Active acoustic monitoring in extreme turbulence around marine renewable energy devices

Research output: Contribution to journalAbstract

Abstract

The advance of tidal energy technologies has created new demands for active acoustic monitoring in highly dynamic marine environments. An innovative data collection approach using the FLOWBEC multi-instrument platform has been developed to acoustically observe turbulence and ecological interactions in the challenging environments around turbine installations in the UK. Standard processing approaches for echosounder data are unsuitable in these sites because of the extreme variability in acoustic conditions due to strong tidal flows and complex wind-wave interactions. Novel techniques for identifying ecological targets (fish, diving seabirds, and marine mammals) and characterising the physical conditions have been developed which are functional even during extreme turbulence. Reliable target identification is achieved using scale-sensitive filtering, morphological characterization, and multifrequency analysis of EK60 echosounder data. Combining results with synchronized multibeam data and other observations gives new oceanographic and ecological insights into these environments. This study contributes novel methodological and processing concepts for acoustic analysis in challenging sites of emerging industrial importance. The results provide vital observations on the behaviour of marine species with clear applications for the analysis of environmental impacts of marine renewable energy technologies.
Original languageEnglish
Article number2174
JournalJournal of the Acoustical Society of America
Volume139
Issue number4
DOIs
Publication statusPublished - Apr 2016

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renewable energy
energy technology
turbulence
acoustics
marine mammals
marine environments
fishes
wave interaction
turbines
installing
emerging
platforms
Monitoring
Acoustics
Energy
interactions
Interaction

Cite this

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title = "Active acoustic monitoring in extreme turbulence around marine renewable energy devices",
abstract = "The advance of tidal energy technologies has created new demands for active acoustic monitoring in highly dynamic marine environments. An innovative data collection approach using the FLOWBEC multi-instrument platform has been developed to acoustically observe turbulence and ecological interactions in the challenging environments around turbine installations in the UK. Standard processing approaches for echosounder data are unsuitable in these sites because of the extreme variability in acoustic conditions due to strong tidal flows and complex wind-wave interactions. Novel techniques for identifying ecological targets (fish, diving seabirds, and marine mammals) and characterising the physical conditions have been developed which are functional even during extreme turbulence. Reliable target identification is achieved using scale-sensitive filtering, morphological characterization, and multifrequency analysis of EK60 echosounder data. Combining results with synchronized multibeam data and other observations gives new oceanographic and ecological insights into these environments. This study contributes novel methodological and processing concepts for acoustic analysis in challenging sites of emerging industrial importance. The results provide vital observations on the behaviour of marine species with clear applications for the analysis of environmental impacts of marine renewable energy technologies.",
author = "Fraser, {Shaun James} and Benjamin Williamson and Scott, {Beth E.} and Vladimir Nikora",
year = "2016",
month = "4",
doi = "10.1121/1.4950456",
language = "English",
volume = "139",
journal = "Journal of the Acoustical Society of America",
issn = "0001-4966",
publisher = "ACOUSTICAL SOC AMER AMER INST PHYSICS",
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TY - JOUR

T1 - Active acoustic monitoring in extreme turbulence around marine renewable energy devices

AU - Fraser, Shaun James

AU - Williamson, Benjamin

AU - Scott, Beth E.

AU - Nikora, Vladimir

PY - 2016/4

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N2 - The advance of tidal energy technologies has created new demands for active acoustic monitoring in highly dynamic marine environments. An innovative data collection approach using the FLOWBEC multi-instrument platform has been developed to acoustically observe turbulence and ecological interactions in the challenging environments around turbine installations in the UK. Standard processing approaches for echosounder data are unsuitable in these sites because of the extreme variability in acoustic conditions due to strong tidal flows and complex wind-wave interactions. Novel techniques for identifying ecological targets (fish, diving seabirds, and marine mammals) and characterising the physical conditions have been developed which are functional even during extreme turbulence. Reliable target identification is achieved using scale-sensitive filtering, morphological characterization, and multifrequency analysis of EK60 echosounder data. Combining results with synchronized multibeam data and other observations gives new oceanographic and ecological insights into these environments. This study contributes novel methodological and processing concepts for acoustic analysis in challenging sites of emerging industrial importance. The results provide vital observations on the behaviour of marine species with clear applications for the analysis of environmental impacts of marine renewable energy technologies.

AB - The advance of tidal energy technologies has created new demands for active acoustic monitoring in highly dynamic marine environments. An innovative data collection approach using the FLOWBEC multi-instrument platform has been developed to acoustically observe turbulence and ecological interactions in the challenging environments around turbine installations in the UK. Standard processing approaches for echosounder data are unsuitable in these sites because of the extreme variability in acoustic conditions due to strong tidal flows and complex wind-wave interactions. Novel techniques for identifying ecological targets (fish, diving seabirds, and marine mammals) and characterising the physical conditions have been developed which are functional even during extreme turbulence. Reliable target identification is achieved using scale-sensitive filtering, morphological characterization, and multifrequency analysis of EK60 echosounder data. Combining results with synchronized multibeam data and other observations gives new oceanographic and ecological insights into these environments. This study contributes novel methodological and processing concepts for acoustic analysis in challenging sites of emerging industrial importance. The results provide vital observations on the behaviour of marine species with clear applications for the analysis of environmental impacts of marine renewable energy technologies.

U2 - 10.1121/1.4950456

DO - 10.1121/1.4950456

M3 - Abstract

VL - 139

JO - Journal of the Acoustical Society of America

JF - Journal of the Acoustical Society of America

SN - 0001-4966

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