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Advanced Research in Marine Environmental and Fisheries Acoustics
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Advanced Research in Marine Environmental and Fisheries Acoustics

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Marine Environmental Science".

Deadline for manuscript submissions: 5 August 2025 | Viewed by 2101

Special Issue Editors

Dr. Shima Abadi

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Guest Editor
School of Oceanography, University of Washington, Seattle, WA, USA
Interests: underwater acoustics; ocean soundscape; distributed acoustic sensing (das); beamforming; sound source localization
Dr. Kyounghoon Lee

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Guest Editor
Division of Marine Production System Management, Pukyong National University, Busan 48513, Republic of Korea
Interests: acoustic engineering; instrumentation engineering; aquaculture engineering; fisheries acoustics; fish behavior
Special Issues, Collections and Topics in MDPI journals
Dr. Dezhang Chu

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Guest Editor
Former Affiliation, NOAA Northwest Fisheries Science Center, Seattle, WA, USA
Interests: marine acoustics; fisheries acoustics; signal processing; seafloor characterization and classification

Special Issue Information

Dear Colleagues,

Understanding the underwater acoustic environment is crucial for assessing the impact of anthropogenic noise, studying marine biodiversity, and monitoring marine ecosystems. This Special Issue aims to showcase cutting-edge research in marine environmental acoustics, encompassing diverse topics such as the impact of anthropogenic noise on marine life, innovative acoustic monitoring techniques, and the role of acoustics in understanding oceanic processes and ecosystem dynamics. Building upon a rich history of acoustic exploration, this Special Issue highlights the evolution of marine environmental acoustics, tracing its roots from pioneering studies in marine mammal communication to contemporary advancements in underwater acoustic technology and its applications in marine conservation and resource management.

Dr. Shima Abadi
Dr. Kyounghoon Lee
Dr. Dezhang Chu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • underwater acoustics
  • marine bioacoustics
  • acoustic monitoring systems
  • underwater soundscapes

