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4.4
2.7
Journals
JMSE
Wake-Responsive AUV Guidance Assisted by Passive Sonar Measurements
Long-Term Evolution of Significant Wave Height in the Eastern Tropical Atlantic between 1940 and 2022 Using the ERA5 Dataset
Journal Description
Journal of Marine Science and Engineering
Journal of Marine Science and Engineering
is an international, peer-reviewed, open access journal on marine science and engineering, published monthly online by MDPI. The Australia New Zealand Marine Biotechnology Society (ANZMBS) is affiliated with JMSE and their members receive discounts on the article processing charges.
Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
High Visibility: indexed with Scopus, SCIE (Web of Science), GeoRef, Inspec, AGRIS, and other databases.
Journal Rank: JCR - Q1 (Engineering, Marine) / CiteScore - Q2 (Civil and Structural Engineering)
Rapid Publication: manuscripts are peer-reviewed and a first
decision is provided to authors approximately 16.9 days after submission; acceptance
to publication is undertaken in 2.6 days (median values for papers published in
this journal in the first half of 2024).
Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
Impact Factor:
2.7 (2023);
5-Year Impact Factor:
2.8 (2023)
subject
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Journal Flyer
Open Access
ISSN: 2077-1312
Latest Articles
22 pages, 14313 KiB
Open AccessArticle
The Production Analysis and Exploitation Scheme Design of a Special Offshore Heavy Oil Reservoir—First Offshore Artificial Island with Thermal Recovery
by
Guodong Cui, Zheng Niu, Zhe Hu, Xueshi Feng and Zehao Chen
J. Mar. Sci. Eng. 2024, 12(7), 1186; https://doi.org/10.3390/jmse12071186 (registering DOI) - 15 Jul 2024
Abstract
More and more offshore heavy oil resources are discovered and exploited as the focus of the oil and gas industry shifts from land to sea. However, unlike onshore heavy oil reservoirs, offshore heavy oil reservoirs not only have active edge and bottom water
[...] Read more.
More and more offshore heavy oil resources are discovered and exploited as the focus of the oil and gas industry shifts from land to sea. However, unlike onshore heavy oil reservoirs, offshore heavy oil reservoirs not only have active edge and bottom water but also have different exploitation methods. In this paper, a typical special heavy oil reservoir in China was analyzed in detail, based on geology–reservoir–engineering integration technology. Firstly, it is identified as a self-sealing bottom water heavy oil reservoir by analyzing its geological characteristics and hydrocarbon accumulation mechanism. Secondly, the water cut is initially controlled by oil viscosity, but subsequently, by reservoir thickness through the analysis of oil and water production data. Thirdly, the bottom oil–water contact of the reservoir was re-corrected to build an accurate 3D geological model, based on the production history matching of a single well and the whole reservoir. Lastly, a scheme of thermal production coupled with cold production was proposed to exploit this special reservoir, and the parameters of steam, N2, and CO2 injection and production were optimized to predict oil production. This work can provide a valuable development model for the efficient exploitation of similar offshore special heavy oil reservoirs.
Full article
(This article belongs to the Section Marine Energy)
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 Figure 1 15 pages, 5194 KiB Open AccessArticle The Effect of Corner Structure on the Optimisation of Fishable Flow Field in Aquaculture Tanks by Fan Zhang, Mingchao Cui, Huang Liu and Chen Zhang J. Mar. Sci. Eng. 2024, 12(7), 1185; https://doi.org/10.3390/jmse12071185 (registering DOI) - 15 Jul 2024 Abstract As coastal waters face constraints such as the deterioration of the aquaculture environment and limitations on the scale of operation, aquaculture will move towards the deep and distant sea. Large-scale aquaculture vessels are a new method of deep-sea aquaculture, and improving the utilisation [...] Read more. As coastal waters face constraints such as the deterioration of the aquaculture environment and limitations on the scale of operation, aquaculture will move towards the deep and distant sea. Large-scale aquaculture vessels are a new method of deep-sea aquaculture, and improving the utilisation efficiency of aquaculture tanks to ensure the best growth conditions for fish inside while ensuring the efficient discharge of particulate matter in these tanks will affect the productivity of aquaculture and the profitability of aquaculture vessels. This study investigated the effects of the tank structure ratio on the flow field characteristics and particulate removal efficiency in the aquaculture tanks of an aquaculture vessel. Numerical simulations of the flow field characteristics in the aquaculture tanks of an 8000 t-class aquaculture vessel at anchor were conducted using the FLOW-3D software to quantitatively evaluate the effects of the corner ratio on the fishability of aquaculture tanks and the efficiency of particulate emission using the