首页> 外文会议>Arctic and marine oilspill program technical seminar >Assimilation of drifter data into an oil spll forecasting trajectory model and transmission of the information for decision making-case of the 1996 irving whale salvage in the gulf of St. Lawarence
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Assimilation of drifter data into an oil spll forecasting trajectory model and transmission of the information for decision making-case of the 1996 irving whale salvage in the gulf of St. Lawarence

机译:将流浪者数据同化为漏油预测轨迹模型,并将信息传递给决策案例,例如1996年圣劳伦斯湾的打捞鲸鱼活动

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As air surveillance for oil spills becomes standard procedure, our ability to identify a release before it threatens a coastline is increasing. In deep water, far from the coast, the principal compoent of the drift at sea is usually the intertial current driven by the recent wind history, rather than the actual wind and tides. Because these inertial currents cannot be forecasted at present, we propose here a technique that uses a combination of observation and modelling to forecast the trajectory of the observed spill. To acquire the necessary observations and to transmit the forecast for decision making purpose, an iformation transmission center was set up for the salvage of the Irving Whale barge by the local Regional Environmental Emergencies Team (REET). This transmission center proved to be so useful that its concept is being implemented for all emergencies.
机译:随着对漏油事件的空中监视已成为标准程序,我们在泄漏威胁海岸线之前识别泄漏的能力正在增强。在远离海岸的深水中,海上漂流的主要成分通常是由最近的风史驱动的气流,而不是实际的风和潮汐。由于目前无法预测这些惯性电流,因此我们在此提出一种将观测和建模相结合的技术来预测观测到的泄漏的轨迹的技术。为了获得必要的观察结果并传递预测以用于决策目的,地方区域紧急情况小组(REET)成立了一个信息传输中心,以救助欧文鲸驳船。事实证明,该传输中心非常有用,以至于在所有紧急情况下都可以采用其概念。

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