• 대한원격탐사학회지
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• 제39권5_2호
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• pp.837-847
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• 2023

본 연구는 사고현장에서 화학물질로 인해 발생한 사고지점의 피해면적을 식생지수로 산출하는 방안을 연구하였다. 자료수집은 두 종류의 드론을 활용하였으며, 사진측량기법을 적용한 3차원 점군자료에서 피해면적을 산출하였다. 다중분광센서의 분광대역 정보를 활용하여 제작한 정사영상을 토대로 식생지수 영상을 제작하였고, 임계값에 따른 피해면적의 결과로 사고현장에 대한 통계를 분석하였다. 근적외선 밴드 기반의 식생지수 Kappa 값은 0.79, 녹색 밴드 기반의 식생지수는 0.76으로 화학물질사고 조사현장에서 식생지수를 활용한 피해면적 분석 방법을 활용할 수 있을 것으로 판단된다.

• 대한간호학회지
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• 제33권6호
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• pp.829-838
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• 2003

Purpose: In South Korea, as growing the need of psychological support in disaster situation psychological assessment on stress after disaster is important to find out the factors affecting coping, and to plan intervention in the community. Method: The volunteers of Korea Redcross who live around K city, and the research team visited all homes at Jirye town, one of the high-impact area, 4 month after the typhoon. One of the family members who is over 18 years old, answered the self-report questionnaire composed of disaster experience, damage, exposure to traumatic event, and posttraumatic stress with IES-K (Impact of Event Scale-korea) He also, described his family members symptom related to re-experiencing, hyper-arousal, and avoidance. Six hundreds households were surveyed. Result: The prevalence of moderate to severe PTSD symptom was 36% of the subjects. The severity of PTSD was affected by gender, economic status and affected by damaged property, physical injury, worsening existing disease, getting infectious disease, amount of experienced traumatic event before disaster, warning, taking shelter, and subjects revealed differences in somatization as severity of PTSD. According to the description, community members had re-experiencing, hyper-arousal and avoidance. Conclusion: At a rural area, South Korea, community members have suffered from psychological distress after disaster. So psychological interventions are required as affecting factors and also to plan for warning and shelter in disaster situation is needed for preventing PTSD.

• 한국방재안전학회논문집
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• 제14권1호
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• pp.51-59
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• 2021

국토의 64%가 산지로 이루어진 우리나라에서는 하절기에 집중되어 있는 태풍과 국지성 호우로 산사태와 토석류와 같은 산지 재해 피해가 빈번하게 발생하고 있다. 연구대상 지역은 2019년 10월 태풍 미탁에 의해 토석류 피해가 발생했던 지역으로 하류부에 위치한 주택이 전파되는 등 시설물에 많은 피해가 발생했다. 본 연구에서는 침식과 퇴적 작용을 고려할 수 있는 Hyper KANAKO 모형을 이용하여 토석류 피해가 발생한 지역에 대해 수치모의를 실시하였으며, 실제 피해 면적과 모형의 분석 결과를 비교하여 모형의 적용성을 검토하였다. 수치모의 결과 대상 지역의 토석류 피해 면적은 53,875 m²로 나타났으며, 최대 유동심은 2.4 m, 평균 유동심은 1.7 m로 분석되었다.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2008년도 정기총회 및 학술발표대회
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• pp.395-398
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• 2008

There was heavy rains that happened for 23 days consecutively in 2006. Many regions have suffered because of rains and among them In-Je and Pyung-Chang area are the most suffered areas at that time. I conducted field survey at those two regions. The case of other damaged regions also reviewed in this paper and volunteer activity of volunteer groups is reviewed. I intended to make clear the volunteer activity system through analysing need capacity of volunteers. Main suggestions are as below. In management system, the nexts are discussed. Improving the ability of village headmen and volunteer groups that manage relief stuffs at the first level and cooperating method with companies are discussed. Supporting system for isolated regions and necessity about developing operating manual are suggested. In education system, specialized education for different disaster areas, field orientation education, and training managerial positions are suggested. In supporting system, improving NDMS(National Disaster Management System), computerized program for volunteer management, insurance for volunteers, issuing a confirmation of volunteering activity, securement of emergency communication system, budget for prevention and donation are also suggested.

