Ragland John, Abadi Shima, Sabra Karim
Electrical and Computer Engineering, University of Washington, Seattle, Washington 98195, USA.
Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
J Acoust Soc Am. 2022 Jan;151(1):194. doi: 10.1121/10.0009232.
Long-term noise interferometry analysis is conducted over six years of data using two hydrophones on the Ocean Observatories Initiative Cabled Array. The two hydrophones are separated by 3.2 km and are bottom-mounted at 1500 m. We demonstrate the ability of ambient noise interferometry to reliably detect multi-path arrivals in the deep ocean from bottom-mounted hydrophones. An analysis of the multi-path arrival peak emergence is presented, as well as long-term trends of the signal-to-noise ratio of the arrival peaks. Last, we show that long-term ambient noise interferometry provides the opportunity for monitoring directional, coherent ambient sound such as the fin whale chorus.
利用海洋观测倡议海底电缆观测阵列上的两个水听器,对长达六年的数据进行了长期噪声干涉测量分析。这两个水听器相距3.2千米,底部安装在1500米深处。我们展示了利用环境噪声干涉测量法从底部安装的水听器可靠检测深海中多径波至的能力。本文给出了对多径波至峰值出现情况的分析,以及波至峰值信噪比的长期趋势。最后,我们表明长期环境噪声干涉测量为监测定向、相干的环境声音(如长须鲸的合唱声)提供了机会。