• 지적과 국토정보
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• 제50권2호
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• pp.81-100
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• 2020

본 연구는 풍수해로부터 발생 가능한 피해를 추정하기 위한 공간정보 DB 활용 방안과 공간정보의 품질 점검 기준을 제안하고자 하였다. 국가재난관리정보시스템, 국가공간정보통합체계 공개자료 목록을 대상으로 공간정보 DB 중 풍수해 피해 추정을 위해 활용될 수 있는 데이터를 피해유형별로 매핑하였으며, 해당 데이터를 활용하여 피해 분석을 위한 품질 점검 기준 항목을 제안하였다. 본 연구를 통해 풍수해 피해 추정을 위한 공간정보 DB 활용이 가능할 것이며, 품질 점검 기준을 통해 분석 결과의 신뢰성을 담보할 수 있을 것이다.

• 한국항해항만학회지
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• 제43권3호
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• pp.209-218
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• 2019

연안도시는 내륙도시보다 태풍이나 해일 등에 의한 풍수해가 크며 도시마다 풍수해 특성이 서로 다르다. 그래서 연안도시는 풍수해 특성을 고려하여 풍수해 유형별 그리고 지역별 특성에 적합한 풍수해 관리체계가 필요하다. 따라서 본 연구에서는 도시관리, 연안관리, 재해관리 측면에서 우리나라 풍수해 관리체계 현황을 분석하여 문제점을 도출하고 미국과 일본 풍수해 관리체계를 검토한 후 연안도시 특성에 적합한 풍수해 관리체계 개선방안을 제안한다. 연구결과로서 도시관리 측면에서 방재지구 대상지 선정 의무화, 연안도시통합관리계획 수립, 자연재해위험개선지구를 방재지구로 지정, 방재지구를 풍해방재지구 수해방재지구 침식방재지구로 세분화, 방재지구 내 건축제한을 조례로 지정 등을 제안한다. 연안관리 측면에서 연안침식관리구역 지정권을 지자체장에게 위임, 연안침식관리구역은 연안침식심각구역 연안침식진행구역 연안침식발생우려지역으로 세분화, 연안침식관리구역의 건축제한을 조례로 결정, 연안도시 침식예상도 작성 등을 제안한다. 재해관리 측면에서 "자연재해대책법"과 "재난및안전관리기본법"의 통합, 지자체 주도 방재체계로 전환, 지역단위 재해관리네트워크 구축, 맞춤형 지역방재계획 수립 등을 제안한다.

• 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.

• 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.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2007년도 춘계학술발표회 논문집
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• pp.111-114
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• 2007

One of future remote sensing techniques for the estimation of damage by storm and flood is the extraction of water area, which could be the basis of measuring the damage by storm and flood and estimate restoration cost. This paper introduces an approach to damage estimation using satellite Image. The project site was Ansung area and a set of Radarsat-1 SAR image at 6.25m resolution was used for the test. Authors investigated methods of SAR image processing such as shadow-effect removal, orthorectification of SAR image and calculation of damage area by flood. Consequetly, this study showed that technique improvement of image processing and the best of result for extracting water area. Also, found the new possibility of damage estimation using satellite image.

• KDI Journal of Economic Policy
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• 제33권4호
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• pp.119-142
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• 2011

본 연구는 풍수해보험사업이 도입 취지와는 달리 여러 문제점을 내포하고 있다는 문제의식하에 풍수해보험에 대한 개념적이고 이론적인 분석을 시도하였다. 우선 현재와 같이 재난지원금과 풍수해보험이 공존하는 상황은 풍수해보험 활성화에 장애로 작용할 것이므로, 풍수해보험을 확대하기 위해서는 재난지원금의 점차적 축소를 고려할 필요가 있다. 또한 풍수해보험의 기본취지 중 하나가 자율적 방재노력을 제고하는 것이나, 풍수해보험은 보험에 따른 도덕적 해이로 인해 오히려 그러한 노력을 저해할 가능성이 높다. 끝으로 현재의 손해방지비용 지원은 그 효과가 불확실하므로 보다 심도 있는 분석이 필요하다.

• 정보처리학회논문지B
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• 제18B권5호
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• pp.271-278
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• 2011

최근 급증하는 기상이변 및 기후온난화 현상은 풍수로 인한 피해를 더욱 가속시키고 있어 풍수해 발생가능성을 미리 예측하여 선제적으로 대응할 방안 마련이 필요하다. 재난 재해의 위험성 분석은 주로 확률 통계기법에 기반한 수식모델 연구가 주류를 이루고 있고 소방방재청 국립방재연구소에서 구축한 태풍위원회 재해정보시스템(TCDIS: Typhoon Committee Disaster Information System) 또한 지역별 풍수해 위험성 분석에 확률모델을 활용하고 있다. 본 논문에서는 경험적 패턴인식에 탁월한 성능을 가진 신경망 알고리즘을 활용하여 개발한 풍수해 예측모델을 소개하고 이 모델과 TCDIS의 KDF 확률밀도함수를 이용한 풍수해 예측모델의 성능 비교 결과를 제시하여 기존 TCDIS의 위험성 분석기능에 신경망 모델을 적용함으로써 시스템의 강건성과 예측 정확도 향상이 가능함을 보이고자 한다.

• Environmental Engineering Research
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• 제22권4호
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• pp.393-400
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• 2017

One of the big problems facing municipalities is the management and control of urban flooding where urban drainage systems are under growing pressure due to increases in urbanization, population and changes in the climate. Urban flooding causes environmental and infrastructure damage, especially to roads, this damage increasing maintenance costs. The aim of the present study is to develop a decision support tool to identify the performance of storm networks to address future risks associated with climate change in the Middle East region and specifically, illegal sewer connections in the storm networks of Karbala city, Iraq. The storm water management model has been used to simulate Karbala's storm drainage network using continuous hourly rainfall intensity data from 2008 to 2016. The results indicate that the system is sufficient as designed before consideration of extra sewage due to an illegal sewer connection. Due to climate changes in recent years, rainfall intensity has increased reaching 33.54 mm/h, this change led to flooding in 47% of manholes. Illegal sewage will increase flooding in the storm system at this rainfall intensity from between 39% to 52%.

• 한국해양공학회지
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• 제24권1호
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• pp.68-75
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• 2010

Recently, the intensity and frequency of typhoons have been on the increase due to unusual weather phenomena and climate change. In particular, on September 13, 2003, typhoon MAEMI (0314) caused heavy damage in the provinces of Busan and Gyongnam, but also provided an opportunity to perform a variety of studies on storm surge. According to investigation reports on the damage resulting from typhoon MAEMI, the areas where coastal inundation occurred were located in reclaimed land under coastal development. In this study, through an image data analysis of historic and present day typhoons affecting Masan, we found that the inundation damage areas corresponded to reclaimed lands. Therefore, using the area around Busan, including the southeastern coast of Korea where typhoons lead to an increased storm surge risk, we performed a storm surge/inundation simulation, and examined the inundation effect on reclaimed land due to the intensified typhoons predicted for the future by climate change scenarios.

• 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.