Early and Late Time Acoustic Measures for Underwater Seismic Airgun Signals In Long-Term Acoustic Data Sets

This work presents a new toolkit for describing the acoustic properties of the ocean environment before, during and after a sound event caused by an underwater seismic air-gun. The toolkit uses existing sound measures, but uniquely applies these to capture the early time period (actual pulse) and la...

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Bibliographic Details
Main Authors: Dugan, Peter, Guerra, Melania, Ponirakis, Dimitri, Klinck, Holger, Clark, Christopher W.
Format: Report
Language:unknown
Published: arXiv 2016
Subjects:
Online Access:https://dx.doi.org/10.48550/arxiv.1607.08482
https://arxiv.org/abs/1607.08482
id ftdatacite:10.48550/arxiv.1607.08482
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spelling ftdatacite:10.48550/arxiv.1607.08482 2023-05-15T15:35:05+02:00 Early and Late Time Acoustic Measures for Underwater Seismic Airgun Signals In Long-Term Acoustic Data Sets Dugan, Peter Guerra, Melania Ponirakis, Dimitri Klinck, Holger Clark, Christopher W. 2016 https://dx.doi.org/10.48550/arxiv.1607.08482 https://arxiv.org/abs/1607.08482 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Sound cs.SD FOS Computer and information sciences Preprint Article article CreativeWork 2016 ftdatacite https://doi.org/10.48550/arxiv.1607.08482 2022-04-01T11:14:04Z This work presents a new toolkit for describing the acoustic properties of the ocean environment before, during and after a sound event caused by an underwater seismic air-gun. The toolkit uses existing sound measures, but uniquely applies these to capture the early time period (actual pulse) and late time period (reverberation and multiple arrivals). In total, 183 features are produced for each air-gun sound. This toolkit was utilized on data retrieved from a field deployment encompassing five marine autonomous recording units during a 46-day seismic air-gun survey in Baffin Bay, Greenland. Using this toolkit, a total of 147 million data points were identified from the Greenland deployment recordings. The feasibility of extracting a large number of features was then evaluated using two separate methods: a serial computer and a high performance system. Results indicate that data extraction performance took an estimated 216 hours for the serial system, and 18 hours for the high performance computer. This paper provides an analytical description of the new toolkit along with details for using it to identify relevant data. : Camera copy version of the paper for publication in IEEE explore. Paper was withdrawn by the co-authors for submission to JASA Express Letters Report Baffin Bay Baffin Bay Baffin Greenland DataCite Metadata Store (German National Library of Science and Technology) Baffin Bay Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Sound cs.SD
FOS Computer and information sciences
spellingShingle Sound cs.SD
FOS Computer and information sciences
Dugan, Peter
Guerra, Melania
Ponirakis, Dimitri
Klinck, Holger
Clark, Christopher W.
Early and Late Time Acoustic Measures for Underwater Seismic Airgun Signals In Long-Term Acoustic Data Sets
topic_facet Sound cs.SD
FOS Computer and information sciences
description This work presents a new toolkit for describing the acoustic properties of the ocean environment before, during and after a sound event caused by an underwater seismic air-gun. The toolkit uses existing sound measures, but uniquely applies these to capture the early time period (actual pulse) and late time period (reverberation and multiple arrivals). In total, 183 features are produced for each air-gun sound. This toolkit was utilized on data retrieved from a field deployment encompassing five marine autonomous recording units during a 46-day seismic air-gun survey in Baffin Bay, Greenland. Using this toolkit, a total of 147 million data points were identified from the Greenland deployment recordings. The feasibility of extracting a large number of features was then evaluated using two separate methods: a serial computer and a high performance system. Results indicate that data extraction performance took an estimated 216 hours for the serial system, and 18 hours for the high performance computer. This paper provides an analytical description of the new toolkit along with details for using it to identify relevant data. : Camera copy version of the paper for publication in IEEE explore. Paper was withdrawn by the co-authors for submission to JASA Express Letters
format Report
author Dugan, Peter
Guerra, Melania
Ponirakis, Dimitri
Klinck, Holger
Clark, Christopher W.
author_facet Dugan, Peter
Guerra, Melania
Ponirakis, Dimitri
Klinck, Holger
Clark, Christopher W.
author_sort Dugan, Peter
title Early and Late Time Acoustic Measures for Underwater Seismic Airgun Signals In Long-Term Acoustic Data Sets
title_short Early and Late Time Acoustic Measures for Underwater Seismic Airgun Signals In Long-Term Acoustic Data Sets
title_full Early and Late Time Acoustic Measures for Underwater Seismic Airgun Signals In Long-Term Acoustic Data Sets
title_fullStr Early and Late Time Acoustic Measures for Underwater Seismic Airgun Signals In Long-Term Acoustic Data Sets
title_full_unstemmed Early and Late Time Acoustic Measures for Underwater Seismic Airgun Signals In Long-Term Acoustic Data Sets
title_sort early and late time acoustic measures for underwater seismic airgun signals in long-term acoustic data sets
publisher arXiv
publishDate 2016
url https://dx.doi.org/10.48550/arxiv.1607.08482
https://arxiv.org/abs/1607.08482
geographic Baffin Bay
Greenland
geographic_facet Baffin Bay
Greenland
genre Baffin Bay
Baffin Bay
Baffin
Greenland
genre_facet Baffin Bay
Baffin Bay
Baffin
Greenland
op_rights arXiv.org perpetual, non-exclusive license
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
op_doi https://doi.org/10.48550/arxiv.1607.08482
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