• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.555-558
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• 2008

For trying to frontal attack of new solution by fusion of technical tasks and conditions with it's solving methods of the essential tasks of marine resource development and environmental conservation in addition with elements of electronic high-technologies, the skimmer robot was proposed by using of oil spill disaster prevention and its disposal system with sequentially circular collection type of magnetic oil spill adsorbent powder and fabrics on the electronic barge robot for the scheme of sustainable development of environment-friendly technology. It was verified from the experiment of electronic barge robot demonstrator that the skimmer system of magnetic oil spill adsorbent powder and fabrics was very effective and useful technique to collect oil spill samples. At this point, the barge-based electronic remote control was very useful system operating easily on the marine fields to skim oil spill with dangerous toxic substances of crude oil and very harmful to human. Therefore, fusion technology proposed in this study combined with electronic and marine technology is the novel contributable technology for developing marine environmental conservation and environment-friendly disaster prevention, and also its management techniques.

• Journal of the Korean Society of Marine Environment & Safety
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• v.7 no.2
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• pp.23-37
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• 2001

Marine environment has been polluted and damaged by many sources such as industrial waste, natural seepage, oil spill and offshore production etc. Among them, oil spill from oil tankers is one of most harmful sources to marine lives as its input amount is huge at a limited area for short period. In Korea, the port of Yeosu is known to be very vulnerable to oil spill with large amount of petroleum transported across the harbour. In this regards, the author analyzed and reviewed marine environment and appropriate response to marine oil spill at this area. For these purposes, oceanographic and meteorologic features as well as regional characteristics of harbor facilities, shipping routes, marine traffic and fisheries were investigated, also traffic densities were analyzed in order to check marine accident probabilities making direct observations for 72 hours visual1y and by portable radar.

• Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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• 1998.09a
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• pp.40-44
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• 1998

Since oil spills discharged by offshore oil production platforms, ship accidents etc., cause many environmental problems, forecasts of drift and spreading of the spilled oil are requested as a basis for oil spill combat management. The numerical approach has been thought as the most effective methods of such forecast. In general, the oil spill model takes into account the trajectory and fate of oil, including drifting, spreading, evaporation, dispersion, emulsification, shoreline standing, and so on. (omitted)

• Proceedings of the KSRS Conference
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• v.2
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• pp.985-988
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• 2006

Oil spills cause huge material damage. Oil and oil products spills may occur at any stage of the offshore oil production and transportation cycle. Therefore taking into account the current trends of oil production, the task of creating a system for shelf and tank fleet monitoring becomes very crucial today. This document describes the technology being implemented to improve oil spill monitoring and surveillance, to ensure SAR data fast acquisition and processing and to develop geographic information systems in support of spill response decision making. The results of technology implementation are also presented below.

• Korean Journal of Remote Sensing
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• v.37 no.5_3
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• pp.1475-1490
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• 2021

Detecting oil spill area using statistical characteristics of SAR images has limitations in that classification algorithm is complicated and is greatly affected by outliers. To overcome these limitations, studies using neural networks to classify oil spills are recently investigated. However, the studies to evaluate whether the performance of model shows a consistent detection performance for various oil spill cases were insufficient. Therefore, in this study, two CNNs (Convolutional Neural Networks) with basic structures(Simple CNN and U-net) were used to discover whether there is a difference in detection performance according to the structure of CNN and distribution characteristics of oil spill. As a result, through the method proposed in this study, the Simple CNN with contracting path only detected oil spill with an F1 score of 86.24% and U-net, which has both contracting and expansive path showed an F1 score of 91.44%. Both models successfully detected oil spills, but detection performance of the U-net was higher than Simple CNN. Additionally, in order to compare the accuracy of models according to various oil spill cases, the cases were classified into four different categories according to the spatial distribution characteristics of the oil spill (presence of land near the oil spill area) and the clarity of border between oil and seawater. The Simple CNN had F1 score values of 85.71%, 87.43%, 86.50%, and 85.86% for each category, showing the maximum difference of 1.71%. In the case of U-net, the values for each category were 89.77%, 92.27%, 92.59%, and 92.66%, with the maximum difference of 2.90%. Such results indicate that neither model showed significant differences in detection performance by the characteristics of oil spill distribution. However, the difference in detection tendency was caused by the difference in the model structure and the oil spill distribution characteristics. In all four oil spill categories, the Simple CNN showed a tendency to overestimate the oil spill area and the U-net showed a tendency to underestimate it. These tendencies were emphasized when the border between oil and seawater was unclear.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.6
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• pp.1693-1703
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• 2015

This study is aimed to retain objectivity and generality against consumer perception about seafood of Hebei Spirit oil spill incident area, and analyze gap of consumer perception in according to confidence level of seafood using ordinal logit model. As results, This article have three implications. First, Consumer don't have high confidence level in comparison with previous research. Second, It is important to retain confidence of quality for purchasing seafood of oil spill incident area. Third, Consumer perception is improved positively against seafood of oil spill area. But This study has limits that don't take regional opinion and situation into account.

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.93-94
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• 2017

• Environmental Analysis Health and Toxicology
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• v.16 no.2
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• pp.57-66
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• 2001

Marine organisms such as fish (Sebastes schlegeli) and mussels were cultured in sea water tanks placed at Dukpo area which was contaminated by the two oil spill accidents. Results showed that PAHs concentrations in flesh tissue were higher than in fish fiver. This was explained by the cytochrome P45O 1A induction in fish limier after PAHs exposure. Other studies showed that higher PAHs levels were detected in mussels cultures in oil contaminated area than in control site. From these results, we concluded that Dukpo area is still polluted by oil including PAHs and it takes a long time to recover of oil contamination after the oil spill accidents.

• Journal of Ship and Ocean Technology
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• v.1 no.2
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• pp.41-49
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• 1997

We reviewed various oil-spill models and condensed the integrated information into a prediction model, “Green Sea Ranger”which is applicable to Korean coastal area. The developed software consists of pre- and post-modules for environment setup and display of results and main module for the prediction of oil\`s fate. In the pre-module target areas can be selected from the included geographic information system and various environmental and optional numerical data for the prediction can be input through easy GUI or imported from the database we established. For the fate of the spilt oil we included effects of spreading, advection, evaporation, and emulsification. Preliminary numerical experiment has proved that the developed oil-spill prediction system can be easily utilized in on-site oil recovery operations which usually require a quick and reasonable prediction.

• Journal of the Korean Society of Marine Environment & Safety
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• v.21 no.3
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• pp.309-314
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• 2015

A sunken ship often involves an oil spill. This paper was carried out to minimize environmental and cost damages stemming from oil spil of sunken shipl. Through the analysis of both the standards of the oil tank system and installation, we have identified potential oil spill sites and proposed a remedy of prevention. The result of study, the air pipes of the oil tank are a vulnerable point for oil spill. Also, the remote control devices of emergency shut-off valve have poor accessibility at abandon ship, making it difficult to shut off the emergency shut-off valve. Thus, we propose the addition of a remote quick closing valve in the air pipe and the building of a central control system.