• Wind and Structures
• /
• 제35권4호
• /
• pp.287-296
• /
• 2022

Analyzing the typhoon wind hazards is crucial to determine the extreme wind load on engineering structures in the typhoon prone region. In essence, the typhoon hazard analysis is a high-dimensional problem with randomness arising from the typhoon genesis, environmental variables and the boundary layer wind field. This study suggests a dimension reduction approach by decoupling the original typhoon hazard analysis into two stages. At the first stage, the randomness of the typhoon genesis and environmental variables are propagated through the typhoon track model and intensity model into the randomness of the key typhoon parameters. At the second stage, the probability distribution information of the key typhoon parameters, combined with the randomness of the boundary layer wind field, could be used to estimate the extreme wind hazard. The Chinese southeast coastline is taken as an example to demonstrate the adequacy and efficiency of the suggested decoupling approach.

• Nuclear Engineering and Technology
• /
• 제51권2호
• /
• pp.607-617
• /
• 2019

Global warming and climate change are increasing the intensity of typhoons and hurricanes and thus increasing the risk effects of typhoon and hurricane hazards on nuclear power plants (NPPs). To reflect these changes, a new NPP should be designed to endure design-basis hurricane wind speeds corresponding to an exceedance frequency of $10^{-7}/yr$. However, the short typhoon and hurricane observation records and uncertainties included in the inputs for an estimation cause significant uncertainty in the estimated wind speeds for return periods of longer than 100,000 years. A logic-tree framework is introduced to handle the epistemic uncertainty when estimating wind speeds. Three key parameters of a typhoon wind field model, i.e., the central pressure difference, pressure profile parameter, and radius to maximum wind, are used for constructing logic tree branches. The wind speeds of the simulated typhoons and the probable maximum wind speeds are estimated using Monte Carlo simulations, and wind hazard curves are derived as a function of the annual exceedance probability or return period. A logic tree decreases the epistemic uncertainty included in the wind intensity models and provides reasonably acceptable wind speeds.

• 한국해양학회지
• /
• 제6권2호
• /
• pp.92-98
• /
• 1971

본고는 지난 12년동안 한국연안에 내습한 태풍 및 각 검조소에 출현한 매년의 최고 이상고조와 1970.8.29∼9.2에 있었던 태풍 빌리호 내습시 남 서해안의 각 검조소에서 얻은 자료에 의하여 해면변화에 대한 사례조사를 시도한 것이다. 한국연안은 매년 빈번한 기상교란 (태풍, 저기압등) 에 의하여 이상고조 또는 기상해일현상이 발생, 항만이나 연안지대에서는 적지 않은 피해를 받고 있으나 이에 관한 조사는 전혀 없었으며, 이후 연안지대의 고도이용이나 연안방재를 위하여 먼저 정확한 사례조사가 필요하다고 본다.

• 대기
• /
• 제20권3호
• /
• pp.247-260
• /
• 2010

A recent dramatic increase of natural hazards in the Korean peninsular (KP) due to typhoons have raised necessities for the accurate typhoon prediction. Ieodo ocean research station (IORS) has been constructed in June 2003 at the open ocean where typhoons pass frequently, aiming to observe typhoons before the landfall to the KP and hence to improve the prediction skill. This paper investigates the importance of measurements at the IORS in the typhoon research and forecast. Analysis of the best track data in the N. W. Pacific shows that about one typhoon passes over the IORS per year on the average and 54% of the KP-landfall typhoons during 59 years (1950-2008) passed by the IORS within the range of the 150-km radius. The data observed during the event of typhoons reveals that the IORS can provide useful information for the typhoon prediction prior to the landfall (mainland: before 8-10 hrs, Jeju Island: before 4-6 hrs), which may contribute to improving the typhoon prediction skill and conducting the disaster prevention during the landfall. Since 2003, nine typhoons have influenced the IORS by strong winds above 17m/s. Among them, the typhoon Maemi (0314) was the strongest and brought the largest damages in Korea. The various oceanic and atmospheric observation data at the IORS suggest that the Maemi (0314) has kept the strong intensity until the landfall as passing over warm ocean currents, while the Ewiniar (0603) has weakened rapidly as passing over the Yellow Sea Bottom Cold Water (YSBCW), mainly due to the storm's self-induced surface cooling. It is revealed that the IORS is located in the best place for monitering the patterns of the warm currents and the YSBCW which varies in time and space.

