• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.167-168
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• 2023

에너지분야 국가핵심기반시설에서 산업재해 및 업무중단 사고예방을 위해 재해경감활동관리체계(BCMS)에서 일일위험지수 재난안전관리 프로그램을 자체개발 운용하여 정부의 중대재해 감축 로드맵의 핵심적인 4대 전략 중 하나인 사업장에서 유해위험요인에 대한 자기규율적인 예방관리체계의 확립한 사례를 제시하였다. 이에 대한 신뢰성 검증을 위해 중대산업재해 감축효과에 영향을 미친 사업장의 BCMS, 일일위험지수 및 중대재해처벌법 간의 관계성을 연구한 결과, 제도 간 개념의 관련성이 높으며, 상호 보완적이고 영향을 미치는 것으로 확인되었다. 따라서 동종 사업장에서 재해경감활동관리체제의 일일위험지수를 활용한다면 중대재해예방관리에 도움이 될 것으로 기대된다.

• Journal of Korean Society of Disaster and Security
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• v.13 no.4
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• pp.37-46
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• 2020

Although the importance of resilience is emerging around the world, the single definition of resilience related to natural disasters is not clear. The reason for this is that there is no specific definition of how the definition of resilience relates to similar terms such as vulnerability, recovery, adaptability, and sustainability. In addition, it is because each country and region have different geographic and geological characteristics, and each measurement index is different, just as typhoons, droughts, and earthquakes have different types of disasters. Therefore, in this study, the definition of resilience is reflected in the spatial characteristics of this study as the ability to recover from'complex disasters (concentrated heavy rain, landslides, earth and stone flows) occurring on local roads or on local roads adjacent to people or facilities. Defined. And it was divided into DRR: Disaster Resilience focusing on the Road. In addition, domestic and foreign literature surveys were conducted to derive road-centered disaster resilience factors, and a hierarchical structure was established and AHP survey was conducted to establish a DRR evaluation system. As a result of the analysis of the AHP survey, the weight of direct road disaster influencing factors (drainage facilities, protection facilities, etc.) located inside local roads was 0.742, and the weight of indirect road disaster influencing factors (population, property, etc.) located near local roads. Was found to be 0.258, indicating that the direct impact factor of road disaster was relatively higher than that of the indirect impact factor.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.668-678
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• 2017

In this study, the hydrological and meteorological drought index with precipitation as a major factor were calculated, and various analyses of hydrological drought were conducted. The Modified Surface Water Supply Index (MSWSI) was applied to the hydrological drought index and Standardize Precipitation Index (SPI) was used to estimate the meteorological drought index. The target area for the estimation is the dam area among MSWSI categories. The 4001 basin with 43 years data from 1975 to 2017 was analyzed for the drought occurrence status and time series plotted with the monthly SPI and MSWSI. For the dam watershed based on the precipitation that has the role of a water supply in the hydrological cycle, correlation analysis of precipitation, dam inflow, and stream flow was performed by the monthly and moving average (2~9 months), and the correlation between meteorological and hydrological index by monthly and moving average (3, 6 months) was then calculated. The result of multifaced analysis of the hydrological drought index and meteorological drought index is believed to be useful in developing water policy.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.4
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• pp.457-467
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• 2022

Drought has strong local characteristics, an objective definition or standard that can define the progress or severity of drought is needed and to date, many drought-related studies are being conducted around the world. In this study, Standardized Precipitation Index (SPI), which is a representative meteorological drought index, was calculated, and the drought risk index (DRI) that can consider actual drought was applied to the target area, Uiryeong-gun, by applying the drought vulnerability index (DVI) and the drought hazard index (DHI). A method for practical drought evaluation that can establish a water supply system is presented in this study.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.319-328
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• 2021

Purpose: Recently, a large social disaster has called for the need to diagnose social disaster safety, and the Ministry of Public Administration and Security calculates and publishes regional safety ratings such as regional safety index and national safety diagnosis every year. The existing safety diagnosis system uses equal intervals or normal distribution to grade risk maps in a uniform manner. Method: However, the equidistant technique can objectively analyze risk ratings, but there is a limit to classifying risk ratings when the distribution is skewed to one side, and the z-score technique has a problem of losing credibility if the population does not follow a normal distribution. Because the distribution of statistical data varies from indicator to indicator, the most appropriate rating should be applied for each data distribution. Result: Therefore, in this paper, we analyze the data of disaster indicators and present a comparison and suitable method for traditional equidistant and natural brake techniques to proceed with optimized grading for each indicator. Conclusion: As a result, three of the six new indicators were applied differently from conventional grading techniques

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.145-145
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• 2022

Availability of abundant water resources data in developing countries is a great concern that has hindered the adoption of deep learning techniques (DL) for disaster prevention and mitigation. On the contrary, over the last two decades, a sizeable amount of DL publication in disaster management emanated from developed countries with efficient data management systems. To understand the current state of DL adoption for solving water-related disaster management in developing countries, an extensive bibliometric review coupled with a theory-based analysis of related research documents is conducted from 2003 - 2022 using Web of Science, Scopus, VOSviewer software and PRISMA model. Results show that four major disasters - pluvial / fluvial flooding, land subsidence, drought and snow avalanche are the most prevalent. Also, recurrent flash floods and landslides caused by irregular rainfall pattern, abundant freshwater and mountainous terrains made India the only developing country with an impressive DL adoption rate of 50% publication count, thereby setting the pace for other developing countries. Further analysis indicates that economically-disadvantaged countries will experience a delay in DL implementation based on their Human Development Index (HDI) because DL implementation is capital-intensive. COVID-19 among other factors is identified as a driver of DL. Although, the Long Short Term Model (LSTM) model is the most frequently used, but optimal model performance is not limited to a certain model. Each DL model performs based on defined modelling objectives. Furthermore, effect of input data size shows no clear relationship with model performance while final model deployment in solving disaster problems in real-life scenarios is lacking. Therefore, data augmentation and transfer learning are recommended to solve data management problems. Intensive research, training, innovation, deployment using cheap web-based servers, APIs and nature-based solutions are encouraged to enhance disaster preparedness.

