• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.435-437
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• 2003

This study presents work to utilize RADARSAT SAR image for forecast oil slick trajectory movement. The fractal dimension algorithm used to detect oil slick. The Doppler frequency shift and quasi-linear model was used to simulate a current pattern from RADARSAT image. The Fay’s algorithm of oil slick spreading was developed based on a Doppler frequency shift model. Thus, the study shows that fractal dimension algorithm discriminated the oil slick from the surrounding water features. The quasi-linear model shows that the current pattern can be simulated from single RADARSAT image. The oil slick trajectory model shows that after 48 hrs, the oil slick parcels deposited along the coastal waters.

• 한국CDE학회논문집
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• 제17권1호
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• pp.45-53
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• 2012

In this paper, oil spreading simulation model is proposed for analyzing the oil spreading phenomenon rapidly when the ocean is polluted by the oil from a stranded ship. The space occupied by the ocean is converted into the latticed cell, and the each cell contains the information, such as the quantity of the oil, the temperature of the ocean, and the direction of current and wind. Two states, such as "clean" and "polluted" are defined in the each cell, and the oil in the cell spreads to the neighbor cells by the spreading rules. There are three spreading rules. First, the oil in the certain cell only spreads to the neighbor cells that contain larger oil than the certain cell. Second, the oil evaporates in proportion to the temperature of the ocean at the every time step. Third, the oil spreading property is affected by the direction and the speed of the current and the wind. The oil spreading simulation model of the each cell is defined by using the combined discrete event and discrete time simulation model architecture with the information and the spreading rules in the cell. The oil spreading simulation is performed when the oil of 10,000 kL is polluted in the ocean environment of 300 m by 300 m with various current and wind.

• 한국CDE학회논문집
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• 제18권6호
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• pp.399-406
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• 2013

This paper describes a new simulation technique for advection-diffusion phenomena over the sea surface using the lattice Boltzmann method (LBM), capable of predicting oil dispersion from tankers. The LBM is used to solve the pollutant transport problem within the framework of the ocean environment. The sea space is represented by the lattices, where each lattice has the information on oil transportation. Since dispersed oils (i.e., oil droplets) at sea are transported by convection due to waves, buoyancy, and turbulent diffusion, the conservation of mass and many physical oil transport rules were used in the prediction model. Since the LBM is modeled using the uniform lattices and simple rules, it can be easily accelerated by the parallel mechanism, for example, GPU-accelerated method. The proposed model using the LBM is used to simulate a simple pollution event with the oil pollutants of 10,000 kL. The simulation results indicate that the LBM method accelerated with the GPU is 6 times faster than that without the GPU.

• 대한조선학회논문집
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• 제31권1호
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• pp.94-101
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• 1994

해상에 누출된 기름의 거동은 크게 초기확산, 수평이동 그리고 풍화과정으로 나눌 수 있다. 본 논문에서는 초기확산과 수평이동을 고려하는 단기예측모델을 개발하여 경기만에 적용하였다. 누출된 기름의 초기확산과정에서는 Fay의 3단계 분류법에 근거한 경험식으로 확산반경을 추정하고, 수평이동과정에서는 바람과 $M_2$조석을 고려하여 기름의 이동을 추정 하였다. 조석 수치모델을 위해서 깊이방향으로 적분된 운동방정식을 사용하였고, 수치 계산을 위해 교차 격자체계를 채택하였다. 시간전개를 하는 방법으로 양해법과 중간시간전개법을 이용하여 그 계산결과를 서로 비교하였다. 수치해의 정확도를 검증하기 위하여 간단한 직사각형 유체영역에 먼저 수치모델을 적용한 다음, 실제 계산영역인 경기만에 적용하였다. 또한, 사고 발생시간과 누출장소, 누출된 양과 누출 지속시간, 바람의 크기와 방향을 입력하면 기름의 이동방향과 오염지역 그리고 해안선의 오염정도를 가시화할 수 있는 기능을 단기 예측모델에 포함 시켰다.