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Digitalization is constantly altering company paradigms and expanding cross-border supply chain prospects. Maritime transportation plays an increasingly essential part in the global supply network. Since maritime shipping services need to exchange a huge number of papers and paperwork across numerous companies, the usage of a unified platform for inter-organisational communication and information sharing is required. To develop an integrative, adaptive, and intelligent container booking system, a multi-agent architecture is designed in this article. The proposed architecture will aid the maritime industry in establishing real-time information interchange between autonomous agents, shippers, freight forwarders, and shipping lines. The process outlined in this paper reveals how the agents communicate with one another to resolve underlying inconsistencies. With the multi-agent framework, the article also presents a container slot optimisation problem considering market segmentation, different booking periods, heterogeneous containers and port congestion scenarios. Using this model the managers can find the booking limit for each type of containers and accordingly they can accept or reject the incoming booking requests. Furthermore, a simulated case study is also provided to validate the model. [ABSTRACT FROM AUTHOR]

The rapid growth of the global economy has boosted the shipping industry, but it has also increased energy consumption and exhaust emissions. Based on the system dynamics method, we construct a carbon abatement model of maritime supply chain, in which the interaction among company, economy, energy, environment, and policy is deeply analysed. The effect of various carbon abatement measures is simulated with a case study of Shanghai Port. The results prove that the shore power has tremendous potential for reducing emissions. Interestingly, the emission trading scheme has little effect on emission reduction. Conversely, it will increase CO2 emissions because of the vicious circle of higher CO2 production and decreased CO2 treatment capability. Case 4 is the best alternative for reducing CO2 emissions in maritime supply chain when combined measures are applied, regardless of the emission reduction effect or carbon emission intensity. Thus, it is most effective to mobilise all kinds of resources to reduce CO2 emissions when conditions permit. [ABSTRACT FROM AUTHOR]

Alkali metal catalysts show great application potential in the gasification process of coal attributed to their characteristics of high activity and reusability. However, this type of catalysts has strong water absorption, which causes the agglomerating during storage and limits pipeline transportation by water. In order to solve the hydration of alkali metal catalysts and to release them at the target temperatures, they were encapsulated by cost effective and environment friend inorganic materials. The capsules were fabricated through in situ formation of calcium carbonate as shell. The water resistance, water erosion resistance and shell rupture temperature of the capsules were tested. And the effect of temperature on the properties of capsules was studied. The microstructure and composition were characterized by SEM and XRD. The results showed that the best performance of the capsules was obtained after heat treatment at 600 °C, with the pH of catalyst solution was reduced from 13.65 to 10.89 before and after encapsulation. The percentage of capsule breakage after 2 h of water scouring was 8.46 %. And the catalysts were fully released between 700–750 °C due to the crack of shell. The shell was composed mainly of CaCO 3 -AlPO 4 -Al 4 (P 2 O 7) 3. The shell was porous in the middle, gradually denser outwards, and eventually formed a dense layer in the outer layer. This was attributed to the volume expansion caused by the reaction of calcium oxide and calcium hydroxide to form calcium carbonate. This study provides a novel approach for the transportation of alkali metal catalyst and expands its application in coal gasification. [Display omitted] • The alkali metal catalysts were successfully encapsulated by CaCO 3 shells. • The pH of catalyst was reduced from 13.65 to 10.89 before and after encapsulation. • The percentage of capsule breakage after 2 h of water scouring was 8.46 %. • The catalysts were fully released between 700–750 °C due to the crack of shell. [ABSTRACT FROM AUTHOR]

