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Exploitation of trans-Arctic maritime transportation

机译:剥削跨北极海运

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Due to global warming, the quantity of Arctic sea ice has been drastically reduced in recent decades, consequently navigating the Arctic is becoming increasingly commercially feasible during part of the year. It will bring huge transportation benefits due to reduction in navigational time, fossil energy consumption and related carbon emissions. In this article, the authors comprehensively assessed the exploitation of trans-Arctic maritime transportation based upon the mining of big data. Because Arctic sea ice prone regions are a significant challenge for charting Arctic routes, state-of-the art remote sensing datasets can provide an accurate and reliable approach to monitoring near real-time large-scale variability of Arctic sea ice conditions. Large-sized datasets of weather/climate modeling can provide a short-term forecast and long-term prediction on changes of Arctic sea ice and related weather/climate conditions, which are indispensable for the exploitation of trans-Arctic maritime transportation. Based on these big data, the authors established the near real-time dynamic optimal trans-Arctic route system to guarantee safe, secure, and efficient trans-Arctic navigation. Such dynamic maps will help the pilots of vessels to maintain safe distances from icebergs and large-size ice floes and to save time, fuel and operational costs and risks. (C) 2018 Published by Elsevier Ltd.
机译:由于全球变暖,近几十年来,北极海冰的数量已急剧减少,因此导航北极在一年中的一年内变得越来越可行。由于导航时间的减少,化石能源消耗和相关碳排放,它将带来巨大的运输利益。在本文中,作者全面评估了基于大数据采矿的跨北极海运的开发。由于北极海冰冰块是曲目北极路线的重大挑战,所以最先进的遥感数据集可以提供准确可靠的方法来监控北极海冰条件的近实时大规模可变性。天气/气候建模的大型数据集可以提供对北极海冰和相关天气/气候条件的变化的短期预测和长期预测,这对于跨北极海运输开采是不可或缺的。基于这些大数据,作者建立了近实时动态最佳的跨北极路线系统,以保证安全,安全,高效的跨北极导航。这种动态地图将有助于飞行员,以维持冰山和大尺寸冰絮凝的安全距离,并节省时间,燃料和运营成本和风险。 (c)2018年由elestvier有限公司发布

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