Journal of Marine Science and Engineering

🛎️ #NewArticle #Korea Institute of Ocean Science & Technology (KIOST) 🌊Taxonomic Study of Free-Living Marine #Nematodes in the Subgenus #Tricoma (#Desmoscolecida: #Desmoscolecidae) from the Subtidal Zone of the East Sea, Korea, with Insights into the Ultrastructure of the Lip Region 🗝️Keywords: #marine; #SEM and #DIC #imaging; #biodiversity; #meiobenthos; Northwest Pacific Ocean 💻https://lnkd.in/d44cjWhC 💬 Abstract: This study provides a taxonomic analysis of three newly discovered species of free-living marine nematodes in the subgenus Tricoma from the East Sea, Korea. Tricoma (Tricoma) polyringulata sp. nov. is characterized by its relatively small body size, with lengths of 280–370 µm in males and 320–390 µm in females, and 75–89 main rings. Diagnostic features include an uncovered first ring, triangular head shape, amphidial fovea with slight constriction, and a unique pattern of somatic setae, comprising 7–9 subdorsal and 8–12 subventral setae. Tricoma (Tricoma) fortiseta sp. nov. is distinguished by 65–69 main rings, 10–12 subdorsal setae, and 17–20 subventral setae, along with a hexagonal head, a well-defined labial region with six lips, and bifid-tipped cephalic setae located medially on the head. Tricoma (Tricoma) uljinensis sp. nov. exhibits 67–70 main rings, with a thick, sclerotized head that is 1.5 times as wide as its length, gently triangular in shape. Its diagnostic features include a gubernaculum bent downward near its midpoint and a conical terminal ring, with 25–39% of the desmos covered. Detailed morphological descriptions of each species are provided, along with a comparative table of morphological traits for species with 61–75 main rings and an illustrated key for identification.

🛎️ #NewArticle #Dundalk Institute of Technology 🌊The Use of #AirPressure Measurements Within a Sealed Moonpool for Sea-State Estimation 🗝️Keywords: #oscillatingwatercolumn; prototype #design; #wave measurement; wave spectra 💻https://lnkd.in/dqt9gK9N 💬 Abstract: To assess the viability of locations for wave energy farms and design effective coastal protection measures, knowledge of local wave regimes is required. The work described herein aims to develop a low-cost, self-powering wave-measuring device that comprises a floating buoy with a central moonpool. The relative motion of the water level in the moonpool to the buoy will pressurise and depressurise the air above the water column. The variation in air pressure may then be used to estimate the sea-state incident upon the buoy. Small-scale proof of concept tank testing was conducted at a 1:20 scale and at a larger 1:2.4 scale before a full-scale prototype was deployed at the Smartbay test site facility in Galway Bay, Ireland. A number of techniques by which full-scale sea states may be estimated from the pressure spectrum are explored. A successful technique, based on the average of multiple linear squared magnitude of the transfer functions obtained under different wave regimes is developed. The applicability of this technique is then confirmed using validation data obtained during the full-scale sea trials. While the technique has proven useful, investigation into potential seasonal bias has been conducted, and suggestions for further improvements to the technique, based on further calibration testing in real sea states, are proposed.

📣#Highcitedpaper #Stazione Zoologica Anton Dohrn & #Università degli Studi di Napoli Federico II (UniNa) / University of Naples Federico II 🔱#Biodiversity of UV-Resistant Bacteria in Antarctic #Aquatic Environments 🗝️Keywords: #Antarctica; #UV #radiation; UV-C assay; UV-#resistance; #marine #bacterium; lake #microorganism; #pigment 💻https://lnkd.in/dbtdY2mu 📜 Abstract: Antarctica is an untapped reservoir of bacterial communities, which are able to adapt to a huge variety of strategies to cope with extreme conditions and, therefore, are capable of producing potentially valuable compounds for biotechnological applications. In this study, 31 UV-resistant bacteria collected from different Antarctic aquatic environments (surface sea waters/ice and shallow lake sediments) were isolated by UV-C assay and subsequently identified. A phylogenetic analysis based on 16S rRNA gene sequence similarities showed that the isolates were affiliated with Proteobacteria, Actinobacteria and Firmicutes phyla, and they were clustered into 15 bacterial genera, 5 of which were Gram negative (Brevundimonas, Qipengyuania, Sphingorhabdus, Sphingobium, and Psychrobacter) and 10 of which were Gram positive (Staphylococcus, Bacillus, Mesobacillus, Kocuria, Gordonia, Rhodococcus, Micrococcus, Arthrobacter, Agrococcus, and Salinibacterium). Strains belonging to Proteobacteria and Actinobacteria phyla were the most abundant species in all environments. The genus Psychrobacter was dominant in all collection sites, whereas bacteria belonging to Actinobacteria appeared to be the most diverse and rich in terms of species among the investigated sites. Many of these isolates (20 of 31 isolates) were pigmented. Bacterial pigments, which are generally carotenoid-type compounds, are often involved in the protection of cells against the negative effects of UV radiation. For this reason, these pigments may help bacteria to successfully tolerate Antarctic extreme conditions of low temperature and harmful levels of UV radiation.