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

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Research

13 pages, 2706 KiB  
Article
Method for Automatic Path Planning of Underwater Vehicles Considering Ambient Noise Fields
by Gengming Zhang, Lihua Zhang, Yitao Wang, Chunyu Kang, Yinfei Zhou, Xiaodong Ma, Zeyuan Dai and Shaxige Wu
J. Mar. Sci. Eng. 2025, 13(6), 1020; https://doi.org/10.3390/jmse13061020 - 23 May 2025
Abstract
To tackle the problem of existing underwater vehicle covert path planning methods ignoring ambient noise fields, an automated path planning method based on a statistically characterized environmental noise field is proposed. The method involves constructing a background noise spectrum level model using Automatic [...] Read more.
To tackle the problem of existing underwater vehicle covert path planning methods ignoring ambient noise fields, an automated path planning method based on a statistically characterized environmental noise field is proposed. The method involves constructing a background noise spectrum level model using Automatic Identification System (AIS) data and wind speed data. Then, a Range-Dependent Acoustic Model (RAM) is integrated to generate a statistically significant 10th percentile noise field. The result is subsequently incorporated into the sonar equation to develop a noise-considerate concealment effectiveness model, which serves as input for a noise-considerate A* path planning algorithm. Comparative analyses of path planning results demonstrate that, within the studied maritime domain, the noise-prioritized path exhibits a statistically significant reduction in the median detection range by approximately 17%, a 50% reduction in the minimum detection range, and a 20% reduction in the maximum detection range, relative to alternative paths planned with a fixed noise level assumption. Full article
(This article belongs to the Special Issue Advanced Research in Marine Environmental and Fisheries Acoustics)
17 pages, 4035 KiB  
Article
A Novel Method for Inverting Deep-Sea Sound-Speed Profiles Based on Hybrid Data Fusion Combined with Surface Sound Speed
by Qiang Yuan, Weiming Xu, Shaohua Jin, Xiaohan Yu, Xiaodong Ma and Tong Sun
J. Mar. Sci. Eng. 2025, 13(4), 787; https://doi.org/10.3390/jmse13040787 - 15 Apr 2025
Viewed by 298
Abstract
Sound speed profiles (SSPs) must be detected simultaneously to perform a multibeam depth survey. Accurate real-time sound speed profile (SSP) acquisition remains a critical challenge in deep-sea multibeam bathymetry due to the limitations regarding direct measurements under harsh operational conditions. To address the [...] Read more.
Sound speed profiles (SSPs) must be detected simultaneously to perform a multibeam depth survey. Accurate real-time sound speed profile (SSP) acquisition remains a critical challenge in deep-sea multibeam bathymetry due to the limitations regarding direct measurements under harsh operational conditions. To address the issue, we propose a joint inversion framework integrating World Ocean Atlas 2023 (WOA23) temperature–salinity model data, historical in situ SSPs, and surface sound speed measurements. By constructing a high-resolution regional sound speed field through WOA23 and historical SSP fusion, this method effectively mitigates spatiotemporal heterogeneity and seasonal variability. The artificial lemming algorithm (ALA) is introduced to optimize the inversion of empirical orthogonal function (EOF) coefficients, enhancing global search efficiency while avoiding local optimization. An experimental validation in the northwest Pacific Ocean demonstrated that the proposed method has a better performance than that of conventional substitution, interpolation, and WOA23-only approaches. The results indicate that the mean absolute error (MAE), root mean square error (RMSE), and maximum error (ME) of SSP reconstruction are reduced by 41.5%, 46.0%, and 49.4%, respectively. When the reconstructed SSPs are applied to multibeam bathymetric correction, depth errors are further reduced to 0.193 m (MAE), 0.213 m (RMSE), and 0.394 m (ME), effectively suppressing the “smiley face” distortion caused by sound speed gradient anomalies. The dynamic selection of the first six EOF modes balances computational efficiency and reconstruction fidelity. This study provides a robust solution for real-time SSP estimation in data-scarce deep-sea environments, particularly for underwater autonomous vehicles. This method effectively mitigates the seabed distortion caused by missing real-time SSPs, significantly enhancing the accuracy and efficiency of deep-sea multibeam surveys. Full article
(This article belongs to the Special Issue Advanced Research in Marine Environmental and Fisheries Acoustics)
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14 pages, 21258 KiB  
Article
Evaluating the Sounds Produced by Pacific Cod (Gadus macrocephalus, Gadidae) During the Spawning Season
by Sungho Cho, Donhyug Kang, Hansoo Kim, Mira Kim and Sunhyo Kim
J. Mar. Sci. Eng. 2025, 13(2), 378; https://doi.org/10.3390/jmse13020378 - 18 Feb 2025
Viewed by 465
Abstract
Marine organisms produce sounds for various purposes, including spawning, avoidance, and migration, with each species exhibiting unique acoustic characteristics. This study observed the grunt sounds of Pacific cod (Gadus macrocephalus) during the spawning season for the first time using passive acoustic [...] Read more.
Marine organisms produce sounds for various purposes, including spawning, avoidance, and migration, with each species exhibiting unique acoustic characteristics. This study observed the grunt sounds of Pacific cod (Gadus macrocephalus) during the spawning season for the first time using passive acoustic monitoring (PAM) techniques. Acoustic signals were recorded continuously for about one month at an aquaculture fish farm in Korea. From these recordings, 1208 grunt sounds of Pacific cod were extracted using an automatic grunt detector, and statistical time–frequency parameters were estimated. On average, the grunt sounds consisted of 29 pulses at 6.5 ms intervals within a duration of 205 ms, with a pulse rate of 122.6 per second. The periodic pulse-type signal creates multiple harmonic frequencies on the spectrogram, characterized by time-harmonic modulation with a slope of −240 Hz/s. The mth harmonic frequency distribution ranged from 162 to 822 Hz, with a median source level of 122.6 dB re 1 μPa at 1 m. These findings provide essential scientific data for understanding Pacific cod communication during the spawning season and can aid in identifying spawning sites, conserving habitats, and managing biological resources, contributing to marine ecosystem protection and sustainable management. Full article
(This article belongs to the Special Issue Advanced Research in Marine Environmental and Fisheries Acoustics)
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13 pages, 8259 KiB  
Article
Species Identification and Frequency Characteristic of Japanese Anchovy (Engraulis japonicus) Using Hydro-Acoustics
by Geunchang Park, Tohru Mukai and Kyounghoon Lee
J. Mar. Sci. Eng. 2025, 13(2), 291; https://doi.org/10.3390/jmse13020291 - 4 Feb 2025
Viewed by 795
Abstract
In this study, the KRM (Kirchhoff-ray mode) model was used to identify the acoustic scattering characteristics of anchovies according to frequency, and the school detection method and dB-difference method were used to identify the acoustic signals of Japanese anchovy on the echogram. The [...] Read more.
In this study, the KRM (Kirchhoff-ray mode) model was used to identify the acoustic scattering characteristics of anchovies according to frequency, and the school detection method and dB-difference method were used to identify the acoustic signals of Japanese anchovy on the echogram. The TS (target strength) values of anchovies were checked in the echograms of areas where more than 95% of anchovies were collected to establish frequency range. In addition, the parameter values were set by estimating the size of the anchovy school from the echogram, and the echo signal of the anchovy was identified by school detection using the set parameter values. The results showed that the average TS fluctuations of anchovies were larger for small-sized anchovies (5.5 cm) than for large-sized anchovies (16.9 cm), but TS fluctuations after frequency 130 kHz showed similar trends. Species identification analysis identified only the echo signal of anchovies in the echograms, with depths of 20–70 m for anchovies and 90–110 m for other fish species. Full article
(This article belongs to the Special Issue Advanced Research in Marine Environmental and Fisheries Acoustics)
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