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Exploitation of trans-Arctic maritime transportation

机译:北极海上运输的开发

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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大大减少,因此,在一年的一部分时间内,航行北极在商业上变得越来越可行。由于减少了航行时间,减少了化石能源的消耗和相关的碳排放,它将带来巨大的运输利益。在本文中,作者在大数据挖掘的基础上全面评估了跨北极海上运输的开发。由于北极海冰易发地区是绘制北极航线的重大挑战,因此最新的遥感数据集可以提供一种准确可靠的方法来监控北极海冰状况的近实时大规模变化。大规模的天气/气候模型数据集可以提供北极海冰变化和相关天气/气候条件的短期预测和长期预测,这对于开发跨北极海上运输必不可少。基于这些大数据,作者建立了近实时的动态最优跨北极路线系统,以确保安全,安全和高效的跨北极导航。这种动态地图将帮助船舶驾驶员保持与冰山和大型浮冰的安全距离,并节省时间,燃料和运营成本以及风险。 (C)2018由Elsevier Ltd.发布

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