• Title/Summary/Keyword: disaster-damages

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The Trend and Achievements of Erosion Control Research in Japan (일본(日本)에 있어서의 사방공학연구(砂防工學硏究)의 동향(動向))

  • Woo, Bo-Myeong
    • Journal of Korean Society of Forest Science
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    • v.20 no.1
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    • pp.51-60
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    • 1973
  • The trend and achievments of soil erosion control research in Japan were investigated through observation tours and reference work and following facts were found to be important aspects which should be considered in the soil erosion control research program in Korea. Experiments on forest and water relations, and ground water phenomena at the water source zone in Tokyo University. Studies on land-slides and erosion control dam in Kyoto University. Studies on mud-flow and snow avalanches in Hokkaido University. Studies on sanddune fixation and disaster damage prevention forests in Kyushu University. Studies on forest denudations in Nagoya University. Studies on Greening-works and soil erosion prevention chemicals in Tokyo Agriculture University. Training on planning of erosion control works and prevention of disaster damages in Forest Research Institute. Experiments on soil erosion phenomena and infiltration in Tohoku Branch, FRI. Experiments on erosion and surface stratum failure of steep slopes and their prevention methods in Railway Technical Research Institute.

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Development of an Ultra Light Flying Device for Remove the Vespiary (말벌 집 제거용 초경량 비행장치의 개발)

  • Geun-Chul Lee;Kyong-Jin Park
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.3
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    • pp.395-400
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    • 2023
  • Recently, the number of hornet is rapidly increasing because of change in the ecological climate. It gives a sense of threat to the people and damages the beekeeping industry as a predator of honey bees. Firefighters are working to remove hornet and vespiary, but it has been reported that it is difficult to remove at high altitudes. In this study, an ultra-light flying device was developed to remove vespiary. It has been developed in four types: Drug spray type, Clamp type, Cutter type, and Scraper type, which can be used as field-customized equipment. Therefore, the developed equipment is expected to contribute to the safe field activities of firefighters.

Correlation Analysis between Building Damage Cost and Major Factors Affected by Typhoon

  • Yang, Sungpil;Yu, Yeongjin;Kim, Sangho;Son, Kiyoung
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.702-703
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    • 2015
  • Currently, according to the climate change, serious damage by Typhoon has been occurred in the world. In this respect, the research on the damage prediction model to minimize the damage from various natural disaster has been conducted in several developed countries. In the case of U.S, various damage prediction models of buildings from natural disasters have been used widely in many organizations such as insurance companies and governments. In South Korea, although studies regarding damage prediction model of hurricane have been conducted, the scope has been only limited to consider the property of hurricane. However, it is necessary to consider various factors such as socio-economic, physical, geographical, and built environmental factors to predict the damages. Therefore, to address this issue, correlation analysis is conducted between various variables based on the data of hurricane from 2003 to 2012. The findings of this study can be utilized to develop for predicting the damage of hurricane on buildings.

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Dangerous Area Prediction Technique for Preventing Disaster based on Outside Sensor Network (실외 센서네트워크 기반 재해방지 시스템을 위한 위험지역 예측기법)

  • Jung, Young-Jin;Kim, Hak-Cheol;Ryu, Keun-Ho
    • The KIPS Transactions:PartD
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    • v.13D no.6 s.109
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    • pp.775-788
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    • 2006
  • Many disaster monitoring systems are constantly studied to prevent disasters such as environmental pollution, the breaking of a tunnel and a building, flooding, storm earthquake according to the progress of wireless telecommunication, the miniaturization of terminal devices, and the spread of sensor network. A disaster monitoring system can extract information of a remote place, process sensor data with rules to recognize disaster situation, and provide work for preventing disaster. However existing monitoring systems are not enough to predict and prevent disaster, because they can only process current sensor data through utilizing simple aggregation function and operators. In this paper, we design and implement a disaster prevention system to predict near future dangerous area through using outside sensor network and spatial Information. The provided prediction technique considers the change of spatial information over time with current sensor data, and indicates the place that could be dangerous in near future. The system can recognize which place would be dangerous and prepare the disaster prevention. Therefore, damage of disaster and cost of recovery would be reduced. The provided disaster prevention system and prediction technique could be applied to various disaster prevention systems and be utilized for preventing disaster and reducing damages.

