• Proceedings of the Korean Society of Disaster Information Conference
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• 2015.11a
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• pp.230-231
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• 2015

우리나라의 국가재난관리 업무는 1948년부터 시작되었으며, 자연재해를 중심으로 수행되어 왔다. 이는 과거 사회구조가 단순하여 사회재난의 피해가 자연재난의 피해보다 현저히 적었기 때문이지만, 점차 사회가 복잡해지고 재난의 양상이 복합적으로 변화함에 따라 효율적인 재난관리를 위한 정보시스템의 필요성이 증가했다. 이에 따라 국가적 차원의 재난관리정보시스템 구축 계획을 수립하게 되었으며, 2015년 현재 통합 재난안전정보체계 구축사업을 수행하기에 이르렀다. 통합재난안전정보체계 구축 사업은 현재 다양한 시스템을 통해 분산 관리되던 재난정보를 통합 관리하기 위한 시스템 구축을 중심내용으로 하고 있다. 본 연구에서는 국가재난관리정보시스템에서 활용되는 재난정보 공동활용 시스템의 데이터 분포와 유형을 분석하고 그 활용 방안에 대해 고찰하였다.

• Annual Conference of KIPS
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• 2014.11a
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• pp.829-832
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• 2014

최근 사람 간 소통채널인 소셜미디어는 매스미디어 중심의 정보유통의 흐름을 바꿔놓으며 기업, 공공기관 등에서 가치를 찾는 핵심자원으로 관심을 받고 있다. 재난관리도 기존의 정부중심 대응에서 벗어나 소셜미디어, 즉 소셜 빅데이터를 활용한 국민 참여형 재난관리의 필요성이 대두되고 있다. 본 논문에서는 재난관리를 위해 실시간 소셜 빅데이터를 모니터링하는 시스템인 국립재난안전연구원의 소셜 빅보드(Social Big Board)를 소개하고, 이 시스템의 재난이슈 탐지의 정확성 향상을 위해 새롭게 개발된 재난유형별 관련도에 기반한 재난이슈 탐지기법을 설명하며 실험 및 평가결과를 제시하고자 한다.

• Annual Conference of KIPS
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• 2014.11a
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• pp.900-901
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• 2014

최근 정보처리기술의 비약적인 발전은 소셜미디어를 통해 생산되는 종합정보의 처리를 용이하게 하였으며 광역적 의사소통을 가능하게 하였다. 이와 같은 기술의 발전을 재난관리에 적극 활용하려는 움직임이 확산되고 있으며, 이는 국내외의 여러 사례들을 통해 그 필요성이 입증되고 있다. 본 연구에서는 국립재난안전연구원에서 개발한 실시간 소셜 빅데이터 모니터링 시스템인 '소셜빅보드(Social Big Board)'를 활용하여 대상 기간 동안의 지역별 위치공개 트윗 현황을 조사하였다. 이를 위해 전체 재난 안전관련 트윗 중 위치정보공개 트윗을 대상으로 분석을 수행 하였으며 그 결과, 분석기간에 따른 전체 트윗과 지역별 위치정보공개 트윗은 재난상황의 발생과 피해규모에 따라 발생의 정도가 다르게 나타나는 것을 확인하였다. 향후, 재난 안전과 관련된 위치정보공개 트윗의 지속적인 모니터링 수행을 통해 신뢰성 있는 재난 대응체계 구축이 가능할 것으로 기대된다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.69-70
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• 2023

