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首页> 外文期刊>Journal of earth system science >An assessment on oil spill trajectory prediction: Case study on oil spill off Ennore Port
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An assessment on oil spill trajectory prediction: Case study on oil spill off Ennore Port

机译:溢油轨迹预测的评估:以Ennore港口溢油为例

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摘要

A Liquefied Petroleum Gas (LPG) tanker and a chemical tanker collided two nautical miles off Ennore port on 28 January, 2017. Around 196.4 metric tons (MT) of Heavy Furnace Oil (HFO) was spilled and drifted towards the shore. Oil spill drift advisory and prediction was made by Indian National Centre for Ocean Information Services (INCOIS) using General National Oceanic and Atmospheric Administration (NOAA) Operational Modeling Environment (GNOME), an oil spill trajectory model. The trajectory model was forced with analysed and forecasted ocean currents from Global Ocean Data Assimilation System (GODAS) based on Modular Ocean Model 4p1 (GM4p1). It was found that spread of HFO obtained from oil spill trajectory model GNOME, has matched well with the observed spread from Sentinel-1A satellite dataset. However, the spread of the HFO was underestimated by the trajectory model, when forced with forecasted GM4p1 currents. Additional ground truth observation from Indian Coast Guard also corroborates this finding.
机译:2017年1月28日,一艘液化石油气(LPG)油船和一艘化学油船在Ennore港口相距两海里处相撞。大约196.4公吨(MT)的重炉油(HFO)溢出并向岸漂移。印度国家海洋信息服务中心(INCOIS)使用美国国家海洋和大气总署(NOAA)运行模型环境(GNOME)(一种油污轨迹模型)进行了油污漂移咨询和预测。该轨迹模型是基于基于模块化海洋模型4p1(GM4p1)的全球海洋数据同化系统(GODAS)的分析和预测洋流而产生的。发现从漏油轨迹模型GNOME获得的HFO的扩散与从Sentinel-1A卫星数据集中观察到的扩散非常匹配。但是,当使用预测的GM4p1电流强迫时,轨迹模型低估了HFO的传播。印度海岸警卫队的其他地面实况观察也证实了这一发现。

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