 영상의 촬영 예정 시간 및 영역을 빠른 시간 내 분석하여 최적 위성영상 확보에 기반이 되고자 한다. 행정안전부에서 분류한 재난·재해 유형에 따라 재난 예측, 탐지, 사후처리를 위한 위성자료의 확보를 위하여 다양한 위성과 탑재된 센서들의 궤도, 공간 해상도, 파장대 등의 위성영상의 적시성을 분석하여 최적 위성을 정의하였다. 위성 궤도 시뮬레이션은 TLE(Two Line Element) 정보를 이용하는 SGP4(Simplified General Perturbations version 4) 모델에 적용하여 개발하였다. 최신 TLE 정보를 이용하여 위성 궤도 정보 및 센서 정보(공간 해상도, Swath width, incidence angle IFOV 등)을 적용하였다. 수집된 위성 궤도 정보를 기반으로 위성의 궤도를 예측하여 예측된 위치에서의 촬영 영역을 산정하는 분석 기능을 수행하여 최종 시뮬레이션 데이터를 생성한다. 개발된 위성 궤도 시뮬레이션 알고리즘을 토대로 태풍 미탁 사례에 적용하였다. 위성 궤도 시뮬레이션 알고리즘을 태풍 미탁 사례에 적용한 결과 다종 위성리스트 중 위성 궤도 분석을 통해 최단기간 획득 가능한 위성 중 정지 궤도 기상위성인 Himawari-8, GK-2A는 태풍 경로 모니터링, 광학 위성인 Sentinel-2, PlanetScope는 건물 피해 지역, SAR 위성인 Sentinel-1, ICEYE는 홍수 지역을 탐지하는데 최적 위성 영상으로 분석되었다.

• Proceedings of KOSOMES biannual meeting
• /
• 2017.11a
• /
• pp.242-242
• /
• 2017

• Journal of Korean Society of Coastal and Ocean Engineers
• /
• v.28 no.1
• /
• pp.53-62
• /
• 2016

Extreme wind speeds at four sites including Mokpo, Gunsan, Incheon and Jeju near the Western Coast have been estimated with a tool of Monte Carlo simulation and typhoon data. Results of sensitivity analysis show that closeness between distance to the eye and the radius to maximum wind is most sensitive. While location angle and pressure deficit are sensitive too, but translation velocity is not. A standard typhoon, which results in extreme wind speeds having various return period, can be constructed by combination of parameter informations of each site. Then, with a numerical modelling of the typhoon, extreme surge heights having the same return period can also be obtained. To be added, by analysing the data which only including those based on navigable semicircle, it is possible to produce a standard typhoon which could result in setting-down of sea level.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.7 no.4
• /
• pp.159-165
• /
• 1987

This study proposes an operational method of typhoon risk assessments in Korea, using Statistical analysis and probabilistic description of typhoon at a site. Two alternative simulation and fitting methods are discussed to predict the probabilistic typhoon wind speeds by indirect methods. A Commonly used indirect method is Russell's procedure, which generates about 1,000 Simulation data for typhoon winds, statistically evaluate the base-line distribution, and then fits the results to the Weibull distribution based on probabilistic description of climatological Characteristics and Wind field model of typhoon at a site. However, an alternative procedure proposed in this Paper simulates extreme typhoon wind data of about 150~200 years and directly fits the generated data to the Weibull distribution. The computational results show that the proposed simulation method is more economical and reasonable for typhoon risk-assessment based on the indirect method. And using the proposed indirect method, the probabilistic design wind speed for transmission towers in typhoon-prone region along the South-Western coast is investigated.

• Journal of Korean Society of Coastal and Ocean Engineers
• /
• v.20 no.1
• /
• pp.128-136
• /
• 2008

Recently, the unusual climate change is happening from the global warming in the whole world, the Korean peninsula is also no exception. It is predicted by many researchers that, in the near future, the Super-Typhoon of overwhelming power will occur due to rising temperatures on the sea surface around the Korean peninsula. In this study, numerical simulation has been performed with the Super-Typhoons which combined route of Typhoon Maemi with typhoon conditons of Hurricane Katrina (New Oleans in U.S.A, 2005), Typhoon Durian (philippine, 2006) and Typhoon Vera (Ise Bay in Japan, 1959) at Busan and Gyeongnam coastal area which has been badly damaged due to storm surge every year. From the numerical results, it is revealed that the storm surge heights of the Super-Typhoons are higher than that of Maemi, specially the storm surge height in the case of Katrina is about 4 times larger. So, it can be pointed out that the construction of countermeasures against disasters are very important in order to prepare against an attack of the Super-Typhoons.

• Journal of Navigation and Port Research
• /
• v.34 no.6
• /
• pp.453-458
• /
• 2010

This paper studies relationship between global warming and trends of typhoon variation by using the meteorological long-term data. The results show that yearly mean typhoon's occurrence numbers decrease and maximum wind speeds strengthen gradually. These results are in accord with most of simulated results. While the normal course of typhoon is increased, the westward course of that is decreased. Typhoon trajectories show that the ratios of normal course 6 : westward course 3 : abnormal course 1 in the last 10 years. Among typhoons which affect to the Korea ones pass through the southern coast of Korea are the most. The numbers of typhoon pass through the western coast of Korea are decreased and those pass through the eastern coast of Korea show increasing trend lately. The notable point in relation to the global warming is that typhoon intensity is strengthened gradually. Watch and counterplan in the viewpoint of prevention to the meteorological disasters are required.

• Proceedings of the Korea Contents Association Conference
• /
• 2017.05a
• /
• pp.291-292
• /
• 2017

한국과학기술정보연구원 융합기술연구본부 재난대응HPC연구센터에서는 초고성능컴퓨팅 기반의 풍수해 예측 및 피해 정보 생산기술을 연구개발하여 재난 재해에 대한 국가현안 대응 의사결정지원 시스템을 구축 중에 있다. HPC 기반의 풍수해 예측 시스템과 빅데이터 분석 기반의 피해 예측 시스템에 대한 연구를 독자적으로 진행하는 가운데, 최근 여러 분야에 적용되고 있는 빅데이터 분석 기술을 HPC 기반의 풍수해 예측 시스템에 적목시켜 더 정확하고 신속한 풍수해 예측 정보 생산에 기여하고자 한다. 본 연구는 빅데이터 분석을 위한 학습 데이터 생산을 목적으로 HPC 기반 태풍 예측의 주요 기상 인자들을 조정하여 서로 다른 성능의 예측 모델을 구축하고, 각 모델 별 태풍 시뮬레이션의 성능을 진단하였다. 향후 빅데이터 분석을 통한 예측 성능의 검증을 위해 HPC 기반 풍수해 예측 및 검증 데이터를 최대한 생산하고자 한다.