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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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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