• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.1-8
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• 2017

Accurate forecasting enables to effectively prepare for future phenomenon. Especially, meteorological phenomenon is closely related with human life, and it can prevent from damage such as human life and property through forecasting of weather and disaster that can occur. To respond quickly and effectively to oil spill accidents, it is important to accurately predict the movement of oil spills and the weather in the surrounding waters. In this paper, we selected four representative machine learning techniques: support vector machine, Gaussian process, multilayer perceptron, and radial basis function network that have shown good performance and predictability in the previous studies related to oil spill detection and prediction in meteorology such as wind, rainfall and ozone. we suggest the applicability of oil spill prediction model based on machine learning.

• Proceedings of the Zoological Society Korea Conference
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• 1996.10a
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• pp.98.2-98
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• 1996

• Proceedings of KOSOMES biannual meeting
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• 2004.05b
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• pp.73-79
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• 2004

When large-scale oil spill happens, it will put the fatal impact on the ecosystem, ultimately harm human being seriously. Accordingly every coastal country invests to improve response technologies, of which oil removal by use of bioremediation agent is taken to be secondary or alternative cleanup method in a specific spilled area In this regards, the author attempts to find out the efficiency and effectiveness of bioremediation agent to oil slick by laboratory experiment as well as the possibility of bioremediation application to future spill accident and gets the some results. In this study, the effectiveness and efficiency of bioremediation agent to oil slick is examined by short-term laboratory test and it is found that bioremediation agent am degrade oils effectively. however, considering the environment c! spill site is quite different from that of lab, the author will carry on the on-scene test of bioremediation for longer period to look into the possibility of biorediation agent as one of oil spill response methods.

• Journal of Environmental Impact Assessment
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• v.25 no.6
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• pp.402-413
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• 2016

Marine oil spill accidents are occurring continuously due to the marine transportation of the oil. While building a preventive system for oil spill is uttermost necessary, we also need to have a systematic response system to handle the oil spills that inevitably occur. So far, studies have focused on the environmentally sensitive resources affected by oil spills. However, there is a need to conduct research to evaluate the damage to the socially and economically sensitive resources that make up the life of local residents. This study represents the process of building an analytical framework for the assessment of socioeconomic resources affected by marine oil spills. While it is important to provide a scheme for identification and indexation of socially and economically sensitive resources that is compatible with Korea's situations, using existing data for identifying socio-economically sensitive resources might also be meaningful. However, to allow accurate analysis for better evaluation, we need to select more applicable data among the various indicators. In this research, we have reviewed many existing case studies of sensitive resources, studies of the variables that have been used for indexing sensitive resources, and various factors considered in SIA (Social Impact Assessment). Based on the findings, we classify socio-economically sensitive resources into marine products acquisition, population, land usage, administrative area, and cultural heritage and tourist region.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.10a
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• pp.9-10
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• 2009

해상에서 선박사고에 의한 기름 유출 시, 기름의 위치, 변화과정, 이동 특성을 신속하게 파악하고 예측하는 것은 방제전략에 있어 필수적 요소이다. 따라서 사고 이후의 유출의 현황 정보의 수집은, '유출유 대응 매뉴얼'(IMO, 1988; ITOPF, 2008) 에서 가장 우선시 되고 있다. 일반적으로 유출유 탐지는 선박, 항공기 및 인공위성을 이용한 방법이 사용되고 있으며, 최근 인공위성기술의 발전에 따라, 국제유조선선주오염방지연맹(ITOPF)에서는 인공위성 원격탐사 기술 적용을 통한 유류 모니터링 적용을 권장하고 있다 (ITOPF, 2008). 허베이스피리트호 원유유출 사고는 2007년 12월 7일 아침 7시 6분경 서해안 만리포 북서쪽 10km 해상에서 크레인을 적재한 1만1800t급 바지선이 정박 중인 홍콩 선적 유조선 허베이 스피리트호(14만6000t급)와 부딪치면서 발생했다. 국내에서는 원격탐사를 이용한 기술지원체계가 갖춰져 있지 않기 때문에, 이번 사고의 경우에도 실질적인 지원이 이루어지지 못했다. 본 연구에서는 원격탐사에 의한 유류오염 사고 시 유출유 탐지 및 추출 그리고 정보의 가시화 좌표화를 통해서 실질적인 방제지원시스템을 개발하기 위한 연구 개발의 중간보고를 하기 위한 것이다.