📣#Highcitedpaper #University of Plymouth & #Bangor University 🔱How Efficient Is Model-to-Model Data Assimilation at Mitigating Atmospheric Forcing Errors in a Regional Ocean Model? 🗝️Keywords: #dataassimilation; Indian #Ocean; uncertainty; #sea surface #temperature; #kinetic #energy 💻https://lnkd.in/gqrN-2i4 📜 Abstract: This paper examines the efficiency of a recently developed Nesting with Data Assimilation (NDA) method at mitigating errors in heat and momentum fluxes at the ocean surface coming from external forcing. The analysis uses a set of 19 numerical simulations, all using the same ocean model and exactly the same NDA process. One simulation (the reference) uses the original atmospheric data, and the other eighteen simulations are performed with intentionally introduced perturbations in the atmospheric forcing. The NDA algorithm uses model-to-model data assimilation instead of assimilating observations directly. Therefore, it requires a good quality, although a coarser resolution data assimilating parent model. All experiments are carried out in the South East Arabian Sea. The variables under study are sea surface temperature, kinetic energy, relative vorticity and enstrophy. The results show significant improvement in bias, root-mean-square-error, and correlation coefficients between the reference and the perturbed models when they are run in the data assimilating configurations. Residual post-assimilation uncertainties are similar or lower than uncertainties of satellite based observations. Different length of DA cycle within a range from 1 to 8 days has little effect on the accuracy of results.

📣#Highcitedpaper #University of Duisburg-Essen & #University of Naples ‘Parthenope’ 🔱A Comparative Study to Estimate Fuel Consumption: A Simplified Physical Approach against a Data-Driven Model 🗝️Keywords: #fuel consumption; #data analysis; #SNAM; #DNN method 💻https://lnkd.in/g-Mpxuts 📜 Abstract: Two methods were compared to predict a ship’s fuel consumption: the simplified naval architecture method (SNAM) and the deep neural network (DNN) method. The SNAM relied on limited operational data and employed a simplified technique to estimate a ship’s required power by determining its resistance in calm water. Here, the Holtrop–Mennen technique obtained hydrostatic information for each selected voyage, the added resistance in the encountered natural seaways, and the brake power required for each scenario. Additional characteristics, such as efficiency factors, were derived from literature surveys and from assumed working hypotheses. The DNN method comprised multiple fully connected layers with the nonlinear activation function rectified linear unit (ReLU). This machine-learning-based method was trained on more than 12,000 sample voyages, and the tested data were validated against realistic operational data. Our results demonstrated that, for some ship topologies (general cargo and containerships), the physical models predicted more accurately the realistic data than the machine learning approach despite the lack of relevant operational parameters. Nevertheless, the DNN method was generally capable of yielding reasonably accurate predictions of fuel consumption for oil tankers, bulk carriers, and RoRo ships.

📣#Highcitedpaper #Chonnam National University & #KICT(Korea Institute of Civil Engineering and Building Technology) 🔱Study of Overtopping Flow Velocity and Overtopping Layer Thickness on Composite Breakwater under Regular Wave 🗝️Keywords: #wave #overtopping; regular wave; #breakwater; bubble #image #velocimetry; overtopping flow #velocity; overtopping layer thickness 💻https://lnkd.in/gNSRhgHy 📜 Abstract: Overtopping flow velocity (OFV) and overtopping layer thickness (OTL) are essential parameters in breakwater design. Several empirical equations to predict these parameters are available in many works of literature, but most of the equations were derived based on impermeable structures such as sea dikes. In this study, we experimented with overtopping waves over a composite breakwater with tetrapod armor units. In the experiments, wave overtopping was generated from regular waves. We used a digital image-based velocimetry method, bubble image velocimetry (BIV), to measure the OFV and digitize the corresponding image to obtain the OLT. The patterns of OFV and OTL with respect to time steps, wave conditions, and corresponding events were provided and discussed. The application of the widely used empirical equations for sea dike to breakwater was also tested by calibrating the coefficients. New empirical coefficients and roughness factors were suggested to reduce the difference between predicted and measured OFV and OLT on breakwater through the bootstrap resampling technique. This study provides modified empirical equations on wave overtopping, which is further applicable to breakwater design.

#Callforpaper 👇👇👇 #waterquality #numericalmodelling #nutrients #oxygen #coastalsystems 🌊Special Issue： #Hydrodynamics and Water Quality in Coastal Systems: Numerical Modelling and Observations 👨🎓Guest Editor: #Universidade de Aveiro Dr. Ana Picado Dr. Nuno Vaz 💻More at: https://lnkd.in/gTQVXsHa ⏰Close date: 20 August 2025

#Callforpaper 👇👇👇 #ship #offshore #structure #lightweight #design #assesment 🌊Special Issue "Design and Analysis of New and #Retrofitted #Eco-Friendly #Ships and Offshore Structures" 👨🎓Guest Editors: Prof. Dr. Yordan Garbatov, Professor #CENTEC Técnico Prof. Dr. Joško Parunov #University of Zagreb / Sveučilište u Zagrebu 💻More at: https://lnkd.in/dxDnTTTU ⏰Close date: 20 August 2025

#Callforpaper 👇👇👇 #green #energy #ship #autonomous #unmanned 🌊Special Issue "Advances in Recent #Marine #Engineering #Technology" 👨🎓Guest Editor: Prof. Dr. Hongpeng Zhang #Dalian Maritime University 💻More at: https://lnkd.in/d5kxDe-A ⏰Close date: 15 August 2025

#Callforpaper 👇👇👇 #hydrodynamic #infrastructure #structural #cfd #pile #seabed 🌊Special Issue "Theoretical Research and #Design of #Subsea #Pipelines" 👨🎓Guest Editor: Dr. Ahmed M. Reda #Curtin University 💻More at: https://lnkd.in/dVDBjGC8 ⏰Close date: 5 August 2025