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Innovative Marine Environment Monitoring, Management and Assessment
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Innovative Marine Environment Monitoring, Management and Assessment

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: 20 May 2024 | Viewed by 2882

Special Issue Editors

Dr. Jinping Cheng

E-Mail Website
Guest Editor
Department of Science and Environmental Studies, The Education University of Hong Kong, Hong Kong, China
Interests: ecotoxicology; ecology and conservation; pollution monitoring and assessment
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Huayong Yang

E-Mail Website
Guest Editor
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China
Interests: ocean observation; marine equipment; optical fiber sensing; acoustic
Dr. Liang Fang

E-Mail Website
Guest Editor
Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Guangzhou, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China
Interests: marine mammal ecology and conservation; passive acoustic monitoring for ocean animals; ocean soundscape/acoustic diversity; ocean noise pollution

Special Issue Information

Dear Colleagues,

The marine environment is faced with numerous threats, including pollution, overfishing, climate change, and habitat destruction. Effective monitoring, management, and assessment of the marine environment are essential to ensure its sustainability and protect biodiversity. This Special Issue aims to provide a platform for researchers and practitioners to share their latest findings and innovative solutions in the field of marine environment monitoring, management, and assessment. We welcome original research articles, reviews, and perspectives on the topics mentioned above. We particularly encourage submissions that present innovative solutions and techniques for monitoring, managing, and assessing the marine environment that are non-invasive and have a low negative impact on marine ecosystems. The scope of the Special Issue includes, but is not limited to, the following topics:

  • Environmental DNA Metabarcoding for Environmental Monitoring and Management;
  • Marine Monitoring Using Optical Fiber Sensors and Acoustic Detection Systems;
  • Big Data and Artificial Intelligence for Enhanced Environmental Assessment and Management;
  • Novel Assessment and Management Solutions for the Sustainable Use of Marine Resources;
  • Marine Biodiversity Monitoring, Assessment Conservation, and Restoration.

Dr. Jinping Cheng
Prof. Dr. Huayong Yang
Dr. Liang Fang
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

  • non-invasive monitoring
  • environmental DNA
  • optical fiber sensors
  • acoustic detection system
  • artificial intelligence

Published Papers (3 papers)

