Main C E, Yool A, Holliday N P, Popova E E, Jones D O B, Ruhl H A
National Oceanography Centre, European Way, Southampton SO14 3ZH, United Kingdom; Ocean and Earth Science, University of Southampton, Waterfront Campus, European Way, Southampton, SO14 3ZH, United Kingdom; Royal Society for the Protection of Birds, Western Isles Office, Talla na Mara, Pairc Niseaboist, Harris, HS3 3AE, United Kingdom.
National Oceanography Centre, European Way, Southampton SO14 3ZH, United Kingdom.
Mar Pollut Bull. 2017 Jan 15;114(1):315-326. doi: 10.1016/j.marpolbul.2016.09.041. Epub 2016 Oct 13.
Little is known about the fate of subsurface hydrocarbon plumes from deep-sea oil well blowouts and their effects on processes and communities. As deepwater drilling expands in the Faroe-Shetland Channel (FSC), oil well blowouts are a possibility, and the unusual ocean circulation of this region presents challenges to understanding possible subsurface oil pathways in the event of a spill. Here, an ocean general circulation model was used with a particle tracking algorithm to assess temporal variability of the oil-plume distribution from a deep-sea oil well blowout in the FSC. The drift of particles was first tracked for one year following release. Then, ambient model temperatures were used to simulate temperature-mediated biodegradation, truncating the trajectories of particles accordingly. Release depth of the modeled subsurface plumes affected both their direction of transport and distance travelled from their release location, and there was considerable interannual variability in transport.
关于深海油井井喷产生的次表层碳氢化合物羽流的归宿及其对各种过程和群落的影响，我们了解得很少。随着法罗-设得兰海峡（FSC）深水钻探活动的扩大，油井井喷有可能发生，而且该地区异常的海洋环流给理解溢油事件中可能的次表层石油路径带来了挑战。在此，利用一个海洋环流通用模型和一种粒子追踪算法，来评估FSC中深海油井井喷产生的油羽流分布的时间变化。粒子在释放后首先被追踪了一年。然后，利用模型中的环境温度来模拟温度介导的生物降解，并相应地截断粒子的轨迹。模拟的次表层羽流的释放深度影响了它们的运输方向和从释放位置移动的距离，并且运输过程中存在相当大的年际变化。