A Case Study of Calculating Flood Inundation Area by HEC-GeoRAS (HEC-GeoRAS 모형에 의한 침수면적산정 사례연구)

  • Kim, Chang-Soo;Lee, Young-Dai;Lee, Hwan-Woo
    • Journal of Korean Society of societal Security
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    • v.2 no.4
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    • pp.43-48
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    • 2009
  • During the past few years, Korea has experienced extraordinary floods, which have caused many damages of lives and properties. Flooding caused by typhoon is the most common disastrous phenomenon of nature among all catastrophes. As the average temperature of the earth has been increasing by global warming, the possibility of typhoon is also increased by abnormal climate changes. Along with the river improvement as a part of flood control, the time of concentration has been decreased, so the pick discharge has been increased. Moreover, with the land development activities, the area of storage has been diminishing, and the damages from inundation have been continuously increasing. There were a lot of damages to farmland in 1960's, industrial and public facilities in 1970's, and a lot of sufferings from the windstorm in 1980's. In 1990's, however, the amount of damages was increased substantially. So, there is need to decrease the number of the victims and loss of properties by applying preventive measures against natural calamities. This study has employed a simulation system to calculate the depth and amounts of inundation areas to forecast and prevent from flood damage by using rainfall-runoff model. In this study, a case study method is adopted to show inundation by using rainfall-runoff model, HEC-GeoRAS and Arcview. It is hoped that, this study would be conducive to professionals and organizations working in the field of disaster management.

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Development of Natural Disaster Damage Investigation System using High Resolution Spatial Images (고해상도 공간영상을 이용한 자연재해 피해조사시스템 설계 및 구현)

  • Kim, Tae-Hoon;Kim, Kye-Hyun;Nam, Gi-Beom;Shim, Jae-Hyun;Choi, Woo-Jung;Cho, Myung-Hum
    • Journal of Korea Spatial Information System Society
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    • v.12 no.1
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    • pp.57-65
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    • 2010
  • In this study, disaster damage investigation system was developed using high resolution satellite images and GIS technique to afford effective damage investigation system for widely disaster damaged area. Study area was selected in Bonghwa, Gyungsangbukdo where high magnitude of damages from torrential rain has occurred at July in 2008. GIS DB was built using 1:5,000 topographic map, cadastral map, satellite image and aerial photo to apply for investigation algorithm. Disaster damage investigation system was developed using VB NET languages, ArcObject component and MS-SQL DBMS for effective management of damage informations. The system can finding damaged area comparing pre- and post-disaster images and drawing damaged area according to the damage item unit. Extracted object was saved in Shape file format and overlayed with background GIS DB for obtaining detail information of damaged area. Disaster damage investigation system using high resolution spatial images can extract damage information rapidly and highly reliably for widely disaster areas. This system can be expected to highly contributing to enhance the disaster prevention capabilities in national level field investigation supporting and establishing recovery plan etc. This system can be utilized at the plan of disaster prevention through digital damage information and linked in national disaster information management system. Further studies are needed to better improvement in system and cover for the linkage of damage information with digital disaster registry.

Deep Learning Based Rescue Requesters Detection Algorithm for Physical Security in Disaster Sites (재난 현장 물리적 보안을 위한 딥러닝 기반 요구조자 탐지 알고리즘)

