Simulation of the oil spill processes in the Sea of Japan with regional ocean circulation model
Simulation of the oil spill processes in the Sea of Japan with regional ocean circulation model
复制标题
利用区域海洋环流模型模拟日本海溢油过程
DOI：
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复制
发表时间：
1999
期刊：
影响因子：
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通讯作者：
Ken Shiohara
中科院分区：
文献类型：
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作者：
S. Varlamov;J. Yoon;N. Hirose;H. Kawamura;Ken Shiohara
摘要：1997年1月，俄罗斯油轮Nakhodka号在日本海发生事故后，采用粒子跟踪模型模拟了溢油的运动，该模型包括海流平流、随机扩散、浮力效应、石油蒸发参数化、生物降解和搁浅。平流溢油的电流被定义为表面风漂移叠加在三维海流得到的地球物理流体动力学实验室模块海洋模式（GFDL），这是被迫的气候月平均气象数据，或由欧洲中期天气预报中心（ECMWF）每日气象数据，同化海面地形卫星高度计检测。采用不同参数和不同情况进行的若干试验表明，所观察到的石油在地理上的广泛扩散不能仅用风漂流来解释，如果把模拟的气候海流包括在内，结果会更好。表面风漂移和每日洋流的组合显示出最好的协议之间的模式和观测，除了在一些沿海地区。每日气象对海洋环流模式的影响导致海流的更强的变化，从而更接近地模拟了石油的非线性大规模水平湍流扩散的某些特征。不同的参数化的模型油颗粒的尺寸分布的影响进行了讨论。
Abstract: A simulation of the movement of spilled oil after the incident of the Russian tanker Nakhodka in the Sea of Japan, in January 1997, was performed by a particle tracking model incorporating advection by currents, random diffusion, the buoyancy effect, the parameterization of oil evaporation, biodegradation, and beaching. The currents advecting spilled oil were defined by surface wind drift superposed on the three-dimensional ocean currents obtained by the Geophysical Fluid Dynamics Laboratory modular ocean model (GFDL MOM), which was forced by the climatological monthly mean meteorological data, or by the European Center for Medium Range Weather Forecasts (ECMWF) daily meteorological data, and assimilated sea surface topography detected by satellite altimeter. A number of experiments with different parameters and situations showed that the wide geographical spread of oil observed is not explained by wind drift alone, and that including the simulated climatological currents gives better results. The combination of surface wind drift and daily ocean currents shows the best agreement between the model and observations except in some coastal areas. The daily meteorological effect on the ocean circulation model results in a stronger variability of currents that closely simulates some features of the nonlinear large-scale horizontal turbulent diffusion of oil. The effect of different parameterizations for the size distribution of model oil particles is discussed.