• Nuclear Engineering and Technology
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• v.29 no.1
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• pp.78-84
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• 1997

The specific purpose of this study is to develop the numerical guide for the cost-benefit analysis of ORE ($/person-Sv reduction) to meet the criterion of ALARA in the design stage of the KNGR. In deriving the guide, the risk factor which is defined by the risk to unit collective radiation exposure dose (deaths/person-Sv) and the monetary value of human life ($/death) are required. The risk factor has been estimated from various clinical data accumulated for a number of years and continuously modified. And the monetary value of human life is usually quantified using the human capital approach. In this study, the risk to radiation exposure perceived by a group of people is investigated through an extensive poll survey conducted among university students in order to modify the existing risk factor for radiation exposure. And in evaluating the monetary value of human life, the QOL factor is introduced in order to incorporate the degree of public welfare or quality of life. As a result of study, a value within the range of 151, 000~172, 000 dollars per person-Sv reduction is recommended as the appropriate interim numerical guide for cost-benefit analysis of ORE to meet the criterion of ALARA in the design stage of the KNGR. A poll survey was also conducted in order to see whether the public acceptance cost of nuclear power should be incorporated in developing the guide, and the result of study shooed that such a cost does not need to be considered.

• Environmental Engineering Research
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• v.24 no.1
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• pp.82-90
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• 2019

Meeting the regulations based on the short-term leaching tests may not necessarily assure the environmental and human health safety of reusing mine wastes. This study investigated heavy metal leachability of four metal mine waste samples (e.g., Z, Y, H, and M) and human health risk of reusing them as construction materials. The heavy metal leachability did not depend on the total heavy metal contents. For example, the Z sample contained greater amounts of As and Fe than Zn, but the leachates contained only Zn at a detectable level. This can be attributed to the crystalline structure and heavy metal fractions of the mine wastes. The leaching test results suggested that the four mine waste samples are potentially reusable. But the Z and M samples reused in industrial areas imposed carcinogenic risks. This was largely attributed to As that is exposed via dermal contact. The Y and H samples reused in residential areas imposed carcinogenic risk. The major exposure route was the ingestion of crops grown on the mine wastes and Cr was the major concern. The two-stage assessment involving leaching tests and risk assessment can be used to promote safe reuse of mine wastes.

• Environmental Engineering Research
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• v.21 no.4
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• pp.373-383
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• 2016

Cheonsu Bay, one of the most important in Korea as a coastal fishery is a semi-enclosed bay that is surrounded by large farmlands and industrial areas. This coastal environment has been affected by anthropogenic pollutants, such as polychlorinated biphenyls (PCBs) and organochlorine pesticides (OCPs). The objectives of this study were to investigate the distribution of PCBs and OCPs in sediment, Manila clams, and mussels from Cheonsu Bay; the accumulation pattern of these chemicals in these bivalves in relation to seasonal changes; and the ecological risk from sediments and the risk to the Korean population from the consumption of these bivalves. The levels of ${\Sigma}PCBs$, ${\Sigma}DDT$, and ${\Sigma}HCHs$ were 69.3-109, 40.3-49.3 and 6.25-17.8 ng/g lipid in Manila clams, and 70.6-159, 38.6-102 and 9.00-13.5 ng/g lipid in Mussels. Significant seasonal variations in PCBs and OCPs concentrations were observed in the two bivalves, suggesting that the accumulation of PCBs and OCPs in these species is related to their spawning times. The dietary intake of these two bivalves and the resulting lifetime cancer risk (LCR) and non-cancer risk were calculated for the human population. The consumption of these bivalves seemed to be safe in relation to human health with negligible LCR and non-cancer risk.

• Journal of Environmental Health Sciences
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• v.36 no.4
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• pp.294-305
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• 2010

This study estimated the health risk of heavy metals in particulate matter $(PM)_{2.5}$ in a Gwangyang industrial complex. The $PM_{2.5}$ containing heavy metal was collected from January to November, 2008 using a denuder air sampler and by IC (Ion Chromatograph). The risk assessment was performed in a four-step process; hazard identification, exposure assessment, dose-response assessment and risk characterization. In the hazard identification process, $Cr^{6+}$, Ni, As, and Pb were categorized as human carcinogens and probable human carcinogens, while Ti, Mn, Se, P, $Cr^{3+}$, Cu, and Zn were not classified as human carcinogens. It was found that the excess cancer risk by Central Tendency Exposure (CTE) of $Cr^{6+}$ and As in $PM_{2.5}$ was > $10^{-6}$, and the total excess cancer risk posed by carcinogen heavy metals in $PM_{2.5}$ was > $10^{-6}$. It was also determined that the total hazard index by CTE of non-carcinogen heavy metals in $PM_{2.5}$ was <1. Taken together, these results indicate a high cancer risk associated whit inhalation of heavy metal-containing$PM_{2.5}$ in industrial areas.

