• Korean Journal of Remote Sensing
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• v.39 no.5_2
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• pp.771-783
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• 2023

This study aims to compare the performance of each machine learning model for preparing a grid-based disaster risk map related to flooding in Jung-gu, Ulsan, for Typhoon Chaba which occurred in 2016. Dynamic data such as rainfall and river height, and static data such as building, population, and land cover data were used to conduct a risk analysis of flooding disasters. The data were constructed as 10 m-sized grid data based on the national point number, and a sample dataset was constructed using the risk value calculated for each grid as a dependent variable and the value of five influencing factors as an independent variable. The total number of sample datasets is 15,910, and the training, verification, and test datasets are randomly extracted at a 6:2:2 ratio to build a machine-learning model. Machine learning used random forest (RF), support vector machine (SVM), and k-nearest neighbor (KNN) techniques, and prediction accuracy by the model was found to be excellent in the order of SVM (91.05%), RF (83.08%), and KNN (76.52%). As a result of deriving the priority of influencing factors through the RF model, it was confirmed that rainfall and river water levels greatly influenced the risk.

• Journal of the Society of Disaster Information
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• v.16 no.3
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• pp.594-601
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• 2020

Purpose: The purpose of the present study was to identify factors affecting anxiety about disaster damage potential in Gyonggi-do and evacuation behavior that influences evacuation behavior. Method: Multiple regression analysis was performed to test the hypothesis and to analyze the influence of anxiety about disaster damage potential and perceived stress, and analyzed similarity in correspondence between age and anxiety about disaster damage potential. Results: The anxiety about disaster damage potential of a group vulnerable to safety and anxiety about disaster damage potential of disaster system collapse were perceived in close proximity. Disaster system collapse, evacuation life, and natural disasters were found to be factors affecting perceived stress. Stress and natural disasters were found to be influencing factors on evacuation behavior. Conclusion: The necessity of managing stress was confirmed since anxiety about natural disaster damage potential and stress affect evacuation behavior. The recent experiences of heavy rain disasters indicate that the anxiety about disaster damage potential is expected to increase. The findings also indicate the importance of preventive planning and psychological management to manage the anxiety about disaster damage potential.

• Journal of the Society of Disaster Information
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• v.10 no.3
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• pp.366-372
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• 2014

As the disaster becomes bigger and more complicated and causes massive damage in the society, it becomes important to educate and exercise the people for the disaster response and safety. In this study, the effect of the disaster and safety education on the disaster risk assessment was evaluated. Disaster risk was calculated by the likelihood and consequences. The expert survey was used to evaluate the effect of the education on the likelihood and consequences. The inquiries were divided by the education target which makes different results of the survey. As a result, the disaster risk was reduced upto almost 48% when all people including the government workers and students were educated regularly. The result needs to be verified by the field data analysis. However, it provides the reason why the disaster and safety education is important.

• The Journal of the Korea Contents Association
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• v.7 no.11
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• pp.309-319
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• 2007

Right comprehension of the natural disaster could reduce the damage of human life and property by explaining the cause of the disaster and considering a counterplan to decrease or prevent it. To do this, it should precede to clarify the category of the natural disaster and classification. Also, when the disaster occurs, swift site survey and the establishment of the data by the professionals should be done for clarifying the reason. Our classification of the natural disaster is written on the Law of the Nature Disaster Relief. But, this classification is made for the management of the disaster, so it is required to review the establishment of the technical information by the professionals. Therefore, the Korean type classification is required considered by the professionals who collect and study the information of the natural disaster for the other countries. If the DB of the natural disaster is made, it is able to get various services through the internet virtual space and it will be helpful to prepare the prevent countermeasures against the disaster. In this research, the korean type classification plan of the natural disaster is suggested which is suitable to the professional technology by collecting and analyzing the domestic and the international classification of the natural disaster.

• Journal of the Society of Disaster Information
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• v.9 no.3
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• pp.276-281
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• 2013

This thesis grasped problems by examining the current status of disaster response system repeated during the disaster according to the changes of social environment and suggested current status of disaster response system and developmental measures through the investigation of the awareness of fire-fighting officer. On disaster site, close cooperation system of disaster safety measure headquarter and urgent rescue controlling association must be formed and range and time of the action must be accurately improved so as not to cause duplication of rights for orders. Also, systematic education and training system must be established so as to strengthen disaster site reaction capability and manpower and equipment for it must be increased. Finally, detailed measures for improving initial reaction capability during the disaster, such as tactic development, reaction plan establishment, etc, are requested.

• Journal of the Society of Disaster Information
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• v.13 no.4
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• pp.511-518
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• 2017

In this study, a research on disaster countermeasures to strengthen the disaster management field of rural areas. The purpose of this study is to investigate the measures to cope with the disaster in order to enhance the rural disaster management capacity. For this purpose, social and environmental characteristics of the rural area were examined and the characteristics of rural disaster perspective were derived. As for social characteristics, we analyzed the direct and indirect damage of disaster through interviews with residents affected by disaster. In the case of environmental characteristics, the factors that threaten the safety in the rural area were extracted based on the geographical and geographical characteristics of the rural area and quantitative analysis of the difference of the disaster response infrastructure compared with the city was conducted. In addition, it is necessary to further study the priority of disaster prevention in order to apply the disaster prevention method to rural areas.

• Journal of the Society of Disaster Information
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• v.14 no.4
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• pp.474-479
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• 2018

Purpose: This study focus on the disaster response process in the disaster field manuals. The process reflects the several kinds of disaster situation scenarios under the defined disaster types. Method: Firstly we defined the situation concept from the emergency types. And then, we makes each disaster response process based on the situations. Results: There are several kinds of the disaster response process in a disaster fields manuals. The most of the process has the duplicated SOP's among the situation types. In this paper, we developed the situation code sand then apply the codes to the process. As a result of the work, we defined one the disaster response process which includes the situational code in the each SOP. Conclusion: This study developed the several kinds of the disaster response process based on the disaster situation types. It makes that we can easily respond to the disaster.

• Journal of Korean Society of Disaster and Security
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• v.6 no.1
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• pp.19-27
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• 2013

Damage on assets and lives caused by natural disasters can be minimized by the provision of early warning information and preventive activities. In this sense, the importance of a disaster early warning system continues to increase. This study specifies the kinds of early warning systems depending on the type of natural disasters such as typhoon, flood and heavy snow. The mechanism for information transmission and status of early warning operations are analyzed. Through this analysis, the urgent need to establish a national integrated early warning transmission system is emphasized. In addition, this study offers methods to prevent unnecessary overlapping of investments by establishing an organic mechanism among individual early warning systems. Based on the standardization of disaster-related information, this study also provides methods to improve the efficiency of disaster early warning systems by organizing a permanent team for handling the systematic management and operation of the system.

• 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.

• Journal of the Society of Disaster Information
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• v.14 no.1
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• pp.36-42
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• 2018

Most of the disaster situation management system is focusing in the providing the situational information to support the decision of the commander. The information includes the sensing, CCTV, and weather data. Additionally, the reporting from the field agents is an axle of the data. These systems has weak in the field response capacities about the detail mission management to field agents. In this study, we focus in the development of the integrated model for SOP(Standard Operation Procedures) and situation information management.