• Korean Journal of Remote Sensing
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• v.39 no.3
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• pp.311-323
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• 2023

Oil spill accidents can cause various environmental issues, so it is important to quickly assess the extent and changes in the area and location of the spilled oil. In the case of oil spill detection using satellite imagery, it is possible to detect a wide range of oil spill areas by utilizing the information collected from various sensors equipped on the satellite. Previous studies have analyzed the reflectance of oil at specific wavelengths and have developed an oil spill index using bands within the specific wavelength ranges. When analyzing multiple images before and after an oil spill for monitoring purposes, a significant amount of time and computing resources are consumed due to the large volume of data. By utilizing Google Earth Engine, which allows for the analysis of large volumes of satellite imagery through a web browser, it is possible to efficiently detect oil spills. In this study, we evaluated the applicability of four types of oil spill indices in the area of various land cover using Sentinel-2 MultiSpectral Instrument data and the cloud-based Google Earth Engine platform. We assessed the separability of oil spill areas by comparing the index values for different land covers. The results of this study demonstrated the efficient utilization of Google Earth Engine in oil spill detection research and indicated that the use of oil spill index B ((B3+B4)/B2) and oil spill index C (R: B3/B2, G: (B3+B4)/B2, B: (B6+B7)/B5) can contribute to effective oil spill monitoring in other regions with complex land covers.

• 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.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.6
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• pp.690-698
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• 2017

Vietnam is a marine nation with more than 3,444 km of shorelines, thousands of islands, and 2,360 rivers and canals of over 42,000 km long. As the frequency and the volume of oil transportation by ships increase, the possibility of oil spill incidents becomes higher than ever. Fuel oil and cargo oil spills at sea have widespread impact and long-term consequences on marine ecosystems, coastal resources and human health as well as socio-economy. This study is to show not only the present state of marine oil spills in Vietnam such as the number and the volume of oil spills for two decades, and an overall about Vietnamese national response system like national framework for Oil Spill Response (OSR), etc. but also to present the recommendations for enhancing national capability in response to oil spill incidents in Vietnam, especially, with a comparison of national OSR systems between Vietnam and South Korea. As the result, the number and the volume of marine oil spills in Vietnam showed an upward trend as opposed to a downward trend in South Korea. This means that Vietnam has the possibility of oil spills in coastal waters. Therefore, three main recommendations for the enhancement of national OSR capability in Vietnam are proposed as follows: (1) the development of alternative plan for reenforcing national OSR system involving legal system for preparedness and response to oil spill pollution such as the acceptance and implementation of OPRC Convention as well as the establishment of national fund compensating for the damage and loss caused by oil pollution; (2) the enhancement of a consistent reporting, alerting and monitoring system; and (3) the development of training and exercise programs with standard contents of educational courses.

• Korean Journal of Remote Sensing
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• v.25 no.5
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• pp.435-444
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• 2009

In the case of oil spill accident at sea, information concerning the movement of spilled oil is important in making response strategies. Aircrafts and the satellites have been utilized for monitoring of spilled oil. In these days, numerical models are using to predict the movement of the spilled oil. In the future a coupling method of modeling and remote sensing data should be needed to predict more correctly the spilled oil. The purpose of this paper is to present an application of satellite image data to an oil spill prediction model as an initial condition. Environmental Fluid Dynamics Computer Code (EFDC) was used to predict the movement of the oil spilled from Hebei Spirit incident occurred in Taean coastal area on December 7,2007. In order to make the model initial condition and to compare the model results, two satellite images, KOMPSAT-2 MSC and ENVISAT ASAR obtained on December 8 and 11, were used during the period of the oil spill incident. The model results showed an improvement for the prediction of the spilled oil by using the initial condition deduced from satellite image data than the initial condition specified at the oil spill incident site in the respects of the distributed spilled area.

• Proceedings of the Korea Society for Simulation Conference
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• 1997.04a
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• pp.115-119
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• 1997

본 논문은 해상에서 발생될 수 있는 기름 유출 사고시 효과적 방제의 지원을 위한 오염원 확산 예측 시스템의 개발을 주목적으로 한다. 이를 위하여, 격자형 공간 DEVS 모델 링 방법론을 이용한 SOS(Save Our Sea) 시스템을 개발하였다. 기존의 해양오염 예측 시스 템들이 대부분 해석적 기법에 의존하는데 비해 제안된 시스템은 격자형 공간 모델링을 이용 한 시뮬레이션 기법으로서 전체 해양을 Cell 단위의 공간으로 분할하고, Cellrks의 결합관계 는 Name-Directed Coupling을 적용함으로서 시스템 설계상의 효율성과 유연성을 제공한 다. 제안된 시스템은 기름유출사고의 발생시 오염원 확산에 영향을 주는 각종 벡터 변수값 들에 따른 해양 오염 물질의 확산 분포를 예측함과 동시에 확산에 영향을 주는 많은 벡터 값들이 모니터링 정보를 함께 제공함으로서 해양 오염 방제 및 환경 보존에 효과적으로 적 용될 수 있을 것으로 기대된다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.06a
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• pp.79-80
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• 2014