parameters related to flow velocity, turbulence intensity, capacity utilisation rate, and particulate removal efficiency. The simulation results show that the tanks with corner structures have better flow field characteristics, which include a higher flow velocity, turbulence intensity, and discharge effect. When the corner length is more than 1/3 of the tank length, increasing the corner distance does not significantly enhance the optimisation of the flow field characteristics in the tank. Overall, this study’s results provide a reference basis for the structural design and optimisation of aquaculture tanks in aquaculture vessels. Full article (This article belongs to the Special Issue New Techniques and Equipment in Large Offshore Aquaculture Platform) ►▼ Show Figures Figure 1 13 pages, 7247 KiB Open AccessArticle Research on Collapse Testing of Nuclear Icebreaker Reactor Hull Structure Based on Distortion Similarity Theory by Yi Lin, Ruiqi Cheng, Lizhi Chen, Xiangshao Kong and Zhiyong Pei J. Mar. Sci. Eng. 2024, 12(7), 1184; https://doi.org/10.3390/jmse12071184 (registering DOI) - 15 Jul 2024 Abstract In this study, the finite element method combined with the model test method are used to investigate the ultimate strength of a target ship reactor hull structure under a pure bending load. Based on the distortion similarity theory and nonlinear similarity method, a [...] Read more. In this study, the finite element method combined with the model test method are used to investigate the ultimate strength of a target ship reactor hull structure under a pure bending load. Based on the distortion similarity theory and nonlinear similarity method, a scale model of the actual ship reactor hull structure is designed and the model collapse test is conducted. The ultimate bending moment obtained by the model test is transformed to the actual ship through the similarity transformation relationship and compared with the nonlinear finite element analysis result of the actual structure. The results are consistent with each other, which indicates that the collapse characteristics of the actual ship reactor hull structure can be better forecasted using the model test results when the test model is designed based on the nonlinear similarity method and distortion similarity theory. Full article (This article belongs to the Special Issue Safety and Reliability of Ship and Ocean Engineering Structures) ►▼ Show Figures Figure 1 18 pages, 3278 KiB Open AccessArticle Study on the Active Wave Absorption Methods in Lattice Boltzmann Numerical Wave Tank by Guangwei Liu, Qinghe Zhang, Jinfeng Zhang and Lin Xie J. Mar. Sci. Eng. 2024, 12(7), 1183; https://doi.org/10.3390/jmse12071183 (registering DOI) - 14 Jul 2024 Abstract The active wave absorption method has been widely employed in numerical wave tanks. The wave absorption performance of active wave absorption methods is investigated within a numerical wave tank based on a lattice Boltzmann method. Specifically, two active wave absorption methods—the classical shallow [...] Read more. The active wave absorption method has been widely employed in numerical wave tanks. The wave absorption performance of active wave absorption methods is investigated within a numerical wave tank based on a lattice Boltzmann method. Specifically, two active wave absorption methods—the classical shallow water method and the extended range method—are compared. By analyzing the contributions of free and bound components in the harmonics of the reflected wave to the reflection coefficient, we found that the extended-range method is more effective than the shallow-water method in absorbing the reflection of the primary harmonic. Moreover, a wave absorption performance index is proposed to carry out rapid evaluation of active wave absorption method performance without resorting to numerical simulations. Our findings indicate that the performance index ratio of two active wave absorption methods closely mirrored their reflection coefficient ratio. Notably, the extended-range method significantly reduces the performance index in both shallow and deep waters, exhibiting superior active absorption performance within the lattice Boltzmann method-based numerical wave tank context compared to the shallow-water method. Full article (This article belongs to the Section Coastal Engineering) ►▼ Show Figures Figure 1 attachment Supplementary material: Supplementary File 1 (ZIP, 166 KiB) 19 pages, 2612 KiB Open AccessArticle Ommastrephes caroli (Cephalopoda: Ommastrephidae) from the Adriatic Sea: Morphometry, Age, and Genetic Characterization by Mirela Petrić, Marija Dadić, Damir Roje, David Udovičić, Rino Stanić and Željka Trumbić J. Mar. Sci. Eng. 2024, 12(7), 1182; https://doi.org/10.3390/jmse12071182 (registering DOI) - 14 Jul 2024 Abstract This study gives the first data on the body and beak morphometric characteristics, age, and genetic structure of neon flying squid, a rarely caught cephalopod in the Adriatic Sea. We identified specimens as recently resurrected Ommastrephes caroli species using two mitochondrial markers, [...] Read more. This study gives the first data on the body and