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Estimation of geoacoustic parameters and source range using airgun sounds in the East Siberian Sea, Arctic Oceanopen access

Authors
Lee, Dae HyeokHan, Dong-GyunChoi, Jee WoongSon, WujuYang, Eun JinLa, Hyoung SulTang, Dajun
Issue Date
May-2024
Publisher
Frontiers Media S.A.
Keywords
seismic airgun sounds; dispersion curves; warping; geoacoustic inversion; East Siberian Sea; Arctic Ocean
Citation
Frontiers in Marine Science, v.11, pp 1 - 11
Pages
11
Indexed
SCIE
SCOPUS
Journal Title
Frontiers in Marine Science
Volume
11
Start Page
1
End Page
11
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/119071
DOI
10.3389/fmars.2024.1370294
ISSN
2296-7745
2296-7745
Abstract
Dispersion is a representative property of low-frequency sound propagation over long distances in shallow-water waveguides, making dispersion curves valuable for geoacoustic inversion. This study focuses on estimating the geoacoustic parameters using the dispersion curves extracted from airgun sounds received in the East Siberian Sea. The seismic survey was conducted in September 2019 by the icebreaking research vessel R/V Araon, operated by the Korea Polar Research Institute. A single hydrophone was moored at the East Siberian Shelf, characterized by nearly range-independent shallow water (<70 m) with a hard bottom. In the spectrogram of the received sounds, the dispersion curves of the first two modes were clearly observed. Utilizing a combination of warping transform and wavelet synchrosqueezing transform these two modes were separated. Then, the geoacoustic parameters, such as sound speed and density in the sediment layer, were estimated by comparing the two modal curves extracted at a source-receiver distance of approximately 18.6 km with the predictions obtained by the KRAKEN normal-mode propagation model. Subsequently, the distances between the airgun and the receiver system in the 18.6 to 121.5 km range were estimated through the comparison between the measured modal curves and the model replicas predicted using the estimated geoacoustic parameters.
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COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY > DEPARTMENT OF MARINE SCIENCE AND CONVERGENCE ENGINEERING > 1. Journal Articles

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