• Title/Summary/Keyword: disaster recovery

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National Disaster Management, Investigation, and Analysis Using RS/GIS Data Fusion (RS/GIS 자료융합을 통한 국가 재난관리 및 조사·분석)

  • Seongsam Kim;Jaewook Suk;Dalgeun Lee;Junwoo Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.743-754
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    • 2023
  • The global occurrence of myriad natural disasters and incidents, catalyzed by climate change and extreme meteorological conditions, has engendered substantial human and material losses. International organizations such as the International Charter have established an enduring collaborative framework for real-time coordination to provide high-resolution satellite imagery and geospatial information. These resources are instrumental in the management of large-scale disaster scenarios and the expeditious execution of recovery operations. At the national level, the operational deployment of advanced National Earth Observation Satellites, controlled by National Geographic Information Institute, has not only catalyzed the advancement of geospatial data but has also contributed to the provisioning of damage analysis data for significant domestic and international disaster events. This special edition of the National Disaster Management Research Institute delineates the contemporary landscape of major disaster incidents in the year 2023 and elucidates the strategic blueprint of the government's national disaster safety system reform. Additionally, it encapsulates the most recent research accomplishments in the domains of artificial satellite systems, information and communication technology, and spatial information utilization, which are paramount in the institution's disaster situation management and analysis efforts. Furthermore, the publication encompasses the most recent research findings relevant to data collection, processing, and analysis pertaining to disaster cause and damage extent. These findings are especially pertinent to the institute's on-site investigation initiatives and are informed by cutting-edge technologies, including drone-based mapping and LiDAR observation, as evidenced by a case study involving the 2023 landslide damage resulting from concentrated heavy rainfall.

Review of Psychological Treatment for Post-Traumatic Stress Disorder : Focus on Survivors of Disaster (외상후 스트레스 장애에 대한 심리치료 효과 개관 : 재난 생존자를 중심으로)

  • Jang, Eun-Young;Lee, Hyunji;Kim, Daeho
    • Anxiety and mood
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    • v.12 no.2
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    • pp.69-78
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    • 2016
  • Objective : Disaster causes psychological distress to a large number of people in a short period of time, by both direct and indirect exposure to traumatic events embedded in various realms of disaster experience. Optimal, well-planned treatment interventions should follow from the early acute period to recovery phase, extending up to several months later. In this context, there is an increasing need for systemic review to gain comprehensive insights for disaster interventions. These need to be added to public policy, and for the prevention and treatment of disaster-related psychopathology. Here, we review the published studies on psychological interventions for disaster-related posttraumatic stress disorder. Methods : Specific psychological interventions regarded as effective treatments for have been selected for this review, such as CBT (Cognitive-Behavior Therapy), Exposure Therapy, EMDR (Eye Movement Desensitization & Reprocessing), SIT (Stress Inoculation Therapy) and Psychoeducation. In addition, natural disasters, industrial disasters, and accidents involving aircraft and ships were also categorized as disasters, along with war and combat trauma. Results : Cognitive behavior therapy and exposure therapy had the strongest research support for effectiveness, and could be considered as the first-choice treatment for disaster-related PTSD. The second line of treatment is EMDR, although this treatment modality has the advantage of reaching certain treatment improvements in fewer sessions. However, the effects of SIT and psychoeducation to the survivors of disasters, remains unclear at this point. Additionally, we propose the possibilities of using virtual reality component and imagery rescripting as modified forms of traditional cognitive behavior therapy and exposure therapy. Conclusion : Cognitive behavior therapy and exposure therapy, deemed effective treatments for various trauma, are considered to be effective for survivors from disasters. However, the efficacy of other interventions has not yet been examined methodologically in well-designed studies, such as randomized controlled trials. In particular, future empirical studies are needed, since it is difficult to conclude that psychological interventions have similar effects on different types of disasters.

