Dataset

Acoustic Zones of Australia

University of Tasmania, Australia
Erbe, Christine ; Smith, Josh ; Schoeman, Renee
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://metadata.imas.utas.edu.au:443/geonetwork/srv/en/metadata.show?uuid=0c1bb667-29b2-4848-ade7-a98417121a66&rft.title=Acoustic Zones of Australia&rft.identifier=https://metadata.imas.utas.edu.au:443/geonetwork/srv/en/metadata.show?uuid=0c1bb667-29b2-4848-ade7-a98417121a66&rft.publisher=Institute for Marine and Antarctic Studies, University of Tasmania&rft.description=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. 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.Desktop study, We used a multivariate 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 28 maritime acoustic zones.. See Erbe et al. (TBA) and NESP E2 Final report for more detail&rft.creator=Erbe, Christine &rft.creator=Smith, Josh &rft.creator=Schoeman, Renee &rft.date=2021&rft.relation=https://doi.org/10.3390/jmse9030340&rft.coverage=northlimit=-8.458; southlimit=-47.611; westlimit=108.688; eastLimit=163.36&rft_rights=Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/&rft_rights=The data described in this record are the intellectual property of CSIRO.&rft_rights=Data was sourced from the NESP Marine Biodiversity Hub – the Marine Biodiversity Hub is supported through funding from the Australian Government’s National Environmental Science Program (NESP), administered by the Department of the Environment (DOE).&rft_subject=oceans&rft_subject=Noise&rft_subject=OCEANS&rft_subject=EARTH SCIENCE&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/

The data described in this record are the intellectual property of CSIRO.

Data was sourced from the NESP Marine Biodiversity Hub – the Marine Biodiversity Hub is supported through funding from the Australian Government’s National Environmental Science Program (NESP), administered by the Department of the Environment (DOE).

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Open

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Full description

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. 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.

Lineage

Desktop study, We used a multivariate 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 28 maritime acoustic zones.. See Erbe et al. (TBA) and NESP E2 Final report for more detail

Created: 2021-02-27

Data time period: 2015-07-01 to 2017-07-01

163.36,-8.458 163.36,-47.611 108.688,-47.611 108.688,-8.458 163.36,-8.458

136.024,-28.0345

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