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Marine traffic has been identified as a serious threat to Mediterranean cetaceans with few mitigation strategies in place. With only limited research effort within the Eastern Basin, neither baseline species knowledge nor the magnitude of threats have been comprehensively assessed. Delineating the extent of overlap between marine traffic and cetaceans provides decision makers with important information to facilitate management. The current study employed the first seasonal boat surveys within the Eastern Mediterranean Sea of Turkey, incorporating visual and acoustic survey techniques between 2018 and 2020 to understand the spatial distribution of cetacean species. Additionally, marine traffic density data were retrieved to assess the overlap with marine traffic. Encounter rates of cetaceans and marine traffic density were recorded for each 100 km2 cell within a grid. Subsequently, encounter and marine traffic density data were used to create a potential risk index to establish where the potential for marine traffic and cetacean overlap was high. Overall, eight surveys were undertaken with a survey coverage of 21,899 km2 between the Rhodes and Antalya Basins. Deep diving cetaceans (sperm and beaked whales) were detected on 28 occasions, with 166 encounters of delphinids of which bottlenose, striped and common dolphins were visually confirmed. Spatially, delphinids were distributed throughout the survey area but encounter rates for both deep diving cetaceans and delphinids were highest between the Rhodes and Finike Basins. While sperm whales were generally detected around the 1000m contour, delphinids were encountered at varying depths. Overall, two years of monthly marine traffic density were retrieved with an average density of 0.37 hours of monthly vessel activity per square kilometer during the study period. The mean density of vessels was 0.32 and 1.03 hours of monthly vessel activity per square kilometer in non-coastal and coastal waters respectively. The Easter

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Deep ocean vehicle to seek ship wreckage off Bahamas.

Owner's 'deep remorse' over ship stuck on Pacific reef.

Drones in the deep: new applications for maritime UAVs.

Seven Yield Delivers the First Deep-Sea LNG-Powered Car Carrier.

2M Alliance Announces Deep Cuts to Asia-Europe Services.

China and Myanmar Sign Deep Sea Port Deal.

Myanmar Mulls New Deep-Sea Port.

World's biggest automated cargo wharf, the fourth phase of the Yangshan deep-water port started operation on Sunday. The core technology of the robotic port was developed independently by China. The forth phrase of Yangshan port takes up an area of 2.23 million square meters, whose coastline stretches as long as 2,350 meters. It consists of two 70,000 dead-weight tonnage (DWT) berths and five 50,000 DWT berths.

Sound speed distribution, represented by a sound speed profile (SSP), is of great significance because the nonuniform distribution of sound speed will cause signal propagation path bending with Snell effect, which brings difficulties in precise underwater localization such as emergency rescue. Compared with conventional SSP measurement methods via the conductivity-temperature-depth (CTD) or sound-velocity profiler (SVP), SSP inversion methods leveraging measured sound field information have better real-time performance, such as matched field process (MFP), compressed sensing (CS) and artificial neural networks (ANN). Due to the difficulty in measuring empirical SSP data, these methods face with over-fitting problem in few-shot learning that decreases the inversion accuracy. To rapidly obtain accurate SSP, we propose a task-driven meta-deep-learning (TDML) framework for spatio-temporal SSP inversion. The common features of SSPs are learned through multiple base learners to accelerate the convergence of the model on new tasks, and the model's sensitivity to the change of sound field data is enhanced via meta training, so as to weaken the over-fitting effect and improve the inversion accuracy. Experiment results show that fast and accurate SSP inversion can be achieved by the proposed TDML method.

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The US National Transportation Safety Board (NTSB) has announced that the Voyage Data Recorder (VDR) of sunken cargo vessel El Faro has been successfully recovered. A deep ocean remotely operated underwater vehicle, CURV-21, equipped with special technology was used to perform the recovery. It was transported to the sinking site off the Bahamas by ocean …

Environment minister orders an urgent investigation into whether a $130m port for the oil and gas industry had appropriate assessments or approval

Latest news, politics, business and sport from Thailand and Asean, plus features, opinion and multimedia from across Southeast Asia.

A large ship found in deep water off the Bahamas is the lost freighter El Faro that sank with 33 crew members in a hurricane last month, U.S. authorities said on Monday.

A U.S. Coast Guard cutter for the first time used unmanned aircraft to help it navigate the frozen continent's icy inlet during a crucial summertime mission