• 한국농공학회지
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• 제38권5호
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• pp.64-73
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• 1996

When typhoon occurs, the meteorological conditions get worse and can cause a large damage from storm and flood . This damage, however, can be minimized if a precise analysis of the runoff characteristics by typhoon tracks is used in the flood contorl This paper aims at the analysis of storm occurrence and runoff characteristics by typhoon tracks in Nakdong river basin. Therefore, the data of 14 typhoons which invaded Nakdong river basin during the period from 1975 to 1991 were collected, analyzed, and studied. The major results of this study are as followings; 1) The frequency of the typhoon occurrence here in Korea was affected by the storms three times a year on the average. The highest-recorded frequency was during the months of July to September. 2) The survey of the track characteristics depending on the forms of the storm in the Nakdong river basin showed that typhoon storm advanced from the south of the basin to the north, while the frontal type storm was most likely to advanced from the west to the north. 3) Typhoon tracks are classified into three categories, 6 predictors with high correlation coefficient are finally selected, and stepwise multiple regression method are used to establish typhoon strom forecasting models. 4) The riview on the directions of progress of the storm made it clear that the storm moving downstream from upstream of the basin could develop into peak discharge for ca short time and lead to more flood damage than in any other direction.

• 한국해양공학회지
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• 제20권3호
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• pp.37-44
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• 2006

Each year, the coast of Busan is badly damaged, due to storm surge. The damages are greatly dependent upon the local peculiarities of the region in which the storm surge occurs. So, in order to prevent/reduce recurrence of the disaster due to the storm surge, it is very important to investigate the fluctuation characteristics of the storm surge height, related to the local peculiarities at each coastal area in which the occurrence of the disaster is expected. In this paper, using the numerical model, the storm surge was simulated to examine its fluctuation characteristics at the coast of Busan Typhoons of Sarah (5914), Thelma (8705) and Maemi (0314), which caused terrible damage to the coastal areas alongthe coast of Busan in the past, were taken as an object of the storm surge simulations. Moreover, the storm surge due to virtual typhoons, which were combined with the characteristics of each proposed typhoon (Maemi, Sarah, Thelma), compared to the travel routes of other typhoons, was predicted. As expected, the results revealed that the storm surge heights are enhanced at the coastal region with the concavity like a long-shaped bay. Also, the storm surge heights, due to each typhoon, were compared and discussed at major points along the coast of Busan, related to the local peculiarities, as well as the characteristics and the travel route of the typhoon.

• 한국해양공학회지
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• 제20권3호
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• pp.45-53
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• 2006

Each year, the south coast of Korea is badly damaged from storm surge. The damages are greatly dependent upon the local peculiarities of the region where the storm surge occurs. So, in order to prevent/reduce recurrence of the disaster, it is very important to investigate the fluctuation characteristics of the storm surge height, related to the local peculiarities at each coastal area where occurrence of the disaster is expected. In this paper, using the numerical model, the storm surge was simulated to examine its fluctuation characteristics at the Gyeongnam coast (southeast coast of Korea). Typhoons of Sarah (5914), Thelma (8705) and Maemi (0314), which caused terrible damage to the coastal area in the southeast coast of Korea in the past, were used forstorm surge simulations. Moreover, the storm surge due to virtual typhoons, which were combined the characteristics of each proposed typhoons (Maemi, Sarah, Thelma)with the travel route of other typhoon, was predicted. As expected, the results revealed that the storm surge heights are enhanced at the coastal regions with the concavity like a long-shaped bay. Also, the storm surge heights, due to each typhoon, were compared and discussed at major points along the Gyeongnam coast, related to the local peculiarities, as well as the characteristics and the travel route of typhoon.

• 한국환경과학회지
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• 제16권11호
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• pp.1301-1312
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• 2007

The objective of this study is to propose a critical storm duration forecasting model on storm runoff in small river basin. The critical storm duration data of 582 sub-basin which introduced disaster impact assessment report on the National Emergency Management Agency during the period from 2004 to 2007 were collected, analyzed and studied. The stepwise multiple regression method are used to establish critical storm duration forecasting models(Linear and exponential type). The results of multiple regression analysis discriminated the linear type more than exponential type. The results of multiple linear regression analysis between the critical storm duration and 5 basin characteristics parameters such as basin area, main stream length, average slope of main stream, shape factor and CN showed more than 0.75 of correlation in terms of the multi correlation coefficient.