• The Science & Technology
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• no.2 s.465
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• pp.61-63
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• 2008

• Korean Journal of Fisheries and Aquatic Sciences
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• v.29 no.2
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• pp.174-190
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• 1996

Damage assessment based on in situ surveys for oil spills in marine environment is limited by fundamental difficulties as well as tremendous expenses. Except for intertidal zones, the damage is not preserved well. Also such surveys are usually confined to adult organisms. To overcome these limitations a computer model, NRDAM/CME, was developed in the case of USA (Reed et al., 1989), where an acute toxicity data base was used to assess indirect damages through food webs and loss due to recruitment as well as adult losses. In the present study damage assessment of natural biological resources for hypothetical oil spills is attempted using a computer model for hypothetical spills of Bunker C and heavy crude oil. In the model, the logical structure of NRDAM/CME was adopted, and biomass and productivity database were compiled for the Korean waters. The results showed that the damage increased in a nonlinear fashion as the spill amount increased. The magnitude of the damage depended upon the chemical properties of oil viscosity and solubility in particular, which implies that usage of oil dispersant might increase the damage by dispersing oil. The results also indicate that long term damage due to recruitment loss could be greater than short term damage.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2004.04a
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• pp.227-230
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• 2004

본 연구에서는 유류오염토양 세척유출수내 미세토사의 효율적 제거를 위한 최적의 방안 및 적용 운전 조건을 도출하고자 하였다. 응집제를 주입하지 않은 blank 실험결과, 광운대학교 토양 세척유출수는 pH 7～12의 범위에서 65～75%의 효율을 나타내었고, 우이천 하천퇴적 토양 세척유출수는 pH 7～11의 범위에서 30% 안팎의, pH 12에서는 70% 정도의 낮은 효율을 나타내었다. pH 13에서는 두 가지 세척유출수에서 각각 91%, 85%의 효율을 나타내었다. 응집ㆍ침전 실험 결과, 광운대학교 토양 세척유출수는 FeC13, alum, PAC을 적용하였을 때 대체로 99% 이상의 효율을 보였으나, PAM을 적용하였을 때는 pH 13에서만 약 95%의 효율을 보였을 뿐 pH 7～12의 범위에서는 50～70%의 낮은 효율을 보였다. 우이천 하천퇴적 토양 세척유출수는 alum과 PAC을 적용하였을 때 대체로 90% 이상의 효율을 나타내었으나, FeC13와 PAM을 적용하였을 때는 pH 13일 경우에서만 98%이상의 효율을 보였을 뿐 다른 pH조건에서는 대체로 60%이하의 효율을 보였다. 두 가지 세척유출수에 대하여 높은 효율을 보인 alum과 PAC의 경제성을 비교해본 결과 같은 양의 세척유출수를 응집처리 할 경우 PAC에 비하여 alum을 적용하였을 때 적은 비용이 소요되었다. 따라서 alum이 효율성과 경제성에서 가장 우수함을 알 수 있었다.

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.2-2
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• 2017

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.7
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• pp.1116-1123
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• 2021

Oil spilled in seawater undergoes physical and chemical changes as well as biological degradation through various weathering processes, such as evaporation, diffusion, dispersion, emulsification, dissolution, oxidation, and sedimentation. Evaporation is one of the most immediate and prompt weathering processes, and it has the greatest influence on majority of pollutants. In this study, the evaporation characteristics of different oil samples were studied; the volatilization characteristics of gasoline, kerosene, and diesel were compared at average seawater (25 ℃) and near-equator (35 ℃) temperatures. The oil samples were pre-treated and then collected at regular intervals. Gas chromatography-mass spectrometry analysis was performed, and the changes in the amount of the hydrocarbons were calculated.