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APPLICATION OF 3D TERRAIN MODEL FOR INDUSTRY DISASTER ASSESSMENT

  • Kim, Hyung-Seok;Cho, Hyoung-Ki;Chang, Eun-Mi;Kim, In-Hyun;Kim, In-Won
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.3-5
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    • 2008
  • An increase in oil and gas plants caused by development of process industry have brought into the increase in use of flammable and toxic materials in the complex process under high temperature and pressure. There is always possibility of fire and explosion of dangerous chemicals, which exist as raw materials, intermediates, and finished goods whether used or stored in the industrial plants. Since there is the need of efforts on disaster damage reduction or mitigation process, we have been conducting a research to relate explosion model on the background of real 3D terrain model. By predicting the extent of damage caused by recent disasters, we will be able to improve efficiency of recovery and, sure, to take preventive measure and emergency counterplan in response to unprepared disaster. For disaster damage prediction, it is general to conduct quantitative risk assessment, using engineering model for environmental description of the target area. There are different engineering models, according to type of disaster, to be used for industry disaster such as UVCE (Unconfined Vapour Cloud Explosion), BLEVE (Boiling Liquid Evaporation Vapour Explosion), Fireball and so on, among them, we estimate explosion damage through UVCE model which is used in the event of explosion of high frequency and severe damage. When flammable gas in a tank is released to the air, firing it brings about explosion, then we can assess the effect of explosion. As 3D terrain information data is utilized to predict and estimate the extent of damage for each human and material. 3D terrain data with synthetic environment (SEDRIS) gives us more accurate damage prediction for industrial disaster and this research will show appropriate prediction results.

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A Study on the Design of Emergency Response Scenario Using Temporary Residential Housing System of Disaster (재난 대비 임시거주시스템 활용을 위한 비상 대응 시나리오 설계에 관한 연구)

  • Ham, Eun-Gu;Koh, Jae-Sun
    • Journal of the Society of Disaster Information
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    • v.9 no.4
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    • pp.521-531
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    • 2013
  • Temporary residence in disaster scenarios emergency response system designed for utilizing emergency incident types identified through the rapid emergency response procedures and proper application of the resulting accident is very important in order to minimize the damage. In this study, emergency disaster expected to analyze the potential for accidents, the possible accident scenarios emergency disaster preparedness These were derived on the basis of temporary residence in the emergency scenario, the scenario for the emergency response and recovery measures were derived. In addition, each event of an emergency response scenario to be taken during the emergency response requirements for emergency response to a step-by-step behavior was defined by the subject. In addition, subject-specific, step-by-step emergency disaster scenarios emergency response is quick and can be done in a comprehensive foundation was laid.

A Study on the Essential Information to Collect Disaster Sites for Effective Disaster Management : Focused on Jecheon Sports Center Fire case (효율적인 재난 상황관리를 위한 재난현장 필수정보 연구: 제천 스포츠 센터 화재사건을 중심으로)

  • Cho, Jung-Yun;Song, Ju-Il;Jang, Moon-Yup;Jang, Cho-Rok
    • Journal of the Society of Disaster Information
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    • v.16 no.1
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    • pp.70-78
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    • 2020
  • Purpose: When a disaster occurs, information is collected and sent indiscriminately to the disaster safety situation room, making it difficult to make quick and correct decisions. Therefore, in this study, both the field response team and the situation room attempted to derive the essential information elements for disaster management so that they can identify and respond optimally. Method: In this study, the actual disaster response process was first identified based on the case of large-scale fire disasters in multi-dense facilities. Afterwards, essential information on disaster management was obtained by analyzing the standard manual for large-scale fire crisis management in multi-dense facilities and the fire situation report form prepared at the time of disaster. Result: The Essential information on disaster management was divided into four stages: situation reception·reporting·transmission, total response·regional emergency rescue control group·regional disaster safety task force, operation stage of central emergency rescue control group·central disaster safety task force, and recovery stage. Since then, the information to be collected at each stage and the information relevant to core tasks are presented. Conclusion: The Essential information on disaster management thus obtained can serve as a guide for the person who collects information on site to collect information efficiently. In addition, it is expected that the situation room in charge of disaster response decision-making will receive only the information necessary for decision making, so that it is possible to make a quick situation decision and more efficient disaster situation management.

National Disaster Scientific Investigation and Disaster Monitoring using Remote Sensing and Geo-information (원격탐사와 공간정보를 활용한 국가 재난원인 과학조사 및 재난 모니터링)

  • Kim, Seongsam;Kim, Jinyoung;Kim, Jinsoo
    • Korean Journal of Remote Sensing
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    • v.35 no.5_2
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    • pp.763-772
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    • 2019
  • High-resolution satellites capable of observing the Earth periodically enhance applicability of remote sensing in the field of national disaster management from national disaster pre-monitoring to rapid recovery planning. The National Disaster Management Research Institute (NDMI) has been developed various satellite-based disaster management technologies and applied to disaster site operations related to typhoons and storms, droughts, heavy snowfall, ground displacement, heat wave, and heavy rainfall. Although the limitation of timely imaging of satellite is a challenging issue in emergent disaster situation, it can be solved through international cooperation to cope with global disasters led by domestic and international space development agencies and disaster organizations. This article of special issue deals with the scientific disaster management technologies using remote sensing and advanced equipments of NDMI in order to detect and monitor national disasters occurred by global abnormal climate change around the Korean Peninsula: satellite-based disaster monitoring technologies which can detect and monitor disaster in early stage and advanced investigation equipments which can collect high-quality geo-information data at disaster site.

