scholarly journals Study of Ambient Noise in the Deep Ocean

1960 ◽  
Vol 32 (7) ◽  
pp. 916-916
Author(s):  
Norman D. Miller
Keyword(s):  
Ambient Noise ◽  
Deep Ocean

Wind dependence of deep ocean ambient noise at low frequencies

1993 ◽  
Vol 93 (2) ◽  
pp. 782-789 ◽  
Author(s):  
N. R. Chapman ◽  
J. W. Cornish
Keyword(s):  
Ambient Noise ◽  
Deep Ocean ◽  
Low Frequencies

A Method for Noise Source Levels Inversion with Underwater Ambient Noise Generated by Typhoon in Deep Ocean

2018 ◽  
Vol 26 (02) ◽  
pp. 1850007 ◽  
Author(s):  
Qiulong Yang ◽  
Kunde Yang ◽  
Shunli Duan
Keyword(s):  
Ambient Noise ◽  
Noise Source ◽  
Surface Wind ◽  
Deep Ocean ◽  
Noise Sources ◽  
Noise Field ◽  
Sea Surface Wind ◽  
Source Level ◽  
The Western Pacific ◽  
Good Agreement

Sea-surface wind agitation can be considered the dominant noise sources whose intensity relies on local wind speed during typhoon period. Noise source levels in previous researches may be unappreciated for all oceanic regions and should be corrected for modeling typhoon-generated ambient noise fields in deep ocean. This work describes the inversion of wind-driven noise source level based on a noise field model and experimental measurements, and the verification of the inverted noise source levels with experimental results during typhoon period. A method based on ray approach is presented for modeling underwater ambient noise fields generated by typhoons in deep ocean. Besides, acoustic field reciprocity is utilized to decrease the calculation amount in modeling ambient noise field. What is more, the depth dependence and the vertical directionality of noise field based on the modeling method and the Holland typhoon model are evaluated and analyzed in deep ocean. Furthermore, typhoons named “Soulik” in 2013 and “Nida” in 2016 passed by the receivers deployed in the western Pacific (WP) and the South China Sea (SCS). Variations in sound speed profile, bathymetry, and the related oceanic meteorological parameters are analyzed and taken into consideration for modeling noise field. Boundary constraint simulated annealing (SA) method is utilized to invert the three parameters of noise source levels and to minimize the objective function value. The prediction results with the inverted noise source levels exhibit good agreement with the measured experiment data and are compared with predicted results with other noise sources levels derived in previous researches.

Deep Ocean Ambient Noise

1967 ◽  
Author(s):  
Arthur A. Barrios
Keyword(s):  
Ambient Noise ◽  
Deep Ocean

Ambient Noise Analysis of Deep-Ocean Measurements in the Northeast Pacific

2007 ◽  
Vol 32 (2) ◽  
pp. 497-512 ◽  
Author(s):  
Roy D. Gaul ◽  
David P. Knobles ◽  
Jack A. Shooter ◽  
August F. Wittenborn
Keyword(s):  
Ambient Noise ◽  
Noise Analysis ◽  
Deep Ocean ◽  
Northeast Pacific ◽  
Ocean Measurements

scholarly journals Spatial Vertical Directionality and Correlation of Low-Frequency Ambient Noise in Deep Ocean Direct-Arrival Zones

Sensors ◽  
2018 ◽  
Vol 18 (2) ◽  
pp. 319 ◽  
Author(s):  
Qiulong Yang ◽  
Kunde Yang ◽  
Ran Cao ◽  
Shunli Duan
Keyword(s):  
Ambient Noise ◽  
Low Frequency ◽  
Deep Ocean

Effect of a rough seabed on the spectral composition of deep ocean infrasonic ambient noise

1993 ◽  
Vol 93 (2) ◽  
pp. 753-769 ◽  
Author(s):  
Jin‐Yuan Liu ◽  
Henrik Schmidt ◽  
W. A. Kuperman
Keyword(s):  
Ambient Noise ◽  
Spectral Composition ◽  
Deep Ocean

Deep Sound: A Free-Falling Sensor Platform for Depth-Profiling Ambient Noise in the Deep Ocean

2009 ◽  
Vol 43 (5) ◽  
pp. 144-150 ◽  
Author(s):  
David R. Barclay ◽  
Fernando Simonet ◽  
Michael J. Buckingham
Keyword(s):  
Ambient Noise ◽  
Noise Temperature ◽  
Depth Profiling ◽  
Lithium Ion ◽  
Deep Ocean ◽  
Central Component ◽  
System Control ◽  
Data Set ◽  
System Data ◽  
Free Falling

AbstractAmbient noise in the deep ocean is traditionally monitored using bottom-mounted or surface-suspended hydrophone arrays. An alternative approach has recently been developed in which an autonomous, untethered instrument platform free falls under gravity from the surface to a preassigned depth, where a drop weight is released, allowing the system to return to the surface under buoyancy. Referred to as Deep Sound, the instrument records acoustic, environmental, and system data continuously during the descent and ascent. The central component of Deep Sound is a Vitrovex glass sphere, formed of two hemispheres, which houses data acquisition and storage electronics, along with a microprocessor for system control. A suite of sensors on Deep Sound continuously monitor the ambient noise, temperature, salinity, pressure, and system orientation throughout the round trip from the surface to the bottom. In particular, several hydrophones return ambient noise time series, each with a bandwidth of 30 kHz, from which the noise spectral level, along with the vertical and horizontal coherence, are computed as functions of depth. After system recovery, the raw data are downloaded and the internal lithium ion batteries are recharged via throughputs in the sphere, which eliminates the need to separate the hemispheres between deployments. In May 2009, Deep Sound descended to a depth of 6 km in the Philippine Sea and successfully returned to the surface, bringing with it a unique data set on the broadband ambient noise within and below the deep sound channel. The next deep deployment is planned for November 2009, when Deep Sound will descend almost 11 km, to the bottom of the Challenger Deep at the southern end of the Mariana Trench. If successful, it will return with continuous acoustic and environmental recordings taken from the sea surface to the bottom of the deepest ocean on Earth.

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