• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.5
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• pp.509-517
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• 2011

Recently, large scale of the damage from the natural disasters are occurring frequently such as Japanese and New Zealand's earthquake. Collecting information quickly and accurately from damaged area is important for effective react in emergency situations. UAV is effective method to collect information because it can fly low attitude and spend small operational costs/time. In this study, collecting data about the UAV regulations are analyzed for effective UAV operation in disaster detection. And Improvement of Regulations were proposed about Problem of UAV Operation. Regulation of UAV for disaster detecting is not exist. But It's possible to classify into Ultra Light Plane. So addition of some clauses like definition, scope and air-borne equipment for UAV will be needed. Also, it is difficult to manage effectively because of process about flight permission, therefore it is need to enact exceptional regulations to solve this problem. More analytical research based on applications of UAV operation for disaster detection will be present improvement of disaster detection and damage investigation.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.125-126
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• 2019

This study aims to recognize damage indicators of typhoon and to develop damage function's indicators, using information derived from the actual loss of typhoon Maemi. As typhoons engender significant financial damage all over the world, governments and insurance companies, local or global, develop hurricane risk assessment models and use it in quantifying, avoiding, mitigating, or transferring the risks. For the reason, it is crucial to understand the importance of the risk assessment model for typhoons, and the importance of reflecting local vulnerabilities for more advanced evaluation. Although much previous research on the economic losses associated with natural disasters has identified the risk indicators that are indispensable, more comprehensive research addressing the relationship between vulnerability and economic loss are still called for. Hence this study utilizes and analyzes the actual loss record of the typhoon Maemi provided by insurance companies to fill such gaps. In this study, natural disaster indicators and basic building information indicators are used in order to generate the vulnerability functions; and the results and indicators suggest a practical approach to create the vulnerability functions for insurance companies and administrative tasks, while reflecting the financial loss and local vulnerability of the actual buildings.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.1
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• pp.34-42
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• 2012

Life and Property damage has increased during traffic congestion and isolation because natural disasters such as flood and landslide have occurred every year. When disaster occurs, if there is insufficient information in advance when entering the flooding areas which subsequently cause confusion. In this paper, we developed the system that could provide display of detour route using disaster information and evacuation route in disaster areas. User will receive result of analysis using smart phone application to prevent additional damages when disaster areas were entered by manager.

• Journal of the Korean Society of Hazard Mitigation
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• v.8 no.2
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• pp.65-73
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• 2008

Since the damages caused by disasters increase every year associated with wrenching climatic changes and the diversification of the social structure, the efficient management system is required to reduce damages and an assessment of the vulnerable disaster areas is necessary to prevent and mitigate the damages. In this paper, we have estimated the vulnerable disaster areas based on the records of the past damage histories and performed the risk assessment of the social infrastructures in Busan city to provide the fundamental information for the real-time monitoring system and the systematic approach for disaster prevention system to build V-City model. These results are illustrated by using Geographical Information System (GIS) and the order of vulnerable disaster areas are also estimated.

• Research in Community and Public Health Nursing
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• v.15 no.1
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• pp.145-154
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• 2004

Purpose: This study was performed to identify the extent of flood damage, the quality of life(QOL) and their relationships to flood victims. Method: The subjects of this study were 248(men 100, women 148) who live around seven areas in K province impacted by Typhoon Rusa. Data was collected between February 25 and March 21, 2003 by structured questionnaires. The instruments were composed of two parts. The extent of flood damage were the impacts of daily living by revised from Ginexi et aI.(2000). QOL was used to WHOQOL BREF Korean Version by Min et al.(2002). The SPSS program was used for its descriptive, reliability, and correlation analysis. Result: The means of the extent of flood damage were: daily living 1.88, economy 4.60, and health 3.75. The mean of total QOL was 2.95: social domain 3.29, overall satisfaction 3.09, physical domain 3.06, psychological domain 2.95, and environmental domain 2.68. The negative correlations were between the Impact of daily living and Total QOL(r=-.143, p<.05), Physical QOL(r=-.220, p<.01) and Overall satisfaction (r=-141, p<.05). Conclusion: This study has learned that the impact of the flood had negative effects on the flood victims quality of life, and the difficulties they faced in their daily lives. Further research will be needed to explore influencing factors on QOL in disaster victims.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.273-274
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• 2022

