Periodicity in Ambient Noise and Variation based on Different Temporal Units of Analysis

Hawkins, Russell S.; Miksis‐Olds, Jennifer L.; Bradley, David L.; Smith, Chad M.

doi:10.1121/1.4772729

Cited by 4 publications

(2 citation statements)

References 5 publications

(9 reference statements)

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“…Oceanic ambient noise can be defined as a composite noise originating from all sound sources in the ocean (Kibblewhite and Jones, 1976) and ocean-bottom processes too. Because of the diversity of sources and their variable nature, ocean ambient noise can be difficult to assess without fully understanding their respective contributions (Wilcock et al, 2014;Hawkins et al, 2014). In the low frequency band (10-100 Hz), natural sources in the open-ocean are mainly marine mammals, seismic events, ice, and sea-state (Wenz, 1962;Wilcock et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Ambient noise studies mostly focus on the North Pacific (Curtis et al, 1999;Andrew et al, 2002;Chapman and Price, 2011) and the Atlantic oceans (Perrone, 1969;Nieukirk et al, 2004). Previous studies in the Indian Ocean have focused on the Northwest (Wagstaff, 2005) and the tropical Indian Ocean (Hawkins et al, 2014). Based on data from the International Monitoring System near Diego Garcia Island (7 S), Miksis-Olds et al (2013) showed that the increasing ship traffic correlates with an overall increase of the ambient noise level.…”

Section: Introductionmentioning

confidence: 99%

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Low-frequency sound level in the Southern Indian Ocean

Tsang-Hin-Sun

Royer

Leroy

2015

The Journal of the Acoustical Society of America

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This study presents long-term statistics on the ambient sound in the Southern Indian Ocean basin based on 2 years of data collected on six widely distributed autonomous hydrophones from 47°S to 4°S and 53°E to 83°E. Daily mean power spectra (10-100 Hz) were analyzed in order to identify the main sound sources and their space and time variability. Periodic signals are principally associated with the seasonal presence of three types of blue whales and fin whales whose signatures are easily identified at specific frequencies. In the low frequencies, occurrence of winter lows and summer highs in the ambient noise levels are well correlated with iceberg volume variations at the southern latitudes, suggesting that icebergs are a major sound source, seasonally contributing to the ambient noise, even at tropical latitudes (26°S). The anthropogenic contribution to the noise spectrum is limited. Shipping sounds are only present north and west of the study area in the vicinity of major traffic lanes. Acoustic recordings from the southern sites may thus be representative of the pristine ambient noise in the Indian Ocean.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low-frequency sound level in the Southern Indian Ocean

Tsang-Hin-Sun

Royer

Leroy

2015

The Journal of the Acoustical Society of America

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A scalable Hadoop/Spark framework for general-purpose analysis of high volume passive acoustic data

Duc

Degurse

Allemandou³

et al. 2019

OCEANS 2019 - Marseille

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Measuring the Marine Soundscape of the Indian Ocean with Southern Elephant Seals Used as Acoustic Gliders of Opportunity

Cazau

Bonnel

Jouma'a

et al. 2017

Journal of Atmospheric and Oceanic Technology

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The underwater ambient sound field contains quantifiable information about the physical and biological marine environment. The development of operational systems for monitoring in an autonomous way the underwater acoustic signal is necessary for many applications, such as meteorology and biodiversity protection. This paper develops a proof-of-concept study on performing marine soundscape analysis from acoustic passive recordings of free-ranging biologged southern elephant seals (SES). A multivariate multiple linear regression (MMLR) framework is used to predict the measured ambient noise, modeled as a multivariate acoustic response, from SES (depth, speed, and acceleration) and environmental (wind) variables. Results show that the acoustic contributions of SES variables affect mainly low-frequency sound pressure levels (SPLs), while frequency bands above 3 kHz are less corrupted by SES displacement and allow a good measure of the Indian Ocean soundscape. Also, preliminary results toward the development of a mobile embedded weather sensor are presented. In particular, wind speed estimation can be performed from the passive acoustic recordings with an accuracy of 2 m s−1, using a rather simple multiple linear model.

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Periodicity in Ambient Noise and Variation based on Different Temporal Units of Analysis

Cited by 4 publications

References 5 publications

Low-frequency sound level in the Southern Indian Ocean

Low-frequency sound level in the Southern Indian Ocean

A scalable Hadoop/Spark framework for general-purpose analysis of high volume passive acoustic data

Measuring the Marine Soundscape of the Indian Ocean with Southern Elephant Seals Used as Acoustic Gliders of Opportunity

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