• Journal of the Korean Society of Safety
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• v.35 no.5
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• pp.106-114
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• 2020

The two major trends that have emerged in recent years in relation to disaster recovery and recovery are 'regional infrastructure', 'regional leadership' and 'community recovery'. In the former case, it is to avoid disaster recovery and recovery by using external personnel and resources, and to maximize the resources in the area under the initiative of the residents of the affected area. And through this process, it is to prepare a new growth engine for disaster-affected areas. In addition, the latter expands disaster recovery targets to the general population living in affected areas and is not limited to victims. Through this, we can expect to recover the 'community' beyond the individual's recovery. In the Ansan of Gyeonggi-do, where many families of 'Sewolho' live, and in the Heunghae-eup of Pohang, Gyeongbuk-do, where the damage was severe, projects are underway to restore communities. And In these areas local activists and civic groups are actively utilized to efforts are being made to increase efficiency. Nevertheless, in the case of the community recovery program being promoted in Korea, there are limitations that it can be promoted only on the basis of special laws and that participation of various actors is necessary. This study intends to propose the limitations of current projects and ways to solve them by analyzing domestic and foreign cases related to the community recovery program for disaster-affected communities using local resources. we suggest two way. One is the relaxation of the national dependence of the community recovery program, and the other is to expand the area of disaster relief through.

• 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.

• Korean Journal of Remote Sensing
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• v.39 no.5_2
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• pp.785-798
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• 2023

Recently, forest fires have become frequent due to climate change, and the size of forest fires is also increasing. Forest fires in Korea continue to cause more than 100 ha of forest fire damage every year. It was found that 90% of the large-scale wildfires that occurred in Gangwon-do over the past five years were concentrated in the east coast area. The east coast area has a climate vulnerable to forest fires such as dry air and intermediate wind, and forest conditions of coniferous forests. In this regard, studies related to various forest fire analysis, such as predicting the risk of forest fires and calculating the risk of forest fires, are being promoted. There are many studies related to risk analysis for forest areas in consideration of weather and forest-related factors, but studies that have conducted risk analysis for forest-friendly areas are still insufficient. Management of forest adjacent areas is important for the protection of human life and property. Forest-adjacent houses and facilities are greatly threatened by forest fires. Therefore, in this study, a grid-based forest fire-related disaster risk map was created using factors affected by forest-neighboring areas using national branch numbers, and differences in risk ratings were compared for forest areas and areas adjacent to forests based on Gangneung forest fire cases.

• Proceedings of the KSRS Conference
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• v.1
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• pp.47-50
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• 2006

Tsunami disaster caused great damages and very large victims especially when occurs in urban area along coastal region. Therefore information of evacuation in a map is very important for disaster preparedness in order to minimize the number of victims in affected area. Here, information generated from remote sensing satellite data (SPOT 5 and DEM) and secondary data (administration boundary and field survey data) are used to simulate evacuation route and to produce a map for Padang City. Vulnerability and evacuation areas are determined based on DEM. Landuse/landcover, accessibility areas, infrastructure and landmark are extracted from SPOT 5 data. All the data obtained from remote sensing and secondary data are integrated using geospatial modelling to determine evacuation routes. Finally the simulation of evacuation route in Padang City for tsunami preparedness is provided based on the parameters derived from remote sensing data such as distances from shelters, save zones, city's landmarks and the local community experiences how they can survive with the disaster.

• Journal of Korean Society of Disaster and Security
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• v.15 no.1
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• pp.35-46
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• 2022

In this study, the amount of debris flow was calculated through the empirical equations of RUSLE, NILIM, and Marchi, which are widely used to calculate areas affected by debris flow, and debris flow measured through precise measurements and field surveys was compared. The RUSLE method over estimated by 2.13 times in the average sense compared with the measured sediment quantify and Marchi's empirical equation over estimated by 2.83 times while NILIM's empirical equation 1.26 times, which is the lowest error among the three empirical equation.

