• 제목/요약/키워드: torrential rains

검색결과 54건 처리시간 0.02초

Estimation of the National Burden of Disease and Vulnerable Population Associated with Natural Disasters in Korea: Heavy Precipitation and Typhoon

  • Han, Hyun-Jin;Kim, Jong-Hun;Chung, Soo-Eun;Park, Jae-Hyun;Cheong, Hae-Kwan
    • Journal of Korean Medical Science
    • /
    • 제33권49호
    • /
    • pp.314.1-314.15
    • /
    • 2018
  • Background: Despite its growing significance, studies on the burden of disease associated with natural disasters from the perspective of public health were few. This study aimed at estimating the national burden of disease associated with typhoons and torrential rains in Korea. Methods: During the period of 2002-2012, 11 typhoons and five torrential rains were selected. Mortality and morbidities were defined as accentual death, injury and injury-related infection, and mental health. Their incidences were estimated from National Health Insurance Service. Case-crossover design was used to define the disaster-related excess mortality and morbidity. Disability-adjusted life years (DALYs) were directly assessed from excess mortality and morbidity. Results: The burden of disease from typhoons increased with the intensity, with 107.7, 30.6, and 36.6 DALYs per 100,000 per event for strong, moderate, and weak typhoons, respectively. Burden of disease from torrential rains were 56.9, 52.8, and 26.4 DALYs per 100,000 per event for strong, moderate, and weak episodes, respectively. Mental disorders contributed more years lived with disability (YLDs) than did injuries in most cases, but the injury-induced YLDs associated with strong typhoon and torrential rain were higher than those of lower-intensity. The elderly was the most vulnerable to most types of disaster and storm intensities, and males younger than 65 years were more vulnerable to a strong torrential rain event. Conclusion: The intensity of torrential rain or typhoon was the strongest determinant of the burden of disease from natural disasters in Korea. Population vulnerable may vary depending on the nature and strength of the disasters.

2002년 8월의 집중호우와 저온현상 (Agricultural Implications of Rainfall Events and Low Temperature in August 2002)

  • 이양수;심교문;황규홍;고문환
    • 한국농림기상학회지
    • /
    • 제4권3호
    • /
    • pp.169-174
    • /
    • 2002
  • When the long - lasting stationary fronts were pushed northward by the Pacific Highs in late July, mostly clear skies with intermittent showers were a typical weather of August in Korea. However, torrential rains and flash floods are now a seasonal event of August in recent years. Some meteorologists suspect this unusual phenomenon might be connected with the global change and are concerned about the possibility of change in summer climatic pattern in Korea. August of year 2002 must be remembered to be one of the record breaking months with respect to the rainfall events. In this paper, we analyzed the weather and crop data nationwide for August in 2002, and suggest a few countermeasures necessary to overcome the wet and cool summer impacts on agricultural sector.

도로 침수영역의 탐색을 위한 빅데이터 분석 시스템 연구 (A Study on the Big Data Analysis System for Searching of the Flooded Road Areas)

  • 송영미;김창수
    • 한국멀티미디어학회논문지
    • /
    • 제18권8호
    • /
    • pp.925-934
    • /
    • 2015
  • The frequency of natural disasters because of global warming is gradually increasing, risks of flooding due to typhoon and torrential rain have also increased. Among these causes, the roads are flooded by suddenly torrential rain, and then vehicle and personal injury are happening. In this respect, because of the possibility that immersion of a road may occur in a second, it is necessary to study the rapid data collection and quick response system. Our research proposes a big data analysis system based on the collected information and a variety of system information collection methods for searching flooded road areas by torrential rains. The data related flooded roads are utilized the SNS data, meteorological data and the road link data, etc. And the big data analysis system is implemented the distributed processing system based on the Hadoop platform.