• Journal of Korean Academy of Nursing
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• v.34 no.4
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• pp.636-645
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• 2004

Purpose. A natural disaster negatively affects children's emotional and behavioral adjustment. The purpose of this paper was to examine the prevalence, symptoms, and correlates of PTSD after the occurrence of Typhoon Rusa. Method. 261 elementary school children living in Kimcheon, which was a devastated rural area in South Korea by Typhoon Rusa, were selected. Data were collected 4 months after the disaster using the PTSD Reaction Index categories recommended by Frederick, severity of PTSD. Results. 12.3% of the children had either moderate or severe PTSD symptoms; 22.7% reported mild symptoms; and the remaining 65% had sub-clinical symptoms of PTSD. The most frequent symptom was recurrenct fear(67.0%). 13% to 17.2% of children exhibited difficulty in concentration, sleep disturbance, and guilt feeling. The regression model of severity of PTSD was composed of the level of exposure to traumatic experiences, grade in school, gender, negative coping style, and social support, and explained 34.3% for PTSD symptoms. Exposure to traumatic experiences was the strongest factor of all predictors. Conclusion. Emotional support from friends and coping style were correlated with PTSD severity. School-based interventions that emphasizes coping with disaster related problems and problem-solving may prove to be useful, and may aid in building close and supportive ties with teachers, classmates, and friends.

• Asian Journal of Innovation and Policy
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• v.10 no.2
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• pp.236-248
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• 2021

The objective of this study is to introduce the urban utility concept that combines urban growth and urban disasters in the aspect of a conceptual theory. While many studies focused on the dollar amount damaged from a disaster, it requires adding not just building damages or human body losses but also the quality of life satisfaction. An issue in measuring the quality of life satisfaction needs to introduce a proper mode quantifying it. This study introduces the urban utility change in measuring the negative impacts of a disaster on urban life, which has been rarely investigated. To identify urban utility, urban flooding that is a cross-sectoral agenda and important to both developed and developing countries was adopted to respond to its increased frequency and damages, encouraging governments to focus on flood control policies. By combining a literature review on urban utility and urban growth, this study defined the urban utility concept as a net benefit of a resident with earnings subtracting housing and commuting costs. The theoretical study also explained that urban utility and its components dynamically change as per urban growth and disasters that even reversely affect urban growth. Because the urban utility can be one of the useful indices to appreciate the relationship between a disaster and urban growth, it is highly expected to apply for similar disaster impacts on urban areas, including COVID-19 and various global warming issues.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.353-354
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• 2023

과거와 달리 유독가스가 생성되는 화재, 폭발, 화학사고 및 급격한 기압차를 경험하게 되는 선박 침몰 구조 등 다양한 재난 혹은 사고 상황에서 고압산소치료가 욕구되며, 이를 수행할 수 있는 고압산소치료챔버는 재난에 대응하는 핵심 자원으로 그 수량과 배치가 적절해야 한다. 따라서 다양한 종류의 재난에서 발생하는 유독가스 피해자에게 고압산소치료는 필수적이나 본 연구에 의하면 국내에는 고압산소치료챔버의 숫자와 동시에 고압산소치료로 수용할 수 있는 환자수에도 한계가 있고 그 분포의 불균형도 존재하고 있어 재난 시 인명 피해 감소의 기반 장비, 시설로서 고압산소챔버의 균형있는 확산, 적용이 시급한 실정이며, 이는 가칭 재난고압산소지수로 객관화할 수 있다. 국내에서는 인구밀집지역인 수도권이 고압산소치료가 필요한 재난에 대한 대응 기반이 부족하다가 향상되고 있으며 부산, 경남 권역에 고압산소치료 자원이 편중된 현상을 보이고 있다. 고압산소치료 필요한 대량의 중환자 발생 시는 국내 전체의 고압산소치료기 활용 여부에 대한 실시간 모니터링 시스템이 필요하고 필요 시 원거리 피해자 전원 시스템을 갖추어야 하므로 이는 향후 구축해야 할 사항으로 이를 위한 전국적 고압산소치료기 모니터링 시스템이 필요하다.

• Journal of Korean Society of Disaster and Security
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• v.6 no.1
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• pp.73-78
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• 2013

This study aims to develop Drowning Management Index (DMI) to evaluate the effectiveness of drowning management in a region. In order to develop practical index to evaluate drowning management, downing contributors are examined. Drowning exposure rate is collected by survey. DMI is generated from South Korea and Australia for comparison. South Korea and Australia indicate similar number of drowning per 100 thousand people (1.7 South Korea, 1.4 Australia) but in DMI it turned out 9 times difference between two countries (15.5 South Korea, 1.67 Australia).