• Journal of Korean Public Health Nursing
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• v.34 no.3
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• pp.391-404
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• 2020

Purpose: This study investigates the disaster preparedness behaviors of people residing in disaster areas and the factors affecting such behaviors, by examining the application of a Health Belief Model. Methods: A mixed-method approach was used for this study. Local residents were surveyed in Gyeongju and Pohang, which had experienced earthquakes one to two years earlier. Quantitative data (N=233) were collected through a questionnaire and analyzed using t-test, one-way ANOVA, Scheffe test and multiple regression. Qualitative data (N=11) were collected through focus group and individual interviews, and evaluated through content analysis. Results: Disaster preparedness behaviors scored 7.04 out of 18 points, and factors that significantly affected disaster preparedness included cut to action, marriage status, experience of education and training related to disaster, benefit-barriers factors of disaster preparedness behaviors, and gender. The focus group and individual interviews confirmed the contents corresponding to each variable of the disaster preparedness behaviors and heal belief model. Conclusion: The findings of this study indicate that in order to induce disaster preparedness behaviors as well as education and training opportunities related to disaster relief, we need to examine cue to action of disaster preparedness behaviors, benefits, and barriers for motivating interventions.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.2
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• pp.139-149
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• 2012

Flooding caused by torrential rains and landslide causes the deaths of people and property damage as well as traffic congestion and isolation. Driver enters the dangerous area when driver doesn't recognize disaster information on the road and the damage is spread over time. In this paper, we will develop a smart phone application to collect dangerous disaster area information and a system based on C/S to manage the data received from the smart phone application. This system can analyze dangerous disaster areas using the data received from the smart phone application and the spatial database analyzed dangerous disaster areas is displayed in the smart phone application using a map server. We think that the suggested system provides more efficient information to user.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.2
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• pp.195-206
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• 2016

The remote sensing technique using SAR data have many advantages when applied to the disaster site due to its wide coverage and all-weather acquisition availability. Although a single-pol (polarimetric) SAR image cannot represent the land surface better than a quad-pol SAR image can, single-pol SAR data are worth using for disaster-induced change detection. In this paper, an automatic change detection method based on a mixture of GGDs (generalized Gaussian distribution) is proposed, and usability of the textural features and intensity is evaluated by using the proposed method. Three ALOS/PALSAR images were used in the experiments, and the study site was Norita City, which was affected by the 2011 Tohoku earthquake. The experiment results showed that the proposed automatic change detection method is practical for disaster sites where the large areas change. The intensity information is useful for detecting disaster-induced changes with a 68.3% g-mean, but the texture information is not. The autocorrelation and correlation show the interesting implication that they tend not to extract agricultural areas in the change detection map. Therefore, the final tsunami-induced change map is produced by the combination of three maps: one is derived from the intensity information and used as an initial map, and the others are derived from the textural information and used as auxiliary data.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.187-187
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• 2016

High intensity of population distribution in deltaic setting especially in Asia tends to have increased and causes coastal flood risk due to lower elevations and significant subsidence. Maximum or peak discharge of flood always causes numerous deaths and huge economic losses. New technology of spatial satellite image has been applied to analyze flood damage. In this research, the relationship of nightlight intensity associated with flood damages has been determined during 1992-2013 with spatial resolution of 30 arc sec ($0.0083^{\circ}$) which is nearly one kilometer at the equator in whole six countries along the Mekong River (i.e., China, Myanmar, Lao PDR, Thailand, Cambodia and Vietnam). ArcGIS Hydrological Flow Length Tool has been used to determine the distance of each pixel areas from the rivers and streams. Statistical analysis results highlight the significant correlation R = 0.47 between nightlight digital number and economic damages per unit area (US$/km2) and R = 0.62 for number of affected people for unit area ($people/km^2$). The areas near by the Mekong River and its tributaries correspond to high flood damage. This spatial analysis result is going to be prestigious key information to the regions and all related stakeholders for decisions and mitigation strategies.

• Journal of the Society of Disaster Information
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• v.9 no.3
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• pp.347-357
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• 2013

Abstract The objective of this study is to investigate and analyze understanding of residents living in landslide disaster impact areas to landslide mitigation and recovery projects with respect to develop socio-economic damage level standards of landslide disasters. South Korea is one of the representative mountain-side urbanized countries that cities have been developed through mountain-side urbanization due to high population density because mountain areas occupy 64 percent of the total land proportion. South Korea were recently suffered from the massive landslide disasters with significant causality that overcomes the annual drowned causality of flood disasters. Consequently, the total death toll of South Korea landslide disasters including unexpected Mt. Woo-Myun disaster and Chuncheon disaster in 2011 became forty-three persons. The hugh amount of disaster management budget was spent in landslide mitigation and recovery projects of the affected areas. This research performed facility field research and resident surveys for landslide damage conditions and damage factors for Mt. Woo-Myun, Chuncheon, Pusan, and Dongdoochon that were major effect cities of 2011 landslide disasters.