• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2008년도 추계 학술발표회
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• pp.1038-1049
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• 2008

The purpose of this case study is corrosive fall in Upper-Slope. Upper-slope of this slope affect in fall of the cut-slope because of wide valley. Deposit which is piled up naturally is the sinkage occurs gradually in upper-slope.

• 대한안전경영과학회지
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• 제19권4호
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• pp.95-104
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• 2017

Among the industrial disasters caused by drop, ladder related drop disasters are occurred the mostly. The victims are occurred continuously. This study analyzed current situation of industrial disasters for recent 10 years(2005~2014) and compared analyzed statistics of death disasters of ladder by workplace scale, age, occupation, employment type, working content, scarred area, etc. in detail. This study suggested direction of safety standard modification for ladder that is an original cause material of many drops, direction of safety training strengthening of small-scaled workplace, and safety model based on disaster statistics and should contribute to reduction of disaster rate for ladder working.

• 한국지형학회지
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• 제25권1호
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• pp.97-113
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• 2018

Low-frequency geological natural disaster events such as Pohang earthquake have been occurred. As a results, there's a growing recognition on the importance of education and training for low frequency geological disasters in Korea. In spite of many years of scientific researches on volcanic disaster prevention and preparedness on Baekdusan volcano, the results do not provide the proper scenario for the training for volcanic ash event. Fall 3D volcanic ash diffusion model was run based on wind field data for the last five year, assuming Aso Mountain's explosion with volcanic explosion index 5 for seventy two hours. The management criteria values for proper actions in the previous studies were applied to make a scenario for thirteen groups of the disaster response teams such as train transportation, water supply, electrical facilities and human health. The models on the relationship between education and training for disaster prevention and response were suggested to fulfill the scientific and practical training at local level.

• 한국방재안전학회논문집
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• 제5권1호
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• pp.1-6
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• 2012

본 연구는 국내 건설산업에 종사하는 근로자에 대하여 재해율이 가장 높은 추락재해에 대한 직접비용을 분석하였다. 첫째, 건설업에서 추락재해로 인한 1인 평균 보험급여 지급액은 18,971천원 정도이다. 10년 동안 평균 추락재해자 수가 5,863명 일 때 추락재해로 인한 전체 손실 비용은 1,113억6천만원 정도이다. 둘째, 추락재해 비구조적 예방대책으로 비용중심의 경제성을 분석하였다, 예방대책에 대한 비용과 효과를 화폐가치로 표현한 자료가 없기 때문에 추락재해로 인한 재해손실 비용 금액을 새롭게 도입한 예방대책이 얼마나 감소시킬 수 있는가에 초점을 두면서 경제성 분석을 시도하였다. 셋째, 재해손실 규모를 파악하고 아울러 추락재해 원인에 대한 예방대책을 발굴하여 철저하게 시행한다면 재해손실 비용을 줄일 수 있는 가를 파악할 수 있다. 향후 비용중심 접근방법에서 본 재해손실 비용의 감소를 편익으로 추정할 수 있는 연구가 필요하다.

• 정보과학회 논문지
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• 제42권3호
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• pp.281-288
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• 2015

화산재해 피해 예측 시스템은 기상과 화산분화 시뮬레이션 결과를 기반으로 화산재해대응을 위한 판단을 도와주는 시스템이다. 이 시스템에서 Fall3D라는 프로그램은 기상정보를 바탕으로 화산분화 이후 화산재의 확산예측결과를 생성하고 기상정보를 생성하기 위해 WRF라는 기상수치예보모델을 사용한다. 두 시뮬레이션의 프로그램을 수정하지 않고, 전체 실행시간을 줄이기 위해서는 WRF의 기상예측모델의 시간별 부분결과가 발생할 때마다 Fall3D를 부분수행 할 수 있도록 하는 파이프라이닝 방식을 생각할 수 있다. 이를 위해서 Fall3D와 같은 후속계산은 선행계산의 부분결과가 생성될 때까지 일시정지하고, 계산에 필요한 정보가 발생하면 재개할 수 있어야한다. 비록 Fall3D가 이런 일시정지와 재개기능을 가지고 있지는 않지만 그 이전 계산을 이어서 진행할 수 있는 재시작기능을 활용하여 파이프라이닝 효과를 낼 수 있다. 본 논문에서는 이러한 실행 형태를 제어할 수 있는 워크플로우를 제안한다.

