• 환경영향평가
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• 제15권6호
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• pp.373-383
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• 2006

The spatial mapping of risk is very useful data in planning for disaster preparedness. This research presents a methodology for making the landslide life risk map in the Boeun area which had considerable landslide damage following heavy rain in August, 1998. We have developed a three-stage procedure in spatial data analysis not only to estimate the probability of the occurrence of the natural hazardous events but also to evaluate the uncertainty of the estimators of that probability. The three-stage procedure consists of: (i)construction of a hazard prediction map of "future" hazardous events; (ii) validation of prediction results and estimation of the probability of occurrence for each predicted hazard level; and (iii) generation of risk maps with the introduction of human life factors representing assumed or established vulnerability levels by combining the prediction map in the first stage and the estimated probabilities in the second stage with human life data. The significance of the landslide susceptibility map was evaluated by computing a prediction rate curve. It is used that the Bayesian prediction model and the case study results (the landslide susceptibility map and prediction rate curve) can be prepared for prevention of future landslide life risk map. Data from the Bayesian model-based landslide susceptibility map and prediction ratio curves were used together with human rife data to draft future landslide life risk maps. Results reveal that individual pixels had low risks, but the total risk death toll was estimated at 3.14 people. In particular, the dangerous areas involving an estimated 1/100 people were shown to have the highest risk among all research-target areas. Three people were killed in this area when landslides occurred in 1998. Thus, this risk map can deliver factual damage situation prediction to policy decision-makers, and subsequently can be used as useful data in preventing disasters. In particular, drafting of maps on landslide risk in various steps will enable one to forecast the occurrence of disasters.

• 한국안전학회지
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• 제33권6호
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• pp.77-84
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• 2018

Report documents of industrial and occupational accidents have continuously been accumulated in private and public institutes. Amongst others, information on narrative-texts of accidents such as accident processes and risk factors contained in disaster report documents is gaining the useful value for accident analysis. Despite this increasingly potential value of analysis of text information, scientific and algorithmic text analytics for safety management has not been carried out yet. Thus, this study aims to develop data processing and visualization techniques that provide a systematic and structural view of text information contained in a disaster report document so that safety managers can effectively analyze accident risk factors. To this end, the risk factor map using text mining and self-organizing map is developed. Text mining is firstly used to extract risk keywords from disaster report documents and then, the Self-Organizing Map (SOM) algorithm is conducted to visualize the risk factor map based on the similarity of disaster report documents. As a result, it is expected that fruitful text information buried in a myriad of disaster report documents is analyzed, providing risk factors to safety managers.

• 한국컴퓨터정보학회논문지
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• 제14권10호
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• pp.207-215
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• 2009

최근 도시화 율이 증가됨에 따라 발생되는 도시의 범죄 예방을 위하여 컴퓨터정보기술과 GIS 기술을 이용한 범죄 공간의 분석에 대한 연구가 활발하게 이루어지고 있다. 본 논문에서는 정적인 환경에서 도시공간정보에 포함된 지역특성을 이용하여 단위 셀별 우범 위험도를 계량화하여 래스터 형태의 확률 지도를 구성하였다. 지형적 특성에 의한 상대적 위험도, 시설물에 의한 상대적 위험도, 수목이나 하천에 의한 위험도 등을 기본으로 하여 위험도 확률 지도를 구축한다. 이를 통합한 위험도 확률 지도를 구할 때는 각각의 단위 위험도에 기후나 계절적 요인에 의해 가중치를 적용한 후 평균하게 된다. 또한 일회성 분석이 아닌 범죄 발생 상대적 위험지수의 패턴을 판독키로 하여 전체 위험도의 확률 지도를 생성하여 이후 발생하는 범죄의 유형을 계량화하는 확률지도에 추가적으로 적용하어 정적인 정보가 아닌 시간의 흐름에 따라 범죄 위험도 확률지도가 달라질 수 있는 모델과 시뮬레이션 하는 방법론을 제안하였다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2015년도 춘계 학술논문 발표대회
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• pp.257-258
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• 2015

The amount of damages caused by natural hazards is consistently growing due to the unusual weather and extreme events. At the same time, property damage by natural hazards is rapidly increasing as well. Hence, we need systematic anti-disaster activities and consulting that can react to such a situation. To address these needs, we investigated and analyzed insured claim payouts from natural hazards by administrative area, and calculate the risk index utilizing GIS. According to the index, this map is identifying the areas of greatest natural hazard risk. The ranking of natural disaster vulnerability based on the risk index, and risk grades were divided into five based on the ranking. This map integrates the natural hazard losses to assist in comprehensive and effective loss prevention activities using analysis of regional loss claims from natural hazards. Moreover, this map can be as utilized as loss mitigation and prevention activities to verify the distribution of exposure and hazards.

• 한국지역지리학회지
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• 제20권1호
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• pp.128-140
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• 2014

이 논문은 화산재해지도가 갖는 특성을 규명하고, 국내외 화산재해지도의 사례조사를 통해 유형화하였다. 저자들은 해외의 화산재해지도의 구성요소를 도출하여 백두산을 대상으로 활용방안을 모색하는 것을 목적으로 하였다. 국외 화산재해지도에 대해 세 가지 유형(Hazard Map, Risk Map, Damage Map)의 재해지도 분석틀을 통해 검토하고, 화산재해지도의 구성요소를 도출하였다. 도출된 화산재해지도 구성요소는 1) 과거이력 누적 지도, 2) 확률론적 위험지도, 3) 시나리오 기반 지도이며, 이를 바탕으로 활용사례별(피난활용형, 방재정보형, 방재교육형) 화산재해지도의 구성요소를 제시하였다.

