• Title/Summary/Keyword: Heavy Rain Disaster

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Monitoring Technology for Flood Forecasting in Urban Area (도시하천방재를 위한 지능형 모니터링에 관한 연구)

  • Kim, Hyung-Woo;Lee, Bum-Gyo
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.405-408
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    • 2008
  • Up to now, a lot of houses, roads and other urban facilities have been damaged by natural disasters such as flash floods and landslides. It is reported that the size and frequency of disasters are growing greatly due to global warming. In order to mitigate such disaster, flood forecasting and alerting systems have been developed for the Han river, Geum river, Nak-dong river and Young-san river. These systems, however, do not help small municipal departments cope with the threat of flood. In this study, a real-time urban flood forecasting service (U-FFS) is developed for ubiquitous computing city which includes small river basins. A test bed is deployed at Tan-cheon in Gyeonggido to verify U-FFS. It is found that U-FFS can forecast the water level of outlet of river basin and provide real-time data through internet during heavy rain. Furthermore, it is expected that U-FFS presented in this study can be applied to ubiquitous computing city (u-City) and/or other cities which have suffered from flood damage for a long time.

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A Study on Attribute of Water and Exhibition Composition - Focused on Four-major River Water Culture Pavilion in Korea - (물의 속성과 전시연출에 관한 연구 - 4대강 물문화관을 중심으로 -)

  • Song, Hyeon-Ji;Kim, Nam-Hyo
    • Korean Institute of Interior Design Journal
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    • v.21 no.5
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    • pp.355-362
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    • 2012
  • Water Culture Pavilion was constructed as a part of dam construction and Four-major rivers restoration projects, which have the purpose to prevent damage of natural disaster, localized heavy rain and drought, and has several functions; promotion, education and region culture community. Exhibition space in this culture pavilion should have the excellent connection of various media, contents, and exhibition space because of limited space. The purpose of this study is to analyze flows, continuation and connection of exhibit space with the perspectives of the attribute of water and to suggest various content things, technical, spatial types. This study targets Four-major rivers Water Culture Pavilion in Korea and suggests exhibition presentation methods as analyzing contents, media and constituent of exhibition space for each pavilion exhibition. The result of this study is as follows : First, the circulation is common expressed attribute of water in these four water culture pavilion. The reason is that there is a connection between Four-major rivers restoration projects and the physical attribute of water circulating the steps of evaporation, condensation and precipitation. Second, each pavilion presents circulative solid exhibit, circulative background exhibit, circulative reflective exhibit based on circulation. These three types of exhibition is related the floor separation. Third, each pavilion exhibit zone shows the most circulation, solid, background, reflexibility through educational contents and promoting contents by using graphic, video, sound media.

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Development of a heavy rain disaster impact model system (호우 재해영향모델 시스템 개발)

  • Dong Ho Kang;Na Yeon Choi;Byung Sik Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.57-57
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    • 2023
  • 최근 심각한 기후변화로 인한 호우, 태풍 등 기상현상의 변화로 다양한 재해가 발생하고 그로 인한 피해 규모도 커지고 있다. 현재 우리나라의 호우 재해에 대한 예보는 단순히 강수량, 강설량, 바람의 강도 등을 전달해 주고 있는데, 이러한 정보 전달의 형태는 그로 인한 피해 규모를 예측하기 어렵다. 본 시스템은 현재의 단순한 수치만을 보여주는 예보에서 호우가 어느 지역에 어떠한 영향을 미치는지에 대한 정보를 전달한다. 시간대별 격자단위(1km×1km)로 구획하여 그 영향이클 것이라고 예상되는 9개 분야(생활, 도로, 농업, 편의, 공업, 의료복지, 교육연구. 축산업, 공용)의 정보를 전달 해 줌으로써 경제적, 산업적 측면에서 재난으로 인한 피해를 최소화할 수 있도록 하였다. GIS와 호우위험영향도 분석결과를 제공하는 플랫폼이며 주요 기능은 종합위험등급 현황을한 눈에 볼 수 있는 GIS 대쉬보드 상황판과 IBH-HR(예측강우분석), IBF-G(수문분석), IBF-PRA(리스크 분석) 3개의 분석 모듈 그리고 분석 모듈을 통해 도출된 분석결과를 관리하는 ARM(분석이력관리)으로 구성되었다. 다양한 콘텐츠 서비스로 호우 영향정보의 활용성이 클 것으로 기대된다.

