• Journal of Navigation and Port Research
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• v.36 no.6
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• pp.443-448
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• 2012

As a basic data to build a countermeasures against coastal disaster, the conscious survey of people living around the coastal are is needed. This study performed the conscious survey on 5 islands located at Korean southeast ocean including Youngdo of Busan. Among many respondents, 503 effective answers are got and followings are the analyzed results. Among the various kinds of disasters, especially the typhoon(28%), storm surge(19%), earthquake(15%) are selected as menacing disasters in mind to coastal inhabitants. Typhoon(60%) and storm surge(21%) were the representative disasters that the coastal inhabitants experienced. 67% among the respondents get the disaster-related information from TV and/or commercial medias, and other 21% depend on their own experiences. Although 33% of respondents attended the disaster-related training and the training time was less than 2 hours, they answered the training was very helpful. Over 85% among the respondents answered they will evacuate if a disaster occur, but only 19% know the evacuee shelter(s). Except the foods, various living goods are selected and willing to carry with for living at shelter if they have to evacuate.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.125-125
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• 2011

본 연구에서는 기후변화에 의한 자연재해 취약성을 정량적으로 분석하기 위하여 기상인자와 재해발생으로 인한 피해액의 상관관계를 이용하였다. 재해로 인한 피해액은 1994년부터 2008년까지 15년간 전국 시군별로 피해액을 집계한 자료를 이용하였으며, 우리나라 58개 강우관측소의 일강수량 자료를 이용하여 재해에 영향을 줄 수 있는 네 가지 인자를 추출하였고, 연도별 태풍 발생 횟수도 하나의 기상인자로 고려하였다. 피해액의 규모는 가뭄, 화재, 태풍 및 해일 등 재해발생 유형에 따라서도 영향을 받겠지만, 기후변화 시나리오에 의해 예측할 수 있는 대표적인 미래 추정값은 강수량과 온도 등이며, 결국 재해발생 유형별 시나리오에 의한 재해규모 예측이 아닌 기후변화 시나리오에 의한 미래 재해발생 규모 모형을 구축하기 위해서는 관련 인자로서 강수량으로부터 추출한 인자들을 고려할 수밖에 없을 것이다. 일강수량으로부터 추출한 네 가지 영향인자들은 80mm이상 일강수량 발생일수, 80mm이상 일강수량의 합, 80mm이상 강우의 발생 간격이 30일 이하인 횟수 및 연최대강수량이다. 우선 광역시와 도별로 전국 58개 관측소를 분류하고, 해당 관측소들로부터 추출된 인자들의 평균값을 이용하여 연구를 진행하였다. 미래 강수량 자료는 국립기상연구소의 A2시나리오를 통계학적 Downscaling을 통해 재생산한 자료를 이용하였다. 예측모형은 Bayesian 모형을 기반으로 DEXP(double exponential distribution) 확률분포를 이용하였다. 재해피해액 를 아래와 같이 비정상성 모형으로 구성하였으며, 위치매개 변수의 확률분포를 네 가지 기상인자에 의한 회귀식으로 구성하였다. Y damage costs) = dexp(${\mu}(t),\tau(t)$) $p({\mu}(t))\sim(abs({\alpha}+{\alpha}_1X_1+{\alpha}_2X_2+{\alpha}_3X_3+{\alpha}_4X_4,\;\sigma_{\alpha}^2)$ $p(\tau){\sim}G(k,s)$.

