• 대한산업공학회지
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• 제40권2호
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• pp.151-162
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• 2014

This study proposes an optimization model to plan the patient distribution and medical resource allocation considering the diverse characteristics of disaster. For reflecting the particularity of disaster response, we configured a few scenarios such as availability of emergency surgery of non-major medical staff and the change in number of patients estimated reflecting the uncertainty, urgency and convergence of disaster. And we finally tested the effects of the scenarios' combination on the objective function defined as maximum number of survival patients. Our experimental results are expected to highlight the significance of the proposed model as well as the applicability of scenarios under disaster response.

• 대한안전경영과학회지
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• 제14권2호
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• pp.103-112
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• 2012

The construction industry in Korea after the Korean-war has evolved until these days. But the construction industry accident severity rate and frequency is over then the All industry rate. This study analyzed the 'Disaster Statistical Yearbook' of the Korea Occupational Safety and Health Agency, based on the factors that affect construction accidents that is selected and fined the some factors the construction Disaster Prevention Factors. This study will develop the methodology for analyzes that the national qualification is effected to the construction industrial machine disaster prevention status. It suggest two ways to the establishment of disaster trends. First way is the disaster quantitative analysis and second way is comparing the statistical data and the analysis of expert opinion.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2012년 춘계학술대회
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• pp.205-220
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• 2012

The construction industry in Korea after the Korean-war has evolved until these days. But the construction industry accident severity rate and frequency is over then the All industry rate. This study analyzed the 'Disaster Statistical Yearbook' of the Korea Occupational Safety and Health Agency, based on the factors that affect construction accidents that is selected and fined the some factors the construction Disaster Prevention Factors. This study will develop the methodology for analyzes that the national qualification is effected to the construction industrial machine disaster prevention status. It suggest two ways to the establishment of disaster trends. First way is the disaster quantitative analysis and second way is comparing the statistical data and the analysis of expert opinion.

• 한국농림기상학회지
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• 제16권2호
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• pp.114-124
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• 2014

본 연구는 2011년 100ha 이상의 대형산불 피해지인 울진과 영덕지역을 대상으로 하였으며 산불피해강도를 평가하기 위해 현장조사와 고해상도 위성영상자료 분석을 병행하였다. 위성영상자료 분석 시 산불피해지역의 피해강도를 가장 적절하게 평가할 수 있는 영상분류기법들을 비교 분석하여 최적의 피해강도 평가방법을 선정하였다. 대형산불 피해지역의 최적의 피해강도 평가기법으로는 현장조사에서 획득한 트레이닝 지역의 정보를 이용한 최대우도법을 적용하였을 때 가장 좋은 평가결과를 보였다. 산불피해강도의 정확도 검증 결과, 평균 전체정확도는 88.38%와 Kappa coefficient는 0.8147로 나타났다. 분류정확도는 최대우도법, NDVI, 최소거리법 순으로 나타났다. 산불피해강도 현장조사 결과와 위성영상자료에서 추출한 피해강도의 상관관계는 울진산불 피해지에서 r = -0.544, 영덕산불 피해지는 r = -0.616으로 나타났다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 가을 학술논문 발표대회
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• pp.133-134
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• 2022

Recently, the criteria for assessing industrial accidents have been replaced by the mortality rate. It was found that the number of deaths from excavation work was the highest among construction machinery. The risk assessment is being conducted, however the industrial accident mortality rate has not decreased. Accordingly, this study aims to provide the basic for the create of a risk assessment model specialized in construction work at excavator. It provides absolute value from the risk model which is capable of delivery the probability of a disaster. In addition, we provide a relative risk model that compares the risk through scores between detailed works. The relative risk model is combined by likelihood and severity; the likelihood indicates the frequency of accidents and the severity indicates seriousness of fatal accidents. A variable that reflects the conditions of the construction site was added to the risk assessment model based on past disaster cases. And using the concepts of probability and average, the risk assessment process was quantified and used as an objective indicator. Therefore, the model is expected to reduce disasters by raising the awareness of disasters.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2017년도 춘계 학술논문 발표대회
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• pp.187-188
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• 2017

Domestic industrial disasters are decreasing, but construction industrial disasters are increasing every year. So this study draw a conclusions from the major types of safety accidents based on disaster intensity analysis to solve the problems caused by increasing construction industry disasters. Also figure out a risk about original cause material to establish management directions which is significant manage things.

• 한국재난정보학회:학술대회논문집
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• 한국재난정보학회 2023년 정기학술대회 논문집
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• pp.257-258
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• 2023

본 연구는 2019년부터 2021년의 고속도로 교통사고 위치 좌표를 콘존 데이터와 결합한 후 파이캐럿을 활용하여 고속도로 교통사고 심각도에 영향을 끼치는 요인을 분석할 수 있는 최적 모델을 선정하고 채택된 Random Forest 기법으로 고속도로 교통사고 심각도에 영향을 끼치는 요인을 분석하고자 하였으며, 향후 전국 고속도로 교통사고에 영향을 주는 요인으로 확대하여 분석하고 사고 심각도 개선을 위한 대안 방안 마련이 가능할 것으로 판단된다.

