Journal of Marine Science and Engineering

#Callforpaper 👇👇👇 #maritimeefficiency #CFD #shiphull #optimization #Marineenergy #marinetransport 🌊Special Issue "Maritime Efficiency and Energy Transition" 👨🎓Guest Editor: Dr. Adelaida Garcia-Magariño 💻More at: https://lnkd.in/duRejaK7 ⏰Close date: 1 July 2025

#Callforpaper 👇👇👇 #decarbonization #shipping #seaport #maritime #port #marinefuel #propulsion 🌊Special Issue "Advanced Technologies of Ship Power Plants and Infrastructure of Seaports" 👨🎓Guest Editors: Prof. Dr. Sergejus Lebedevas Dr. Paulius Rapalis #Klaipeda University 💻More at: https://lnkd.in/dPAJMC8w ⏰Close date: 10 July 2025

💡 #Newpaper in 2024 #Zhejiang Ocean University #Korea Maritime & Ocean University 🌊 Title: Two-Dimensional Prediction of Transient Cavitating Flow Around @Hydrofoils Using a DeepCFD Model 🔑 Keywords: #cavitation; computational fluid dynamics (#CFD); #DeepCFD; convolutional #neuralnetworks (#CNNs); #deeplearning 🔗 Check it here: https://lnkd.in/diU44BCw 📜 Abstract：Cavitation is a common phenomenon in naval and ocean engineering, typically occurring in the wakes of high-speed rotating propellers and on the surfaces of fast-moving underwater vehicles. To investigate cavitation phenomena, computational fluid dynamics (CFD) simulations are indispensable. Nevertheless, the inherently complex nature of cavitation, which involves phase transitions, heat transfer, and significant pressure fluctuations, often results in high computational costs for these simulations. To address the computational challenges associated with cavitation simulations, a DeepCFD model, which leverages convolutional neural networks (CNNs), was employed to accurately predict cavitation around hydrofoils. Through specific modifications, the DeepCFD model was trained on 400 hydrofoil configurations, learned from CFD simulations. The numerical methods were validated against a modified NACA66 hydrofoil. It was found that the model could accurately predict cavitation shapes under various flow conditions, although it showed some discrepancies in velocity predictions, especially for detached cavitating flows. The significance of this study lies in its potential to simply predict cavitating flows and expedite marine vehicle design through the application of CNNs in cavitation prediction, offering a novel and impactful approach to computational fluid dynamics in the field.

💡 #Newpaper in 2024 #Universidad de La Laguna #Universidad Carlos III de Madrid 🌊 Title: Condition Monitoring in #MarineOil Separation Systems Using Wavelet Packet Transform and Genetic Technique 🔑 Keywords:  #wavelet packet transform; #genetic neuro-#fuzzy; condition #monitoring 🔗 Link: https://lnkd.in/dagDgC89 📜 Abstract：Condition Monitoring is key to predictive maintenance and especially in the operational efficiency of the Marine Oil Separation System. These systems are crucial for environmental protection and compliance with international maritime regulations. Therefore, it is necessary to design a technique capable of analyzing the signals from sensors and estimating the remaining useful life in order to avoid breakage or unnecessary replacement. This work presents an intelligent method with signal processing based on Wavelet Packets Transform that provides energy data from vibration measurements as characteristic parameters. These values can be related to its RUL, and they are used as inputs for the training process. In particular, a Genetic Neuro-Fuzzy system is proposed as an intelligent classification technique. Once the training process is completed, it can be concluded that a good classifier has been built, since it relates the energy state of the oil separation system with its remaining useful life, and therefore, the necessary information for efficient predictive maintenance is achieved. Furthermore, a mechanism to obtain the final set of fuzzy rules has been developed, showing the correspondence between these fuzzy rules and the neural network structure.