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Derivation of Flood Hazard Curves for SOC Facilities under Local Intensive Precipitation (LIP(극한강우) 조건하에서 중요 SOC 시설물에 대한 재해도 곡선 작성)

  • Kim, Beom Jin;Han, Kun Yeun*
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.1
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    • pp.183-194
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    • 2019
  • In recent years, the risk of external flooding of major national facilities has increased significantly since 2000 due to the increase in local heavy rainfall events. For important domestic national facilities, it is necessary to analyze the risk of external flooding as flooding in major sites due to heavy rain can cause functional paralysis in major facilities and ultimately lead to massive trouble events. In order to manage the safety of main facilities and its related facilities at a high level, it is necessary to analyze the degree of disaster such as flood depth, flood flow rate, flood time and flood intensity when extreme floods (LIP) are introduced. In addition, the degree of vulnerability of these related facilities should be assessed and risk assessments should be reassessed through linkage analysis that combines the degree of disaster and vulnerability. By calculating a new flood hazard curve for the flood depth and flood intensity in major national facilities under the heavy rainfall conditions through this study, it is expected to be a basis for the waterproof design of important SOC facilities, flood prevention function design, advancement of flood prevention measures and procedures and evaluation of flood mitigation functions.

An Analysis of the Current Status of Disasters Occurring on the Steep Slopes in Korea (국내 급경사지 재해 발생 현황 분석)

  • Kim, Sung-Wook;Jung, Soo-Jung;Choi, Eun-Kyeong;Kim, Sang-Hyun;Lee, Khil-Ha;Park, Dug-Guen
    • Journal of Environmental Science International
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    • v.22 no.11
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    • pp.1529-1538
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    • 2013
  • Disasters like mountain landslides and collapse in cutting areas claim many a life and cause economic losses, involving much effort and expenses for their recovery. This study has surveyed and analyzed incident of disasters that had occurred on the sloping sides in Korea for the past 13 years in an effort to relieve damage caused by disasters on the sloping sides. The analysis confirms that while the major cause of disasters on the sloping side was storms in the past, frequency of disasters on sloping sides caused by local downpour is steadily on the rise. In addition, while disasters were concentrated in Gangwon Province, a mountainous region of the country, frequency of disasters occurring on the sloping sides is steadily increasing recently on the sloping sides in downtown areas in Seoul, Gyeonggi-do and so forth, attributing a large percentage of disasters to sloping sides. Data surveyed and analyzed in this study are thought to be applicable as basic data for the establishment of effective measures for the prevention of disasters occurring on the sloping sides in the days to come.

Statistical Characteristics of Pier-Scour Equations for Scour Depth Calculation (교각세굴심 산정 공식의 통계적 특성)

  • Lee, Ho Jin;Chang, Hyung Joon;Heo, Tae Young
    • Journal of Korean Society of Disaster and Security
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    • v.12 no.3
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    • pp.51-57
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    • 2019
  • In recent years, the occurrence of localized torrential rain has increased due to the increase in heavy rainfall and massive typhoons caused by abnormal weather. As a result, the flow rate of small and medium-sized rivers in Korea is rapidly increasing, affecting the safety of bridges and increasing the risk of scour. However, the domestic bridge construction technology does not reflect the watershed characteristics of domestic rivers because the bridge scour depth calculation formula developed overseas is used to calculate the bridge scour depth. Therefore, this study is a basic study for prevention of bridge damage according to scouring phenomenon, and a comparative analysis was performed between the experimental data measured through hydraulic model test and the scour depth formulas applied in Korea. In addition, the statistical analysis between experimental data and scour depth formula shows that Coleman's (1971) formula estimates the best scour depth. The results of this study are expected to be used to calculate more accurate bridge scour depth in river design and bridge design.

A Study on Making Map of Flood Using Digital Elevation Model (DEM) (수치표고모형 (DEM)을 이용한 침수재해 지도작성에 관한 연구)

  • Lim, Hyun Taek;Kim, Jae Hwi;Lee, Hak Beom;Park, Sung Yong;Kim, Yong Seong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.59 no.2
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    • pp.81-90
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    • 2017
  • Recent floodplain data are important for river master plan, storm and flood damage reduction comprehensive plan and pre-disaster impact assessment. Hazard map, base of floodplain data, is being emphasized as important method of non-structural flood prevention and consist of inundation trace map, inundation expected map and hazard information map. Inundation trace map describes distribution of area that damaged from typhoons, heavy rain and tsunamis and includes identified flood level, flood depth and flood time from flooding area. However due to lack of these data by local government, which are foundational and supposed to be well prepared nationwide, having hard time for making inundation trace map or hazard information map. To overcome this problem, time consumption and budget reduction is required through various research. From this study, DEM (Digital Elevation Model) from image material from UAVS (Unmanned Aerial Vehicle System) and numeric geographic map from National Geographic Information Institute are used for calculating flooding damaged area and compared with inundation trace map. As results, inundation trace map DEM based on image material from UAVS had better accuracy than that used DEM based on numeric geographic map. And making hazard map could be easier and more accurate by utilizing image material from UAVS than before.