• 대한원격탐사학회지
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• 제36권1호
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• pp.29-39
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• 2020

Forest fire is a critical disaster that causes massive destruction of forest ecosystem and economic loss. Hence, accurate estimation of the burned area is important for evaluation of the degree of damage and for preparing baseline data for recovery. Since most of the area size damaged by wildfires in Korea is less than 1 ha, it is necessary to use satellite or drone images with a resolution of less than 10m for detecting the damage area. This paper aims to detect wildfire-damaged area from a Kompsat-3 image using the indices such as NDVI (normalized difference vegetation index) and FBI (fire burn index) and to examine the classification characteristics according to the methods such as Otsu thresholding and ISODATA(iterative self-organizing data analysis technique). To mitigate the salt-and-pepper phenomenon of the pixel-based classification, a gaussian filter was applied to the images of NDVI and FBI. Otsu thresholding and ISODATA could distinguish the burned forest from normal forest appropriately, and the salt-and-pepper phenomenon at the boundaries of burned forest was reduced by the gaussian filter. The result from ISODATA with gaussian filter using NDVI was closest to the official record of damage area (56.9 ha) published by the Korea Forest Service. Unlike Otsu thresholding for binary classification,since the ISODATA categorizes the images into multiple classes such as(1)severely burned area, (2) moderately burned area, (3) mixture of burned and unburned areas, and (4) unburned area, the characteristics of the boundaries consisting of burned and normal forests can be better expressed. It is expected that our approach can be utilized for the high-resolution images obtained from other satellites and drones.

• 한국안전학회지
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• 제26권2호
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• pp.83-88
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• 2011

Annually, many parts of the Korea have been damaged from the localized heavy rain and/or typhoons which peak between June and September, which result in extensive financial and human loss. Especially, because the most area of Gangwon province is composed of the steep slope mountains, the damages by the debris flow or land-sliding are more frequent and the frequency has been increased. To analyze the characteristics and causes of these debris flow disasters, lots of study are recently being conducted through database of weather, hydrologic, soil etc using a GIS or remote sensing. In this study, we applied GIS method to analyze the risk of the debris flow area. With the statistical analysis and infinite slope stability model(SINMAP), the debris flow risk level of the mountain slope was generated. As a result, the GIS statistical analysis showed high correlation that former model of SINMAP in determining the debris flow risk area.

• 한국재난정보학회 논문집
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• 제13권3호
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• pp.398-404
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• 2017

본 연구에서는 농촌지역 재난안전마을 구축을 위하여 최근 발생한 충청지역 수해 현장조사를 실시하였다. 또한 2006년 수해로 인해 인명 및 재산피해를 입은 강원도 인제군 가리산리 마을에 대해서 방재적 측면으로 복구하여 현재까지 방재체험마을로 운영하고 있는 지역을 구조적 및 비구조적 현황에 대해 모니터링을 통하여 이력 및 특성을 분석하였다. 이를 바탕으로 향후 농촌지역 재난안전마을 구축 시 적용방안을 검토하였다. 특히, 가리산리 방재체험마을은 수해복구 당시 주민의 참여가 적극적으로 반영되었으며 현재까지 농산촌 재난안전마을의 수범사례로 운영되고 있고 주민의 방재역량도 강화하기 위해 자체 훈련, 교육 등 다양한 활동을 수행하고 있다. 이러한 특성을 바탕으로 농촌지역 재난안전마을 구축 시 적절하게 적용되어 운영되어야 할 것이다.