💡 #Highcitedpaper #University of Patras #Ionian University 🌊 Title: Monitoring the Kotychi Lagoon in Western Peloponnese, Greece, Using Remote Sensing Techniques and Environmental Assessment 🔑 Keywords: #wetlands; #GIS; LRR; lakes; #ecosystems; #sediments characteristics; #ecological status; #macrobenthos; WFD 🔗 See more at: https://lnkd.in/gSERUuUm 📜 Abstract：The Kotychi Lagoon (western Peloponnese, Greece), together with other coastal wetlands such as Pappas, Prokopos and Lamia, is part of the wider area of the Strofylia Wetlands National Park and Protected Areas of Western Peloponnese, which has been protected by the Ramsar convention since 1971 and classified as a Natura 2000 area due to its high diversity and ecological value. This study aimed to estimate the water surface evolution of the Kotychi Lagoon using optical remote sensing techniques to record parameters and indices related to the geometrical and landscape orientation features for the 1945–2016 period and to evaluate the ecological and environmental status of the lagoon through in-situ measurement and sample analysis. High-resolution aerial photos at a scale of 1:30,000, orthomosaics, and satellite images were used and linear regression rates (LRR) were calculated to determine the changes. Seasonal sampling of water, sediment, and macrofaunal organisms in the lagoon was performed to monitor environmental and ecological parameters. The results showed that the lagoon’s water surface shrank during the 1945–2016 period, showing different rates in four segments. The shrinkage prevailed in the northeastern and southern parts of the lagoon, with rates of 17.75 and 6.46 m/year, respectively. The ecological status was determined to be poor, although nutrient input seemed to have been moderate over the study period. We conclude that applying remote sensing techniques using a combination of high-resolution images constitutes an effective and accurate method for the spatiotemporal mapping of wetlands. The ecological problems of the Kotychi Lagoon were highlighted and confirmed through complementary in-situ analyses. These problems need to be addressed by the respective managerial bodies in order to restore the lagoon to good ecological status.

💡 #Highcitedpaper #University of Messina #Technical University of Lisbon - UTL 🌊 Title: #Stress–Strain Assessment of Honeycomb #SandwichPanel Subjected to Uniaxial Compressive Load 🔑 Keywords: ultimate #strength; #aluminium #honeycombsandwich; #marine structures; uniaxial #axial compressive #load; #buckling; light-weight structures 🔗 Read at: https://lnkd.in/gMhcG__x 📜 Abstract：The ship hull structure is composed of plates and stiffened panels. Estimating the maximum load-carrying capacity, or the ultimate strength, of these structural components is fundamental. One of the main challenges nowadays is the implementation of new materials and technologies to enhance the structural integrity, economy, safety and environmentally friendly design of the ship’s hull structure. A new design solution may be represented by aluminium alloy honeycomb sandwich structures, both as plane panels or stiffened ones, which are characterised by excellent impact-absorption capabilities and a high stiffness-to-weight ratio. Still, their response to some conditions typical of ship structural design needs to be deeply investigated. Axial compressive loading is one of the most critical conditions that could impact the structural integrity of such light-weight solutions. Hence, the uniaxial compressive behaviour of aluminium honeycomb sandwich structures has to be deeply investigated to promote their integration in ship structural design. Within this context, the present work performs an experimental and numerical study of a honeycomb sandwich panel subjected to uniaxial compressive loads. The results will help develop models for predicting the uniaxial compressive load-carrying capacity of hybrid honeycomb sandwiches of aluminium alloy design.

💡 #Highcitedpaper #University of Split 🌊 Title: Reconstruction Methods in Oceanographic Satellite Data Observation—A Survey 🔑 Keywords: #data reconstruction; gap filling; missing data; #gaps; #satellite #oceanography 🔗 Check at: https://lnkd.in/gxQgw_D6 📜 Abstract：Oceanographic parameters, such as sea surface temperature, surface chlorophyll-a concentration, sea surface ice concentration, sea surface height, etc., are listed as Essential Climate Variables. Therefore, there is a crucial need for persistent and accurate measurements on a global scale. While in situ methods tend to be accurate and continuous, these qualities are difficult to scale spatially, leaving a significant portion of Earth’s oceans and seas unmonitored. To tackle this, various remote sensing techniques have been developed. One of the more prominent ways to measure the aforementioned parameters is via satellite spacecraft-mounted remote sensors. This way, spatial coverage is considerably increased while retaining significant accuracy and resolution. Unfortunately, due to the nature of electromagnetic signals, the atmosphere itself and its content (such as clouds, rain, etc.) frequently obstruct the signals, preventing the satellite-mounted sensors from measuring, resulting in gaps—missing data—in satellite recordings. One way to deal with these gaps is via various reconstruction methods developed through the past two decades. However, there seems to be a lack of review papers on reconstruction methods for satellite-derived oceanographic variables. To rectify the lack, this paper surveyed more than 130 articles dealing with the issue of data reconstruction. Articles were chosen according to two criteria: (a) the article has to feature satellite-derived oceanographic data (b) gaps in satellite data have to be reconstructed. As an additional result of the survey, a novel categorising system based on the type of input data and the usage of time series in reconstruction efforts is proposed.

