The University of Southampton
University of Southampton Institutional Repository

Passive acoustic localisation of undersea gas seeps using beamforming

Passive acoustic localisation of undersea gas seeps using beamforming
Passive acoustic localisation of undersea gas seeps using beamforming
Passive acoustics has been identified as an important strategy to determine underwater gas flux at natural sites, or at locations related to anthropogenic activities. The ability of an acoustic system to detect, quantify and locate a gas leak is fundamentally controlled by the Signal to Noise Ratio (SNR) of the bubble sounds relative to the ambient noise. This work considers the use of beamforming methods to enhance the SNR and so improve the performance of passive acoustic systems. In this work we propose a focused beamforming technique to localise the gas seeps. To achieve high levels of noise reduction an adaptive beamformer is employed, specifically the minimum variance distortionless response (MVDR) beamformer. The technique is demonstrated using an array of five hydrophones collecting data at the controlled CO2 gas release experiment conducted as part of STEMM-CCS (Strategies for Environmental Monitoring of Marine Carbon Capture and Storage) project. The experimental results show that the adaptive beamformer outperforms the conventional (delay and sum) beamformer in undersea bubble localisation. Furthermore, the results with a pair of hydrophone arrays show an improvement of the localisation compared to the use of one hydrophone array.
Beamforming, Bubble, CCS, CO, Greenhouse gas, Marine Carbon Capture and Storage, Underwater acoustics
1750-5836
Li, Jianghui
9c589194-00fa-4d42-abaf-53a32789cc5e
White, Paul
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Bull, Jonathan
974037fd-544b-458f-98cc-ce8eca89e3c8
Leighton, Timothy
3e5262ce-1d7d-42eb-b013-fcc5c286bbae
Roche, Ben
2746ee9e-1b87-4d2f-b4e1-dcdc0ca7a719
Davis, John
7f762b01-375b-42c8-80cb-65baefffdb97
Li, Jianghui
9c589194-00fa-4d42-abaf-53a32789cc5e
White, Paul
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Bull, Jonathan
974037fd-544b-458f-98cc-ce8eca89e3c8
Leighton, Timothy
3e5262ce-1d7d-42eb-b013-fcc5c286bbae
Roche, Ben
2746ee9e-1b87-4d2f-b4e1-dcdc0ca7a719
Davis, John
7f762b01-375b-42c8-80cb-65baefffdb97

Li, Jianghui, White, Paul, Bull, Jonathan, Leighton, Timothy, Roche, Ben and Davis, John (2021) Passive acoustic localisation of undersea gas seeps using beamforming. International Journal of Greenhouse Gas Control, 108, [103316]. (doi:10.1016/j.ijggc.2021.103316).

Record type: Article

Abstract

Passive acoustics has been identified as an important strategy to determine underwater gas flux at natural sites, or at locations related to anthropogenic activities. The ability of an acoustic system to detect, quantify and locate a gas leak is fundamentally controlled by the Signal to Noise Ratio (SNR) of the bubble sounds relative to the ambient noise. This work considers the use of beamforming methods to enhance the SNR and so improve the performance of passive acoustic systems. In this work we propose a focused beamforming technique to localise the gas seeps. To achieve high levels of noise reduction an adaptive beamformer is employed, specifically the minimum variance distortionless response (MVDR) beamformer. The technique is demonstrated using an array of five hydrophones collecting data at the controlled CO2 gas release experiment conducted as part of STEMM-CCS (Strategies for Environmental Monitoring of Marine Carbon Capture and Storage) project. The experimental results show that the adaptive beamformer outperforms the conventional (delay and sum) beamformer in undersea bubble localisation. Furthermore, the results with a pair of hydrophone arrays show an improvement of the localisation compared to the use of one hydrophone array.

Text
BubbleLocalizationNomark - Accepted Manuscript
Download (8MB)

More information

Accepted/In Press date: 23 March 2021
e-pub ahead of print date: 1 April 2021
Published date: June 2021
Additional Information: Funding Information: Funding was provided by the European Unions Horizon 2020 research and innovation programme under the grant agreement number 654462 (STEMM-CCS). We are grateful to the Captain of the RRS ‘James Cook’ and crew for enabling the scientific measurements at sea during the JC180 cruise. Publisher Copyright: © 2021 Elsevier Ltd Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
Keywords: Beamforming, Bubble, CCS, CO, Greenhouse gas, Marine Carbon Capture and Storage, Underwater acoustics

Identifiers

Local EPrints ID: 449826
URI: http://eprints.soton.ac.uk/id/eprint/449826
ISSN: 1750-5836
PURE UUID: 70c75a19-fcb0-43c5-a30b-693e002d9ee4
ORCID for Jianghui Li: ORCID iD orcid.org/0000-0002-2956-5940
ORCID for Paul White: ORCID iD orcid.org/0000-0002-4787-8713
ORCID for Jonathan Bull: ORCID iD orcid.org/0000-0003-3373-5807
ORCID for Timothy Leighton: ORCID iD orcid.org/0000-0002-1649-8750

Catalogue record

Date deposited: 18 Jun 2021 16:31
Last modified: 12 Jul 2024 04:01

Export record

Altmetrics

Contributors

Author: Jianghui Li ORCID iD
Author: Paul White ORCID iD
Author: Jonathan Bull ORCID iD
Author: Ben Roche
Author: John Davis

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×