• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 봄 학술논문 발표대회
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• pp.206-207
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• 2022

Currently, safety accidents in construction area are managed regardless of the size. Therefore, the objective of this study is to conduct for developing the quantitative risk assessment according to large and small and medium-sized construction sites. The scope of this study is limited to the fall accidents which is the biggest accidents in the construction sites. the regression analysis was conducted based on the collected data. As a result, it was confirmed that there was a statistically significant difference between larce and small and medium-sized construction sites. This study is expected to be used as basic data for research on the development of a risk quantitative model for small and medium-sized construction sites in the future.

• Food Science and Biotechnology
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• 제18권2호
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• pp.279-293
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• 2009

Quantitative risk assessments are related to implementing hazard analysis and critical control points (HACCP) by its potential involvement in identifying critical control points (CCPs), validating critical limits at a CCP, enabling rational designs of new processes, and products to meet required level of safety, and evaluating processing operations for verification procedures. The quantitative risk assessment is becoming a standard research tool which provides useful predictions and analyses on microbial risks and, thus, a valuable aid in implementing a HACCP system. This paper provides a review of microbial modeling in quantitative risk assessments, which can be applied to HACCP systems.

• Journal of Korean Society for Atmospheric Environment
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• 제17권E2호
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• pp.43-51
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• 2001

A report by the national research council in the United States suggested that many lung cancer deaths each year be associated with breathing radon in indoor air. Most of the indoor radon comes directly from soil beneath the basement of foundations. Recently, radon released from groundwater is found to contribute to the total inhalation risk from indoor air. This study presents the quantitative assessment of human exposures to radon released from the groundwater into indoor air. At first, a three-compartment model is developed to describe the transfer and distribution of radon released from groundwater in a house through showering, washing clothes, and flushing toilets. Then, to estimate a daily human exposure through inhalation of such radon for an adult. a physiologically-based pharmacokinetic(PBPK) model is developed. The use of a PBPK model for the inhaled radon could provide useful information regarding the distribution of radon among the organs of the human body. Indoor exposure patterns as input to the PBPK model are a more realistic situation associated with indoor radon pollution generated from a three-compartment model describing volatilization of radon from domestic water into household air. Combining the two models for inhaled radon in indoor air can be used to estimate a quantitative human exposure through the inhalation of indoor radon for adults based on two sets of exposure scenarios. The results obtained from the present study would help increase the quantitative understanding of risk assessment issues associated with the indoor radon released from groundwater.

• 대한예방의학회:학술대회논문집
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• 대한예방의학회 1994년도 교수 연수회(환경)
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• pp.417-425
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• 1994

Although animal studies have been used most often for quantitative risk assessment, it is generally recognized that well-conducted epidemiologic studies would provide the best basis for estimating human risk. However, there are several features related to the design and analysis of epidemiologic studies that frequently limit their usefulness for quantitating risks. The lack of accurate information on exposure in epidemiologic studies is perhaps the most frequently cited limitation of these studies for risk assessment. However. other features of epidemiologic study design, such as statistical power, length of follow-up, confounding, and effect modification, may also limit the inferences that can be drawn from these studies. Furthermore, even when the aforementioned limitations are overcome, substantial uncertainty exists concerning the choice of an appropriate statistical (or biologic) model for extrapolation beyond the range of exposures observed in a particular study. This paper focuses on presenting a review and discussion of the methodologic issues involved in using epidemiologic studies for risk assessment. This review concentrates on the use of retrospective, cohort, mortality studies of occupational groups for assessing cancer risk because this is the most common application of epidemiologic data for quantitative risk assessment (QRA). Epidemiologic data should not be viewed as a panacea for the problems inherent in using animal bioassay data for QRA. Rather, information that can be derived from epidemiologic and toxicologic studies complement one another, and both data sources need to be used to provide the best characterization of human risk.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.742-743
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• 2015

Korean construction industry has developed with national economy growth for a couple of decades. However, because of slump of real estate, the domestic construction industry was intimidated. In this situation, many construction company has no choice but to go abroad to find construction projects. However, almost small or medium-sized construction companies are very hard to operate their business because they have small funding ability and weak labor power. Therefore, this study aims to propose an assessment tool through analyzing risk factors of overseas construction projects for small or medium-sized companies by examining preceding research and interviewing industry experts. Weights of the risk factors are determined through the surveys of the industry practitioners. All of the data is configured into the assessment tool and this converts the quantitative information which leads to the optimal of strategies choice. This paper provides a quantitative measurement of possible performance and detailed assessment of each itemized risk factors. This assessment tool is qualified for industry experts so that it can safely be applied to the future projects. Ultimately, many small or medium sized construction companies will benefit from the tool proposed in this study to examine the potential of the overseas market expansion.

• 한국터널지하공간학회 논문집
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• 제12권4호
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• pp.307-319
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• 2010

대구지하철 화재사고에서와 같이 철도터널 내 화재는 제연과 배연의 어려움으로 자칫 대형 사고로 이어질 가능성이 크다. 철도터널에서는 화재 시 안전성 확보를 위하여 정량적 위험도 평가를 통하여 방재 시설을 설치하도록 되어 있다. 이 연구에서는 터널내 화재시 정량적 위험도평가를 위해서 필요한 화재발생 표준시나리오, 화재 및 대피해석모델, 사망자 추정모델, 사회적 위험도 평가기준 등을 정립하여 철도터널에 대한 정량적 안전성 평가 기법을 제시하고자 하였다. 또한 본 연구에는 각각의 철도터널 화재사고에 대한 정량적 위험도를 평가할 수 있는 프로그램의 개발과 각종 모델을 정립하여 호남고속철도 방재시설 설계에 반영하였다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 봄 학술논문 발표대회
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• pp.363-364
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• 2023

The tunnel construction projects is demanded more efficient risk management measures and loss forecasts to prepare for risk losses from an increase in the trend of tunnel construction. This study aims to analyze the risk factors that caused the loss of material in actual tunnel construction and to develop a quantified predictive loss model, based on the past loss record of tunnel construction projects.