2023년에도 2월에는 튀르키예와 시리아에서 대규모 지진이 발생하고, 칠레에서는 대규모 산불이 발생하였으며, 8월에는 하와이에서 산불로 많은 인명피해가 있었으며, 9월에는 모로코에서 지진이 발생하였다. 또한, 국내에서는 역대 세 번째로 많은 봄철 산불과 6-7월에는 충북 청주의 궁평 지하차도를 포함한 전국적인 집중호우 등 국내외에서 이전에 경험하지 못한 수준의 극한 재난 사건들이 발생하였으며, 미래에는 이러한 사건들이 더욱 빈번하게 발생할 것으로 예측된다. 이상기후에 대비함과 동시에 재난 발생시 피해를 최소화하기 위한 다양한 방안에 대한 고려가 필요한 시점이다. 본 논문은 극한 재난이 발생하였을 때 발령하는 시스템부터 재난정보를 수신하는 국민에 이르기까지 전반적인 재난정보 전달 관점에서 고려하여 국민의 요구사항을 반영하여 재난정보를 효과·효율적으로 전달하는 방식에 대해 제안한다. 제안하는 방안을 통해 신속·정확·효율적인 재난정보 전달이 이루어져 재난으로부터 인명 및 재산상의 피해를 감소시킬 수 있을 것으로 기대된다.

• Journal of the Society of Disaster Information
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• v.7 no.3
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• pp.220-228
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• 2011

Disaster sign data is confirmed data by the experts to the collected data from web and users. In this paper, we focused to make the risk scores to the data based on ontology technology. To analyse the data, first of all, we defined the ontological structure for 4 kinds of disaster types which consists of the bridges, workplaces, buildings, and walls. Base on the ontologies, collected the accidents examples, and then extract the risk rules from the examples. The rules are adjusted with frequencies and weights, and managed to the ontology DB. The rules apply to the disaster sign data, and then calculates the risk scores. It plays role of the index to the risk rates. The disaster sign data management system was implemented and the rules were verified to the system. Because the quality of the risk scores to the disaster sign data depends on the data of the accidents examples's qualities, we assure that the system's performance will be monotonic increasing following up the data upgrades. Continuously, data management is needed. Also the quality control of the rules are needed.

• Journal of Menopausal Medicine
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• v.24 no.3
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• pp.150-154
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• 2018

As disasters have been increasing in recent years, disaster health literacy is gaining more important for a population such as middle-age women. This is because they face developmental crises (menopause) and situational crisis (disaster). Due to the growing elderly population, it is imperative to seriously consider the issue of aging women's healthcare, and their educational needs relative to emergencies and disasters. The purpose of study was to clarify the importance of disaster health literacy for middle-age women. This study is a review of the literature using PubMed, ScienceDirect, Web of Science, Google Scholar, SCOPUS, OVID, ProQuest, Springer, and Wiley. Data was collected with keywords related to the research topic ("Women's health" OR "Geriatric health") AND ("Health literacy" OR "Disaster health literacy" OR "Disaster prevention literacy" OR "Risk knowledge" OR "Knowledge management") AND ("Disasters" OR "Risk" OR "Crises") in combination with the Boolean-operators OR and AND. We reviewed full text English-language articles published November 2011 November 2017. Additional references were identified from reference lists in targeted publications, review articles and books. This review demonstrated that disaster health literacy is critical for elderly women, because they may suffer from physical and psychological problems triggered by developmental crises such as menopause and situational crises such as disasters. Disaster literacy could enable them to improve resiliency and reduce disaster risk. Education has vital role in health promotion of middle-age women. Policymakers and health managers should be aware of the challenges of elderly women as a vulnerable group in disasters and develop plans to incorporate disaster health literacy for preparedness and prevention in educating this group.

• Korean Journal of Remote Sensing
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• v.35 no.5_2
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• pp.861-871
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• 2019

Landsat satellite images have been increasingly used for disaster damage analysis and disaster monitoring because they can be used for periodic and broad observation of disaster damage area. However, periodic disaster monitoring has limitation because of areas having missing data due to clouds as a characteristic of optical satellite images. Therefore, a study needs to be conducted for restoration of missing areas. This study detected and removed clouds and cloud shadows by using the quality assessment (QA) band provided when acquiring Landsat-8 images, and performed image restoration of removed areas through a spatial and temporal adaptive reflectance fusion (STARFM) algorithm. The restored image by the proposed method is compared with the restored image by conventional image restoration method throught MLC method. As a results, the restoration method by STARFM showed an overall accuracy of 89.40%, and it is confirmed that the restoration method is more efficient than the conventional image restoration method. Therefore, the results of this study are expected to increase the utilization of disaster analysis using Landsat satellite images.