beak morphometric characteristics, age, and genetic structure of neon flying squid, a rarely caught cephalopod in the Adriatic Sea. We identified specimens as recently resurrected Ommastrephes caroli species using two mitochondrial markers, 16S ribosomal RNA gene and cytochrome c oxidase subunit I gene. Overall, 23 juveniles (3 females, 3 males, and 17 unsexed), with a dorsal mantle range of 65–152 mm, were caught in September 2020 in the waters of the Korčula Channel, island of Palagruža, and island of Jabuka, thus providing the most abundant sample of this species in the Mediterranean waters. The length–weight relationship showed an isometric growth. The results of the beak/length regressions suggest hood length is a useful characteristic for biomass estimation studies, as it showed a good linear fit to the dorsal mantle length. Statolith growth increments were easily visible and statolith microstructure analysis was successfully used to determine the age of 22 individuals. The estimated age ranged from 36 to 64 days (mean = 48 days). The back-calculation analysis showed that the squid hatched during July and August 2020, indicating that O. caroli spawns during the warmer, summertime period. Considering the size and age of the caught individuals, the Adriatic Sea could represent a potential feeding ground for this species. The genetic structure analyses indicate the existence of separate Atlantic and Mediterranean/Adriatic subclusters; however, this warrants further investigation. Full article (This article belongs to the Section Marine Biology) 26 pages, 1104 KiB Open AccessReview The Diversity of Artificial Intelligence Applications in Marine Pollution: A Systematic Literature Review by Jia Ning, Shufen Pang, Zainal Arifin, Yining Zhang, U. P. K. Epa, Miaomiao Qu, Jufen Zhao, Feiyang Zhen, Abhiroop Chowdhury, Ran Guo, Yuncheng Deng and Haiwen Zhang J. Mar. Sci. Eng. 2024, 12(7), 1181; https://doi.org/10.3390/jmse12071181 (registering DOI) - 14 Jul 2024 Abstract Marine pollution, a major disturbance to the sustainable use of oceans, is becoming more prevalent around the world. Multidimensional and sustainable ocean governance have become increasingly focused on managing, reducing, and eliminating marine pollution. Artificial intelligence has been used more and more in [...] Read more. Marine pollution, a major disturbance to the sustainable use of oceans, is becoming more prevalent around the world. Multidimensional and sustainable ocean governance have become increasingly focused on managing, reducing, and eliminating marine pollution. Artificial intelligence has been used more and more in recent years to monitor and control marine pollution. This systematic literature review, encompassing studies from the Web of Science and Scopus databases, delineates the extensive role of artificial intelligence in marine pollution management, revealing a significant surge in research and application. This review aims to provide information and a better understanding of the application of artificial intelligence in marine pollution. In marine pollution, 57% of AI applications are used for monitoring, 24% for management, and 19% for prediction. Three areas are emphasized: (1) detecting and responding to oil pollution, (2) monitoring water quality and its practical application, and (3) monitoring and identifying plastic pollution. Each area benefits from the unique capabilities of artificial intelligence. If the scientific community continues to explore and refine these technologies, the convergence of artificial intelligence and marine pollution may yield more sophisticated solutions for environmental conservation. Although artificial intelligence offers powerful tools for the treatment of marine pollution, it does have some limitations. Future research recommendations include (1) transferring experimental outcomes to industrial applications in a broader sense; (2) highlighting the cost-effective advantages of AI in marine pollution control; and (3) promoting the use of AI in the legislation and policy-making about controlling marine pollution. Full article (This article belongs to the Special Issue Impact of Marine Pollution on Ecosystems) 16 pages, 4998 KiB Open AccessArticle A YOLOv7-Based Method for Ship Detection in Videos of Drones by Quanzheng Wang, Jingheng Wang, Xiaoyuan Wang, Luyao Wu, Kai Feng and Gang Wang J. Mar. Sci. Eng. 2024, 12(7), 1180; https://doi.org/10.3390/jmse12071180 (registering DOI) - 14 Jul 2024 Abstract With the rapid development of the shipping industry, the number of ships is continuously increasing, and maritime accidents happen frequently. In recent years, computer vision and drone flight control technology have continuously developed, making drones widely used in related fields such as maritime [...] Read more. With the rapid development of the shipping industry, the number of ships is continuously increasing, and maritime accidents happen frequently. In recent years, computer vision and drone flight control technology have continuously developed, making drones widely used in related fields such as maritime target detection. Compared to the cameras fixed on