한강 상류유역의 강우강도에 따른 수위 예측 연구 (The study for water level estimation by rainfall intensity of the upper region in the han river)

  • 최한규;조현종;백효선
    • 산업기술연구
    • /
    • 제30권B호
    • /
    • pp.91-98
    • /
    • 2010
  • Recently, there has been enormous damage due to river floodings caused by localized heavy rains. The direct discharge triggered by those torrential rains inflicts severe property damage on the residents of nearby areas. To minimize the possibility of river floodings in case of heavy rains and to predict the possible damage, the management of existing rainfall and water level observatories should be checked and prediction methods based on the characteristics of water usage and floodgate of nearby rivers must be further analyzed. Therefore, this research analyzed the water level change predictions on different spots with a regression equation of rainfall and water levels, using the observation data of the water level observatory in Jeongseon-gun, Gangwon Province and the rainfall observatory which are located on the upper region of the Han river.

  • PDF

GIS를 이용한 한계유량과 GcIUH 매개변수간의 상관성분석에 관한 연구 (Study of Correlation Between Flash Flood and GcIUH Parameters using GIS)

  • 양인태;박건
    • 대한공간정보학회지
    • /
    • 제21권4호
    • /
    • pp.37-44
    • /
    • 2013
  • 최근 기상 이변에 따라 단시간에 집중되는 돌발홍수에 의해 해마다 막대한 인적, 물적 피해를 입고 있다. 이러한 국지성호우에 의한 산지하천이나 미소하천에서 첨두유출량을 예측하기 위한 도구로서 GIS를 적용하고 있는 추세이다. 하지만 수문학적 접근이 주를 이루고 있으며 GIS를 이용한 지형분석으로의 접근은 매우 미비한 실정이다. 본 연구에서는 돌발홍수를 발생시키는 강우량을 GIS기법과 GcIUH의 모형을 연계하여 산정하였고, 유역별 GcIUH 매개변수를 추출하여 한계유량에 따른 GcIUH 매개변수간의 상관관계를 분석하였다.

유체해석 프로그램을 이용한 골재의 입자크기 및 입도, 구성위치에 따른 배수층의 특성 평가 (Evaluation of characteristics of drainage layer according to particle size, particle size, and compositional location of aggregate using fluid analysis program)

  • 임창민;권현우;김영민;조도영;이건철
    • 한국건축시공학회:학술대회논문집
    • /
    • 한국건축시공학회 2022년도 가을 학술논문 발표대회
    • /
    • pp.147-148
    • /
    • 2022
  • Due to recent climate abnormalities, the form of rainfall is changing to localized torrential rains. Localized torrential rains cause flooding in urban areas. In addition, in various industrial fields, there are cases where materials necessary for the process are kept outdoors, and damage from material loss and flooding of stockyards occurs during heavy rain. Accordingly, it is necessary to introduce a drainage layer where flooding is expected. This drainage layer places the aggregate inside and allows rainwater to penetrate and drain into the voids between the aggregates. However, the amount of voids differs according to the particle size distribution and particle size of the aggregate, and the drainage performance varies according to the compositional location of the aggregate. Therefore, in this study, the drainage characteristics according to the particle size, particle size, and compositional location of aggregates are analyzed using a fluid analysis program.

  • PDF

국내 사면붕괴 방지대책 선진화 방안 (Improvement of Countermeasures for Slope Failure Mitigation in Korea)

  • 박덕근;김태훈;오정림;한태곤
    • 한국지반공학회:학술대회논문집
    • /
    • 한국지반공학회 2005년도 지반공학 공동 학술발표회
    • /
    • pp.107-116
    • /
    • 2005
  • Korea has been suffering from various natural disasters. Slope-stability related disasters such as landslides usually occur during typhoon and torrential rain season. Types of slope-stability related disasters can be classified as failures in cut slopes along constructed roads, landslides in natural terrain, and retaining structure failures in urban area. This paper summarizes human casualties for the last 29 years in Korea, reviews field studies for the disaster sites that caused human casualties due to torrential rains in the Summer of 2005, analyzes causes of slope-stability related disasters and includes recommendations for an effective management system.