• Environmental Analysis Health and Toxicology
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• 제24권2호
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• pp.79-93
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• 2009

오염물질에 대한 생태위해성평가(ecological risk assessment)를 위해서는 노출평가(exposure assessment)와 함께 생물영향에 대한 평가(effect assessment)를 수행해야 한다. 노출평가의 경우는 지화학적 과정에 대한 이해를 바탕으로 환경농도를 예측하기 위한 화학평형모델이나 다매체환경거동모델 등 다양한 평가 및 예측모델을 활용해 왔다. 이와 달리 생물영향평가는 실험실 조건에서 제한된 독성자료를 대상으로 외부노출농도에 기반한 농도-반응관계를 통계적 방법을 통해서 추정하는 '경험적 모델(empirical model)'에 주로 의존해 왔다. 최근에 와서 생체 내 잔류량을 기반으로 농도-시간-반응관계를 기술하고 예측하는 독성동태학 및 독성역학 모델(toxicokinetic-toxicodynamic model)과 같은 독성작용에 기반한 모델(processbased model)들이 개발되어 활용되고 있다. 본 논문에서는 여러 종류의 독성동태학 및 독성역학 모델을 소개하고, 이를 통계적 추론에 기반한 전통적인 독성학 모델과 비교하였다. 서로 다른 종류의 독성동태학 및 독성역학 모델로부터 도출된 노출농도-시간 -반응관계식을 비교하고, 동일 독성기작을 보이는 오염물질 그룹 내에서 미측정 오염물질의 독성을 예측할 수 있게 해주는 구조-활성관계(Quantitative Structure-Activity Relationship, QSAR) 모델을 여러 독성동태 및 독성역학모델로부터 유도하였다. 마지막으로 독성동태학 및 독성역학 파라미터를 추정하기 위한 실험계획을 제안하였고, 앞으로 독성동태학 및 독성역학 모델을 생태계 위해성평가에 활용하기 위해서 해결해야 될 연구과제를 검토하였다.

• 한국축산식품학회지
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• 제32권1호
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• pp.118-124
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• 2012

본 연구는 햄 및 소시지류에서의 Clostridium perfringens에 대한 정량적 미생물 위해평가(Quantitative microbial risk assessment; QMRA)를 국제기준(Codex)의 원칙과 지침에 따라 수행하였으며, 오염수준에 대한 직접적인 분석결과와 현재의 국내 유통환경, 관련제품의 특성, 섭취량 및 소비행태 등을 반영한 노출평가용 "product-retail-consumption pathway" frame-work 모델을 구성하였고, 이를 바탕으로 엑셀(Excel)기반 노출평가용 시뮬레이션 모델을 개발하여 제시하였다. 개발된 모델을 시뮬레이션 프로그램인 @RISK를 활용하여 위해(risk) 수준을 산출하였으며, 그 결과 국내에서 1일 1인이 햄 및 소시지류의 섭취를 통한 Cl. perfringens에 의한 식중독발생 확률은 평균적으로 $3.97{\times}10^{-11}{\pm}1.80{\times}10^{-9}$으로 추정하였다. 또한 본 연구에서 수행한 QMRA결과를 바탕으로 현재수준에서의 한계점과 미래에 더욱 발전된 국내 QMRA 연구 및 활용을 위한 제언을 추가하였다

• Asian-Australasian Journal of Animal Sciences
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• 제32권2호
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• pp.274-281
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• 2019

Objective: The objective of this study was to estimate the risk of Campylobacter jejuni (C. jejuni) infection from various jerky products in Korea. Methods: For the exposure assessment, the prevalence and predictive models of C. jejuni in the jerky and the temperature and time of the distribution and storage were investigated. In addition, the consumption amounts and frequencies of the products were also investigated. The data for C. jejuni for the prevalence, distribution temperature, distribution time, consumption amount, and consumption frequency were fitted with the @RISK fitting program to obtain appropriate probabilistic distributions. Subsequently, the dose-response models for Campylobacter were researched in the literature. Eventually, the distributions, predictive model, and dose-response model were used to make a simulation model with @RISK to estimate the risk of C. jejuni foodborne illness from the intake of jerky. Results: Among 275 jerky samples, there were no C. jejuni positive samples, and thus, the initial contamination level was statistically predicted with the RiskUniform distribution [RiskUniform (-2, 0.48)]. To describe the changes in the C. jejuni cell counts during distribution and storage, the developed predictive models with the Weibull model (primary model) and polynomial model (secondary model) were utilized. The appropriate probabilistic distribution was the BetaGeneral distribution, and it showed that the average jerky consumption was 51.83 g/d with a frequency of 0.61%. The developed simulation model from this data series and the dose-response model (Beta Poisson model) showed that the risk of C. jejuni foodborne illness per day per person from jerky consumption was $1.56{\times}10^{-12}$. Conclusion: This result suggests that the risk of C. jejuni in jerky could be considered low in Korea.