• 한국지형공간정보학회:학술대회논문집
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• 한국지형공간정보학회 2005년도 아시아 태평양 국제 GSIS 학술발표회
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• pp.61-72
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• 2005

The landslide risk assessment process consists of hazard risk assessment and vulnerability analysis. landslide hazard risk is location dependent. Therefore, maps and spatial technologies such as GIS are very important components of the risk assessment process. This paper discusses the advantages of using GIS technology in the risk assessment process and illustrates the benefits through case studies of live projects undertaken. The goal of this study is to generate a map of landslide vulnerability map by analysis of static natural factors with GIS. A simple and efficient algorithm is proposed to generate a landslide potentialities map from DEM and existing maps. The categories of controlling factors for landslides, aspect of slope, soil, vegetation are defined. The weight values for landslide potentialities are calculated from AHP method. Slope and slope-direction are extracted from DEM, and soil informations are extracted from digital soil map. Also, vegetation informations are extracted from digital vegetation map. Finally, as overlaying, landslide potentialities map is made out, and it is verified with landslide place.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2015년도 춘계 종합학술대회 논문집
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• pp.3-4
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• 2015

A self-organizing map (SOM) is a good tool to visualize applied data in the form of a feature map. With the help of such functions, a disaster risk diagnosis based on the residential house structure is tried in this study. According to some computer simulations with actual residential data, it is found that overall tendencies in the developed feature map are acceptable. Then, it is concluded that the proposed method is an effective means to estimate disaster risk appropriately.

• Journal of Forest and Environmental Science
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• 제40권1호
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• pp.24-34
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• 2024

Fire, being primarily a natural phenomenon, is impossible to control, although it is feasible to map the forest fire risk zone, minimizing the frequency of fires. The spread of a fire starting in any stand in a forest can be predicted, given the burning conditions. The natural cover of the land and the safety of the population may be threatened by the spread of forest fires; thus, the prevention of fire damage requires early discovery. Satellite data and geographic information system (GIS) can be used effectively to combine different forest-fire-causing factors for mapping the forest fire risk zone. This study mainly focuses on mapping forest fire risk in the Madikhola watershed. The primary causes of forest fires appear to be human negligence, uncontrolled fire in nearby forests and agricultural regions, and fire for pastoral purposes which were used to evaluate and assign risk values to the mapping process. The majority of fires, according to MODIS events, occurred from December to April, with March recording the highest occurrences. The Risk Zonation Map, which was prepared using LULC, Forest Type, Slope, Aspect, Elevation, Road Proximity, and Proximity to Water Bodies, showed that a High Fire Risk Zone comprised 29% of the Total Watershed Area, followed by a Moderate Risk Zone, covering 37% of the total area. The derived map products are helpful to local forest managers to minimize fire risks within the forests and take proper responses when fires break out. This study further recommends including the fuel factor and other fire-contributing factors to derive a higher resolution of the fire risk map.

• 한국가스학회지
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• 제24권3호
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• pp.27-32
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• 2020

많은 가스 시설들이 노후화 되고 있으므로 사고를 미연에 방지하기 위한 가스시설의 위험분석은 더욱 중요해 지고 있다. 특히, 위험을 도출하고 분석하는 것은 복잡한 가스시설을 위한 사고예방과 사고방지에 매우 중요하다. 그러나 여러 가지 상황을 고려해 위험을 도출하고 분석하는 연구가 아직 충분히 이루어지지 않았다. 본 논문은 복잡한 가스 시설에서 구역별로 위험을 도출하고 분석하는 것을 목적으로 한다. 각 구역은 서로 다른 관점의 방법의 위험분석 기법을 적용하여 위험도를 산출하며 구역별 하나의 위험등급으로 통합한다. 위험지도(RiskMAP) 기반 위험 분석 시스템은 시설의 상태, 작업 및 주변 현황에 따라 구역의 위험변화를 즉시 사용자에게 알려준다. 본 연구에서 제안된 기법은 소프트웨어적 알고리즘으로 구현되고 본 연구에서 IoT와 GPS와 연계되어 위험지도기반 위험 분석 시스템에 적용된다.

• 한국방재안전학회논문집
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• 제15권3호
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• pp.31-40
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• 2022

국내 재해위험지도는 주로 격자단위 및 재해 유형별 단일 재해지도로 제작 및 연구되고 있어 도로관리 중심으로 접근할 경우 그 활용도가 떨어진다. 특히 주로 시설의 유지관리를 담당하는 실무자의 업무활용을 위해서는 보다 해당시설 (지방도로)에 맞는 재해위험지도의 평가방법을 제시할 필요가 있다. 본 연구에서는 산림청에서 제공하고 있는 산사태위험지도 및 토석류위험지도를 활용하여 지방도를 중심으로 위험도를 평가할 수 있는 평가방법을 제시하였다. 또한 강원도에 위치한 지방도를 대상으로 위험도를 평가하고 검증하였다. 평가결과 총연장 234.59 km의 평가구간에서 1,513개의 평가구간에 대한 1~5등급의 위험도를 평가할 수 있었다.