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在西北大西洋的亚特兰蒂斯二号海山上观测到非常强大的近底流
Oleg A Godin1, Tsu Wei Tan2, John E Joseph3
1Physics Department, Naval Postgraduate School, Monterey, CA, 93943, USA. oagodin@nps.edu.
Scientific reports
|May 5, 2024
概括
直接测量揭示了新英格兰海底山附近意外强烈的深海流,超过1.10米/秒. 机器学习从流动噪声中推断出当前的速度,有助于海底研究.
科学领域:
- 海洋学 海洋学 海洋学
- 地质物理学 地质物理学
- 声学 声学 在声学方面
背景情况:
- 了解深海近底电流对于海底地形学和盆地生态学至关重要.
- 由于后勤挑战,对这些电流的直接测量是有限的.
研究的目的:
- 报告墨西哥湾流与新英格兰海底山脉相互作用区域的近海底海流速度和极端值.
- 探索远程传感应用中流量噪声和电流速度之间的相关性.
主要方法:
- 在2573-4443米深度部署流速和压力波动传感器.
- 分析超声波噪声强度和特征频率.
- 机器学习算法的应用,从声学数据中推断电流速度.
主要成果:
- 观察到反复出现意想不到的强烈的近底电流,在4443米处超过0.40米/秒,在2573米处超过1.10米/秒.
- 在超声波噪声强度和电流速度之间发现了强烈的相关性,在更高的速度下,噪声和频率会增加.
- 成功使用机器学习来估计现场的当前速度,而无需直接测量.
结论:
- 这个地区的深海海流可以达到极端的速度,显著影响海底过程.
- 流动诱导噪声为估计深海流速提供了一种可行的方法,克服了测量限制.
- 机器学习提高了我们监测和理解动态深海环境的能力.
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