• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.1-9
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• 2017

In recent years after the Sewol Sank, the surroundings of Fire have rapidly changed and citizens need for Fire have been demanding very high. Under these situations, in order for satisfaction to all these demands, Seoul Metropolitan Fire & Disaster Headquarters(SMFDH) have made improvements of Golden Time in the field of disaster as the leader of Fire Department in Korea. SMFDH has been practicing many kinds of plans, or projects to achieve Gold Time of 55 types of disaster. However, There have been questioning about all these projects if they are working for the achievement. The purpose of this study is to scrutinize current projects for Golden Time Targeting focused on Mapo fire fighters as first responders and to cope with how to make them better for Seoul Citizens' safety by using SPSS(Statistical Package for the Social Science) Statistics 24. The result of this study presents that how we can find to be all the project for Golden Time Targeting running well. And This study will be positively applied to Seoul fire policies or helped for setting them up better.

• Journal of the Korean Data and Information Science Society
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• v.22 no.4
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• pp.691-699
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• 2011

Land sliding is one of well-known nature disaster. As a part of effort to reduce damage from land sliding, many researchers worked on increasing prediction ability. However, because previous studies are conducted mostly by non-statisticians, previously proposed models were hardly statistically justifiable. In this paper, we predicted the probability of land sliding using the logistic regression model. Since most explanatory variables under consideration were correlated, we proposed the final model after backward elimination process.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.11a
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• pp.122-123
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• 2018

Although the disaster rate of the industry as a whole is on a downward trend, the disaster rate of the construction industry is on an ongoing trend. Therefore, in this study, we analyzed safety accident statistical data of the construction site over the past three years. As a result of the analysis, the incidence of disasters at small construction sites was very high. And the proportion of disaster occurred for workers who worked in less than 6 months even roughly 92.6%. In addition, as a result of analyzing the form of disaster occurrence, the crash was 34.1% and the fall was 15.1%. The analysis results of these construction safety accidents are to provide as a basic material for developing a policy that can prevent safety accidents and a safety accident prediction model.

• Journal of the Society of Disaster Information
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• v.16 no.2
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• pp.223-236
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• 2020

Purpose: In this study, a strong wind damage prediction function was developed in order to be used as a contingency during disaster management (preventive-preventive-response-recovery). Method: The predicted strong wind damage function proposed in this study took into account the re-enactment boy power, weather data and local characteristics at the time of damage. The meteorological data utilized the wind speed, temperature, and damage history observed by the Korea Meteorological Administration, the disaster year, and the recovery costs, population, vinyl house area, and farm water contained in the disaster report as factors to reflect the regional characteristics. Result: The function developed in this study reflected the predicted weather factors and local characteristics based on the history of strong wind damage in the past, and the extent of damage can be predicted in a short time. Conclusion: Strong wind damage prediction functions developed in this study are believed to be available for effective disaster management, such as decision making by policy-makers, deployment of emergency personnel and disaster prevention resources.

• Research in Community and Public Health Nursing
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• v.30 no.2
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• pp.217-225
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• 2019

Purpose: The purpose of this study is to assess socio-demographic, disaster-related, physical health-related, psychological, and social factors that may adversely affect disaster victims' QoL (Quality of Life). Methods: A cross sectional study was designed by using the secondary data. From the 3rd Disaster Victims Panel Survey (2012~2017), a total of 1,659 data were analyzed by using descriptive statistics including frequency, percentage, t-test, ANOVA, and multivariate linear regression. Results: Older people with lower health status lacking financial resources prior to a disaster were more at risk of low levels of QoL. Lower levels of perceived health status, resilience, and QoL were reported by disaster exposed individuals, while their depression was higher than the depression in the control group of disaster unexposed ones. Resilience, social and material supports were positively associated with QoL whereas depression and PTSD (Post-Traumatic Stress Disorders) were negatively associated. Conclusion: These findings suggest that psychological symptoms and loss due to disasters can have adverse impacts on the QoL of disaster victims in accordance with their prior socio-demographic background. They also indicate that targeted post-disaster community nursing intervention should be considered a means of increased social support as well as physical and mental health care for disaster victims.

• Journal of the Korean Society for Environmental Technology
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• v.18 no.2
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• pp.165-172
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• 2017

In current stage, it is hard to predict the scale of damage caused by natural disaster and it is hard to deal with it. However, in case of disaster planning level, if it is possible to predict the scale of disaster then quick reaction can be done which will reduce the damage. In the present study, therefore, function of wind wave damage estimation among various disaster is developed. Damage of wind wave and typhoon in eastern and Jeju coastal zone was collected from disaster report (1991~2014) published by Ministry of Public Safety and Security and to reflect inflation rate, 2014 damage cost was converted. Also, wave height, wind speed, wave direction, wave period, etc was collected from Meteorological Administration and Korea Hydrographic and Oceanographic Administration web site. To reflect the characteristic of coastal zone when wave damage occurs, CODI(Coastal Disaster Index), COSI(Coastal Sensitivity Index), CPII(Coastal Potential Impact Index) published by Korea Hydrographic and Oceanographic Agency in 2015 were used. When damage occurs, function predicting wind wave damage was developed through weather condition, regional characteristic index and correlation of damage cost.