ships, a greater flexibility and a wider field of view is provided by cameras equipped on drones. However, there are still some challenges in high-altitude detection with drones. Firstly, from a top-down view, the shapes of ships are very different from ordinary views. Secondly, it is difficult to achieve faster detection speeds because of limited computing resources. To solve these problems, we propose YOLOv7-DyGSConv, a deep learning-based model for detecting ships in real-time videos captured by drones. The model is built on YOLOv7 with an attention mechanism, which enhances the ability to capture targets. Furthermore, the Conv in the Neck of the YOLOv7 model is replaced with the GSConv, which reduces the complexity of the model and improves the detection speed and detection accuracy. In addition, to compensate for the scarcity of ship datasets in top-down views, a ship detection dataset containing 2842 images taken by drones or with a top-down view is constructed in the research. We conducted experiments on our dataset, and the results showed that the proposed model reduced the parameters by 16.2%, the detection accuracy increased by 3.4%, and the detection speed increased by 13.3% compared with YOLOv7. Full article (This article belongs to the Special Issue Management and Control of Ship Traffic Behaviours) ►▼ Show Figures Figure 1 attachment Supplementary material: Supplementary File 1 (ZIP, 2255 KiB) 21 pages, 4408 KiB Open AccessArticle Can the Ecological Quality of Several Bays in South Korea Be Accurately Assessed Using Multiple Benthic Biotic Indices? by Jian Liang, Chae-Woo Ma, Kwang-Bae Kim and Dae-Sun Son J. Mar. Sci. Eng. 2024, 12(7), 1179; https://doi.org/10.3390/jmse12071179 (registering DOI) - 13 Jul 2024 Abstract Bays are extensively impacted by human activities, and an accurate assessment of ecological quality is crucial for the environmental management and protection of bays. Most studies indicate that evaluating the ecological quality of bays using a single index presents challenges. In our study, [...] Read more. Bays are extensively impacted by human activities, and an accurate assessment of ecological quality is crucial for the environmental management and protection of bays. Most studies indicate that evaluating the ecological quality of bays using a single index presents challenges. In our study, we used five benthic biotic indices and a composite index to assess the ecological quality of three bays in South Korea. Our results revealed disparities in the ecological quality status assessment using five benthic biotic indices. The composite index performed better than the other benthic biotic indices in a principal coordinate analysis. Significant differences were observed between the values classifying stations as having an acceptable or unacceptable final ecological quality in terms of species indices (except for the Pielou’s evenness index) and the abundance of opportunist species (p < 0.05). Consequently, we advocate for using a composite index to assess the ecological quality of the bays of the West Sea of South Korea. Furthermore, our study provides valuable information for marine ecological management and policy formulation in Korea and offers recommendations for using the composite index in future research. Full article (This article belongs to the Special Issue Coastal Environments: Recent Advances in Conservation and Sustainable Development) 20 pages, 10103 KiB Open AccessArticle An Invariant Filtering Method Based on Frame Transformed for Underwater INS/DVL/PS Navigation by Can Wang, Chensheng Cheng, Chun Cao, Xinyu Guo, Guang Pan and Feihu Zhang J. Mar. Sci. Eng. 2024, 12(7), 1178; https://doi.org/10.3390/jmse12071178 (registering DOI) - 13 Jul 2024 Abstract Underwater vehicles heavily depend on the integration of inertial navigation with Doppler Velocity Log (DVL) for fusion-based localization. Given the constraints imposed by sensor costs, ensuring the optimization ability and robustness of fusion algorithms is of paramount importance. While filtering-based techniques such as [...] Read more. Underwater vehicles heavily depend on the integration of inertial navigation with Doppler Velocity Log (DVL) for fusion-based localization. Given the constraints imposed by sensor costs, ensuring the optimization ability and robustness of fusion algorithms is of paramount importance. While filtering-based techniques such as Extended Kalman Filter (EKF) offer mature solutions to nonlinear problems, their reliance on linearization approximation may compromise final accuracy. Recently, Invariant EKF (IEKF) methods based on the concept of smooth manifolds have emerged to address this limitation. However, the optimization by matrix Lie groups must satisfy the “group affine” property to ensure state independence, which constrains the applicability of IEKF to high-precision positioning of underwater multi-sensor fusion. In this study, an alternative state-independent underwater fusion invariant filtering approach based on a two-frame group utilizing DVL, Inertial Measurement Unit (IMU), and Earth-Centered Earth-Fixed (ECEF) configuration is proposed. This