• 한국방재학회:학술대회논문집
• /
• 한국방재학회 2007년도 정기총회 및 학술발표대회
• /
• pp.487-491
• /
• 2007

Recently, rainfall induced hazard has been increased gradually, for example, typhoon Rusa in 2002 and Maemi in 2003. In addition, localized heavy rainfall has been also caused tremendous damage to railroad systems. Measured data from the Meteorological Adminstration sometimes, However, are not in accordance with those of rain gauges in local area, because of its good distance. This study develop automatic alarming software to estimate and prevent these kind of rainfall induced hazards in railroad system with online transportation.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2016년도 학술발표회
• /
• pp.189-189
• /
• 2016

To generate information that contributes to climate change risk management, it is important to perform a precise assessment on the impact in diverse aspects. Considering this academic necessity, Japanese government launched continuous research project for the climate change impact assessment, and one of the representative project is Program for Risk Information on Climate Change (Sousei Program), Theme D; Precise Impact Assessment on Climate Change (FY2012 ~ FY2016). In this research program, quantitative impact assessments have been doing from a variety of perspectives including natural hazards, water resources, and ecosystems and biodiversity. Especially for the natural hazards aspect, a comprehensive impact assessment has been carried out with the worst-case scenario of typhoons, which cause the most serious weather-related damage in Japan, concerning the frequency and scale of the typhoons as well as accompanying disasters by heavy rainfall, strong winds, high tides, high waves, and landslides. In this presentation, a framework of comprehensive impact assessment with the worst-case scenario under the climate change condition is introduced based on a case study of Theme D in Sousei program There are approx. 25 typhoons annually and around 10 of those approach or make landfall in Japan. The number of typhoons may not change increase in the future, but it is known that a small alteration in the path of a typhoon can have an extremely large impact on the amount of rain and wind Japan receives, and as a result, cause immense damage. Specifically, it is important to assess the impact of a complex disaster including precipitation, strong winds, river overflows, and high tide inundation, simulating how different the damage of Isewan Typhoon (T5915) in 1959 would have been if the typhoon had taken a different path, or how powerful or how much damage it would cause if Isewan Typhoon occurs again in the future when the sea surface water temperature has risen due to climate changes (Pseudo global warming experiment). The research group also predict and assess how the frequency of "100-years return period" disasters and worst-case damage will change in the coming century. As a final goal in this research activity, the natural disaster impact assessment will extend not only Japan but also major rivers in Southeast Asia, with a special focus on floods and inundations.

• 지질공학
• /
• 제15권4호
• /
• pp.435-445
• /
• 2005

본 연구에서 는 2002년 태풍 "루사(Rusa)"와 2003년 태풍 "매미(Meami)"에 의한 집중호우시 삼척 지역에 발생된 산사태를 조사하여, 대상지역의 강우와 산사태의 관계를 규명하였다. 삼척지역의 연평균강우량은 $1,200\~l,300mm$이며, 2002년 및 2003년에는 태풍 "루사" 및 "매미"로 인한 집중호우로 인하여 연평균강우량이 2,000mm이상으로 증가되었음을 알 수 있다. 최대시간강우강도와 2일간 누적 강우량이 상대적으로 큰 지역에서 산사태 발생 개소 및 붕괴 면적 이 크게 발생되고 있으므로, 산사태는 강우강도와 누적강우량에 직접적인 영향을 받고 있음을 확인할 수 있다. 삼척 지역에서 발생된 산사태는 태풍에 의한 집중호우에 의한 것이므로 산사태 발생 당일 최대 시간강우강도에 크게 영향을 미치는 것으로 나타났다. 합리적인 산사태 발생 규모를 예측하기 위하여 기존의 방법을 종합적으로 적용하여 최대시간강우강도와 산사태 붕괴 면적을 모두 고려할 수 있는 새로운 방법을 제안하였다. 기존의 방법 및 새로 제안된 방법을 적용한 결과 삼척지역의 산사태 발생규모는 대규모 산사태임을 알 수 있다.