• Journal of Forest and Environmental Science
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• 제30권4호
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• pp.383-392
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• 2014

In this study, we investigated the Fukiage sand dunes of southern Kyushu, Japan. We surveyed the status of recovery of coastal Japanese black pine forests damaged by pine wilt disease and their disaster prevention capability. We placed two transects: Transect 1, in an area that was severely damaged (80-90% damage rate) by pine wilt disease, and Transect 2, in an area that was mostly undamaged (<10% damage rate). Then, we installed survey lines, carried out vegetation surveys, and measured the depth and pH of humus soil. The survey lines were placed perpendicular to the coastline from the top of the fore-dune to the inland area, and divided into five 50 m sections. Before the point 100 m inland from the top of the fore-dune, the number of invasive hardwoods and of Japanese black pines were small because of the poor growth environment in both transects. Past the 100 m point, the species and number of Japanese black pines and broad-leaved trees increased further inland because the growth environment improved. In addition, the recovery metrics of tree height, diameter at breast height, age, and number in Transect 1 were much lower than those in Transect 2, and the basal area of broad-leaved trees and the depth of humus soil in Transect 1 were lower than in Transect 2, and the soil pH of humus soil in Transect 1 was higher than that of Transect 2. The shape ratio of the Japanese black pine forests indicated that they were insufficient for disaster prevention. Therefore, in order to fully promote the disaster prevention capability of coastal Japanese black pine forests, we should not only focus on prevention of pine wilt disease but also undertake continuous control efforts taking into consideration the sound growth environment such as appropriate density and soil management and removal of invasive broad-leaved trees.

• 한국폐기물자원순환학회지
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• 제35권8호
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• pp.777-784
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• 2018

Since climate change increases the risk of extreme rainfall events, concerns on flood management have also increased. In order to rapidly recover from flood damages and prevent secondary damages, fast collection and treatment of flood debris are necessary. Therefore, a quick and precise estimation of flood debris generation is a crucial procedure in disaster management. Despite the importance of debris estimation, methodologies have not been well established. Given the intrinsic heterogeneity of flood debris from local conditions, a regional-scale model can increase the accuracy of the estimation. The objectives of this study are 1) to identify significant damage variables to predict the flood debris generation, 2) to ascertain the difference in the coefficients, and 3) to evaluate the accuracy of the debris estimation model. The scope of this work is flood events in Ulsan city region during 2008-2016. According to the correlation test and multicollinearity test, the number of damaged buildings, area of damaged cropland, and length of damaged roads were derived as significant parameters. Key parameters seems to be strongly dependent on regional conditions and not only selected parameters but also coefficients in this study were different from those in previous studies. The debris estimation in this study has better accuracy than previous models in nationwide scale. It can be said that the development of a regional-scale flood debris estimation model will enhance the accuracy of the prediction.

• Spatial Information Research
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• 제18권2호
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• pp.35-44
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• 2010

본 연구에서는 최근 활용성이 증가하는 항공사진과 GIS기법을 이용하여 집중호우로 인한 피해정보를 산출하기 위한 방법에 대해 연구하였다. 연구 대상지역은 경상북도 봉화군 춘양면 일대로써 2008년 7월 말 국지성 집중호우로 인해 수해를 입은 지역이다. 연구 수행을 위해 우선 연구 대상지역의 데이터를 수집하여 데이터베이스를 구축하였다. 아울러 항공사진을 이용하여 추출 가능한 피해 대상 항목을 선정하고, 활용 가능한 GIS 레이어를 분석하였다. 피해정보의 추출은 판독 가능한 항목을 대상으로 피해 전 후의 항공사진을 비교하는 방법을 시도하였다. 해당 피해 항목에 대한 레이어가 존재할 경우에는 GIS의 중첩기능을 통하여 정확하고 용이한 정보의 추출이 가능하였다. GIS와 항공사진을 이용한 피해정보 추출은 소규모의 피해는 물론, 현장조사 시 접근이 어렵고 피해 범위가 넓은 지역에 대한 피해정보를 신속히 추출함으로써 신속한 복구계획의 수립이 가능하였다. 나아가 이러한 방법을 통하여 신속한 피해의 복구를 지원하여 이차적인 피해를 최소화하고, 향후 집중호우에 의한 피해조사 업무의 혁신에 기여가 클 것으로 사료된다.