methodology circumvents the necessity for group affine in the presence of biases. We account for inertial biases and DVL pole-arm effects, achieving convergence in an imperfect IEKF by either fixed observation or body observation information. Through simulations and real datasets that are time-synchronized, we demonstrate the effectiveness and robustness of the proposed algorithm. Full article (This article belongs to the Special Issue Autonomous Marine Vehicle Operations—2nd Edition) 23 pages, 23069 KiB Open AccessArticle Upper Ocean Responses to Tropical Cyclone Mekunu (2018) in the Arabian Sea by Dan Ren, Shuzong Han and Shicheng Wang J. Mar. Sci. Eng. 2024, 12(7), 1177; https://doi.org/10.3390/jmse12071177 (registering DOI) - 13 Jul 2024 Abstract Based on Argo observations and a coupled atmosphere–ocean–wave model, the upper ocean responses to the tropical cyclone (TC) Mekunu (2018) were investigated, and the role of a pre-existing cold eddy in modulating the temperature response to TC Mekunu was quantified by employing numerical [...] Read more. Based on Argo observations and a coupled atmosphere–ocean–wave model, the upper ocean responses to the tropical cyclone (TC) Mekunu (2018) were investigated, and the role of a pre-existing cold eddy in modulating the temperature response to TC Mekunu was quantified by employing numerical experiments. With TC Mekunu’s passage, the mixed layer depth (MLD) on both sides of its track significantly deepened. Moreover, two cold patches ( Figure 1 20 pages, 4717 KiB Open AccessArticle GFRENet: An Efficient Network for Underwater Image Enhancement with Gated Linear Units and Fast Fourier Convolution by Bingxian Zhang, Jiahao Fang, Yujie Li, Yue Wang, Qinglong Zhou and Xing Wang J. Mar. Sci. Eng. 2024, 12(7), 1175; https://doi.org/10.3390/jmse12071175 (registering DOI) - 13 Jul 2024 Abstract Underwater image enhancement is critical for a variety of marine applications such as exploration, navigation, and biological research. However, underwater images often suffer from quality degradation due to factors such as light absorption, scattering, and color distortion. Although current deep learning methods have [...] Read more. Underwater image enhancement is critical for a variety of marine applications such as exploration, navigation, and biological research. However, underwater images often suffer from quality degradation due to factors such as light absorption, scattering, and color distortion. Although current deep learning methods have achieved better performance, it is difficult to balance the enhancement performance and computational efficiency in practical applications, and some methods tend to cause performance degradation on high-resolution large-size input images. To alleviate the above points, this paper proposes an efficient network GFRENet for underwater image enhancement utilizing gated linear units (GLUs) and fast Fourier convolution (FFC). GLUs help to selectively retain the most relevant features, thus improving the overall enhancement performance. FFC enables efficient and robust frequency domain processing to effectively address the unique challenges posed by the underwater environment. Extensive experiments on benchmark datasets show that our approach significantly outperforms existing state-of-the-art techniques in both qualitative and quantitative metrics. The proposed network provides a promising solution for real-time underwater image enhancement, making it suitable for practical deployment in various underwater applications. Full article (This article belongs to the Section Ocean Engineering) ►▼ Show Figures Figure 1 24 pages, 1371 KiB Open AccessArticle Decarbonizing Maritime Transport through Green Fuel-Powered Vessel Retrofitting: A Game-Theoretic Approach by Chengji Liang, Weiwei Sun, Jian Shi, Kailai Wang, Yue Zhang and Gino Lim J. Mar. Sci. Eng. 2024, 12(7), 1174; https://doi.org/10.3390/jmse12071174 (registering DOI) - 13 Jul 2024 Abstract Addressing the urgent global challenge of man-made greenhouse gas emissions and climate change necessitates collaborative action between shipping lines and government regulatory agencies. Aligning with the International Maritime Organization’s emissions reduction strategy, this paper presents a novel bi-level programming model that unifies these [...] Read more. Addressing the urgent global challenge of man-made greenhouse gas emissions and climate change necessitates collaborative action between shipping lines and government regulatory agencies. Aligning with the International Maritime Organization’s emissions reduction strategy, this paper presents a novel bi-level programming model that unifies these stakeholders. On the upper level of the proposed bi-level model, a number of shipping lines optimize retrofitting plans for their vessels to maximize economic benefits. On the lower level, the regulatory agency responds to the carbon reduction efforts by setting retrofitting subsidies and emission penalty rates. This framework represents a multi-leader–single-follower game involving shipping lines and the regulatory agency, and its equilibrium is determined through an equilibrium problem