• Journal of the Society of Disaster Information
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• v.18 no.2
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• pp.351-363
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• 2022

Purpose: The objective of this research is to find manufacturing employment clusters of the disaster safety sector in South Korea. Method: The LISA(Local Indicator of Spatial Association) analysis method is applied to the employment data of 229 local governments categorized by the 2019 Korean Standard Industry Classification and Disaster Safety Industry Special Classification. The LISA method identifies the spatial dependency of employment and the spatial cluster of industries. Result: Three research findings are summarized. First, employment of the disaster safety industry in South Korea occupies about six percent of the total manufacturing industry. The annual proportion is in increasing trend. Second, the employment cluster of the disaster safety industry is located in the western side of the Seoul metropolitan region. Third, manufacturing businesses of industrial safety goods preventing industrial accidents are concentrated in regions of Busan, Ulsan, Changwon, Gyeongnam, and Gimhae, where heavy and chemical industries and industrial complexes are formed. Conclusion: Investment and promotion policies are suggested to the manufacturing employment clusters of the disaster safety industry for fostering these regions. Research results can be used to the better policies for industrial development and employment improvement of manufacturing clusters of the disaster safety industry in South Korea.

• Journal of the Korean Society of Safety
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• v.31 no.2
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• pp.119-126
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• 2016

Across the world, the industrialization has increased the frequency of climate anomaly. The size of damage due to recent natural disasters is growing large and fast, and the human damage and economic loss due to disasters are consistently increasing. Urbanization has a structure vulnerable to natural disasters. Therefore, in order to reduce damage from natural disasters, both hardware and software approaches should be utilized. Currently, however, the development of a statistical access process for 'analysis of disaster occurrence factor' and 'prediction of damage costs' for disaster prevention and overall disaster management is inadequate. In case of local governments, overall disaster management system is not established, or even if it is established, unscientific classification system and management lead to low utility of natural statistics of disaster year book. Therefore, in order to minimize disaster damage and for rational disaster management, the disaster damage survey process should be improved. This study selected gale as the focused analysis target among natural disasters recorded in disaster year book such as storm, torrential rain, gale, high seas, and heavy snow, and analyzed disaster survey process. Based on disaster year book, the gale damage size was analyzed and the issues occurring from the correlation of gale and damage amount were examined, so as to suggest an improvement plan for reliable natural disaster information collection and systematic natural disaster damage survey.

• International Journal of Highway Engineering
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• v.14 no.5
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• pp.123-132
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• 2012

PURPOSES: This study is to investigate the consideration which relates with a disaster from route alignment process and proposed the method it will be able to evaluate a disaster danger fixed quantity. METHODS: Use the landslide disaster probabilistic map of GIS based and in about landslide occurrence of the route alignment at the time of neighboring area after evaluating a risk fixed quantity, it compared LCC expense in about each alternative route. It developed the system it will be able to analyze a LCC and a disaster risk in about the alternative route. In order to verify a risk analytical algorithm and the system which are developed it selected national road 59 lines on the demonstrative route and it analyzed a disaster risk. RESULTS: Demonstrative route not only the disaster risk to be it will be able to compare a disaster risk fixed quantity like the economical efficiency degree in compliance with LCC expense productions it compared and there being the designer will be able to decide the alternative route, it confirmed. CONCLUSIONS: Roads can be designed by considering occurs repeatedly landslides and debris flow caused by disasters in advance and expect to be able to effect that can reduce the overall cost to recover losses caused by the disaster, and temporally loss is expected.