• Journal of the Korea Safety Management & Science
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• v.9 no.6
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• pp.19-29
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• 2007

According to industrial disaster statistics by the Ministry of Labor in 2006, out of 11,688,797 people working at 1,292,696 business places that apply Industrial Disaster Indemnity Act, 89,910 workers were involved in an accident that more than 4 days of medical treatment requires. Among this figure 2,453 people lost their precious lives. "89,910 industrial disaster victims per annum" is showing the safety level of our industrial situation. To prevent such industrial disaster, the most typical and distinctive method is Accident-free Campaign. At the beginning, the movement arose with devotion through out the entire industry. But, the heartbreaking fact is that the fever is getting cool gown as times goes by. Therefore, opportunity for revitalization of this movement is required. The movement should be practically supporting principle of respect for human life and dignity. And it should be established with analysis on industrial disaster and systematize Accident-free Campaign totally in connected research.

• The Journal of Korean Academic Society of Nursing Education
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• v.18 no.3
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• pp.424-435
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• 2012

Purpose: The purpose of this study was to investigate the disaster experience (accidents, education etc) and the concern for disaster preparedness of college students. Methods: This research design was a descriptive study. Data were collected from November 1, 2011 to December 30, 2011 and analyzed by the SPSS PASW statistics 18.0 program. Results: There were statistical significances in major (p<.050), grade(p<.001), and a completed disaster class(p<.001) between general characteristics and concern for disaster preparedness. The major disaster events that occurred from 2003 to 2010 in Korea were the 2007 Taean oil spill (85.4%), the 2003 Daegu subway fire (82.7%), and the 2008 Sungnyemun fire (62.9%). The possible disaster events in Korea were hurricanes, floods, fires (including wildfire), and the shutdown of communication lines. Subjects learned about cardiopulmonary resuscitation (18.2%), first aid for bleeding and fractures (17.8%), a fire drill (14.3%), and an escape drill for an earthquake (14.0%). They wanted to learn the fire drill (11.33%), the escape drill for an earthquake (9.7%), a war drill (9.0%), a disaster confrontation drill on the subway (8.6%), and a fire and explosion evacuation drill (8.4%). Half of subjects were not prepared with emergency supplies for disasters because they thought that a disaster would not occur. Conclusion: It is necessary to develop the disaster educational programs according to subject's demands in Korea.

• Journal of the Korean Society of Hazard Mitigation
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• v.7 no.3
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• pp.41-49
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• 2007

In order to reduce the amount of damage from natural disasters and perform the natural disaster mitigation program, the prevention activities and forecasting based on meteorological parameters and disaster datas are required. In addition, it is necessary to process prevention meteorological information for prevention activities in advance. For this, we have analyzed four data, such as Statistical yearbook of calamities and Statistics Yearbook issued by the Ministry of Government Administration and Human affairs. And Annual Climatological Report issued by the Korea Meteorological Administration and Recently 10 years for natural disaster damage from the Central Disaster and Safety Countermeasures Headquarters. We analyzed the causes, elements, occurrence frequencies, and vulnerable areas of natural disaster, using the 4 disaster datas, but these datas was not consistent with their terminology and items. Through the analysis of a kind and damage of disaster, we have selected the disaster variables, such as causes and elements, the amount of damage, vulnerable areas of natural disaster, etc and made a database. This database will be used to assess the natural disasters and develop the risk model and natural disasters mitigation plan.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.1
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• pp.53-61
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• 2021

The quantified analysis of damages to wastewater treatment plants by natural disasters is essential to maintain the stability of wastewater treatment systems. However, studies on the quantified analysis of natural disaster effects on wastewater treatment systems are very rare. In this study, a total disaster index (DI) was developed to quantify the various damages to wastewater treatment systems from natural disasters using two statistical methods (i.e., AHP: analytic hierarchy process and PCA: principal component analysis). Typhoons, heavy rain, and earthquakes are considered as three major natural disasters for the development of the DI. A total of 15 input variables from public open-source data (e.g., statistical yearbook of wastewater treatment system, meteorological data and financial status in local governments) were used for the development of a DI for 199 wastewater treatment plants in Korea. The total DI was calculated from the weighted sum of the disaster indices of the three natural disasters (i.e., TI for typhoon, RI for heavy rain, and EI for earthquake). The three disaster indices of each natural disaster were determined from four components, such as possibility of occurrence and expected damages. The relative weights of the four components to calculate the disaster indices (TI, RI and EI) for each of the three natural disasters were also determined from AHP. PCA was used to determine the relative weights of the input variables to calculate the four components. The relative weights of TI, RI and EI to calculate total DI were determined as 0.547, 0.306, and 0.147 respectively.