• Journal of the Korea Safety Management & Science
• /
• v.12 no.2
• /
• pp.17-23
• /
• 2010

The large-scale disasters occur to unexpected accidents such as natural disasters(earthquake, typhoon, tsunami, etc.), and human-caused accidents(fire, collapse, terror etc.). Rescue teams perform rescue activities to save many lives in large-scale disaster area. The main purpose of this study is to compose a optimal routing planning for rescue of multiple victims in disaster area. A realistic routing planning with rescue limit time which considers rehabilitation and reconstruction will be suggested in this study. A mathematical programming model and a hybrid genetic algorithm will be suggested to minimize the total spending time. By comparing the result, the suggested algorithm gives a better solution than existing algorithms.

• Journal of Environmental Science International
• /
• v.14 no.6
• /
• pp.613-619
• /
• 2005

Recently, we are suffered enormous loss from a natural disaster and making an effort to prepare measures for dealing with disasters. This study shows the major causes of natural disasters and stricken area with the analysis of meteorological data based on the Korean Meteorological Administration and the Central Disaster Relief Center records during 1987-2003 and classifies natural disasters according to the causes and damaged conditions. In this study, the most damaged area were Gangwon, Gyeongnam and Gyeongi province as a result of a typhoon and a localized heavy rain. To establish an effective disaster measure for these area, detailed prevention plans should be established by its causes after investigating precise regional damage data analysis.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.14 no.3
• /
• pp.126-135
• /
• 2011

In this study, the algorithm for priority area of forest fire surveillance was developed to enhance the effectiveness of fire detection. The high priority surveillance area for forest fire detection was defined as the area with not only low value of viewshed analysis of the lookouts and detection cameras but also high fire occurrence probability. To build the priority map, fuzzy function and map algebra were used. The analysis results of Bonghwa-gun, Gyeongbuk Province, showed that the surveillance priority of central and southern area is higher than north area. This algorithm could be used in the allocation of fire prevention resources and selection of suitable point for new fire detection system.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.5 no.1 s.16
• /
• pp.1-12
• /
• 2005

In the area of disaster management, we have more focused on the rapid response and recovery, but preventive approach for disaster is becoming more and more important. For mitigation of disasters, we need to analyze the vulnerable area according to each disaster, and need to manage those area systematically. In this research, we selected the fire as a type of disaster, developed guideline of construction of vulnerability map of fire, and built the vulnerability map of fire in Changshin-Dong, Jongro-Gu, Seoul as a case study area. The vulnerability map of fire can be applied to grasp the vulnerable area in advance and manage it systematically. In addition, it can also be applied in the landuse planning and the rearrangement of infrastructure for the mitigation of disaster when we build detail city planning.

• Proceedings of the Korea Contents Association Conference
• /
• 2012.05a
• /
• pp.193-194
• /
• 2012

Most of the Historic Preservation Areas are very weak to fire disasters. The aim of this study is to build a proposal-scheme for evacuation routes planning at a large-scale disaster in a historic preservation area. The study area is a preservation area called "Hizen-Hama-Shuku" which has many straw-roofed wooden houses in Kashima city, Japan. To achieve this aim, outline of the scheme is discussed. The proposal-scheme of evacuation routes consists of objectives to propose, target time to evacuate for the refuge place, evaluation method, and procedures. The existing condition and the measures are evaluated using the software "SimTread".

• 한국방재학회:학술대회논문집
• /
• 2008.02a
• /
• pp.763-766
• /
• 2008

This study was investigated to the conditions of coastal disaster prevention forests in coastal sand dune in Korea. As a result new planed area were about 250.05ha of 576 sites and average area per site is about 0.43ha. Therefore, it is necessary to readjust it in 1 ha/site for standard of new plan area and 10 ha/year for establishment quantity. In addition, the maintenances methods for about 1,479 ha in the forested area of coastal disaster prevention forest and the basic investigations for forests close to coastal were carried out as soon as possible.

• Journal of Digital Contents Society
• /
• v.18 no.5
• /
• pp.905-910
• /
• 2017

In this paper, we were proposed an on-site smart integrated monitoring system for securing an independent network infrastructure (wireless communication, image transmission and site situation detection) in disaster area. The proposed system was designed not only for the entire structure of the disaster safety communication network but also for the effective exchange of information between the field crew team and the field command and control center at the disaster site. Also, the proposed Smart Integrated Monitoring System supports wireless communication between field crews at the disaster site and supports communication with the drone to collect disaster scene video information. Therefore, the on-site smart integrated monitoring system enables to obtain the complete image of the surrounding area in case of a disaster and to efficiently command the field crew.

• Journal of Construction Engineering and Project Management
• /
• v.1 no.3
• /
• pp.45-51
• /
• 2011

During disaster response, prioritization of limited resources is one of the most important but challenging tasks. At the same time, it is imperative to timely provide to the rescuers with the adequate heavy equipment to facilitate lifesaving operations. However, supply of high demand equipment is usually insufficient during the initial phase of disaster response, challenging lifesaving operations. At the same time, resources outside of the disaster affected zone converge into the area to assist the response efforts, which is the effect of convergence that often made resource coordination challenging in large scale disasters. Meanwhile, the initial condition of the disaster is usually best known by civilians already at the area before and during impact of the disaster. The knowledge of the civilians is not always received and considered by the responding organizations. With the help of these civilians, critical information such as victim location, infrastructure damage, and risk condition could be better know before any response actions are taken. To efficiently collect information and utilize the converging resources, this paper proposes a geospatial information repository for initial condition reporting and update to guide search and rescue operations and deployment of equipment with safety considerations for the rescuers in large scale disaster response scenarios.

• Journal of the Society of Disaster Information
• /
• v.13 no.3
• /
• pp.388-397
• /
• 2017

Due to urbanization and industrialization, urban and rural areas show differences in various characteristics such as population structure, economic level and infrastructure, but disaster safety measures do not reflect these characteristics. In this study, the theoretical review on the disaster environments of urban and rural areas was carried out, and the survey of consciousness on disaster and safety(unstructured elements, structured elements, personel elements, environmental elements) targeting the idents was carried out in order to investigate the consciousness of residents in urban and rural areas for disaster safety. Also based on the survey result, the matters to be reflected when establishing a regional disaster management plan in future were drawn.

• Journal of Korean Public Health Nursing
• /
• v.33 no.3
• /
• pp.420-432
• /
• 2019

Purpose: This study examined the relationships among disaster nursing knowledge, disaster preparedness attitudes, and disaster nursing competency among nursing students by identifying the predictors of disaster nursing competency. Methods: The study participants were 306 nursing students in the nursing departments of 3 universities located in G City and J Province. The data was analyzed using descriptive statistics, t-test, analysis of variance, the Pearson correlation coefficient, and multiple regression analysis. Results: The participants' scores for disaster nursing knowledge, disaster preparedness attitudes, and disaster nursing competency were 5.41±1.68, 4.29±0.46, and 2.84±0.78, respectively. Disaster nursing knowledge, disaster preparedness attitudes, and disaster nursing competency exhibited positive correlations. The factors influencing disaster nursing competency among nursing students included disaster nursing knowledge, disaster preparedness attitudes, year level, disaster training experience, first-aid training experience, disaster area experience, medical service experience, and disaster severity awareness. These variables explained 17% of the variance in disaster nursing competency. Conclusion: Disaster nursing knowledge and disaster preparedness attitudes was positively related to disaster nursing competency. The findings of this study indicate that it is important to develop and apply education programs aimed at increasing disaster nursing knowledge and enhancing disaster preparedness attitudes among nursing students to improve nursing students' disaster nursing competency.