Classification of Disaster Safety Data Management System based on Daily Situation Report (일일상황보고를 중심으로 재난안전 데이터 관리 체계의 유형화)

  • Lee, Giu;Jung, In-Su
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.9
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    • pp.290-298
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    • 2019
  • This study investigated a total of 22 types (15 types of natural disasters and seven types of social disasters) of disaster and safety data based on the National Daily Situation Report, Disaster Yearbook and annual Disaster Annals issued by the Ministry of Public Administration and Security. Disaster safety data were collected from the daily situation report of MOIS (Ministry of the Interior and Safety). The number of total data cases were 1,760, of which 656 were natural disasters and 1,104 were social disasters. The disasters were then patternized according to their characteristics. The patterning was conducted to set up the disaster and safety data system designed to keep disaster situations under prompt and effective management. The study analyzed the data associated with the activities in the response and recovery stages according to the disaster type. Furthermore, based on the management activities performed with the flow of time following a disaster, this study classified and proposed disaster and safety data patterns to achieve effective disaster management work by analyzing the characteristics of a disaster and safety data and disaster and safety management procedures. Disasters of high similarity were classified by merging and deleting them. This was done to consider the scalability and mutual linkage so that it can be used in the establishment of national statistical data, such as the disaster annual report and disaster annuity.

Application and Analysis of Remote Sensing Data for Disaster Management in Korea - Focused on Managing Drought of Reservoir Based on Remote Sensing - (국가 재난 관리를 위한 원격탐사 자료 분석 및 활용 - 원격탐사기반 저수지 가뭄 관리를 중심으로 -)

  • Kim, Seongsam;Lee, Junwoo;Koo, Seul;Kim, Yongmin
    • Korean Journal of Remote Sensing
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    • v.38 no.6_3
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    • pp.1749-1760
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    • 2022
  • In modern society, human and social damages caused by natural disasters and frequent disaster accidents have been increased year by year. Prompt access to dangerous disaster sites that are inaccessible or inaccessible using state-of-the-art Earth observation equipment such as satellites, drones, and survey robots, and timely collection and analysis of meaningful disaster information. It can play an important role in protecting people's property and life throughout the entire disaster management cycle, such as responding to disaster sites and establishing mid-to long-term recovery plans. This special issue introduces the National Disaster Management Research Institute (NDMI)'s disaster management technology that utilizes various Earth observation platforms, such as mobile survey vehicles equipped with close-range disaster site survey sensors, drones, and survey robots, as well as satellite technology, which is a tool of remote earth observation. Major research achievements include detection of damage from water disasters using Google Earth Engine, mid- and long-term time series observation, detection of reservoir water bodies using Sentinel-1 Synthetic Aperture Radar (SAR) images and artificial intelligence, analysis of resident movement patterns in case of forest fire disasters, and data analysis of disaster safety research. Efficient integrated management and utilization plan research results are summarized. In addition, research results on scientific investigation activities on the causes of disasters using drones and survey robots during the investigation of inaccessible and dangerous disaster sites were described.

Study on Disaster Response Strategies Using Multi-Sensors Satellite Imagery (다종 위성영상을 활용한 재난대응 방안 연구)

  • Jongsoo Park;Dalgeun Lee;Junwoo Lee;Eunji Cheon;Hagyu Jeong
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.755-770
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    • 2023
  • Due to recent severe climate change, abnormal weather phenomena, and other factors, the frequency and magnitude of natural disasters are increasing. The need for disaster management using artificial satellites is growing, especially during large-scale disasters due to time and economic constraints. In this study, we have summarized the current status of next-generation medium-sized satellites and microsatellites in operation and under development, as well as trends in satellite imagery analysis techniques using a large volume of satellite imagery driven by the advancement of the space industry. Furthermore, by utilizing satellite imagery, particularly focusing on recent major disasters such as floods, landslides, droughts, and wildfires, we have confirmed how satellite imagery can be employed for damage analysis, thereby establishing its potential for disaster management. Through this study, we have presented satellite development and operational statuses, recent trends in satellite imagery analysis technology, and proposed disaster response strategies that utilize various types of satellite imagery. It was observed that during the stages of disaster progression, the utilization of satellite imagery is more prominent in the response and recovery stages than in the prevention and preparedness stages. In the future, with the availability of diverse imagery, we plan to research the fusion of cutting-edge technologies like artificial intelligence and deep learning, and their applicability for effective disaster management.