• Journal of the Korean Society of Marine Environment & Safety
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• v.22 no.3
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• pp.259-267
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• 2016

The study performs a risk analysis on container ship accidents using accident data collected over the six years from 2006 to 2011, presents the resulting risk level, and suggests three risk mitigation measures to reduce the overall risk, for the safer operation of container ships. More specifically, starting from the initial accident of collision, we developed 13 different accident scenarios using event tree analysis based on which the overall risk level was obtained and presented as a FN curve. Since diverse human factors are the main cause of most of the ship accidents, our study focuses on the effect of reducing human causes on the resulting risk level. For the research we considered the injuries for the calculation of fatality with the help of MAIS. The results show that collision was the main type of accident, accounting for 62 % of all accidents, and the measures employed were proven to be effective in the sense that the risk level was much lowered and the average number of fatalities was also reduced. With more data accumulated, more precise risk level will be calculated with which the practical risk mitigating measures will be also developed. For future study, economic loss and environmental damage as consequences need to be considered.

• Korean Journal of Human Ecology
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• v.19 no.6
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• pp.1003-1012
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• 2010

This study analyzed purchase behavior according to the risk perceptions when customers buy Cosmetics at Internet Shopping Malls. Participants were 232 women in their 20s and 30s with more than one buying experience at an internet fashion shopping mall. Data were analyzed using factor analysis, Cronbach's analysis, cluster analysis, one-way ANOVA and a Duncan test. Results were as follows. Firstly, five factors of risk perception were identified: These were the payment risk, service risk, quality risk, price risk and experience risk. Secondly, customers of internet shopping malls could be categorized into three groups: A low risk perception group, a payment risk perception group and a high risk perception group. Factor analysis showed significant differences between these groups( p<.001). Thirdly, purchase behavior based on the purchase standards, purchase items, information searching were investigated according to the different groups of risk perception of internet shopping malls and results again significant differences between groups (p<.05, p<.001).

• Journal of the Korean Society of Safety
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• v.18 no.3
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• pp.141-148
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• 2003

Since the introduction of The Product Liability Law, effective since July 2002, more and more companies and end-users have been giving their attention to the safety of products. A number of existing risk analysis techniques are being implemented to manufacturing sites. However, they have certain restrictions such as incurring different techniques that are to be implemented at each stage of the product development. This is due to their domain of the analysis differing from one to another. Moreover, the results of these analyses are not specific enough, and are subject to further revision. This study proceeds to look at various examinations undertaken on the existing risk analysis techniques. Through implementing them on certain products, investigations on the strengths and weaknesses were ascertained. This has allowed improvements on the existing techniques to be achieved as tell as the development of a new risk analysis technique, 'HuBRA(Human Behavior Risk Analysis)'. Finally the new technique was implemented on products to confirm its effectiveness.

• Korean Journal of Human Ecology
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• v.23 no.5
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• pp.873-890
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• 2014

The purpose of this study was to examine the relationship among consumer's perceived risk of apparel purchase in internet shopping mall, control, and impulse buying. The subjects were 319 female college students in Gyeongsang provinces. The obtained data were analyzed by reliability analysis, analysis of frequency, factor analysis, cluster analysis, one-way ANOVA, Duncan's multiple range test, correlation analysis, and t-test. The major results of this study were as follows: First, three factors of consumer's perceived risk of apparel purchase in internet shopping mall were identified: size risk, trust risk, and social/psychological risk. Second, the subjects were categorized into three different types of groups according to perceived risk: high perceived risk type, middle perceived risk type, and low perceived risk type. Third, three control(self-control, goal-control, and desire for control) and three impulse buying(impulsive buying for showing off, impulsive buying for excitement, and impulsive buying due to memory) were identified. Fourth, there was significant difference between strong control group and weak control group on three factors of impulse buying. Fifth, a significant positive correlation was found size risk and three factors of control and a significant negative correlation was found self-control and three factors of impulse buying.

• Journal of Navigation and Port Research
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• v.31 no.4
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• pp.295-307
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• 2007

The statistics of Korean Maritime Safety Tribunal and Japan Marine Accidents Inquiry Agency shows that the major muses of collision at sea are Improper lookout and Non-compliance with marine traffic rules. Those two muses are occupying more than 70% of collision, and it's clear that those muses are undoubtedly closely related to simple human error. In this paper we tried to find out the root muses of this kind of human error of OOWs(officers on watch) through risk identification method and studied how to tackle them via risk control theory. In conclusion, the measures studied in this paper could be applied to help OOWs avoid their own human error as well as be used in shipping company for their fleets' safety management.

• Journal of Environmental Impact Assessment
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• v.15 no.6
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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.