• 한국화재소방학회논문지
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• 제26권1호
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• pp.38-42
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• 2012

울산, 여수 등 대단위 석유화학공장이 가동 중인 국가산업단지에서 화재 폭발 및 누출 등 중대산업사고가 발생되는 주요 원인과 안전관리 실태 등 문제점을 분석하여 이에 대한 제도적 측면 및 안전관리 측면에서 합리적인 대책을 제시해 보고자 한다.

• 한국경제지리학회지
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• 제5권2호
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• pp.137-155
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• 2002

본 연구는 전남 여천시에 입지한 여천산단을 사레로 공업단지의 입지가 지역변화에 미친 영향을 고찰하였다. 여천산단은 1970년대 초반 국가주도의 공업개발계획의 일환으로 건설되어 우리나라의 대표적인 석유화학공업단지로 성장하였다. 여천산단의 입지는 지역의 인구성장과 도시발전 그리고 지역의 산업구조와 고용구조 변화에 커다란 영향을 미쳤다. 여천산단의 입지로 인하여 여천지역의 경제구조는 농수산업 중심에서 제조업 중심으로 개편되었고, 지역의 제조업 구성에서 석유화학 관련제조업이 매우 높은 비중을 차지하였다. 또한 여천산단의 입지가 지역내 고용 및 산업구조에 미친 영향을 분석하기 위해 변이할당분석과 지역성장률 시차분석을 실시한 결과, 제조업과 건설업이 1987년 이후 지역의 고용성장에 커다란 파급효과를 제공한 것으로 나타났다. 그리고 여천산단의 입지는 여천시뿐만 아니라 인접한 여수시와 여천군의 경제구조변화에도 영향을 미친 것으로 밝혀졌다.

• 한국대기환경학회지
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• 제21권1호
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• pp.83-96
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• 2005

The purposes of this study were to characterize the local levels of VOCs (volatile organic compounds), to develop source profiles of VOCs, and to quantify the source contribution of VOCs using the CMB (chemical mass balance) model. The concentration of VOCs had been measured every 6-day duration in the SRO monitoring site in the Yeosu Petrochemical Industrial Complex from September 2000 to August 2002. The total of 35 target VOCs, which were included in the TO-14 designated from the U.S. EPA, was selected to be monitored in the study area. During a 24-h period, the ambient VOCs were sampled by using canisters placing about 10 ～ 15 m above the ground level. The collected canisters were then analyzed by a GC-MS in the laboratory. Aside from ambient sampling at the SRO site, the VOCs had been intensively and massively measured from 8 direct sources and 4 general sources in the study area. The results obtained in the study were as follows; first, the annual mean concentrations of the target VOCs were widely distributed regardless of monitoring sites in the Yeosu Petrochemical Industrial Complex. In particular, the concentrations of BTX (Benzene, Toluene, Xylene), vinyl chloride were higher than other target compounds. Second, based on these source sample data, source profiles for VOCs were developed to apply a receptor model, the CMB model. Third, the results of source apportionment study for the VOCs in the SRO Site were as follows; The source of petrochemical plant was apportioned by 31.3% in terms of VOCs mass. The site was also affected by 16.7% from wastewater treatment plant, 14.0% from iron mills, 8.4% from refineries, 4.4% from oil storage, 3.8% from automobiles, 2.3% from fertilizer, 2.3% from painting, 2.2% from waste incinerator, 0.6% from graphic art, and 0.4% from gasoline vapor sources.

• 한국산업보건학회지
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• 제17권4호
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• pp.310-321
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• 2007

Status of benzene exposure was evaluated upon petrochemical workers in the Yeosu Industrial Complex, based on questionnaire responses by workers, review of previous work environment assessment reports between 1996 and 2004, in addition to short-term exposure measurements for unit tasks in the field. Questionnaire results showed that workers in the field were suffering concern on and symptoms of respiratory diseases, cancers or other illnesses of unknown causes. In particular, workers were highly worried about the risk of exposure to chemical hazards including benzene, while conducting specific tasks (e.g. sampling, draining, gauging) among normal operations during which equipments are opened and contents are exposedin the air, as well as periodic turnaround (TA) task. However, the review of previous work environment assessment reports found out that short-term exposure assessment data for unit tasks accounted for less than 1% of total data, and most of them were on 8-hr average exposure level. It also turned out that benzene was not detected in 83% of total samples, suggesting routine but pointless sampling has been repeated. Short-term exposure level was assessed focusing on tasks with high level of complaints on the exposure risk, based on the questionnaire responses. As predicted, a maximum of 741 ppm benzene exposure was reached depending on types and conditions of operations involved. In conclusion, these findings suggest that the evaluation and management on the short-term high exposure tasks including turnaround are crucial in reducing benzene exposure and preventing haematopoietic cancer in workers in the petrochemical industry.

