博士 / 國立成功大學 / 水利及海洋工程學系 / 107 / Coastal oil-spill accidents have a hugely detrimental impact on marine ecosystems and economic activities. Understanding of oil-spill location and movement might improve the effectiveness of coastal oil spill control and clean-up techniques, thus minimizing the effect of the spilled oil on coastal marine environments. This study applied two oil-spill models, namely the SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model) and the GNOME (General National Oceanic and Atmospheric Administration Operational Modeling Environment), to predict the fate and transport of spilled oil near the Shimen and Kaohsiung coasts of Taiwan. In addition, the applicability of these two models to the waters around Taiwan was evaluated.
In the first part of this study, we propose a two-step strategy for tracking oil-spill trajectories. First, an X-band radar is established to monitor oil spills. Accordingly, X-band radar was applied to identify the oil slicks on the sea surface. Second, we apply the SCHISM to determine the water surface elevations and currents at the event site and obtain the trajectories of the oil slicks using a Lagrangian particle-tracking method incorporated in the SCHISM. An oil-spill event caused by the container ship T. S. Taipei is used as a case study for testing the capability of the proposed oil-tracking strategy. The SCHISM simulation results for the fouled coastline obtained using the wind data from a nearby data buoy agree quite well with those obtained from field observations. However, the predicted fouled coastline based on the forecasted wind data is unsatisfactory. The reasons for the unsatisfactory prediction are discussed and revealed.
When the Gulf of Mexico (Deepwater Horizon) oil spill occurred in 2010, the GNOME was used to forecast the fate of spilled oil. Therefore, the second part of this study also applied the GNOME, with inputs of SCHISM-predicted sea levels and ocean currents, to simulate hypothetical oil-spill scenarios in Kaohsiung’s waters in all seasons. The simulated results demonstrated that the GNOME can predict the drifting trajectory and diffusion range of the spilled oils. These information can be used by the related authorities to allocate the response resources and to make mitigation plans for oil spills.
| Identifer | oai:union.ndltd.org:TW/107NCKU5083004 |
| Date | January 2019 |
| Creators | Chi-MinChiu, 邱啓敏 |
| Contributors | Ching-Jer Huang, 黃清哲 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | en_US |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 98 |
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