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Research

13 pages, 8353 KiB  
Article
The Mitigation of Mutual Coupling Effects in Multi-Beam Echosounder Calibration under Near-Field Conditions
by Wanyuan Zhang, Weijia Yuan, Gongwu Sun, Tengjiao He, Junqi Qu and Chao Xu
J. Mar. Sci. Eng. 2024, 12(1), 125; https://doi.org/10.3390/jmse12010125 - 08 Jan 2024
Viewed by 755
Abstract
The advancement of unmanned platforms is driving the miniaturization and cost reduction of the multi-beam echosounder (MBES). In the process of MBES array calibration, the mutual coupling significantly impacts the performance of parameter estimation. We propose a correction method to mitigate the mutual [...] Read more.
The advancement of unmanned platforms is driving the miniaturization and cost reduction of the multi-beam echosounder (MBES). In the process of MBES array calibration, the mutual coupling significantly impacts the performance of parameter estimation. We propose a correction method to mitigate the mutual coupling effects in the calibration of MBES acoustic array. Initially, a near-field focused beamforming model is established to assess the influence of mutual coupling. Subsequently, the covariance matrix in the frequency domain is constructed to enhance algorithm efficiency and simplify solution procedures. This construction eliminates the need for a low-pass filtering step after heterodyning through extracting peak values near zero frequency in the signal frequency domain. Meanwhile, the Toeplitz property is leveraged to render the estimation results independent of the mutual coupling matrix. Finally, the mutual coupling coefficients and the direction of arrival (DOA) are joint-estimated and the Cramér–Rao bound is derived. The presented method effectively addresses the engineering challenge of MBES mutual coupling calibration. Additionally, the performance of the proposed method is verified through the measured data in simulation and tank experiments. Full article
(This article belongs to the Special Issue Innovative Marine Environment Monitoring, Management and Assessment)
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17 pages, 8372 KiB  
Article
Depth Spatial Characterization of Marine Environmental Noise in the Zengmu Basin
by Xiaoming Cui, Siyuan Cang, Chao Li, Danling Tang, Qing Hu and Huayong Yang
J. Mar. Sci. Eng. 2023, 11(12), 2226; https://doi.org/10.3390/jmse11122226 - 24 Nov 2023
Viewed by 677
Abstract
Based on the measured data obtained from an array of optical fiber hydrophones, this paper analyzes and interprets the depth spatial spectrum characteristics, correlation characteristics, and vertical directionality of marine environmental noise in the Zengmu Basin. The analysis is conducted within the frequency [...] Read more.
Based on the measured data obtained from an array of optical fiber hydrophones, this paper analyzes and interprets the depth spatial spectrum characteristics, correlation characteristics, and vertical directionality of marine environmental noise in the Zengmu Basin. The analysis is conducted within the frequency range of 20 Hz to 2500 Hz. Additionally, the statistical characteristics of the probability density distribution of environmental noise in the Zengmu Basin were studied and analyzed. The findings indicate that the predominant ambient noise in the low-frequency range (less than 400 Hz) in the Zengmu Basin is primarily attributed to distant sources, commonly identified as ship radiation noise. In the high-frequency band (greater than 400 Hz), the marine ambient noise is primarily derived from the sea surface, predominantly in the form of wind-generated noise. In the frequency range of 25–1600 Hz, examined in this study, the power spectral density exhibits an average decrease of over 3 dB and a maximum decrease of over 5 dB with each doubling of frequency. When the frequency is below 400 Hz, there is a higher vertical spatial correlation to ambient noise. The vertical directivity of the noise energy is horizontal, meaning that it is perpendicular to the vertical array direction. Additionally, the probability distribution of the noise level approximately follows the Burr distribution. When the frequency exceeds 400 Hz, there is a low vertical spatial correlation to noise. The vertical directivity of environmental noise exhibits distinct grooves in the horizontal direction, and the probability distribution of the noise spectrum level generally follows a normal distribution. Full article
(This article belongs to the Special Issue Innovative Marine Environment Monitoring, Management and Assessment)
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25 pages, 46376 KiB  
Article
High Value of Information Guided Data Enhancement for Heterogeneous Underwater Wireless Sensor Networks
by Yun Li, Jie Bai, Yan Chen, Xingyu Lu and Peiguang Jing
J. Mar. Sci. Eng. 2023, 11(9), 1654; https://doi.org/10.3390/jmse11091654 - 24 Aug 2023
Cited by 1 | Viewed by 701
Abstract
Ensuring the freshness of high Value of Information (VoI) data has a significant practice meaning for marine observations and emergencies. The traditional forward method with an auv-aid is used to ensure the freshness of high VoI data. However, the methods suffer from two [...] Read more.
Ensuring the freshness of high Value of Information (VoI) data has a significant practice meaning for marine observations and emergencies. The traditional forward method with an auv-aid is used to ensure the freshness of high VoI data. However, the methods suffer from two issues: an insufficient high VoI data throughput and random forwarding for cluster heads (CHs). The AUV (Autonomous Underwater Vehicle) with limited energy cannot meet the demand for the random generation of high VoI data. Low VoI data packets compete with high VoI data packets for channels, resulting in an insufficient high VoI data throughput and a low freshness. To address the above issues, we propose the Data Access Channel Scheme based on High Value of Information (DACS-HVOI), which is suitable for prioritizing the transmission packets with a high VoI. First, according to the level of VoI, the packets are divided into K classes, and the packets that are collected and forwarded by the AUV are defined as the highest K+1 class. Second, based on prior knowledge in the network, a Markov chain algorithm-based method is employed to predict which nodes should preferentially use the channel, to avoid conflict between a low and high VoI. Third, based on the stochastic fluid theory, a multilevel queueing system for CHs are constructed to avoid random forwarding. Last, compared with state-of-art protocols, experimental simulation shows that the proposed scheme has a low latency and high network throughput, while improving the throughput of high-VoI packets and ensuring the priority transmission of high-VoI packets. Full article
(This article belongs to the Special Issue Innovative Marine Environment Monitoring, Management and Assessment)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Innovative Integration of Environmental DNA Metabarcoding, Optical Fiber Sensors, and Acoustic Detection Systems as a Non-destructive Monitoring Platform for Better Environmental Management
Authors: Dr. Jinping Cheng; Prof. Dr. Huayong Yang; Dr. Liang Fang
Affiliation: Assistant Professor, Department of Science and Environmental Studies, The Education University of Hong Kong, New Territories, Hong Kong Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Guangzhou, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China

Title: Development, Testing, and Sea Trials of an Advanced High-Sensitivity Fiber-Optic Vector Acoustic Detection System
Authors: Chao Li1,2; Xiaoming Cui1; Siyuan Cang1; Ziwei Huang1; Haocai Huang; Yuejin Li1; Huayong Yang1*
Affiliation: 1Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China 2Ocean College, Zhejiang University, Zhoushan, China
Abstract: High-sensitivity acoustic detection in deep-sea environments is crucial for monitoring ocean acoustic fields, detecting underwater targets, exploring seabed resources, and conducting underwater acoustics research. To address the challenges of long-term, high-sensitivity vector acoustic detection in extreme environments such as deep-sea cold seeps and underwater targets, we have developed, tested, and validated a fiber-optic vector acoustic detection submersible system designed for depths of up to 2000 meters. This submersible system is based on fiber-optic vector hydrophones and synchronously captures the vector information of acoustic pressure and particle acceleration in the spatially coincident field around the probe. It exhibits excellent directionality and can autonomously operate for extended periods with stability. The core components of the system have undergone pressure tests in static water to validate their pressure resistance, and pool tests have assessed the system's deployment and recovery capabilities. A continuous 9-day shallow-water trial in the South China Sea recorded clear data on ocean background noise, numerous explosive sources, air gun signals, and UW350 signals. These trials demonstrate the system's capability to operate effectively at depths of 2000 meters for extended periods and to acquire target signals with high quality, showcasing promising applications in underwater defense and target detection.

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