Search and rescue at sea aided by hidden flow structures
Search and rescue at sea aided by hidden flow structures
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DOI：
10.1038/s41467-020-16281-x
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发表时间：
2019-09
影响因子：
16.6
通讯作者：
M. Serra;Pratik Sathe;I. Rypina;A. Kirincich;S. Ross;Pierre FJ Lermusiaux;Arthur Allen;T. Peacock;G. Haller
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文献类型：
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作者：
M. Serra;Pratik Sathe;I. Rypina;A. Kirincich;S. Ross;Pierre FJ Lermusiaux;Arthur Allen;T. Peacock;G. Haller
每年都有数百人死于船只和飞机事故。减少死亡人数的一个关键挑战是提高搜救（SAR）算法的效率。在这里，我们通过揭示海洋表面速度数据中隐藏的TRAPS（TRAPs）来解决这一挑战。从一个单一的速度场快照计算，陷阱作为短期吸引所有浮动对象。在三个不同的海洋领域的实验中，我们表明，陷阱计算从测量以及建模的速度吸引部署的漂流者和假人模仿人落在水中。陷阱，这仍然隐藏在以前的流量诊断，因此提供了关键的信息，如SAR和石油泄漏的遏制危害的反应，因此有可能挽救生命和限制环境灾害。
Every year, hundreds of people die at sea because of vessel and airplane accidents. A key challenge in reducing the number of these fatalities is to make Search and Rescue (SAR) algorithms more efficient. Here, we address this challenge by uncovering hidden TRansient Attracting Profiles (TRAPs) in ocean-surface velocity data. Computable from a single velocity-field snapshot, TRAPs act as short-term attractors for all floating objects. In three different ocean field experiments, we show that TRAPs computed from measured as well as modeled velocities attract deployed drifters and manikins emulating people fallen in the water. TRAPs, which remain hidden to prior flow diagnostics, thus provide critical information for hazard responses, such as SAR and oil spill containment, and hence have the potential to save lives and limit environmental disasters.