with equilibrium constraints (EPEC). The EPEC comprises multiple single-leader–follower problems, each of which can be formulated as a mathematical program with equilibrium constraints (MPEC). The diagonalization algorithm (DM) is employed for its solution. Simulation studies performed based on a ten-year planning period show that the proposed approach can effectively promote vessel retrofitting and the use of green fuels, which leads to an annual emission reduction of over 50%. Full article (This article belongs to the Special Issue Co-optimization of Fuel, Engine and After-Treatment towards the IMO 2050 Target) 26 pages, 6982 KiB Open AccessArticle A Wind Power Combination Forecasting Method Based on GASF Image Representation and UniFormer by Wei Guo, Li Xu, Danyang Zhao, Dianqiang Zhou, Tian Wang and Xujing Tang J. Mar. Sci. Eng. 2024, 12(7), 1173; https://doi.org/10.3390/jmse12071173 (registering DOI) - 13 Jul 2024 Abstract In the field of wind power prediction, traditional methods typically rely on one-dimensional time-series data for feature extraction and prediction. In this study, we propose an innovative short-term wind power forecasting approach using a “visual” 2D image prediction method that effectively utilizes spatial [...] Read more. In the field of wind power prediction, traditional methods typically rely on one-dimensional time-series data for feature extraction and prediction. In this study, we propose an innovative short-term wind power forecasting approach using a “visual” 2D image prediction method that effectively utilizes spatial pattern information in time-series data by combining wind power series and related environmental features into a 2D GASF image. Firstly, the wind power data are decomposed using the ICEEMDAN algorithm optimized by the BWO (Beluga Whale Optimization) algorithm, extracting the submodal IMF (Intrinsic Mode Function) components with different frequencies. Then, modal reconstruction is performed on the basis of the permutation entropy value of the IMF components, selecting meteorological features highly correlated with reconstructed components through Spearman correlation analysis for data splicing and superposition before converting them into GASF images. Finally, the GASF images are input into the UniFormer model for wind power sequence prediction. By leveraging wind power data predictions from a coastal wind farm in East China and Sotavento in Spain, this study demonstrates the significant benefits and potential applications of this methodology for precise wind power forecasting. This research combines the advantages of image feature extraction and time-series prediction to offer novel perspectives and tools for predicting renewable energy sources such as wind power. Full article (This article belongs to the Special Issue Advanced Condition Monitoring and Intelligent Operation & Maintenance Technologies in Ships and Offshore Facilities) 18 pages, 7817 KiB Open AccessArticle Numerical Investigation into the Hydrodynamic Performance of a Biodegradable Drifting Fish Aggregating Device by Tongzheng Zhang, Fenfang Zhao and Rong Wan J. Mar. Sci. Eng. 2024, 12(7), 1172; https://doi.org/10.3390/jmse12071172 (registering DOI) - 13 Jul 2024 Abstract Drifting fish aggregating devices (DFADs) can significantly enhance fishing efficiency and capability. Conventional drifting devices are prone to degradation in harsh marine environments, leading to marine waste or pollution. In this study, we develop a biodegradable DFAD (Bio-DFAD) to minimise negative impacts on [...] Read more. Drifting fish aggregating devices (DFADs) can significantly enhance fishing efficiency and capability. Conventional drifting devices are prone to degradation in harsh marine environments, leading to marine waste or pollution. In this study, we develop a biodegradable DFAD (Bio-DFAD) to minimise negative impacts on marine ecology. To investigate the hydrodynamic performance of the proposed device, numerical modelling involving the unsteady Reynolds-averaged Navier–Stokes equation has been conducted, in which a realisable k–ε model is applied to consider the turbulence effect. The response amplitude operators, which are key parameters for design, are obtained for heave and pitch motions. The hydrodynamic performance is found to be sensitive to the relative length, relative diameter, and wave steepness, but they are less sensitive to the relative current velocity. This work provides some scientific insights for practical applications. Full article (This article belongs to the Special Issue Research Progress in Wave–Structure Interactions in Nearshore Areas) 21 pages, 1331 KiB Open AccessArticle Numerical Investigation of Tsunami Wave Force Acting on Twin Box-Girder Bridges by Quansheng Yan, Xianyun Li, Buyu Jia, Xiaolin Yu and Yufan Luo J. Mar. Sci. Eng. 2024, 12(7), 1171; https://doi.org/10.3390/jmse12071171 - 12 Jul 2024 Abstract Earthquakes in coastal areas frequently trigger tsunami waves, posing significant threats to low-lying coastal bridges. Investigating extreme wave force on bridge deck is crucial for understanding bridge damage mechanisms. However, the majority