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Autonomous recording system for simultaneous long-term ambient noise and marine mammal monitoring

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conference contribution
posted on 2016-12-15, 11:16 authored by Paul LepperPaul Lepper, L. Simon, L. Dufrechou
There has be significant growth in recent year in the requirement for high quality long-term underwater acoustic data acquisition. One of the primary drivers has been the assessment of long-term trends in noise in our oceans and potential impacts from anthropogenic noise on marine wildlife. These recorders usually fulfill a number of key roles in this sector. These include providing acoustic data on long-term trends in ambient or background noise, data on trends in system or device noise of interest and data on vocalizing marine species and potential associated behaviors. Many marine sectors now routinely use these data types to assess any impact from their operations and commonly they form part of ocean operators consenting processes. However no single technology is widely available to perform all of these functions efficiently within a single deployment package.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Proceedings of OCEANS 2016 MTS/IEEE Monterey Conference & Exhibition ISBN DVD: 978-1-5090-1538-2

Volume

IEEE Catalog Number: CFP16OCE-DVD

Citation

LEPPER, P.A., SIMON, L. and DUFRECHOU, L., 2016. Autonomous recording system for simultaneous long-term ambient noise and marine mammal monitoring. Proceedings of OCEANS 2016 MTS/IEEE Monterey Conference & Exhibition, Monterey / USA, 19-23 Sept. 2016.

Publisher

© IEEE

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2016-09-19

Publication date

2016

Notes

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISBN

978-1-5090-1537-5

Language

  • en

Location

Monterey / USA