• 한국건설관리학회논문집
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• 제20권6호
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• pp.81-88
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• 2019

최근 정부는 재해 절감을 위한 다양한 노력덕분에 산업과 건설업 전반에 걸쳐 재해 사고는 감소추세를 보이고 있다. 그러나 건설업에서의 추락재해는 감소하지 않고 오히려 증가하고 있다. 특히, 달비계에 의한 추락재해는 매년 발생빈도는 낮지만 발생 시 작업자의 사망과 직결한다는 측면에서 재해강도가 매우 크다고 할 수 있다. 국내 건설업에서의 달비계 작업환경은 매우 열악하다. 더욱이 소규모 건설현장에서의 달비계 작업자들은 안전에 대한 감독과 관리를 받을 수 있는 주체가 없다. 따라서 본 연구는 본 연구를 진행하면서 달비계 추락재해 예방을 위해 가장 근본적으로 개선되어야 할 문제점인 수직구명줄 미설치 및 미부착이다. 또한 로프 풀림, 로프 파단, 고정점불량 등의 다양한 재해발생 원인에 대한 규명을 통해 건설현장 가설공사의 재해예방을 위한 해결방안이 되었길 희망한다.

• Ocean and Polar Research
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• 제31권2호
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• pp.219-229
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• 2009

In order to establish annual variations in the marine ecosystem of the East China Sea, suspended solids (SSs) and particulate organic carbon (POC) were extensively investigated in the northern part of the East China Sea from August 2003 to April 2008. Surface SS concentrations showed large spatial variations in spring and fall, but not in summer. Surface SS concentrations in spring were lower than those in summer and fall. In summer, SSs discharged from Changjiang were mostly deposited in the coastal areas and did not reach our study area which was located about 260 km from the river mouth. High SS concentrations were observed near the bottom, which resulted from resuspension of bottom sediments by the bottom currents. Surface POC concentrations did not exhibited large seasonal variations. Phytoplankton biomass was a main factor controlling surface POC concentrations. POC/chlorophyll ratios showed large seasonal variations, with maximum numbers in summer. POC/PON ratios were higher in summer than the Redefied ratio (6.6), while they were lower in spring and fall. In summer, higher POC/chlorophyll and POC/PON ratios were probably attributed to the high phytoplankton mortality caused by nutrient depletion in surface waters.

• 대한건축학회논문집:구조계
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• 제35권11호
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• pp.155-162
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• 2019

The construction industry is the highest safety accident causing industry as 28.55% portion of all industries' accidents in Korea. In particular, falling is the highest accidents type composed of 60.16% among the construction field accidents. Therefore, we analyzed the factors of major disaster affecting the fall accident and then derived feature importances by considering various variables. We used data collected from Korea Occupational Safety & Health Agency (KOSHA) for learning and predicting in the proposed model. We have an effort to predict the degree of occupational fall accidents by using the machine learning model, i.e., Adaboost, short for Adaptive Boosting. Adaboost is a machine learning meta-algorithm which can be used in conjunction with many other types of learning algorithms to improve performance. Decision trees were combined with AdaBoost in this model to predict and classify the degree of occupational fall accidents. HyOperpt was also used to optimize hyperparameters and to combine k-fold cross validation by hierarchy. We extracted and analyzed feature importances and affecting fall disaster by permutation technique. In this study, we verified the degree of fall accidents with predictive accuracy. The machine learning model was also confirmed to be applicable to the safety accident analysis in construction site. In the future, if the safety accident data is accumulated automatically in the network system using IoT(Internet of things) technology in real time in the construction site, it will be possible to analyze the factors and types of accidents according to the site conditions from the real time data.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2009년도 춘계 학술발표회
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• pp.1171-1182
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• 2009

The purpose of this case study is stability security in Talus and Coal Shale. The failure possibility of Talus area is high because of ground loss. The Coal Shale area is very week and large scale sliding possibility is high.

• 한국응급구조학회지
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• 제20권2호
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• pp.113-125
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• 2016

Purpose: The purpose of this study was to investigate factors influencing severity of occupational fall injury. Methods: A self-reported questionnaire was completed by 105 patients sustaining occupational fall injury between July 2010 and January 2013. The study instruments were developed by the National Traumatic Occupational Fatalities and National Electronic Injury Surveillance System. The questionnaire consisted of general characteristics of the subjects (30 items), workplace characteristics (12 items) and disaster characteristic (13 items). Results: Demographic factors, except age, did not affect the severity of injury. Injured patients aged 50-59 years tended to have more severe injuries than those aged 39 years. Type of transport vehicles, conditions, and the circumstances of the fall influenced injury severity. Patients transported by 119 ambulance suffered more severe fall injuries than those who were not. Electrical workers did not receive safety education wihin a year. Critical height in severe injuries was > 6 meters. Conclusion: Occupational fall injuries were influenced by patient age, types of transport vehicles, fall height, size of workplace, and safety education experience.