TY - JOUR
T1 - Periodicity in ambient noise and variation based on different temporal units of analysis
AU - Hawkins, Russell
AU - Miksis-Olds, Jennifer
AU - Bradley, David L.
AU - Smith, Chad
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - The Comprehensive Nuclear-Test Ban Treaty Organization (CTBTO) has been continuously monitoring ambient sound levels in the Indian Ocean at Diego Garcia since 2000. Using different temporal units of analysis, the variation in the low-frequency ambient sound level is examined. Exploring the influence of the time unit of analysis is important because sound sources contribute to the sound level variability on different temporal scales. For example, variation in the sound level caused by the distant ship traffic may not be detectable over short periods of time, such as an hour or a minute. For daily averages examined over a year, the contribution of ship traffic in the overall sound level variance could be identified using an autocorrelation analysis. Such an analysis would exclude the possibility of detecting some shorter sound level variations such as those caused by vocalizations from marine mammals, which are more easily detected on a minute-to-minute scale. This study will examine different intervals of periodicity relating to each of the separate sources: wind, ice, animal activity, ship traffic, and other anthropogenic contributions. Determining the variability in ambient sound over multiple temporal periods is critical to understanding how sound sources contribute to the overall ambient sound level.
AB - The Comprehensive Nuclear-Test Ban Treaty Organization (CTBTO) has been continuously monitoring ambient sound levels in the Indian Ocean at Diego Garcia since 2000. Using different temporal units of analysis, the variation in the low-frequency ambient sound level is examined. Exploring the influence of the time unit of analysis is important because sound sources contribute to the sound level variability on different temporal scales. For example, variation in the sound level caused by the distant ship traffic may not be detectable over short periods of time, such as an hour or a minute. For daily averages examined over a year, the contribution of ship traffic in the overall sound level variance could be identified using an autocorrelation analysis. Such an analysis would exclude the possibility of detecting some shorter sound level variations such as those caused by vocalizations from marine mammals, which are more easily detected on a minute-to-minute scale. This study will examine different intervals of periodicity relating to each of the separate sources: wind, ice, animal activity, ship traffic, and other anthropogenic contributions. Determining the variability in ambient sound over multiple temporal periods is critical to understanding how sound sources contribute to the overall ambient sound level.
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U2 - 10.1121/1.4772729
DO - 10.1121/1.4772729
M3 - Conference article
AN - SCOPUS:84878965875
VL - 17
JO - Proceedings of Meetings on Acoustics
JF - Proceedings of Meetings on Acoustics
SN - 1939-800X
M1 - 070035
T2 - 11th European Conference on Underwater Acoustics, ECUA 2012
Y2 - 2 July 2012 through 6 July 2012
ER -