  • Kim, Da-hyeon;Park, Man-bok;Ahn, Jun-ho
    • Journal of Internet Computing and Services
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    • v.23 no.4
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    • pp.57-64
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    • 2022
  • If the inside of a building collapses due to a disaster such as fire, collapse, or natural disaster, the physical security inside the building is likely to become ineffective. Here, physical security is needed to minimize the human casualties and physical damages in the collapsed building. Therefore, this paper proposes an algorithm to minimize the damage in a disaster situation by fusing existing research that detects obstacles and collapsed areas in the building and a deep learning-based object detection algorithm that minimizes human casualties. The existing research uses a single camera to determine whether the corridor environment in which the robot is currently located has collapsed and detects obstacles that interfere with the search and rescue operation. Here, objects inside the collapsed building have irregular shapes due to the debris or collapse of the building, and they are classified and detected as obstacles. We also propose a method to detect rescue requesters-the most important resource in the disaster situation-and minimize human casualties. To this end, we collected open-source disaster images and image data of disaster situations and calculated the accuracy of detecting rescue requesters in disaster situations through various deep learning-based object detection algorithms. In this study, as a result of analyzing the algorithms that detect rescue requesters in disaster situations, we have found that the YOLOv4 algorithm has an accuracy of 0.94, proving that it is most suitable for use in actual disaster situations. This paper will be helpful for performing efficient search and rescue in disaster situations and achieving a high level of physical security, even in collapsed buildings.

A Study of Emergency Preparedness Status of Korea's Local Governments and Emergency Preparedness Policies of United States' Government (우리나라 지역의 재난대비 실태와 미국의 재난대비 정책 고찰 연구)

  • We, Kum Sook;Jeong, An Young;Sim, Jee Hye
    • Journal of Korean Society of Disaster and Security
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    • v.5 no.1
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    • pp.37-42
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    • 2012
  • Local governments need to be prepared for emergency response in order to minimize damages caused by disasters, such as typhoon and chemical incidents. In this study, we have researched and analyzed current emergency preparedness status of Korea's local governments by studying laws and policies, and interviewing emergency managers. We have introduced policies to enhance emergency preparedness capabilities of United States' local governments. These policies could be useful for Korean government in developing policies to build up emergency response capabilities of Korea's local governments.

A Study on the Typhoon Disaster of Greenhouse (시설원예용 플라스틱 하우스의 태풍피해에 관한 연구)

  • 윤용철;서원명;윤충섭
    • Journal of Bio-Environment Control
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    • v.4 no.2
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    • pp.167-174
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    • 1995
  • This study was carried out to find a way of improving the windproof capability of greenhouse foundations. Generally, greenhouses are often collapsed due to the strong winds, because they are very light weight structures. In such a critical situations, the foundations are very often subjected to uplift and vibration at the same time. This paper describes both the wind disaster of greenhouses by the typhoon FAEY and the uplift resistance of greenhouse foundations. Followings are the results obtained from this study ; Judging from the view point of year round cultural aspects, it is recommended that some measures be taken for the preventions of greenhouse film ruptures because greenhouse structural damages are found to be directly associated with the local rupture of cover film. In the case of surveyed area, movable pipe-houses or pipe-houses of 1-2W type were found to be completely destroyed when the maximum instantaneous wind velocity was over 30m/sec or so. In the case of movable pipe-houses, the uplift resistance of greenhouse was expected to increase with the increase of pipe diameter and/or the embedment pipe length. But at present situations there is a limitation in raising the uplift resistance of movable pipe-house, because pipe diameters as well as pipe lengths customarily selected by farmers are quite a much limited.

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Study on Theoretical Research to Reduce Fire Risk of Solar Power System (태양광 발전 시스템의 화재 위험 감소 방안에 관한 이론적 연구)

  • Park, Kyong-Jin;Lee, Guen-Cull;Lee, Bong-Woo
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.2_2
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    • pp.219-224
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    • 2020
  • This study is based on the principle of solar power system and fire breakout. The result of the survey indicates that a solar power system is vulnerable to fire due to lack of maintenance after the installation. Currently the national fire safety agency does not have standards and legal provisions for the installation and maintenance of solar power facilities. Therefore, it increases the risk of fire breakouts as well as possibility of electric shock for the firefighters during fire fighting. This results possible damages to the human and equipments. In this study is proposing an automatic fire extinguishing system to reduce the power generation of solar panels during fire breakouts. Also, propose an over load current alarm system and fire prevention measures for fire fighters. The results of this study will be used as basic data for further fire testing of solar power systems.