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Technological Oceanography Volume II
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Technological Oceanography Volume II

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

Deadline for manuscript submissions: 25 June 2024 | Viewed by 8028

Special Issue Editors

Dr. Mikhail Emelianov

E-Mail Website1 Website2
Guest Editor
Instituto de Ciencias del Mar, CSIC, Barcelona, Spain
Interests: oceanic fronts and eddies; thermohaline structure and dynamics of water masses; in situ measurements
Special Issues, Collections and Topics in MDPI journals
Dr. Mingwei Lin

E-Mail Website
Guest Editor
State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
Interests: UUV autonomous docking technology and equipment; UUV delivery/recovery technology and equipment; deep-sea non-contact energy transmission technology and equipment

Special Issue Information

Dear Colleagues,

Advances in our understanding of phenomena in the ocean would not be possible without innovation. Identifying new phenomena, assessing environmental risks, and delivering observational data to modelers all require technological solutions. This Special Issue aims to present an oceanographic perspective on modern technology, allowing for a better understanding of the ocean in all its diversity, taking into account both societal and scientific needs. Original research papers and thematic reviews based on applications of novel technologies are encouraged, specifically, submissions related to topics such as:

  • Global-, meso-, submeso-, and small-scale oceanic processes;
  • Physical, chemical, biological, and dynamic characteristics of water masses;
  • Remote sensing and in situ observational methods;
  • Autonomous and remotely operated vehicles;
  • Moored and towed instrumentation carriers;
  • Drifters and profiling floats;
  • New ocean modeling techniques;
  • Oceanography instrumentation

Contributions presenting novel creative approaches in new sensors, observational programs, and sampling strategies are particularly welcomed.

Dr. Mikhail Emelianov
Dr. Mingwei Lin
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

  • thermohaline parameters
  • biogeochemical characteristics
  • ocean currents and circulation
  • remote sensing
  • sensors
  • robotics and autonomous stations
  • new ocean modeling techniques
  • new instrument development and application

Related Special Issue

Published Papers (5 papers)