• Nuclear Engineering and Technology
• /
• 제47권1호
• /
• pp.59-65
• /
• 2015

Background: After the Fukushima accident, the importance of hazard analysis for extreme external events was raised. Methods: To analyze typhoon-induced hazards, which are one of the significant disasters of East Asian countries, a statistical analysis using the extreme value theory, which is a method for estimating the annual exceedance frequency of a rare event, was conducted for an estimation of the occurrence intervals or hazard levels. For the four meteorological variables, maximum wind speed, instantaneous wind speed, hourly precipitation, and daily precipitation, the parameters of the predictive extreme value theory models were estimated. Results: The 100-year return levels for each variable were predicted using the developed models and compared with previously reported values. It was also found that there exist significant long-term climate changes of wind speed and precipitation. Conclusion: A fragility analysis should be conducted to ensure the safety levels of a nuclear power plant for high levels of wind speed and precipitation, which exceed the results of a previous analysis.

• 한국제4기학회지
• /
• 제21권1호
• /
• pp.27-36
• /
• 2007

90년대 이후 세계적으로 집중호우와 같은 자연재해에 문화재가 극심한 피해를 입고 있다. '05년도 문화재 보수건수는 '86년 건수 대비 거의 6배에 달하고, 특히 경상도와 전라도의 보수실적이 전국의 63%를 차지하였다. 이는 90년대 이후 발생한 태풍이 대개 남해안으로 상륙하여 북상하는 형태였고 경로에 해당하는 전남 및 경남 지역에 막대한 피해를 주었기 때문인 것으로 판단된다. 석조문화재 보수자료를 기반으로 현지조사를 거쳐 자연재해 발생 가능성이 높은 석조문화재를 예비 분석하였다. 이의 분포현황을 보면 토사재해와 사면 붕괴 등 사면과 관련된 재해가 58% 이상을 차지하였는데, 이는 석조문화재 중 사면에 분포하는 것이 59%로 다수를 차지하고 이들은 집중호우가 발생하면 산사태나 토사이동으로 인한 재해에 대해 매우 취약하기 때문이다. 집중호우 하에서는 산사면 표층수 또한 높은 에너지를 가지고 흐르면서 석조문화재 지반의 토양을 침식시킬 수 있다. 마애불과 같이 자연상태의 암석을 이용한 석조문화재 중, 전석상태의 것은 침식이나 지반침하 등의 지반변화에 매우 민감하게 반응하여 지반에 변화가 오면 기울음이나 전도 등의 피해를 볼 수 있다. 자연재해가 발생할 수 있는 석조문화재의 분포는 '90년대 이후의 5대 태풍의 전체 강우분포와 관련성이 보여 2등급 정도의 범주 안에 들어온다. 특히 태안반도와 경기의 일부 문화재는 전체 강우분포도 보다는 태풍올가 등의 강우분포와 관련성이 높은 것으로 판단된다.

• Wind and Structures
• /
• 제30권1호
• /
• pp.1-13
• /
• 2020

The loss prediction and assessment during extreme events such as wind hazards is always crucial for the group low-rise residential buildings. This paper analyses the effect of variation in building density on wind-induced loss for low-rise buildings and proposes a loss assessment method consequently. It is based on the damage matrices of the building envelope structures and the main load-bearing structure, which includes the influence factors such as structure type, preservation degree, building density, and interaction between different envelope components. Accordingly, based on field investigation and engineering experience, this study establishes a relevant building direct economic loss assessment model. Finally, the authors develop the Typhoon Disaster Management System to apply this loss assessment methodology to practice.