  • PDF

최적화된 다항식 방사형 기저함수 신경회로망을 이용한 수도권 여름철 초단기 강수예측 패턴 설계 (Design of Summer Very Short-term Precipitation Forecasting Pattern in Metropolitan Area Using Optimized RBFNNs)

  • 김현기;최우용;오성권
    • 한국지능시스템학회논문지
    • /
    • 제23권6호
    • /
    • pp.533-538
    • /
    • 2013
  • 최근 빈번히 일어나는 국지성 집중호우로 인해 피해가 급격히 증가하고 있다. 인구가 밀집한 수도권과 같은 경우 산사태와 토석류 및 홍수로 인해 인명 및 재산피해가 심각하다. 따라서 집중호우에 대한 예측의 중요성이 증가하고 있다. 우리나라 악천후 강수의 특징으로는 태풍과 집중호우로 구분된다. 이는 지속시간과 지역에 따라 차이를 보인다. 또한, 지역적인 강수는 계절에 따라 변동성이 크고 비선형적이기 때문에 강수를 예측하는데 어려움이 따른다. 본 논문에서는 기상청에서 현업으로 사용하는 초단기 기상 분석 및 예측시스템 (Korea Local Analysis and Prediction System; KLAPS)의 기상 관측 자료를 이용하여 초단기 호우 예측 패턴 모델을 구현한다. 그리고 악천후 시 피해가 큰 수도권을 중심으로 여름철 호우 특보를 예측한다. 유전자 알고리즘(Genetic Algorithm; GA) 기반 다항식 방사형 기저함수 신경회로망(Radial Basis Function Neural Networks; RBFNNs)을 이용하여 초단기 강수 예측 패턴 모델을 설계한다. 최적화된 분류기를 설계하기 위하여 유전자 알고리즘을 이용하여 주요 파라미터인 입력변수의 수, 다항식 차수, 퍼지화 계수, FCM(Fuzzy C-mean) 클러스터 수를 동조한다.

재해에 대한 철도시설물 방재기술 체계에 관한 연구 (A Study on the Classification Scheme of Technologies for Disaster Prevention of Railroad Structures)

  • 박영곤;윤희택;신민호
    • 한국철도학회:학술대회논문집
    • /
    • 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
    • /
    • pp.2902-2909
    • /
    • 2011
  • Regional torrential rains in summer this year due to abnormal climate changes compared to last year, have been frequent. Since Typhoon Rusa and Typhoon Maemi resulted in major damage to railroad facilities in 2002 and 2003 consecutively, problems with abnormal climate changes became a global problem including railroad and floods and droughts around the globe, heavy snow and winter warming have been repeated until now. Serious problem of radiation leakage in Fukushima nuclear power plant by the Tsunami due to 9.0-scale earthquake, this year in March, in northeastern Japan happened, and has given an impact on the life of Japanese citizens and industries and has also influenced on Korean. This shows how important to secure and to protect major national facilities including railroad structures to natural disasters such as earthquake. Therefore, we will briefly discuss about technologies for securing and protecting railroad structures to earthquakes, floods and other natural disasters.

  • PDF

MaxEnt 모형을 이용한 기후변화에 따른 산사태 발생가능성 예측 (Prediction of Landslides Occurrence Probability under Climate Change using MaxEnt Model)

  • 김호걸;이동근;모용원;길승호;박찬;이수재
    • 환경영향평가
    • /
    • 제22권1호
    • /
    • pp.39-50
    • /
    • 2013
  • Occurrence of landslides has been increasing due to extreme weather events(e.g. heavy rainfall, torrential rains) by climate change. Pyeongchang, Korea had seriously been damaged by landslides caused by a typhoon, Ewiniar in 2006. Moreover, the frequency and intensity of landslides are increasing in summer due to torrential rain. Therefore, risk assessment and adaptation measure is urgently needed to build resilience. To support landslide adaptation measures, this study predicted landslides occurrence using MaxEnt model and suggested susceptibility map of landslides. Precipitation data of RCP 8.5 Climate change scenarios were used to analyze an impact of increase in rainfall in the future. In 2050 and 2090, the probability of landslides occurrence was predicted to increase. These were due to an increase in heavy rainfall and cumulative rainfall. As a result of analysis, factors that has major impact on landslide appeared to be climate factors, prediction accuracy of the model was very high(92%). In the future Pyeongchang will have serious rainfall compare to 2006 and more intense landslides area expected to increase. This study will help to establish adaptation measure against landslides due to heavy rainfall.