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2004년도 춘계학술대회 논문집
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• pp.61-62
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• 2004

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2004년도 춘계학술대회 논문집
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• pp.269-271
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• 2004

• 한국환경보건학회지
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• 제42권3호
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• pp.213-223
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• 2016

Objectives: This study was designed to assess the level of physical exposure to heavy metals among residents who live around a Chungcheongnam-do Province industrial complex and to provide baseline data on the effects and harms of heavy metals on the human body by comparing their exposure levels to those of people from control regions. Methods: We measured blood lead and cadmium levels and urine mercury and chromium levels and conducted a survey among 559 residents from the affected area and 347 residents of other areas. Results: Blood lead and cadmium levels and urine mercury levels were significantly higher in the case region than among those in the control region (p=0.013, p<0.001, p<0.001, respectively). In the thermoelectric power plant area, blood cadmium and urine mercury levels were significantly higher than in the control region (p<0.001, p<0.001, respectively). In the steel mill and petrochemical industry areas, blood cadmium level was significantly higher than that in the control region (p<0.001). Dividing groups by the reference level of blood cadmium ($2{\mu}g/L$), the odds ratios between the case and control regions were 2.56 (95% CI=1.83-3.58), 3.11 (95% CI=2.06-4.71) for the thermoelectric power plant area, 1.78 (95% CI=1.19-2.65) for the steel mill area and 4.07 (95% CI=2.40-6.89) for petrochemical industry area. Conclusion: This study showed that the levels of exposure to heavy metals among residents living near a Chungcheongnam-do Province industrial complex were significantly higher than those in the control region. This seems to be attributable to exposure to heavy metals emissions from the industrial complex. Further research and safety measures are required to protect residents' health.

• 환경영향평가
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• 제31권5호
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• pp.321-333
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• 2022

본 연구에서는 대산 석유화학 산업단지에서 배출되는 BTEX (benzene toluene, ethylbenzene, and xylene)의 농도 및 분포 특성을 조사하여 지역주민에 대한 잠재적 위해성을 파악하였다. 산업단지 인근 지역주민들은 다양한 매체(공기, 물, 토양), 특히 공기를 통해 화학물질에 노출될 수 있다. 이 연구는 결정론적 및 확률론적 위해성 평가 접근 방식을 모두 사용하여 흡입에 의한 인체 건강 위험을 평가하였다. 결정론적 위해성 평가 결과 모든 지점에 대해 비발암 위해도의 유해지수(HI) 1.0보다 훨씬 낮은 결과가 나타났다. 그러나 발암 위해성 평가 결과, 산업단지 내에 위치한 A 지점에서 벤젠에 대한 초과발암위해도는 2.28×10^-6로 기준치인 1.0×10^-6을 약간 상회하는 것으로 나타났다. 또한, 해당 지점에 대한 확률론적 위해성 평가 결과, 보수적 기준인 1.0×10^-6을 초과하는 Percentile은 45.3%로 나타났으며, 민감도 분석 결과 노출시간(ET)가 결과에 미치는 영향이 가장 크다고 판단되었다. 인체 위해성 평가 결과, 에틸벤젠, 톨루엔, 자일렌에 대해서는 인체에 위해한 영향이 적은 것으로 판단되었으나, 벤젠은 초과발암위해도 기준(1.0×10^-6)을 초과하는 것으로 나타났다. 산업단지에서 공기 중 VOCs에 대한 광범위한 모니터링을 통해 이러한 잠재적 위험을 평가하기 위한 추가적인 연구가 필요하다.

• 한국대기환경학회지
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• 제16권1호
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• pp.23-35
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• 2000

PM10, which is below 10 ${\mu}{\textrm}{m}$ in a diameter, has a high deposition in the lung or the bronchus by breathing and is generally composed of a lot of organic matters, viruses, algae, mold, and metallic elements that are very toxic to people. This study identified the characteristics of concentration of PM10 and air-borne jmetallic elements produced in the industrial city, Ulsan, and analyzed the correlatuion between sources and generation patterns of PM10 and metallic elements. We classified the five areas(green, residential, heavy traffic, mechanic, and petrochemcal and non-ferrous metal) which might have different characteristics of sources of PM10 and metallic elements. The average concentrations of PM10 in the five areas were as follows(petrochemical and non-ferrous metal(99.9$\mu\textrm{g}$/㎥)>mechanic(77.5 $\mu\textrm{g}$/㎥)>heavy traffic(47.1 $\mu\textrm{g}$/㎥)>residential(39.3 $\mu\textrm{g}$/㎥)>green(32.8 $\mu\textrm{g}$/㎥)). Those of petrochemical and non-ferrous metal areas were higher than other areas. In this study, the average concentration trend of metallic elements contained in PM10 are shown as follows: Fe>Zn>Pb>Cu>Mn>Cr>As>Cd>Sn>Hg, respectively. The metallic elements identified in PM10 showed the highest concentration in the petrochemical and non-ferrous areas. Metal combinations showed that a high correlation among concentrations of heavy metals were as follows: As, Cd and Fe in the residential area; Zn, Mn, Cu and Pb in the mechanical area; and Zn, Cu, As, Pb in the petrochemical and non-ferrous industrial area.

• Environmental Analysis Health and Toxicology
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• 제31권
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• pp.17.1-17.7
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• 2016

Objectives This study aimed to evaluate the relationship between residential district of people, such as power plant, steel-mill and petrochemical industries, and health-related quality of life (HRQoL). Methods Using a cross-sectional study design, we randomly recruited participants for our study from industrial areas (thermoelectric power plant, steel-mill, petrochemical industry) and rural areas. Logistic regression analysis was used to identify the relationships between Euro quality of life-5 dimension (EQ-5D) scores and living region, while controlling for sociodemographic characteristics. Results In adjusted model, quality of life decreased with increasing category of age and were lower for females than males. EQ-5D scores of people living in the vicinity of thermoelectric power plant were significant lower than those of people living the vicinity of comparison region (odds ratio, 1.59; 95% confidence interval, 1.00 to 2.53). Conclusions Living region of thermoelectric power plant, was strongly associated with scores on the EQ-5D. More research is needed to elucidate the mechanisms which makes the relationship with the living regions and HRQoL.