Could marine mammals use ambient noise imaging techniques?

1997 ◽  
Vol 102 (5) ◽  
pp. 3104-3104 ◽  
Author(s):  
John R. Potter ◽  
Elizabeth Taylor ◽  
Mandar Chitre
2018 ◽  
Vol 14 (10) ◽  
pp. 20180484 ◽  
Author(s):  
Leila Fouda ◽  
Jessica E. Wingfield ◽  
Amber D. Fandel ◽  
Aran Garrod ◽  
Kristin B. Hodge ◽  
...  

Ocean noise varies spatially and temporally and is driven by natural and anthropogenic processes. Increased ambient noise levels can cause signal masking and communication impairment, affecting fitness and recruitment success. However, the effects of increasing ambient noise levels on marine species, such as marine mammals that primarily rely on sound for communication, are not well understood. We investigated the effects of concurrent ambient noise levels on social whistle calls produced by bottlenose dolphins ( Tursiops truncatus ) in the western North Atlantic. Elevated ambient noise levels were mainly caused by ship noise. Increases in ship noise, both within and below the dolphins' call bandwidth, resulted in higher dolphin whistle frequencies and a reduction in whistle contour complexity, an acoustic feature associated with individual identification. Consequently, the noise-induced simplification of dolphin whistles may reduce the information content in these acoustic signals and decrease effective communication, parent–offspring proximity or group cohesion.


2011 ◽  
Vol 2011 ◽  
pp. 1-4 ◽  
Author(s):  
S. Sakthivel Murugan ◽  
V. Natarajan ◽  
R. Rajesh Kumar

Signal transmission in ocean using water as a channel is a challenging process due to attenuation, spreading, reverberation, absorption, and so forth, apart from the contribution of acoustic signals due to ambient noises. Ambient noises in sea are of two types: manmade (shipping, aircraft over the sea, motor on boat, etc.) and natural (rain, wind, seismic, etc.), apart from marine mammals and phytoplanktons. Since wind exists in all places and at all time: its effect plays a major role. Hence, in this paper, we concentrate on estimating the effects of wind. Seven sets of data with various wind speeds ranging from 2.11 m/s to 6.57 m/s were used. The analysis is performed for frequencies ranging from 100 Hz to 8 kHz. It is found that a linear relationship between noise spectrum and wind speed exists for the entire frequency range. Further, we developed a noise model for analyzing the noise level. The results of the empirical data are found to fit with results obtained with the aid of noise model.


Geophysics ◽  
2021 ◽  
Vol 86 (3) ◽  
pp. WB35-WB48
Author(s):  
Roland Gritto ◽  
Ali Elobaid Elnaiem ◽  
Fateh Alrahman Mohamed ◽  
Fadhil Sadooni

At the site of a water drainage shaft on the campus of Qatar University that serves as a man-made karst analog, two seismic imaging techniques were adapted to use resonant scattered waves recorded during active-source seismic surveys and during passive ambient-noise surveys. Data acquisition included two seismic transmission surveys that encompassed the shaft and a passive ambient-noise survey that extended across the top of the shaft. Seismic imaging of band-pass-filtered resonance waves correctly estimated the location and dimension of the shaft. Furthermore, the method detected the presence and the location of a horizontal drainage pipe and gravel bed connecting neighboring water shafts. Ambient-noise data were analyzed by computing amplitude values of the seismic records in spectral passbands. The results indicated an amplification of seismic amplitudes above the shaft for low-frequency passbands and a sharp decrease in amplitude values for high-frequency passbands. The high- and low-amplitude values displayed as a function of the receiver position allowed for accurate detection and location of the shaft in space. Ground truthing of the imaging results confirmed the accuracy of the seismic techniques, whereas numerical modeling supported the interpretation of the ambient-noise data. The techniques used do not require knowledge of the seismic velocities in the subsurface, but they depend on a priori information about the approximate location of the target.


2014 ◽  
Vol 136 (4) ◽  
pp. 2247-2247
Author(s):  
John E. Joseph ◽  
Tetyana Margolina ◽  
Ming-Jer Huang

2016 ◽  
Vol 219 (17) ◽  
pp. 2774-2774 ◽  
Author(s):  
Alexander M. von Benda-Beckmann ◽  
Paul J. Wensveen ◽  
Filipa I. P. Samarra ◽  
S. Peter Beerens ◽  
Patrick J. O. Miller

2016 ◽  
Vol 219 (15) ◽  
pp. 2271-2275 ◽  
Author(s):  
Alexander M. von Benda-Beckmann ◽  
Paul J. Wensveen ◽  
Filipa I. P. Samarra ◽  
S. Peter Beerens ◽  
Patrick J. O. Miller

2003 ◽  
Author(s):  
George Frisk ◽  
David Bradley ◽  
Jack Caldwell ◽  
Gerald D'Spain ◽  
Jonathan Gordon
Keyword(s):  

2014 ◽  
Vol 48 (6) ◽  
pp. 21-32
Author(s):  
Lisa M. Zurk ◽  
Helen H. Ou ◽  
Scott Schecklman ◽  
Ayal Lutwak

AbstractThis paper introduces underwater sensing technologies for acoustic monitoring of marine conservation areas. Small networks of individual passive acoustic sensors have been deployed to investigate a low-cost solution for monitoring motorized vessels and marine ambient noise in large areas. A data processing package, called “Conservancy-Watch,” is introduced for environmental management and conservation of natural resources. The package includes passive sensing database creation, ambient noise monitoring to identify long-term trends and impacts, classification of organic and boat vessel events, detection of marine mammals and estimation of their call density, and detection of motorized vessels. Test results on data collected at several conservation sites in Hawaii have confirmed the detection capability of individual hydrophone sensors.


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