Marine Acoustic Zones of Australia

Underwater sound is modelled and mapped for purposes ranging from localised environmental impact assessments of individual offshore developments to large-scale marine spatial planning. As the area to be modelled increases, so does the computational effort. The effort is more easily handled if broken...

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Main Authors: Christine Erbe, David Peel, Joshua N. Smith, Renee P. Schoeman
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/9/3/340
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spelling doaj-4844305db07945c5bb56dafd98fd6e1b2021-03-20T00:05:48ZengMDPI AGJournal of Marine Science and Engineering2077-13122021-03-01934034010.3390/jmse9030340Marine Acoustic Zones of AustraliaChristine Erbe0David Peel1Joshua N. Smith2Renee P. Schoeman3Centre for Marine Science and Technology, Curtin University, Perth, WA 6102, AustraliaData61, CSIRO, CSIRO Marine Laboratories, Hobart, TAS 7004, AustraliaCentre for Sustainable Aquatic Ecosystems, Harry Butler Institute, Murdoch University, Perth, WA 6150, AustraliaCentre for Marine Science and Technology, Curtin University, Perth, WA 6102, AustraliaUnderwater sound is modelled and mapped for purposes ranging from localised environmental impact assessments of individual offshore developments to large-scale marine spatial planning. As the area to be modelled increases, so does the computational effort. The effort is more easily handled if broken down into smaller regions that could be modelled separately and their results merged. The goal of our study was to split the Australian maritime Exclusive Economic Zone (EEZ) into a set of smaller acoustic zones, whereby each zone is characterised by a set of environmental parameters that vary more across than within zones. The environmental parameters chosen reflect the hydroacoustic (e.g., water column sound speed profile), geoacoustic (e.g., sound speeds and absorption coefficients for compressional and shear waves), and bathymetric (i.e., seafloor depth and slope) parameters that directly affect the way in which sound propagates. We present a multivariate Gaussian mixture model, modified to handle input vectors (sound speed profiles) of variable length, and fitted by an expectation-maximization algorithm, that clustered the environmental parameters into 20 maritime acoustic zones corresponding to 28 geographically separated locations. Mean zone parameters and shape files are available for download. The zones may be used to map, for example, underwater sound from commercial shipping within the entire Australian EEZ.https://www.mdpi.com/2077-1312/9/3/340underwater noisesound propagation modellingmultivariate mixture modelacoustic zoneship noiseAustralian EEZ
collection DOAJ
language English
format Article
sources DOAJ
author Christine Erbe
David Peel
Joshua N. Smith
Renee P. Schoeman
spellingShingle Christine Erbe
David Peel
Joshua N. Smith
Renee P. Schoeman
Marine Acoustic Zones of Australia
Journal of Marine Science and Engineering
underwater noise
sound propagation modelling
multivariate mixture model
acoustic zone
ship noise
Australian EEZ
author_facet Christine Erbe
David Peel
Joshua N. Smith
Renee P. Schoeman
author_sort Christine Erbe
title Marine Acoustic Zones of Australia
title_short Marine Acoustic Zones of Australia
title_full Marine Acoustic Zones of Australia
title_fullStr Marine Acoustic Zones of Australia
title_full_unstemmed Marine Acoustic Zones of Australia
title_sort marine acoustic zones of australia
publisher MDPI AG
series Journal of Marine Science and Engineering
issn 2077-1312
publishDate 2021-03-01
description Underwater sound is modelled and mapped for purposes ranging from localised environmental impact assessments of individual offshore developments to large-scale marine spatial planning. As the area to be modelled increases, so does the computational effort. The effort is more easily handled if broken down into smaller regions that could be modelled separately and their results merged. The goal of our study was to split the Australian maritime Exclusive Economic Zone (EEZ) into a set of smaller acoustic zones, whereby each zone is characterised by a set of environmental parameters that vary more across than within zones. The environmental parameters chosen reflect the hydroacoustic (e.g., water column sound speed profile), geoacoustic (e.g., sound speeds and absorption coefficients for compressional and shear waves), and bathymetric (i.e., seafloor depth and slope) parameters that directly affect the way in which sound propagates. We present a multivariate Gaussian mixture model, modified to handle input vectors (sound speed profiles) of variable length, and fitted by an expectation-maximization algorithm, that clustered the environmental parameters into 20 maritime acoustic zones corresponding to 28 geographically separated locations. Mean zone parameters and shape files are available for download. The zones may be used to map, for example, underwater sound from commercial shipping within the entire Australian EEZ.
topic underwater noise
sound propagation modelling
multivariate mixture model
acoustic zone
ship noise
Australian EEZ
url https://www.mdpi.com/2077-1312/9/3/340
work_keys_str_mv AT christineerbe marineacousticzonesofaustralia
AT davidpeel marineacousticzonesofaustralia
AT joshuansmith marineacousticzonesofaustralia
AT reneepschoeman marineacousticzonesofaustralia
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