Wavefield features of fin whale vocalization observed by distributed acoustic sensing

Monitoring whale vocalization is of scientific importance and has practical value for marine ecology, hydroacoustics, and geophysics. Conventional monitoring approaches, including hydrophone arrays, ocean-bottom seismometers, and satellite tagging, are limited by sparse spatial coverage, potential biological disturbance, and high cost. Distributed acoustic sensing (DAS) is an emerging method that uses submarine optical cables as dense acoustic arrays, potentially enabling large-scale, high-resolution monitoring of whale vocalization. We investigated the features of the wavefields of fin whale vocalization by integrating DAS observations with numerical modeling. Three distinct features-insensitive response segments (IRSs), high-frequency component loss, and acoustic notches-were identified in the observed wavefields. DAS response modeling based on ray theory indicates that the length of the IRS is correlated positively with the vertical distance between the source and cable, and the gauge length is responsible for the high-frequency loss in whale calls. Furthermore, wavefield modeling using the spectral-element method demonstrates that the notches represent transitions between transmission zones of waterborne multipath waves entering the seafloor and are sensitive to the seafloor P-wave velocity, water depth, and bathymetry. These findings not only improve our understanding of DAS-observed wavefields but also highlight the potential of DAS for ocean environmental parameter estimation and three-dimensional whale localization.

Authors

Institutions

Publication Details

Journal
The Journal of the Acoustical Society of America
Published
2026-07-01
DOI
https://doi.org/10.1121/10.0044234
Primary Topic
Marine animal studies overview
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wavefield features of fin whale vocalization observed by distributed acoustic sensing

Jianmin Lin, Tao Zhang, Qile Wang
The Journal of the Acoustical Society of America
Marine animal studies overview
article

Wavefield features of fin whale vocalization observed by distributed acoustic sensing

Jianmin Lin, Tao Zhang, Qile Wang
article en

Abstract

Monitoring whale vocalization is of scientific importance and has practical value for marine ecology, hydroacoustics, and geophysics. Conventional monitoring approaches, including hydrophone arrays, ocean-bottom seismometers, and satellite tagging, are limited by sparse spatial coverage, potential biological disturbance, and high cost. Distributed acoustic sensing (DAS) is an emerging method that uses submarine optical cables as dense acoustic arrays, potentially enabling large-scale, high-resolution monitoring of whale vocalization. We investigated the features of the wavefields of fin whale vocalization by integrating DAS observations with numerical modeling. Three distinct features-insensitive response segments (IRSs), high-frequency component loss, and acoustic notches-were identified in the observed wavefields. DAS response modeling based on ray theory indicates that the length of the IRS is correlated positively with the vertical distance between the source and cable, and the gauge length is responsible for the high-frequency loss in whale calls. Furthermore, wavefield modeling using the spectral-element method demonstrates that the notches represent transitions between transmission zones of waterborne multipath waves entering the seafloor and are sensitive to the seafloor P-wave velocity, water depth, and bathymetry. These findings not only improve our understanding of DAS-observed wavefields but also highlight the potential of DAS for ocean environmental parameter estimation and three-dimensional whale localization.

The Journal of the Acoustical Society of AmericaVol. 160(1)
Zhejiang Ocean University (CN), Second Institute of Oceanography (CN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 8%
Marine animal studies overview
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.