of current research focuses on single bridge deck, with limited analysis [...] Read more. Earthquakes in coastal areas frequently trigger tsunami waves, posing significant threats to low-lying coastal bridges. Investigating extreme wave force on bridge deck is crucial for understanding bridge damage mechanisms. However, the majority of current research focuses on single bridge deck, with limited analysis of wave impacts on twin bridge decks. In this paper, solitary wave is utilized to simulate tsunami wave, and a two-dimensional (2D) computational fluid dynamics (CFDs) model to analyze wave–bridge interactions and investigate the impact of tsunami wave on adjacent twin box-girder bridge decks. The numerical model was validated by solitary wave theory and wave force data obtained from the published experiment. Based on this model, the effects of the submergence coefficient, wave height, and deck spacing on the horizontal and vertical forces on the twin box-girder bridge decks were analyzed and compared with those in a single box-girder bridge deck. The results indicate that, firstly, due to wave reflection and the trapped water, the vertical wave force on the twin forward bridge deck significantly surpasses that on the single bridge deck. Furthermore, the twin backward bridge deck experiences greater horizontal force than single deck when the deck is completely submerged. Secondly, the maximum wave force on the twin bridge decks does not always consistently decrease with increasing deck spacing. Finally, the negative horizontal force would exceed the positive horizontal force on the twin forward bridge deck under higher wave. This paper delineates the disparities between twin and single box-girder bridge deck responses to wave action and analyzes the influencing factors. Such insights are pivotal for coastal bridge construction and natural disaster risk assessment. Full article (This article belongs to the Special Issue Wave Interactions with Coastal Structures II) 19 pages, 1613 KiB Open AccessArticle An Underwater Multisensor Fusion Simultaneous Localization and Mapping System Based on Image Enhancement by Zeyang Liang, Kai Wang, Jiaqi Zhang and Fubin Zhang J. Mar. Sci. Eng. 2024, 12(7), 1170; https://doi.org/10.3390/jmse12071170 - 12 Jul 2024 Abstract As a key method of ocean exploration, the positioning accuracy of autonomous underwater vehicles (AUVs) directly influences the success of subsequent missions. This study aims to develop a novel method to address the low accuracy in visual simultaneous localization and mapping (SLAM) within [...] Read more. As a key method of ocean exploration, the positioning accuracy of autonomous underwater vehicles (AUVs) directly influences the success of subsequent missions. This study aims to develop a novel method to address the low accuracy in visual simultaneous localization and mapping (SLAM) within underwater environments, enhancing its application in the navigation and localization of AUVs. We propose an underwater multisensor fusion SLAM system based on image enhancement. First, we integrate hybrid attention mechanisms with generative adversarial networks to address the blurring and low contrast in underwater images, thereby increasing the number of feature points. Next, we develop an underwater feature-matching algorithm based on a local matcher to solve the feature tracking problem caused by grayscale changes in the enhanced image. Finally, we tightly couple the Doppler velocity log (DVL) with the SLAM algorithm to better adapt to underwater environments. The experiments demonstrate that, compared to other algorithms, our proposed method achieves reductions in both mean absolute error (MAE) and standard deviation (STD) by up to 68.18% and 44.44%, respectively, when all algorithms are operating normally. Additionally, the MAE and STD of our algorithm are 0.84 m and 0.48 m, respectively, when other algorithms fail to operate properly. Full article (This article belongs to the Section Ocean Engineering) ►▼ Show Figures Figure 1 20 pages, 26532 KiB Open AccessArticle Numerical Simulation of Gas Production Behavior Using Stepwise Depressurization with a Vertical Well in the Shenhu Sea Area Hydrate Reservoir of the South China Sea by Tinghui Wan, Zhanzhao Li, Hongfeng Lu, Mingming Wen, Zongheng Chen, Lieyu Tian, Qi Li, Jia Qu and Jingli Wang J. Mar. Sci. Eng. 2024, 12(7), 1169; https://doi.org/10.3390/jmse12071169 - 12 Jul 2024 Abstract Stepwise depressurization is an important depressurization strategy in the development of natural gas hydrates. This work numerically analyzes the effects of different depressurization gradients and constant pressure durations on gas and water production during stepwise depressurization extraction with a vertical well in the [...] Read more. Stepwise depressurization is an important depressurization strategy in the development of natural gas hydrates. This work numerically analyzes the effects of different depressurization gradients and constant pressure durations on gas and water production during stepwise depressurization extraction with a vertical well in the Shenhu Sea area hydrate reservoir of the