• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.10a
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• pp.10-12
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• 2010

환경 민감 지도는 해양 유출유 사고 시 효율적이고 신속한 방제 업무를 위한 유용한 정보이다. 그러나 해상교통 및 안전 분야 종사자는 전통적으로 해도 및 전자해도 사용에 익숙하여 현 환경민감지도의 색상 및 심볼의 낮은 친숙도가 지적된 바 있다. 본 연구에서는 전자해도의 제작 표준에 해당하는 수로데이터 표준모델에 따라 환경민감지도 데이터를 제작하고 전자해도 표현방법에 따라 표시 하였다. 세부 연구 내용으로 환경민감정보에 대한 객체와 속성, 표현 심볼 및 색상에 대해 정의하고, 기존 환경민감정보를 내부 전자해도 포맷으로 변환하였다. 다음으로 내부 전자해도 데이터를 전자해도 표현방법에 따라 전자해도 레이어에 중첩시켜 그 결과를 확인 하였다.

• Journal of Ocean Engineering and Technology
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• v.23 no.1
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• pp.24-30
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• 2009

The purpose of this study was to establish an assessment method for the estimation of the pollution risk by oil spill accidents. Various oil spill patterns were calculated based on past accidents in the study area and these results were analyzed statistically. Then the risk probability, the oil arrival time, risk range, and so on were calculated. These calculations were performed for sub area sectors, fisheries and aquaculture farms, based on information about environmentally sensitive resources. Finally, the risk to each sub area sector was assessed by comparing the calculated results. These consequences indicated the objective and general risks of oil spill accidents and the result of this method will be made more appropriate by integrating real time risk predictions.

• 방재와보험
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• s.36
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• pp.31-33
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• 1988

1960년대까지는 저팽창단백포가 유류화재의 진압에 주로 사용되었으니 불소화합물 계면활성제로부터 유출된 합성 AFFF를 개발하면서 해수로도 이의 사용이 가능하고 지역 및 유출화재 예방에서 AFFF 특유의 초기진압효과 및 대형화재를 방지한다는 장점 때문에 널리 사용되고 있으며, 석유화학산업의 저장탱크지역 및 공정지역에서 AFFF와 FPF가 주로 사용되며 부두시설(Oilrig, Marine Tanker, 해상 / 해변터미널)에는 AFFF의 사용이 지배적이다. 현재 사용되고 있는 foam으로는 단백포(Protein: PF), 불화단백포(Fluoroprotein: FPF), 막형성 불화단백포(Film Forming Fluoroprotein Foam: FFFP), 고팽창폼(High Expansion Foam), 수성막 형성폼(Aqueous Film Foaming Foam: AFFF), 알콜폼(Alcohol Resistant Foam: ATD) 등이 있으니 본고에서는 AFFF 중심으로 소개한다.

• Journal of the Korean Geosynthetics Society
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• v.11 no.2
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• pp.21-30
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• 2012

This paper analyzes the map of soil contamination in years of 2009 by actual survey in Incheon. South-east national industrial complex and the US Army base in Bu-Pyung are turned out to be high polluted area because spilling of oil storage facilities, vehicle and glass industries. So, the soil contamination in Incheon Metropolitan area will be getting more attention. To solve this problem, the soil contamination has been predicted by using the visual Sufer and visual Modflow which are analysis program in geotechnique and water flow. The result of analysis is that F and TPH will be retarded after 5 years. However, the contamination diffusion will be increased if there is no proper management of soil contamination.

• Journal of Soil and Groundwater Environment
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• v.14 no.1
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• pp.61-67
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• 2009

A non-discharged system of sequentially physico-chemical water treatment was used to treat the contaminated water produced from washing system of soils according to full-scale soil washing. After washing the TPH contaminated soils, the remaining concentrations of COD$_{Mn}$, SS, and n-hexane were analyzed for each compartment to estimate the treatment efficiencies of non-discharged system. Three times of sampling events were conducted for 4 different compartments (sediment tank, flocculation tank, oil/water separator, and process-water tank). In addition, soil washing efficiencies and concentrations of each parameter (COD$_{Mn}$, SS, and n-hexane) for process-water tank were analyzed for about 8 months. As results, the average efficiency of soil washing was high to have 95.9%, regardless of the condition of TPH contamination level for soils, as well as the concentrations of COD$_{Mn}$, SS, and n-hexane in the process-water tank were below the regulation limits of the Water Environmental Conserveation Act. Accordingly, the full-scale washing treatment system in this study could make the washing water 100% recycled which lead the system to be environmentally-friendly and economical.