Development of Heavy Rain Damage Prediction Function Using Mixed distribution (혼합분포를 이용한 호우피해 예측함수 개발)

  • Choi, Changhyun;Kim, Jongsung;Han, Daegun;Oh, Seunghyun;Kim, Hung Soo
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2016.11a
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    • pp.236-237
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    • 2016
  • 인류의 발전과 함께 재난관리에 대한 발전도 이루어져 왔다. 그러나 세계은행(World Bank)의 조사에 의하면 지난 30년간 전 세계적으로 자연재해로 인해 250만 명의 사람이 목숨을 잃었고, 피해금액은 4조 달러에 이르는 것으로 나타나, 아직 재난관리 체계에 많은 문제점이 있음이 드러났다. 특히, 우리나라는 각종 재난으로 인해 최근 10년(2006~2015)간 연 평균 약 5천억원의 피해액과, 약 1조 1천억원의 복구비를 지출하고 있다(국민안전처, 2016). 만약 재난 피해 발생 전 피해규모와 영향을 신속하게 추정할 수 있다면, 예방 및 대비 차원의 재난관리를 통해 피해액이 크게 감소될 것이다. 따라서 본 연구에서는 국내 재해의 65% 이상을 차지하고 있는 호우피해를 대상으로, 피해 예측함수를 개발하였다. 한강 권역을 본 연구의 대상지역으로 선정하였고, 재해연보자료를 조사하여 대상지역의 호우피해 발생 현황 및 피해액을 분석하였다. 또한 대상지역의 강우자료를 확보하기 위해 종관기상관측소의 강우자료를 확보하였다. 강우자료를 이용하여 지속시간별(1~24시간) 최대강우 자료와 재해기간별 선행강우(1~5일) 자료, 그리고 재해기간의 총 강우량 자료를 산출하였다. 이를 독립변수로 하여 재해기간의 시설물별 피해액과의 분석을 통해 호우피해 예측함수를 개발하였다. 호우피해 예측함수는 피해액을 로지스틱회귀분석을 통해 호우피해액이 큰 범위와 호우피해액이 작은 범위로 분류한 혼합분포를 이용하여 개발하였다. 본 연구는 효과적인 재해 관리체계를 확립 하고, 재해예방 및 대비 단계의 기초 자료로 사용될 수 있을 것으로 기대된다.

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Detection of Fallen Pear Bags caused by Natural Disaster (자연 재해로 인하여 낙과된 무채색 배 봉지 검출)

  • Choi, Doo-Hyun
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.1
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    • pp.153-158
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    • 2016
  • A detection algorithm of fallen pear bags caused by natural disaster like heavy rain, typhoon, hurricane, etc. is presented in this paper. The algorithm is developed for the gray pear bags with printed characters which are widely used at pear farms at Sangju and Naju producing large quantity of pears for export. It sets a region of interest (ROI) at first and then eliminates the regions having chromatic color in ROI. Morphological operation and prior information are used to eliminate small noises and several unusual regions and finally the regions of fallen pear bags are remained. The remained regions are analyzed and counted to estimate the scale of damage. Test images are consisted of the images taken at pear farms of Sangju and Naju at 2014. Experimental result shows that the detection rate of pear bags is more than 90% and also the proposed system can be implemented in real-time using hand-held devices because of its simple and parallel architecture.

Analysis of the Impact of Heatwaves in Gwangju using Logistic Regression and Discriminant Analysis (로지스틱 회귀분석과 판별분석을 활용한 광주광역시의 폭염에 미치는 영향분석)

  • Youn Su Kim;Yeong Seon Kong;In Hong Chang
    • Journal of Integrative Natural Science
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    • v.17 no.2
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    • pp.33-41
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    • 2024
  • Abnormal climate is a phenomenon in which meteorological factors such as temperature and precipitation are significantly higher or lower than normal, and is defined by the World Meteorological Organization as a 30-year period. However, over the past 30 years, abnormal climate phenomena have occurred more frequently around the world than in the past. In Korea, abnormal climate phenomena such as abnormally high temperatures on the Korean Peninsula, drought, heatwave and heavy rain in summer are occurring in March 2023. Among them, heatwaves are expected to increase in frequency compared to other abnormal climates. This suggests that heatwave should be recognised as a disaster rather than just another extreme weather event. According to several previous studies, greenhouse gases and meteorological factors are expected to affect heatwaves, so this paper uses logistic regression and discriminant analysis on meteorological element data and greenhouse gas data in Gwangju from 2008 to 2022. We analyzed the impact of heatwaves. As a result of the analysis, greenhouse gases were selected as effective variables for heatwaves compared to the past, and among them, chlorofluorocarbons were judged to have a stronger effect on heatwaves than other greenhouse gases. Since greenhouse gases have a significant impact on heatwaves, in order to overcome heatwaves and abnormal climates, greenhouse gases must be minimized to overcome heatwaves and abnormal climates.