💡 #Highcitedpaper #Stazione Zoologica Anton Dohrn 🌊 Title: Southern Ocean Iron Limitation of Primary Production between Past Knowledge and Future Projections 🔑 Keywords: #iron; #SouthernOcean; #phytoplankton; #climatechange; #Antarctica; high-#nutrient/low-#chlorophyll region 🔗Link: https://lnkd.in/gys7gtB6 📜 Abstract：Primary production in the Southern Ocean highly depends on phytoplankton and has been reported to be limited by the availability of the micronutrient iron. The aim of this review is to summarize the past and current knowledge on iron limitation in the Southern Ocean, and specifically how it affects primary producers, thus influencing the whole Southern Ocean community structure, carbon cycling, and large-scale ocean biogeochemistry. In this region, extensive variability exists between different areas regarding iron availability, but also between seasons. Moreover, co-limitations with other abiotic environmental factors exist, further complicating the assessment of the role of iron as limiting factor for phytoplankton productivity. Currently, climate change is altering the Southern Ocean environment. How these changes will affect resident phytoplankton is still not clear, possibly modifying the iron supply mechanisms. Existing projections point towards a possible partial relief of iron stress on phytoplankton, but the interactions between different environmental changes, and the cascade effects they will have, are still poorly understood, and some aspects understudied. Here we try to synthetize the available predictions and uncertainties concerning this topic.

📢 Meet Us at The Xiamen Symposium on Marine Environmental Sciences 2025 (XMAS 2025) 📅 14–17 January 2025 🏙 Xiamen, China 🎈 For more information, please visit: https://lnkd.in/d55S5i4T We warmly welcome you to visit our booth #B14 #marineenvironmental #biologicaloceanography #marinetoxicology

💡 #Newpaper in 2024 #University of Patras #Aristotle University of Thessaloniki (AUTH) 🌊 Title: Fan #Mussel (Pinna nobilis L.) Spat Collection, Monitoring of Early #Growth and Conservation Implications by Deploying Conventional #Aquaculture Methodology 🔑 Keywords: #Pinnanobilis; conservation #aquaculture; #recruitment; pre-growing; #nursery; #Amvrakikos; #IonianSea 🔗 Link: https://lnkd.in/d6V-bG8D 📜 Abstract：Pinna nobilis, endemic to the Mediterranean Sea, has been experiencing a gradual population decline over recent decades due to anthropogenic pressures on its ecosystems. However, since 2016, its populations have suffered significant reductions because of pathological issues affecting the species across all its habitats. Aquaculture techniques to support the limited natural recruitment P. nobilis efforts is examined. Artificial substrates for larval attachments in aquaculture infrastructures promote the survival of the juveniles that is further enhanced through protected pre-growing “nursery” farming conditions. Specific spat collectors were placed in 2 cage-fish farms in SW Amvrakikos Gulf. The harvested spats from were transferred to pre-grow in trays hanged on a long line farm mussel that is acting as a protected “nursery”, avoiding predation and any human accidentally disturbance. The survival and growth of 12 juveniles P. nobilis spat (shell length 38.1 ± 9.2 mm) in captivity (31 October 2023–15 March2023) was investigated. Out of the 12 individuals collected, 3 were examined for the presence of pathogens; only 7 survived, exhibiting enhanced growth (shell length 54.3 ± 11.6 mm) after 134 days in the nursery. The results highlight the significant role of aquaculture techniques in efforts to conserve a threatened species as well as the need for the creation of a protocol to ensure the conservation of P. nobilis.