• 한국해안·해양공학회논문집
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• 제21권1호
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• pp.1-14
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• 2009

태풍의 주요 매개변수 변화에 따른 영향을 판단하는데 용이하도록 직선화된 가상태풍을 생성시켰다. 이러한 가상태풍 모의를 통해 경남해역을 대상으로 해일양상 변화를 고찰하였다. 이를 위해 태풍 MAEMI(0314)를 직선화한 가상태풍의 적절성을 검토한 후, 총 175개 CASE의 가상태풍모의를 수행하였다. 모의결과, 마산과 통영 해역은 지형적인 영향으로 다른 해역에 비해 상대적으로 높은 해일고가 발생되는 것으로 나타났다. 특히 마산해역의 경우 MAEMI와 동일한 강도의 태풍 내습시 경로에 따라 최대 2.50 m의 해일고가 발생 가능한 것으로 모의되었다. 마산 이외의 해역에서는 태풍 MAEMI의 해일고가 최대치에 근접하는 결과를 보여 MAEMI의 경로가 최악의 피해를 주는 경로였던 것으로 판단된다. 기압에 의한 수위 상승효과는 바람에 비해 상대적으로 크게 작용하며, 태풍의 중심에서 그 효과는 최대가 되는 것으로 나타났다.

• Water Engineering Research
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• 제7권1호
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• pp.29-41
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• 2006

The Imha watershed is vulnerable to severe erosion due to the topographical characteristics such as mountainous steep slopes. Sediment inflow from upland area has also deteriorated the water quality and caused negative effects on the aquatic ecosystem of the Imha reservoir. The Imha reservoir was affected by sediment-laden density currents during the typhoon 'Maemi' in 2003. The RUSLE model was combined with GIS techniques to analyze the mean annual erosion losses and the soil losses caused by typhoon 'Maemi'. The model is used to evaluate the spatial distribution of soil loss rates under different land uses. The mean annual soil loss rate and soil losses caused by typhoon 'Maemi' were predicted as 3,450 tons/km2/year and 2,920 ton/km2/'Maemi', respectively. The sediment delivery ratio was determined to be about 25% from the mean annual soil loss rate and the surveyed sediment deposits in the Imha reservoir in 1997. The trap efficiency of the Imha reservoir was calculated using the methods of Julien, Brown, Brune, and Churchill and ranges from 96% to 99%.

• 한국해양학회지:바다
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• 제9권3호
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• pp.119-129
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• 2004

2003년 9월 12일에 태풍 “매미”가 남해안으로 상륙하면서 발생한 광양만의 해일고를 산정한 결과, 고조위 편차는 93∼108 cm이고, 최대 조위편차는 176∼196 cm로 나타났다. 최대 조위편차를 요인별로 분석하면 기압강하에 의한 해면상승이 59 cm, 섬진강 홍수로 인한 수위 상승이 4∼5 cm, 그리고 외해로부터 해일파의 전파 및 강풍에 의한 해면상승이 l13∼132 cm이다. 이번에 광양항(PT3)에서의 실측 최고조위 460 cm는 광양제철소 부지 설계시에 추정한 100년 빈도 설계조위 455 cm보다 5 cm 높고, 1987년 태풍 “셀마” 통과시에 기록된 기왕 고극조위 445 cm보다 15 cm높은 조위로서, 과거 20년 간의 최대 고극조위를 나타냈다.

• 한국해안·해양공학회논문집
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• 제21권2호
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• pp.164-173
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• 2009

상용 해수유동 모형인 MIKE21 모형의 범람모의 적용성을 평가하기 위하여 월류량 산정기법이 적용된 해일범람모형과 함께 마산만에 적용하였다. 두 모형 모두 관측된 침수범위 및 침수고와 거의 일치하는 결과를 보여 정밀격자의 해일범람모형으로써의 적용성을 확인할 수 있었다. 특히 조간대 모의기법을 확장적용한 MIKE21 모형의 결과가 범람모형의 결과에 비해 뒤지지 않는 결과를 보여 범람에의 적용성은 매우 높은 것으로 판단된다. 또한 선행연구에서 도출된 가상태풍을 모의한 결과, 침수범위는 MAEMI 내습시와 거의 유사한 반면 침수고가 증가하는 것으로 모의되었다.