• The Korean Journal of Applied Statistics
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• v.13 no.2
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• pp.247-263
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• 2000

Natural catastrophe is defined as all damages caused by natural phenomenon such as typhoon, flood, inundation, windstorm, tidal wave, tremendous snowfall, drought,earthquake and to on It is classified at a huge hazard because of the large severity ofdamage In Korea, Fire Insurance policy includet the coverage clauses and rates of naturalcatastrophe like'Flood , Inundation Coverage Clause'and'Earthquake Coverage Clause'These clauses and rates do not reflect accurate risk of flood, inundation and earthauakein Korea. because those are tariff from other countries Hence, we determine the claimsize distributions and the rates for typhoon coverage and flood-inundation coverage byusing statistical methods which have not been used so far in Korean non-life insurance,and calculate appropriate premium for policyholder's interest

• Journal of Korea Port Economic Association
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• v.29 no.4
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• pp.289-323
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• 2013

This study set out to estimate and compare benefits of damage in case of storm surge at the Masan Port by using two of the most representative methodologies used to estimate benefits in port disaster prevention facility construction, namely CVM(contingent valuation method), which estimates the values of non-market goods, and MD-FDA(multi-dimensional flood damage analysis), which had usually been implemented in flood or dam projects. The benefit estimation for 30 years of costs was 2.5689 trillion won for CVM and 2.9596 trillion won for MD-FDA, which indicates that there was no big difference in benefits among disaster prevention facilities. However, in-depth testing should follow to figure out whether MD-FDA can replace CVM, which has been tested with non-market goods, when estimating the benefits of disaster prevention facilities based on those findings.

• Journal of Ocean Engineering and Technology
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• v.19 no.6 s.67
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• pp.22-28
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• 2005

We investigated the characteristics of the overflow/wave overtopping, induced by the storm surge and high waves in Masan bay and Busan Coast during Typhoon 'Maemi', which landed at the southeast coast of the Korean peninsula on September, of 2003, causing a severe inundation disaster. Characteristics of the water level, increase by the overflow / wave overtopping, were discussed in two patterns. One is the increase of water level in the region, located inside of a bay, like Masan fishing port, and the waves are relatively small. The other is in the open sea, in which the waves act directly, as on the seawall in Suyong bay. In the former region, the water level increase was affected by the storm surge, as well as the long period oscillation and waves. In Masan fishing port, about $80\%$ of the water level increase on the quay wall was caused by the storm surge. In the latter one, it was greatly affected by the wave run-up. In Suyong bay, about $90\%$ of the water level increase on the seawall was caused by the wave run-up.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.4
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• pp.155-164
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• 2005

The coast has been known as very vulnerable area. This area has nature disasters such as typhoon, tidal wave, flood and storm almost every year. In this study, coast vulnerable area information management system was developed to manage the coastal facilities and vulnerable area through Web GIS. This system is able to visualize the damage area and support the official work related to coast as efficient DSS(Decision Supporting System). Moreover, the foundation for domestic coast information management is expected by acquiring less cost and time. For this, GIS DB was first constructed by acquiring damage factor data such as typhoon, tidal wave, flood and storm. Then GIS analysis methods and high resolution satellite images are used to possibly present the results of retrieve as table, map, graph, inundation simulation in real time.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.154-163
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• 2018

Not only South Korea but also Global world show that the frequency and damages of large-scale natural disaster due to the rise of heavy rain event and typhoon or hurricane intensity are increasing. Natural disasters such as typhoon, flood, heavy rain, strong wind, wind wave, tidal wave, tide, heavy snow, drought, earthquake, yellow dust and so on, are difficult to estimate the scale of damage and spot. Also, there are many difficulties to take action because natural disasters don't appear precursor phenomena However, if scale of damage can be estimated, damages would be mitigated through the initial damage action. In the present study, therefore, wind wave damage estimation functions for the western coastal zone are developed based on annual disaster reports which were published by the Ministry of Public Safety and Security. The wind wave damage estimation functions were distinguished by regional groups and facilities and NRMSE (Normalized Root Mean Square Error) was analyzed from 1.94% to 26.07%. The damage could be mitigated if scale of damage can be estimated through developed functions and the proper response is taken.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.65-65
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• 2012