• 지역사회간호학회지
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• 제32권4호
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• pp.555-565
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• 2021

Purpose: This study was conducted to develop the contents of disaster nursing education in community health nursing at universities. Methods: To validate contents, the Delphi method was used. We categorized two domains(indirect disaster management and direct disaster management) and developed 48 draft items. This study applied two round surveys and 23 experts participated in this study. The content validity was calculated using content validity ratio and coefficient of variation. Results: Indirect disaster management domain was composed of three categories including 12 items: 1) Understanding of the disaster, 2) disaster management system, and 3) response by disaster stage and recovery. Direct disaster management domain was composed of nine categories including 30 items: 1) Ethical considerations, 2) communication in disasters, 3) nursing activity by disaster stage, 4) emergency nursing in disasters, 5) patient severity classification in disasters, 6) disaster nursing for vulnerable groups, 7) disaster nursing for victims, 8) psychosocial nursing and health in disasters, and 9) cases of disaster nursing in communities. Conclusion: This Delphi study identified the contents of disaster nursing education curriculum, and confirmed the validity for disaster education program in community health nursing. Based on the results, it will be helpful for training the disaster nursing and improving the competency on disaster nursing of the nursing students.

• 한국수자원학회논문집
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• 제56권4호
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• pp.261-272
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• 2023

최근 급격한 도시화와 기후변화에 따라 재난에 의한 피해가 증가하고 있다. 국내 기상청에서는 표준 경보(주의보, 경보)를 전국적으로 통일된 표준 경보 기준(3시간 및 12시간 최대 누적강우량)에 따라 발령하여 재해에 따른 지역별, 재난 사상별 특성이 고려되지 않은 문제점이 있다. 따라서 본 연구에서는 서울특별시, 인천광역시, 경기도의 호우·태풍에 대한 재해 피해액 및 누적강우량을 활용하여 대상지역별 재해강도에 따른 단계별 기준을 설정하고, 강우에 따라 발생할 수 있는 재해의 강도를 분류하는 모형을 개발하고자 하였다. 즉, 본 연구에서는 호우·태풍에 의한 재해 피해액 누적 분포 함수의 분위별로 재해강도의 범주(관심, 주의, 경계, 심각 단계)를 분류하였고, 재해강도의 범주에 따른 누적강우량 기준을 대상 지자체별로 제시하였다. 그리고 지자체별 재해강도 분류모형 개발을 위해 4가지(의사결정나무, 서포트 벡터 머신, 랜덤 포레스트, XGBoost)의 머신러닝 모형을 활용하였는데 강우량, 누적강우량, 지속시간 최대 강우량(3시간, 12시간), 선행강우량을 독립변수로 이용하여 종속변수인 지자체별 재해강도를 분류하였다. 각 모형별 F1 점수를 이용한 정확도 평가 결과, 의사결정나무의 F1 점수가 0.56으로 가장 우수한 정확도를 보였다. 본 연구에서 제시한 머신러닝 기반 재해강도 분류모형을 활용하면 호우·태풍에 의한 재해에 대한 지자체별 위험 상태를 단계별로 파악할 수 있어, 재난 담당자들의 신속한 의사결정을 위한 기초 자료로 활용될 수 있을 것으로 판단된다.

• 대한원격탐사학회지
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• 제35권4호
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• pp.517-534
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• 2019

In abrupt fire disturbances, high quality images suitable for wildfire damage assessment can be difficult to acquire. Quantifying wildfire burn area and severity are essential measures for quick short-term disaster response and efficient long-term disaster restoration. Planetscope (PS) imagery offers 3 m spatial and daily temporal resolution, which can overcome the spatio-temporal resolution tradeoff of conventional satellites, albeit at the cost of spectral resolution. This study investigated the potential of augmenting PS imagery by integrating the spectral information from Sentinel-2 (S2) differenced Normalized Burn Ratio (dNBR) to PS differenced Normalized Difference Vegetation Index (dNDVI) using histogram matching,specifically for wildfire burn area and severity assessment of the Okgye wildfire which occurred on April 4th, 2019. Due to the difficulty in acquiring reference data, the results of the study were compared to the wildfire burn area reported by Ministry of the Interior and Safety. The burn area estimates from this study demonstrated that the histogram-matched (HM) PS dNDVI image produced more accurate burn area estimates and more descriptive burn severity intervals in contrast to conventional methods using S2. The HM PS dNDVI image returned an error of only 0.691% whereas the S2 dNDVI and dNBR images overestimated the wildfire burn area by 5.32% and 106%, respectively. These improvements using PS were largely due to the higher spatial resolution, allowing for the detection of sparsely distributed patches of land and narrow roads, which were indistinguishable using S2 dNBR. In addition, the integration of spectral information from S2 in the PS image resolved saturation effects in areas of low and high burn severity.