Most of marine pollution have been occurred by oil spill accidents resulted from ship accidents in South Korea. This year there were two large oil spill accidents: the Yeosu Oil Spill Accident (2014.01.31.(Fri.) 09:35 LT) and the Captain Vangelis L. Oil Spill Accident (2014.02.15.(Sat.) 14:00 LT). In general, Synthetic Aperture Radar (SAR) is used in monitoring and detection of oil dumping and spilled oils by accident at sea. Therefore it is expected that KOMPSAT-5, launched successfully last year, will take part in that mission during a normal operation mode. After the two accidents, high spatial resolution optical satellite data including KOMPSAT-3 were acquired February 2 and 14, 2014. In this presentation, we analyzed optical properties of spilled oils from optical satellite imagery to estimate the spilled area and the volume at each region. Finally, a satellite application planning for ocean surveillance in South Korea will be presented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.2
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• pp.472-477
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• 2017

Oil spills cause a lot of damage to the environment. Oil destroys the water environment and ecosystem in a very short period of time once they are contaminated by it, it takes a lot of time to recover from the contamination and the cleaning process is very difficult. Therefore, oil detectors are greatly needed as they can monitor any oil spills over the sea, rivers, and lakes. There are two kinds of technology available for detecting oil, viz. the contact and non-contact types. The former is based on the use of the conductivity, capacitance and microwaves, while the latter employs infrared, UV, laser, optic and radar technologies. As there are also various hurdles in the measuring of oil on water, such as the presence of waves, refraction of light, temperature and saltiness, it is imperative to select the right oil detector which is appropriate for the specific environment. In this study, a contact type oil detector is developed, which can be used in oil related industries, such as refineries, petrochemical companies, and power generation stations. The detector is made up of the sensor module, which floats on the water, and the controller which processes the signal coming from the sensor module and displays it. It is designed in such a way that the existence of oil is detected through the sensor and the change in the permittivity is observed to determine the volume and type of spilled oil.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.1
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• pp.51-57
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• 2013

Leak detection, the system is controlled by humanity's precious water resources, prepare for natural disasters and prevent damage to buildings and various industrial facilities. Especially because it causes serious environmental pollution, chemicals or oil spills, leak detection of various liquid(oil, water), the point at which the liquid leak is detected early on, and minimize environmental pollution, prevent damage of the equipment due to the leak, and the country's precious water resources to be used safely. In this paper, we solve these problems by using specialized film sensor, any person who is not a skilled technician, equipment or walls anywhere can be easily installed. also reduce unnecessary circuit, If film sensor is connected to operate, have a big competitive price, the detection of liquid and the surrounding environment according to, the sensor film that can set the sensitivity control, and monitoring system was implemented.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.10
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• pp.2113-2120
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• 2012

The study of automatic monitoring and analysis of marine environment in Korea is not enough. Recently, the marine monitoring technology is actively being studied since the sea is a rich repository of natural resources that is taken notice in the world. In particular, the marine environment data should be collected continuously in order to understand and analyze the marine environment, however the marine environment monitoring is limited in many area yet. The prediction of marine disaster by automatic collecting marine environment data and analyzing the collected data can contribute to minimized the damages with respect to marine pollution of oil spill and fisheries damage by red tide blooms and marine environment upsets. In this paper, we proposed the marine environment monitoring and analysis system model. The proposed system automatically collects the marine environment information for monitoring the marine environment intelligently. Also it predicts the marine disaster by analyzing the collected ocean data.

• Journal of the Korean Society of Marine Environment & Safety
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• v.17 no.3
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• pp.257-264
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• 2011

On April 20, 2010, semi-submersible offshore drilling unit Deepwater Horizon was exploded and sank, and 4.9 million barrels(about 778 thousand tons) of crude oil was spilled into the Gulf of Mexico. As more than one year has been passed since the incident, a lot of investigation reports and lessons learned have been made public and also a lot more will be released soon. This paper studies the final report of the National Commission on "the BP Deepwater Horizon Oil Spill and Offshore Drilling", which was organized by the executive directive of U.S. President Barack Obama, and the interim report of Joint Investigation team of U.S. Coast Guard and BOEMRE of "Report of Investigation into the Circumstances Surrounding the Explosion, Fire, Sinking and Loss of Eleven Members Aboard the Mobile Offshore Drilling Unit Deepwater Horizon". The review is focused on the response to the oil spill. And the paper suggests how to improve national marine pollution response policy. In the paper, the Korean governments is suggested to reinforce the capability for instructing and supervising the responsible party's source control measures, to review how to introduce in-situ burning and vessel of opportunity program into our country, and to continue monitoring on the progress of developments of R&D projects related to oil spill response in the U.S..