• Journal of Korean Society of Coastal and Ocean Engineers
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• v.21 no.1
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• pp.1-14
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• 2009

Linear-tracked typhoons were simulated to investigate the effect of parameter sensitivity at Gyeongnam coastal zone. To do this, appropriateness of the linear-tracked MAEMI(0314) was tested and 175 scenarios were simulated on the basis of virtual MAEMI. The results show surge heights are relatively large at Masan and Tongyeong, and it can be attributed to topographical effects. At Masan, 2.5 m-surge height is probable with the same intensity but slightly different track from the real typhoon MAEMI. At the other stations, surge heights induced by real MAEMI are nearly same as the maximum heights of the virtual typhoons, which indicates the real track of the typhoon MAEMI was almost the most severe one. Surge heights caused by the barometric effect are higher than those by the wind effect, and the former effect shows the maximum at the eye of typhoon.

• Water Engineering Research
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• v.7 no.1
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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%.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.9 no.3
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• pp.119-129
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• 2004

The surges caused by the typhoon “Maemi” which struck the southern coast of Korea are analysed in Kwangyang Bay on September 12, 2003. The deviations of the high water level were 93∼108 cm and the maximum deviations of the water level (maximum surges) were 176∼196 cm in Kwangyang Bay during the typhoon “Maemi”. The major parameters of the maximum deviations of the water level are as follows: Analysis shows that the pressure drop increased the sea level by 59 cm, the flood of the Sumjin River by 4-5 cm and the external surge propagation and wind setup by 113∼132 cm. During the typhoon “Maemi”, the highest high water recorded in Kwangyang Port (PT3) is 460 cm, which is higher by 5 cm than the highest high water (455 cm) with return period of 100 years estimated in planning the Kwangyang steelworks (POSCO) grounds and higher by 15 cm than the observed highest high water (445 cm) recorded during the typhoon “Thelma” on 1987. Thus, the highest high water caused by the typhoon “Maemi” is higher than the extreme highest high water for the last 20 years in Kwangyang Bay.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.21 no.2
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• pp.164-173
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• 2009

MIKE21, a commercial hydrodynamic model, was applied at the Masan Bay to evaluate the model's applicability of simulating the inundation phenomena. A storm surge/inundation model which adopts overflow computation scheme was applied together for comparison. The results of both models show correspondence with not only observed inundation area but also inundation water depth to prove their ability as inundation models. Especially, the accuracy of the MIKE21 model, which just adopts wetting/drying scheme, does not seem to be behind the inundation model. Moreover, an inundation simulation of the virtual MAEMI which was generated at preceding study, was conducted. The inundation area of the virtual MAEMI is similar to that of the real MAEMI, but inundation water depth is deeper than the real MAEMI.

• Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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• 2006.09a
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• pp.53-56
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• 2006

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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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.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.04a
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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.

• Journal of Environmental Science International
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• v.23 no.3
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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.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2003.10a
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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.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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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.