• Journal of Ocean Engineering and Technology
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• v.19 no.4 s.65
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• pp.35-41
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• 2005

There has been increasing offshore oil exploration, drilling, and production activities, as well as a huge amount of petroleum being transported by tankers and pipelines through the ocean and costal environment. Assessment must be made of the potential risk of damage resulting from the exploration, development and transportation activities. This is achieved through predictive impact evaluations of the fate of hypothetical or real oil spills. VVhen an oil spill occurs, planning and execution of cleanup measures also require the capability to forecast the short-term and long-term behavior of the spilled oil. A great amount of effort has been spent by government agencies, oil industries, and researchers over the past decade to develop more realistic models for oil spills. Numerous oil spill models have been developed and applied, most of which attempt to predict the oil spill fate and behavior. For an actual contingency planning, the oil fate and behavior model should be combined with an oil spill incident model, an environmental impact and risk model and a contingency planning model. The purpose of this review study is to give an overview of existing oil spill models that deal with the physical, chemical, biological, and socia-economical aspects of the incident, fate, and environmental impact of oil spills. After reviewing the existing models, future research needs are suggested. In the study, available oil spill models are separated into oil spill incident, oil spill fate and behavior, environmental impact and risk, and contingency planning models. The processes of the oil spill fate and behavior are reviewed in detail and the characteristics of existing oil spill fate and behavior models are examined and classified so that an ideal model may be identified. Finally, future research needs are discussed.

• Journal of Soil and Groundwater Environment
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• v.10 no.2
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• pp.28-34
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• 2005

The aim of this article is to assess the application characteristics of the site by remediating oil-contaminated area using DSB (Deep-site Biopile) system. In the contaminated area, the soil was composed of penetrable sand and the leaked oil was spread widely (total 7,201 cubic meters) through 2.5 meter deep underground water flow. DSB system was operated for 30 minutes intervals for 24 hours in a day (30 minutes opεration and 30 minutes stop). To check contamination level change in the contaminated area after DSB system was operated, samples were taken. The result from the site shows that BTEX/TPH contamination level was dropped 50% after 30-day operation of DSB system, and that contamination level was dropped below contamination level check standard after 165 days and the remediation was completed. Unlike traditional biological remediation methods DSB system could efficiently process soil and water which were contaminated by high levels of oil compounds.

• Journal of the Korea Convergence Society
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• v.11 no.3
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• pp.53-59
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• 2020

Initial response is important in marine oil spills, such as the Hebei Spirit oil spill, but it is very difficult to predict the movement of oil out of the ocean, where there are many variables. In order to solve this problem, the forecasting of oil spill has been carried out by expanding the particle prediction, which is an existing study that studies the movement of floats on the sea using the data of the float. In the ocean data format HDF5, the current and wind velocity data at a specific location were extracted using bilinear interpolation, and then the movement of numerous points was predicted by particles and the results were visualized using polygons and heat maps. In addition, we propose a spill oil particle matching algorithm to compensate for the lack of data and the difference between the spilled oil and movement. The spilled oil particle matching algorithm is an algorithm that tracks the movement of particles by granulating the appearance of surface oil spilled oil. The problem was segmented using principal component analysis and matched using genetic algorithm to the point where the variance of travel distance of effluent oil is minimized. As a result of verifying the effluent oil visualization data, it was confirmed that the particle matching algorithm using principal component analysis and genetic algorithm showed the best performance, and the mean data error was 3.2%.

• Journal of the Korean Society for Marine Environment & Energy
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• v.14 no.4
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• pp.280-286
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• 2011

In this research, the oil detection method and the characteristic of sensor using the selective reaction of silicone rubber in response to hydrocarbon oil will be described. As a sensing principle, the swelling property of silicone rubber in response to hydrocarbon fuel is used, also a strain gauge is used to transduce the volume change to an electrical signal. The sensor core is manufactured with a strain gauge embedded in silicone rubber by the curing process and experiments for characteristics of sensor core with various oils were carried out. It is shown that the sensor core can be used as an oil spill detection sensor. Also, for the application to the sea area, a buoy type sensor platform is integrated with a sensor core and a strain amplifier and it is tested in the simulated oil spill condition. In this study, it is proven that the integrated sensor can be used for the detection of various oils.

• Analytical Science and Technology
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• v.23 no.2
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• pp.187-195
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• 2010

To assess health risk for the intake among residents after the Hebei Spirit oil spill, 16 Polycyclic Aromatic Hydrocarbons (PAHs) in seafood samples from oil contaminated bay were determined by Gas Chromatography-Mass Spectrometry (GC-MSD) and samples were personally collected and purchased by residents. Samples were hydrolyzed with KOH and extracted with methylene chloride. The extracted solution were cleaned up using silica/florisil column and 16 PAHs were eluted by methylene chloride : n-hexane (1:9) mixture and determined by GC-MSD in Selected Ion Monitoring (SIM) mode. The mean recoveries for 16 PAHs ranged from 79% to 85%. The 16 PAHs levels in 126 samples ranged from 0.17 to $6.04\;{\mu}g$/kg and the TEQBaP (Toxic EQuivalents) levels in 126 samples were calculated using benzo(a)pyrene toxic equivalency factor for individual 16 PAHs and ranged from 0 to $0.91\;{\mu}gTEQ$/kg. The average Benzo(a)pyrene dietary exposure of residents was $5.5{\times}10^{-8}\;mg/kg$ bw/day and the average PAHs chronic dietary exposure was $1.3{\times}10^{-5}\;mg$ TEQ/kg bw/day. The margin of exposure (MOE) and the excess cancer risk and were $1.8{\times}10^6$ and $9.8{\times}10^{-8}$, respectively. Therefore, the assessment result was considered as low concern for health risk.