인류의 역사는 태풍, 지진, 해일, 홍수 그리고 가뭄 등과 같은 자연재해와의 끊임없는 투쟁으로 점철되어왔다. 최근 들어 지구 온난화는 인류의 생존에 커다란 위협으로 대두되었다. 우주시대에 접어들면서 인간의 활동은 지구 대기권 밖으로까지 확대되면서 인간의 사회 경제적인 활동이 인공위성을 위시하여 매우 정밀한 기기에 의존하게 되었다. 그러나 인공위성과 더불어 현대사회를 지탱하는 전력, 통신, 운송 등과 같은 사회기반시설들은 태양활동에 매우 취약하다는 점이 확인되었다. 태양에서 플레어나 CME가 발생하면 X-선 복사와 더불어 고에너지 하전입자가 방출되면서 지구주변 우주환경에 급격한 변화가 일어난다. 이 기간 동안 인공위성, 전력, 통신, 항법 등이 영향을 받아 다양한 사회 경제적인 손실이 유발된다. 따라서 태양활동으로 인한 이들 시설의 붕괴 내지는 기능 저하는 현대사회의 근간을 훼손하는 이제까지 경험하지 못했던 새로운 형태의 자연재해가 될 것이다. 이 논문에서는 역사적으로 우주환경의 급격한 변화가 야기한 문제점들을 살펴보고 태양활동이 장래에 인류의 삶에 어떠한 영향을 미칠지를 전망하고자 한다.

• TTA Journal
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• s.131
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• pp.30-39
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• 2010

급격한 기후변화에 의한 집중호우 및 소리 없이 쌓이는 폭설과 잦은 매머드급 태풍 그리고 지진과 해일, 화산활동 등의 자연재해가 언제 어떻게 일어날지 모르는 상황에서 국가는 국민의 생명과 재산을 보호해야 할 막중한 과제를 안고 있습니다. 또한 자연재해뿐 아니라 공공기관에 대한 테러와 자원쟁탈을 위한 국지적인 전쟁과 같은 참사가 지구상에서 수시로 발생하고 있으며, 원자로의 방사능 누출과 지하철이나 철도의 충돌사고 및 가스폭발사고와 초고층 대형 빌딩이나 지하터널, 해저터널 같은 대형구조물의 붕괴 등 인공재난이 수시로 발생하고 있습니다. 이와 같이 재난발생은 대형화 및 다양화되고 있으며, 복합화된 형태로 발생하여 단일 기관으로는 대응하는 데 어려움이 있어서 범 국가적인 통합지휘체계에 의한 재난 관리 및 재난 대응이 필요합니다. 이러한 대형 참사를 사전에 예방하고, 재난 발생시 신속히 대응하여 인명과 재산피해를 최소화하는 방안으로 어떠한 재난 통신 방안이 있으며, 관련 기술 표준과 선진국 등의 구축사례를 통하여 우리나라는 제대로 재난 통신 및 방송이 구축되어 있는 지 살펴보고 이를 통하여 유비무환(有備無患) 및 거안사위(居安思危)의 정신으로 언제 닥칠지 모르는 국가재난에 미리미리 대비하는 계기가 되었으면 합니다.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.26 no.5
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• pp.292-299
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• 2014

Since most of the researches on the coastal inundation due to typhoons have considered only storm surges, an additional inundation due to rainfall has been neglected. In general, typhoons are natural disasters being accompanied by the rainfall. Thus, it is essential to consider the effect of rainfall in the numerical simulation of coastal inundation due to storm surges. Because the rainwater is discharged to the sea through the storm sewer system, it should be included in the numerical simulation of storm surges to obtain reasonable results. In this study an algorithm that can deal with the effects of rainfall and sewer system is developed and combined with a conventional storm surge numerical model. To test the present numerical model various numerical simulations are conducted using the simplified topography for the cases including the inundation due to rainfall, the drainage of rainwater, the backflow of sea water, and the increase of sea water level due to drainage of rainwater. As a result, it is confirmed that the basic performance of the present model is satisfactory for various flow situations.