There is increasing concern about the effects of underwater sound on marine life. However, the science of sound is challenging. The Discovery of Sound in the Sea (DOSITS) Web site ( http://www.dosits.org ) was designed to provide comprehensive scientific information on underwater sound for the public and educational and media professionals. It covers the physical science of underwater sound and its use by people and marine animals for a range of tasks. Celebrating 10 years of online resources, DOSITS continues to develop new material and improvements, providing the best resource for the most up-to-date information on underwater sound and its potential effects.
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http://dx.doi.org/10.1007/978-1-4939-2981-8_148 | DOI Listing |
J Acoust Soc Am
December 2024
Key Laboratory of Underwater Acoustic Communication and Marine Information Technology of the Ministry of Education, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361005, China.
Although air sinuses are prevalent in odontocetes and are an integral component of their sound reception system, the acoustic function of these air-filled structures remains largely unknown. To address this, we developed a numerical model using computed tomography data from a Yangtze finless porpoise (Neophocaena asiaeorientalis asiaeorientalis) to investigate the role of the air sinuses in sound reception. By comparing sound reception characteristics between model cases with and without the air sinuses, we found that the air sinuses improved sound reception directivity.
View Article and Find Full Text PDFJ Acoust Soc Am
December 2024
Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts 02543, USA.
This article presents a spatial environmental inversion scheme using broadband impulse signals with deep learning (DL) to model a single spatially-varying sediment layer over a fixed basement. The method is applied to data from the Seabed Characterization Experiment 2022 (SBCEX22) in the New England Mud-Patch (NEMP). Signal Underwater Sound (SUS) explosive charges generated impulsive signals recorded by a distributed array of bottom-moored hydrophones.
View Article and Find Full Text PDFSci Rep
December 2024
Deutsches Meeresmuseum, Katharinenberg 14 - 20, 18439, Stralsund, Germany.
Many animals alternate between different media, such as air and water, thanks to specific adaptations. Among birds, penguins (Sphenisciformes) have the most extreme morphological, physiological, and behavioural adaptations to their amphibious lifestyle. Their auditory perception of sound, potentially matching different impedances in air and under water, is largely unknown particularly in terms of whether their underwater adaptations may have affected their in-air hearing capacity.
View Article and Find Full Text PDFJASA Express Lett
December 2024
National Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, China.
It is difficult to separate and estimate the intersected group velocity dispersion curves for different normal modes when the frequency is lower than the cutoff frequency of water column. To address this issue, an estimation method based on the joint processing of sound pressure (P) and vertical particle velocity (Vz) is proposed in this paper. Theoretical analysis shows that the amplitudes of P and Vz corresponding to the nth normal mode exhibit a complementary relationship in the certain frequency band, providing a theoretical basis for the method.
View Article and Find Full Text PDFJ Acoust Soc Am
December 2024
Engineering Department, Jacksonville University, Jacksonville, Florida 32211, USA.
Underwater noise data were collected from 84 pile drives during bridge construction at various sites in Florida. These data were used to develop an empirically based model for underwater transmission loss associated with root mean squared, peak, and sound exposure level values. The model was verified using readings from other datasets as well as data from this study, and it appeared to reproduce reported transmission loss coefficient values well when data were curated to match data used in the empirical model's development and limited to situations where robust data were used in model development.
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