최근 불안정한 기후로 대규모 재해재난이 자주 발생하고 있으며, 인적·물적피해도 크게 늘어나고 있다. 단적인 예로 경북 포항 지하주차장 침수 피해 및 포항제철소 고로 3기 가동 중단은 기록적인 폭우와 만조와 겹친 냉천의 범람이 주요 원인으로 지목되고 있다. 하지만 사전에 충분한 예방, 대비를 했더라면 인적·물적 피해를 최소화 할 수 있었을 것이다. 재난 및 안전관리기본법에서는 국가와 지방자치단체가 재난이나 그 밖의 각종 사고로부터 국민의 생명·신체 및 재산을 보호할 책무를 지고, 각종 사고를 예방하고 줄이기 위하여 노력하도록 하고 있다. 또한 재해경감을 위해 예방, 대비, 대응, 복구에 대한 의무를 부과하고 있다. 따라서 이번 경북 포항 침수피해의 문제점을 살펴보고 재난 및 안전관리기본법에서 규정하고 있는 예방, 대비, 대응, 복구 차원에서 피해 최소화를 위한 재난 대응방안을 모색하고 개선하는데 있다.

• Magazine of the Korean Society of Agricultural Engineers
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• v.23 no.4
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• pp.41-45
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• 1981

This study is to be surveyed the rural environmental conditions such as housing, water works, sewerage, road and farm road, land utilization, natural conservation and sightseeing, public damage and disaster, and rural water requirement through the 50 villages (10995 home unit) The brief results summarized in this study are as follows. 1.Modernization of rural housing, toilet room and arrangement of dust materials are getting better than before l0yrs. 2.Water works are highly improved but sewerage problem is still in the serious problems. 3.Rood achievement is quite good but farm road is in still insufficiency 4.Utilization of land resources should be maximaized but land conservation is still insufficient condition and farm land is getting polluted. 5.Natural environmental conservation is much more improved but landscape is still insufficient. 6.Public damages such as water pollution, air pollution, and others are getting greater and greater but meteorological damage should be decreased. 7.Watershed condition is getting better and better but because of the large requiriment of the water use for the crops, agricultural water use should be needed much more than before l0yrs.

• Journal of Forest and Environmental Science
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• v.24 no.3
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• pp.137-142
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• 2008

In this paper, we apply a logistic regression model to the data of snow damage on sugi (Cryptomeria japonica) occurred in Toyama prefecture (in Japan) in 2004 for estimating the risk probability. In order to specify the factors effecting snow damage, we apply a model selection procedure determining optimal subset of explanatory variables. In this process we consider the following 3 information criteria, 1) Akaike's information criterion, 2) Baysian information criterion, 3) Bias-corrected Akaike's information criterion. For the selected variables, we give a proper interpretation from the viewpoint of natural disaster.

• Journal of the Korean association of regional geographers
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• v.13 no.4
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• pp.396-408
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• 2007

Natural disasters occurred in Inje and Pyeongchang in 2006 show that unusual changes of weather, which Korean Peninsula has not experienced before, are becoming quite common phenomenon nowadays. In future we have to proceed in the direction of preventing such disasters so as to minimize the damage, by analyzing character and cause of various disasters whenever necessary, performing modeling in simulated real world, and applying the results in disaster prevention policy next year. Applying GIS in this process, the best information for decision-making can be offered. This study has also progressed proceeding from such point of view. The results of this study show that local concentrated heavy rain, caused by the primary topographical factor in the Sulak mountain region, was the main cause of flood disaster occurred in Inje-Gun area in July of 2006. Local concentrated heavy rain is greatly affected by topography. Namely, if there is a mountainous region behind, the area opposite to the direction of rain clouds motion will have high possibility of local concentrated heavy rain.

• Journal of Korea Water Resources Association
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• v.56 no.4
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• pp.261-272
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• 2023

In recent years, natural disasters such as heavy rainfall and typhoons have occurred more frequently, and their severity has increased due to climate change. The Korea Meteorological Administration (KMA) currently uses the same criteria for all regions in Korea for watch and warning based on the maximum cumulative rainfall with durations of 3-hour and 12-hour to reduce damage. However, KMA's criteria do not consider the regional characteristics of damages caused by heavy rainfall and typhoon events. In this regard, it is necessary to develop new criteria considering regional characteristics of damage and cumulative rainfalls in durations, establishing four stages: blue, yellow, orange, and red. A classification model, called DSCM (Disaster Severity Classification Model), for the four-stage disaster severity was developed using four machine learning models (Decision Tree, Support Vector Machine, Random Forest, and XGBoost). This study applied DSCM to local governments of Seoul, Incheon, and Gyeonggi Province province. To develop DSCM, we used data on rainfall, cumulative rainfall, maximum rainfalls for durations of 3-hour and 12-hour, and antecedent rainfall as independent variables, and a 4-class damage scale for heavy rain damage and typhoon damage for each local government as dependent variables. As a result, the Decision Tree model had the highest accuracy with an F1-Score of 0.56. We believe that this developed DSCM can help identify disaster risk at each stage and contribute to reducing damage through efficient disaster management for local governments based on specific events.