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Research

21 pages, 21222 KiB  
Article
Experimental Results and Analysis of Midrange Underwater Asymmetric Wireless Power Transfer
by Yichi Chen, Wangqiang Niu, Yanhua Yang and Yassine Amirat
J. Mar. Sci. Eng. 2024, 12(4), 567; https://doi.org/10.3390/jmse12040567 - 27 Mar 2024
Viewed by 530
Abstract
The eddy current loss caused by the conductivity of seawater results in a relatively low transfer efficiency of underwater wireless power transfer (WPT). And the transfer distance of the current WPT system is relatively short. Considering that most of the wireless power transfer [...] Read more.
The eddy current loss caused by the conductivity of seawater results in a relatively low transfer efficiency of underwater wireless power transfer (WPT). And the transfer distance of the current WPT system is relatively short. Considering that most of the wireless power transfer devices in practical applications are asymmetric, few studies have explored the transfer characteristics of asymmetric midrange WPT in seawater. In this study, it is experimentally found that the load voltage and transfer efficiency of an asymmetric midrange WPT system with reduced primary balancing resistance in seawater are nearly twice as high as those of a symmetric one at a 50 cm transfer distance and a 410 kHz operation frequency with a 44.4 Ω load resistance. A new circuit model of the underwater WPT system with complex impedance and complex mutual inductance is then presented, and the load voltages predicted by the model are consistent highly with the experimental values; the model is then utilized for the explanation of the experimental observations. Changing the load resistance also improves the transfer efficiency of the system; however, the eddy current loss results in a relatively low transfer efficiency of 30.9% at an optimal load resistance of 90 Ω. The asymmetric midrange underwater WPT system can be applied in scenarios where the transfer distance is prioritized. Full article
(This article belongs to the Special Issue Technological Oceanography Volume II)
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24 pages, 6460 KiB  
Article
Ocean-Current-Motion-Model-Based Routing Protocol for Void-Avoided UASNs
by Zhicheng Tan, Yun Li, Haixin Sun, Shaohua Hong and Shanlin Sun
J. Mar. Sci. Eng. 2024, 12(4), 537; https://doi.org/10.3390/jmse12040537 - 24 Mar 2024
Viewed by 518
Abstract
An increasing number of scholars are researching underwater acoustic sensor networks (UASNs), including the physical layer, the protocols of the routing layer, the MAC layer, and the cross-layer. In UASNs, the ultimate goal is to transmit data from the seabed to the surface, [...] Read more.
An increasing number of scholars are researching underwater acoustic sensor networks (UASNs), including the physical layer, the protocols of the routing layer, the MAC layer, and the cross-layer. In UASNs, the ultimate goal is to transmit data from the seabed to the surface, and a well-performed routing protocol can effectively achieve this goal. However, the nodes in the network are prone to drift, and the topology is easily changed because of the movement caused by ocean currents, resulting in a routing void. The data cannot be effectively aggregated to the sink terminal on the surface. Thus, it is extremely important to determine how to find an alternative node as a relay node after node drift and how to rebuild a reliable transmission path. Although many relay routing protocols have been proposed to avoid routing voids, few of them consider the relay node selection between the outage probability and the ocean current model. Therefore, we propose an ocean current motion model based routing (OCMR) protocol to avoid the routing void in UASNs. We predicted underwater node movement based on the ocean current motion model and designed a protection radius to construct a limited search coverage based on the optimal outage probability; then, the node with the best fitness value within the protection radius was selected as the alternative relay node using an improved WOA. In OCMR, the problem of the routing void caused by ocean current motion is effectively suppressed. The simulation results show that, compared with VBF, HH-VBF, and QELAR, the proposed OCMR platform performs well in terms of the PDR (packet delivery ratio), average end-to-end delay, and average energy consumption. Full article
(This article belongs to the Special Issue Technological Oceanography Volume II)
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19 pages, 10659 KiB  
Article
CCGAN as a Tool for Satellite-Derived Chlorophyll a Concentration Gap Reconstruction
by Leon Ćatipović, Frano Matić, Hrvoje Kalinić, Shubha Sathyendranath, Tomislav Županović, James Dingle and Thomas Jackson
J. Mar. Sci. Eng. 2023, 11(9), 1814; https://doi.org/10.3390/jmse11091814 - 18 Sep 2023
Cited by 2 | Viewed by 844
Abstract
This work represents a modification of the Context Conditional Generative Adversarial Network as a novel implementation of a non-linear gap reconstruction approach of missing satellite-derived chlorophyll a concentration data. By adjusting the loss functions of the network to focus on the structural credibility [...] Read more.
This work represents a modification of the Context Conditional Generative Adversarial Network as a novel implementation of a non-linear gap reconstruction approach of missing satellite-derived chlorophyll a concentration data. By adjusting the loss functions of the network to focus on the structural credibility of the reconstruction, high numerical and structural reconstruction accuracies have been achieved in comparison to the original network architecture. The network also draws information from proxy data, sea surface temperature, and bathymetry, in this case, to improve the reconstruction quality. The implementation of this novel concept has been tested on the Adriatic Sea. The most accurate model reports an average error of 0.06mgm−3 and a relative error of 3.87%. A non-deterministic method for the gap-free training dataset creation is also devised, further expanding the possibility of combining other various oceanographic data to possibly improve the reconstruction efforts. This method, the first of its kind, has satisfied the accuracy requirements set by scientific communities and standards, thus proving its validity in the initial stages of conceptual utilisation. Full article
(This article belongs to the Special Issue Technological Oceanography Volume II)
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14 pages, 5190 KiB  
Article
Development of a Radially Coupled Wireless Charging System for Torpedo-Shaped Autonomous Underwater Vehicles
by Mingwei Lin, Ri Lin, Dejun Li and Runtian Duan
J. Mar. Sci. Eng. 2023, 11(6), 1180; https://doi.org/10.3390/jmse11061180 - 05 Jun 2023
Cited by 2 | Viewed by 1116
Abstract
Spiral coaxial coils are widely used in wireless charging systems for autonomous underwater vehicles (AUVs). However, these coils can generate axial electromagnetic interference that may adversely affect the electronic components contained within the AUV. In order to overcome this issue, this paper introduced [...] Read more.
Spiral coaxial coils are widely used in wireless charging systems for autonomous underwater vehicles (AUVs). However, these coils can generate axial electromagnetic interference that may adversely affect the electronic components contained within the AUV. In order to overcome this issue, this paper introduced a pair of radially coupled coils which implement distributed ferrite cores. The mathematical model of the curly coils was derived, and its geometry parameters were optimized through the use of genetic algorithms. ANSYS Maxwell was used to analyze and optimize the layout of the ferrite cores. A prototype of the AUV wireless charging system was presented, demonstrating a maximum efficiency of 94% at 2.2 kW in salt water. The rotation adaptivity of the system was also tested, revealing stable output performance within the possible roll-angle variations of the AUV. Full article
(This article belongs to the Special Issue Technological Oceanography Volume II)
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50 pages, 4752 KiB  
Article
Overview of Underwater 3D Reconstruction Technology Based on Optical Images
by Kai Hu, Tianyan Wang, Chaowen Shen, Chenghang Weng, Fenghua Zhou, Min Xia and Liguo Weng
J. Mar. Sci. Eng. 2023, 11(5), 949; https://doi.org/10.3390/jmse11050949 - 28 Apr 2023
Cited by 9 | Viewed by 4486
Abstract
At present, 3D reconstruction technology is being gradually applied to underwater scenes and has become a hot research direction that is vital to human ocean exploration and development. Due to the rapid development of computer vision in recent years, optical image 3D reconstruction [...] Read more.
At present, 3D reconstruction technology is being gradually applied to underwater scenes and has become a hot research direction that is vital to human ocean exploration and development. Due to the rapid development of computer vision in recent years, optical image 3D reconstruction has become the mainstream method. Therefore, this paper focuses on optical image 3D reconstruction methods in the underwater environment. However, due to the wide application of sonar in underwater 3D reconstruction, this paper also introduces and summarizes the underwater 3D reconstruction based on acoustic image and optical–acoustic image fusion methods. First, this paper uses the Citespace software to visually analyze the existing literature of underwater images and intuitively analyze the hotspots and key research directions in this field. Second, the particularity of underwater environments compared with conventional systems is introduced. Two scientific problems are emphasized by engineering problems encountered in optical image reconstruction: underwater image degradation and the calibration of underwater cameras. Then, in the main part of this paper, we focus on the underwater 3D reconstruction methods based on optical images, acoustic images and optical–acoustic image fusion, reviewing the literature and classifying the existing solutions. Finally, potential advancements in this field in the future are considered. Full article
(This article belongs to the Special Issue Technological Oceanography Volume II)
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