Wind-dependent ambient noise level estimation in shallow water using wind speed data SCIE SCOPUS

Cited 1 time in WEB OF SCIENCE Cited 2 time in Scopus
Title
Wind-dependent ambient noise level estimation in shallow water using wind speed data
Author(s)
Cho, Sungho; Kim, Sunhyo; Kang, Don Hyug; Park, Jisung
KIOST Author(s)
Cho, Sung Ho(조성호)KIM, Sun Hyo(김선효)Kang, Don Hyug(강돈혁)
Alternative Author(s)
조성호; 김선효; 강돈혁
Publication Year
2021-03-01
Abstract
Sound is generated by the wind at sea when waves break due to the interaction of air and sea surface. Bubbles are generated in the water when waves break due to the impact on the sea surface, and a large amount of small bubbles form a bubble cloud within a few meters below the sea level. Underwater bubbles generated by wind propagate sound in all directions, which greatly affects noise in the low frequency band (<1 kHz). The objective of this study is to understand the dependence of the fluctuation in generated noise on the strength of the wind speed in coastal waters. An acoustic experiment was conducted using a self-recording hydrophone to measure wind-driven noise levels (NLs). The measured NLs, which filtered out the effect of ship noise, were compared with the modeled wind NLs over time in terms of bubble cloud depth and wind-induced source level depending on the observed local wind speed. Although a small discrepancy was observed at low wind speeds, the trend of the change in both results was in good agreement. This finding suggests that the modeling technique for estimating the wind NL using wind speed can reflect the wind-driven environment of the ocean.
ISSN
0029-8018
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/39672
DOI
10.1016/j.oceaneng.2021.108653
Bibliographic Citation
OCEAN ENGINEERING, v.223, 2021
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Keywords
Underwater acoustic; Numerical modeling; Ambient noise; Wind-driven noise level
Type
Article
Language
English
Document Type
Article
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