• Journal of Preventive Medicine and Public Health
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• 제42권2호
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• pp.96-103
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• 2009

Objectives : We evaluated the health effects of exposure to BTEX(Benzene, Toluene, Ethylbenzene, m,p-Xylene, o-Xylene) in the Taean area after the Hebei Spirit oil spill. Methods : We used a questionnaire survey to look for health effects among 80 pregnant women 2 to 3 months following the Hebei Spirit oil spill. Their BTEX exposures were estimated using the CALPUFF method. We then used a multiple logistic regression analysis to evaluate the effects of BTEX exposure on the women s health effets. Results : Pregnant women who lived near the accident site reported more symptoms of eye irritation and headache than those who lived farther from the site. There was a trend of decreasing symptoms with an increase in distance from the spill site. Pregnant women exposed to higher ambient cumulative levels of Xylene were significantly more likely to report symptoms of the skin(OR 8.01 95% CI=1.74-36.76) in the first day after the accident and significantly more likely to report abdominal pain(OR 3.86 95% CI=1.02-14.59 for Ethylbenzene, OR 6.70 95% CI=1.82-24.62 for Xylene) during the 1st through 4th days following the accident. Conclusions : This study suggests that exposure to BTEX from an oil spill is correlated with an increased risk of health effects among pregnant women. This implies the need to take proper measures, including the development of a national policy for environmental health emergencies and a plan for studying the short- and long-term chronic health effects associated with such spills.

• Journal of Preventive Medicine and Public Health
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• 제42권2호
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• pp.89-95
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• 2009

Objectives : To assess the protective effects of wearing protective devices among the residents and volunteers who participated in the cleanup of the Hebei Spirit oil spill. Methods : A total of 288 residents and 724 volunteers were surveyed about symptoms, whether they were wearing protective devices and potential confounding variables. The questionnaires were administered from the second to the sixth week following the accident. Spot urine samples were collected and analyzed for metabolites of 4 volatile organic compounds(VOCs), 2 polycyclic aromatic hydrocarbons(PAHs), and 6 heavy metals. The association between the wearing of protective devices and various symptoms was assessed using a multiple logistic regression adjusted for confounding variables. A multiple generalized linear regression model adjusted for the covariates was used to test for a difference in least-square mean concentration of urinary biomarkers between residents who wore protective devices and those who did not. Results : Thirty nine to 98% of the residents and 62-98% of volunteers wore protective devices. Levels of fatigue and fever were higher among residents not wearing masks than among those who did wear masks(odds ratio 4.5; 95% confidence interval 1.23-19.86). Urinary mercury levels were found to be significantly higher among residents not wearing work clothes or boots(p<0.05). Conclusions : Because the survey was not performed during the initial high-exposure period, no significant difference was found in metabolite levels between people who wore protective devices and those who did not, except for mercury, whose biological half-life is more than 6 weeks.

• 해양환경안전학회지
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• 제16권1호
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• pp.81-91
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• 2010

국제해사기구(IMO)와 세계 해운계에서는 해양환경 보호 및 해상안전 확보를 위해 각종 국제협약을 시행하고 있으나 개발도상국에서는 이를 이행하지 못해 해양사고의 주요 요인이 되고 있다. IMO A그룹 이사국으로 부상한 우리나라는 해사안전기술 이전실적이 마마하여 해사안전기술 분야의 국제협력 사업 발굴 및 추진이 요구되고 있다. 국제협력 사업을 추진하기 위해서는 해사안전 분야의 중요도가 높고 개발도상국에서 필요도가 높은 기술을 선정하여 추진하여야 하는 등 선택과 집중이 요구된다. 따라서 해사안전기술의 우선순위 도출이 필요하며 이를 위해서는 해사안전기술의 평가요인을 도출하고 그 요인에 따라 대상 해사안전기술을 평가하여 우선순위를 결정하여야 한다. 이때 평가요인 간의 중요도를 나타내는 중요 가중치가 평가요인마다 상이하며, 요인간에 종속성이 발생하므로 이를 고려하여야 한다. 본 연구에서는 해사안전기술 평가요인으로 해사안전기술성숙도, 국제협력사업추진가능성, 해사안전기술중요도의 세 그룹으로 구분하고 각 그룹별로 세부 요인을 도출하였다. 또한 평가요인 간의 중요 가중치와 상관 가중치를 고려하기 위해 Fuzzy AHP 기법과 극한확률 이론을 사용한 평가모델을 개발하였다. 본 평가모델의 적용을 위해 해양안전정보 분야에 9개의 해사안전 기술을 선정하고 각 기술의 평가 점수를 계산하였다. 적용 결과 전자해도관련기술이 0.0139로 가장 우선순위가 높았으며 선박모니터링기술과 유류유출확산예측및대응기술이 각각 0.0133, 0.0132로 계산되었다.