South China Sea. The results indicate that stepwise depressurization can reduce water production and raise the gas-to-water ratio in the early stages of production while ensuring cumulative gas output. When the vertical well is deployed at the model’s center with a completion length of 70 m and a constant pressure duration of 10 days, a depressurization gradient of 0.5 MPa, stepwise depressurization by 6 MPa, and continuous production for one year is achieved. Compared with direct depressurization, its cumulative gas production is 2.966 × 106 ST m3, which only decreases by 2.94%. However, it maintains a higher gas-to-water ratio in the early stages of production. Considering factors such as engineering operability, cumulative gas output, and gas-to-water ratio, it is recommended to use a small pressure gradient and a medium constant pressure stabilization time for stepwise depressurization Stepwise depressurization can maintain a high gas-to-water ratio while ensuring gas production and reducing water production can alleviate sand production problems and improve economic efficiency. The understanding gained from this work has reference value for the development of similar hydrate reservoirs worldwide. Full article (This article belongs to the Special Issue Advances in Marine Gas Hydrate Exploration and Discovery) ►▼ Show Figures Figure 1 18 pages, 12056 KiB Open AccessArticle Estimating Nearshore Morphological Change through Ensemble Optimal Interpolation with Altimetric Data by Matthew P. Geheran, Katherine R. DeVore, Matthew W. Farthing, A. Spicer Bak, Katherine L. Brodie, Tyler J. Hesser and Patrick J. Dickhudt J. Mar. Sci. Eng. 2024, 12(7), 1168; https://doi.org/10.3390/jmse12071168 - 12 Jul 2024 Abstract Nearshore bathymetry changes on scales of hours to months in ways that strongly impact coastal processes. However, even at the best-monitored sites, surveys are typically not conducted with sufficient frequency to capture important changes such as sandbar migration. As a result, nearshore models [...] Read more. Nearshore bathymetry changes on scales of hours to months in ways that strongly impact coastal processes. However, even at the best-monitored sites, surveys are typically not conducted with sufficient frequency to capture important changes such as sandbar migration. As a result, nearshore models often rely on outdated bathymetric boundary conditions, which may introduce significant errors. In this study, we investigate ensemble optimal interpolation (EnOI) as a method to update survey-derived bathymetry with altimetric measurements that are spatially sparse but have high temporal availability. We present the results of two synthetic examples and two field data experiments that demonstrate the ability of the method to accurately track morphological change between surveys. The method reduces the RMSE relative to a static bathymetry (corresponding to the day before the first assimilation step) by 23% to 68%. When compared with an estimate linearly interpolated between survey-derived bathymetries, the EnOI analysis reduces the RMSE by 19% to 47% in three out of the four experiments. Full article (This article belongs to the Section Coastal Engineering) ►▼ Show Figures Figure 1 27 pages, 2035 KiB Open AccessArticle A Quick Pheromone Matrix Adaptation Ant Colony Optimization for Dynamic Customers in the Vehicle Routing Problem by Yuxin Liu, Zhitian Wang and Jin Liu J. Mar. Sci. Eng. 2024, 12(7), 1167; https://doi.org/10.3390/jmse12071167 - 11 Jul 2024 Abstract The path planning problem is an important issue in maritime search and rescue. This paper models the path planning problem as a dynamic vehicle routing problem. It first designs a dynamic generator that transforms the existing benchmark sets for the static vehicle routing [...] Read more. The path planning problem is an important issue in maritime search and rescue. This paper models the path planning problem as a dynamic vehicle routing problem. It first designs a dynamic generator that transforms the existing benchmark sets for the static vehicle routing problem into dynamic scenarios. Subsequently, it proposes an effective Dynamic Ant Colony Optimization (DACO) algorithm, whose novelty lies in that it dynamically adjusts the pheromone matrix to efficiently handle customers’ changes. Moreover, DACO incorporates simulated annealing to increase population diversity and employs a local search operator that is dedicated to route modification for continuous performance maximization of the route. The experimental results demonstrated that the proposed DACO outperformed existing approaches in generating better routes across various benchmark sets. Specifically, DACO achieved significant improvements in the route cost, serviced customer quantity, and adherence to time window requirements. These results highlight the superiority of DACO in the dynamic vehicle routing problem, providing an effective solution for similar problems. Full article (This article belongs to the Special Issue Advances in Underwater Acoustic Communication and Ocean Sensor Networks) More Articles...
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