• 한국해안·해양공학회논문집
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• 제22권6호
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• pp.361-373
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• 2010

기상청의 해양 예측모델을 이용하여 2008년과 2009년의 한반도 주변의 폭풍해일의 특성을 살펴보았다. 모델의 정확성을 파악하기 위해 모델 결과는 한반도 연안의 검조소 자료와 비교하였다. 본 연구에서 사용된 조석/폭풍해일 모델은 한반도 주변의 폭풍해일의 특성을 잘 나타내고 있으며 특히 하계의 태풍 영향으로 인한 폭풍해일의 계절변화를 뚜렷이 나타내고 있다. 2008년과 2009년의 48시간 예측 평균 RMSE(root mean square error)는 각각 0.272 m와 0.420 m로 나타났다. 한반도 주변의 해역별, 월별 폭풍해일에서는 하계의 강한 해상풍의 영향으로 하계에 높은 폭풍해일고가 2008년에 나타나지만 2009년의 경우에는 하계 이외의 기간에도 매우 높은 폭풍해일고를 나타내었다. 태풍 Kalmaegi(2008)와 Morakot(2009)이 한반도에 접근시 모델의 정확도는 연평균 수치와 유사하게 나타났지만 연평균 검증결과와 같이 2008년 태풍 Kalmaegi에 비해 2009년 태풍 Morakot의 경우가 예측정확도가 낮게 나타났다.

• Journal of Advanced Marine Engineering and Technology
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• 제33권4호
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• pp.595-602
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• 2009

In this study, a two-dimensional storm surges/tide prediction model called the Storm surges/Tide Operational Model (STORM) was applied as the operational forecast model of the Korea Meteorological Administration (KMA). The operational model results were verified for two years (2006-2007) using observed results from tidal stations. Comparisons of modeled and observed storm surges show that larger differences at the western coast of Korea than at the southern and eastern coasts. The averaged root mean square error between the modeled and observed storm surges height are 0.16 m and 0.10 m in 2006 and 2007, respectively.

• 한국환경보건학회지
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• 제22권1호
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• pp.5-11
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• 1996

The more accurate estimation of the pollutant loadings from nonpoint source is needed to evaluate water quality of water resources such as river and reservoir. Therefore this study was performed to grasp the scale and characteristics of pollutant. In this study, STORM model was applied to I-cheon district to estimate runoff and pollutant loading of SS, BOD, T-N and $PO_4-P$. The results estimated by STORM model were fitted well to surveyed water quality in flow, SS and BOD. The annual loadings were estimated to be 36,463 kg/$km^3$/yr of SS, 8,090 kg/$km^3$/yr of BOD, 4,435 kg/$km^3$/yr of T-N and 358 kg/$km^3$/yr of $PO_4-P$. It was also found that the monthly pollutant loadings of SS, BOD, $PO_4-P$ were greatest in May and T-N in April.

• 물과 미래
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• 제25권4호
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• pp.75-85
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• 1992

한강유역의 우량관측소에서 우기동안 관측된 연속시간 강우자료에서 무강우시간으로 분리한 단일호우사상들의 호우수, 강우량, 지속기간, 강우강도를 분석하고 유역을 비슷한 강우특성을 갖는 세지역으로 구분하였다. 또한 Restrepo와 Eagleson이 제안한 독립호우 선정기준의 적용성을 검토하고 이 방법에 의한 독립호우 분리시간을 선정하여 연속시간 강우자료에서 무강우 시간들에 의하여 분리된 단일 호우사상의 시간적 특성과 비교 검토하여 단일호우 분리시간을 제시하였다.

• 대한토목학회논문집
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• 제29권2B호
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• pp.155-162
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• 2009

단변량 빈도해석법은 수공구조물 설계에 널리 사용되고 있다. 하지만 호우사상은 강우량, 최대강우강도, 강우지속기간과 같은 특성으로 표현되기 때문에 단변량 빈도해석법으로는 그 특성을 종합적으로 표현하는데 한계가 있을 수 있다. 이러한 호우사상의 특성들을 함께 표현해 줄 수 있는 이변량 빈도해석법의 사용이 수공구조물의 설계에 필요하다. 본 연구는 서울 강우관측소의 46개년(1961~2006) 시 강우자료를 Gumbel 혼합모형에 적용하여 빈도해석을 수행하였다. 이변량 강우빈도해석을 통해 결합누적분포함수를 산정한 후, 결합재현기간, 그리고 조건부 재현기간을 산정하였다. 이와 같은 이변량 강우빈도해석은 다양한 호우특성들에 대한 확률적 거동에 대한 예측정보를 제공함으로써 수공구조물의 계획 및 설계 그리고 위험도 평가 등의 문제 해결에 유용하게 사용될 수 있다.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2007년도 정기총회 및 학술발표대회
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• pp.319-322
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• 2007

This study aims to find the characteristics of damage and states of natural disasters at the Korean Peninsula from 1985 to 2004. Using the data of Statistical yearbook of calamities issued by the National Emergency Management Agency and Annual Climatological Report issued by the Korea Meteorological Administration. we have analyzed the cause, elements, and vulnerable regions for natural disasters. Major causes of natural disaster at Korean Peninsula are four, such as a heavy rain, heavy rain typhoon, typhoon, storm snow, and storm. The frequency of natural disaster is the highest from June to September. The period from December to March also shows high frequency. The total amount of damage is high during the summer season(Jul.-Sept). The period from January to March shows relatively high amount of damage due to storm and storm snow The areas of Gangwon-do, Gyeongsangnam-do and Gyeongsangbuk-do are classified the vulnerable region for the natural disasters. By establishing mitigation plans which fit the type and characteristics of disaster for each region, damage from disaster can be reduced with efficient prevention activities.