• 한국해안해양공학회:학술대회논문집
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• 한국해안해양공학회 2006년도 추계학술대회 발표논문집 Proceedings of Coastal and Ocean Engineering in Korea
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• pp.53-56
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• 2006

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2019년도 춘계 학술논문 발표대회
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• pp.125-126
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• 2019

This study aims to recognize damage indicators of typhoon and to develop damage function's indicators, using information derived from the actual loss of typhoon Maemi. As typhoons engender significant financial damage all over the world, governments and insurance companies, local or global, develop hurricane risk assessment models and use it in quantifying, avoiding, mitigating, or transferring the risks. For the reason, it is crucial to understand the importance of the risk assessment model for typhoons, and the importance of reflecting local vulnerabilities for more advanced evaluation. Although much previous research on the economic losses associated with natural disasters has identified the risk indicators that are indispensable, more comprehensive research addressing the relationship between vulnerability and economic loss are still called for. Hence this study utilizes and analyzes the actual loss record of the typhoon Maemi provided by insurance companies to fill such gaps. In this study, natural disaster indicators and basic building information indicators are used in order to generate the vulnerability functions; and the results and indicators suggest a practical approach to create the vulnerability functions for insurance companies and administrative tasks, while reflecting the financial loss and local vulnerability of the actual buildings.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2004년도 춘계학술발표회논문집
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• pp.131-137
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• 2004

GPS/Meteorology technique for PWV monitoring is currently actively being researched an advanced nation. We deal with the monitoring of GPS derived PWV during the passage of Typhoon MAEMI. Typhoon MAEMI which caused a series damage was passed over in Korea peninsula from September 12 to September 13, 2003. We obtained GPS-PWV at 17th GPS permanent stations. We retrieve GPS data hourly and use Gipsy-Oasis II software. The GPS-PWV time series results demonstrate that PWV is, in general, high before and during the occurrence of the typhoon, and low after the typhoon.

• 한국환경과학회지
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• 제23권3호
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• pp.459-472
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• 2014

Storm surge height in the coastal area of Jeju Island was examined using the Princeton Ocean Model(POM) with a sigma coordinate system. Amongst the typhoons that had affected to Jeju Island for six years(1987 to 2003), the eight typhoons(Maemi, Rusa, Prapiroon, Olga, Yanni, Janis, Gladys and Thelma) were found to bring relatively huge damage. The storm surge height of these typhoons simulated in Jeju harbour and Seogwipo harbour corresponded relatively well with the observed value. The occurrence time of the storm surge height was different, but mostly, it was a little later than the observed time. Jeju harbour showed a higher storm surge height than Seogwipo harbour, and the storm surge height didn't exceed 1m in both of Jeju harbour and Seogwipo harbour. Maemi out of the eight typhoons showed the maximum storm surge height(77.97 cm) in Jeju harbour, and Janis showed the lowest storm surge height(5.3 cm) in Seogwipo harbour.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2003년도 학술발표논문집
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• pp.91-94
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• 2003

In this study we propose the improvement countermeasure of disaster prevention by analyzing the damage cause and issue point from examination by Typhoon "maemi" in Kyongsangnamdo region. The main damage cause by Typhoon "maemi" in this region is the rising of water level in river and the overflowing of bank. The basic countermeasure is executing the disaster policy enforcement for the improvement of agriculture infrastructure facilities.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2007년도 학술발표회 논문집
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• pp.126-131
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• 2007

The Imha watershed is vulnerable to severe erosion due to the topographical characteristics such as mountainous steep slopes. The RUSLE model was combined with GIS techniques to analyze the mean annual erosion losses and the soil losses caused by typhoon "Maemi". The model is used to evaluate the spatial distribution of soil loss rates under different land uses. The mean annual soil loss rate and soil losses caused by typhoon "Maemi"were predicted as $3,450\;tons/km^2/year$ and $2,920\;ton/km^2/"Maemi"$, respectively. The sediment delivery ratio was determined to be about 25% from the mean annual soil loss rate and the surveyed sediment deposits in the Imha reservoir in 1997.