This paper proposes a decision support system (DSS) for optimizing cargo composition, and resulting stowage plan, in a containership of a shipping company in collaboration with en-route ports in the service. Due to considerable growth in transportation over years, an increasing number of containers are being handled by containerships, and ports consequently. Trade imbalances between regions and recent disruptions, such as LA/LB/Shanghai port congestion, blocking of Suez canal, drought in Panama canal, typhoons at ports, COVID-19 restrictions and the lack- and then over-supply of empty containers, have resulted in an accumulation of containers in exporting ports around the world. These factors have underscored the urgency of sustainability and circular economy within the shipping industry. The demand for container transportation is higher than the ship capacities in the recent times. In this regard, it is essential for shipping companies to generate a cargo composition plan for each service by selecting and transporting containers with relatively high financial returns, while offering a realistic stowage plan considering ship stability, capacity limitations and port operations. Ultimately, the selected containers should enable a ship stowage plan which keeps the ship seaworthy obeying complex stability considerations and minimizes the vessel stay at the ports, and port carbon emissions consequently, through efficient collaboration with en-route ports. This study provides a bi-level programming based DSS that selects the set of containers to be loaded at each port of service and generates a detailed stowage plan considering revenue, stowage efficiency and quay crane operational considerations. Numerical experiments indicate that the proposed DSS is capable of returning high-quality solutions within reasonable solution times for all ship sizes, cargo contents and shipping routes, supporting the principles of the circular economy in the maritime domain. [ABSTRACT FROM AUTHOR]

Autonomous navigation is critical to the development of next-generation shipping systems. The proposal of intelligent ships enables innovation in the shipping and shipbuilding industry and increases the safety and efficiency of ship operations. Autonomous control of surface ships to follow a prescribed trajectory is critical in a variety of maritime applications. This paper proposes a trajectory tracking control strategy for autonomous surface ships that combines nonparametric modelling using Gaussian Process Regression (GPR) with the Model Predictive Control (MPC) framework. A Bézier curve-based Virtual Ship(BVS) guidance strategy is proposed to convert dynamic trajectory points into reference heading angles and speeds, such that the trajectory tracking problem can be decomposed into heading control and speed control problems. Gaussian process regression is utilised to identify the correlation between propeller revolution speed and ship speed, as well as the correlation between rudder angle and heading angle based on experimental data. Two GPR models are therefore constructed as the prediction models for designing MPC controllers for heading control and speed control, respectively. Nonlinear optimisation algorithms are utilised to search for optimal control commands in each sampling interval to solve the optimisation problem in MPC with GPR models and input constraints. Simulations are carried out to evaluate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

The effects of global climate change have accelerated the melting of glaciers and the decline of sea ice coverage in the Arctic. In tandem with advancements in icebreaker and other shipping technologies, the navigability of Arctic shipping routes has dramatically improved. Given the geographical advantages of the Arctic region in terms of shipping routes and resource potential, various countries have implemented initiatives to secure a foothold in the Arctic shipping industry. However, the current shipping industry has not yet achieved the ideal state of netzero emissions, and the rapid increase in Arctic shipping has brought serious and even irreversible negative impacts on the Arctic environment. The study employs document and policy analyses to conduct an in-depth examination of legal and policy documents related to Arctic shipping, especially those from the past 5 years, systematically outlining the relevant legal and policy frameworks, as well as their historical context. At the same time, interdisciplinary research methods are utilized to comprehensively assess the new challenges. It is concluded that against the backdrop of the Arctic region's unique and fragile environment, the International Maritime Organization (IMO) and the Arctic Council are introducing increasingly stringent regulations for Arctic shipping, posing a complex array of challenges for the industry. Not only must it navigate the mounting pressure of emission reduction policies and intensifying public scrutiny but it must also overcome a multitude of complex technical and operational hurdles. Consequently, the joint efforts of the international community are essential to promote the sustainable development and emission reduction goals of the Arctic shipping industry. [ABSTRACT FROM AUTHOR]

Highlights: Ir-doped NiFe2O4 (NFI) spinel with TiO2 heterojunction overlayer brought about outstanding chlorine evolution reaction in circumneutral pH. Electroanalyses including operando X-ray absorption spectroscopy uncovered the active role of TiO2 for Cl− chemisorption. NFI/TiO2 anode boosted both NH4+-to-N2 conversion and H2 generation in wastewater, and the practical applicability was confirmed with scaled-up anodes and real wastewater. Wastewater electrolysis cells (WECs) for decentralized wastewater treatment/reuse coupled with H2 production can reduce the carbon footprint associated with transportation of water, waste, and energy carrier. This study reports Ir-doped NiFe2O4 (NFI, ~ 5 at% Ir) spinel layer with TiO2 overlayer (NFI/TiO2), as a scalable heterojunction anode for direct electrolysis of wastewater with circumneutral pH in a single-compartment cell. In dilute (0.1 M) NaCl solutions, the NFI/TiO2 marks superior activity and selectivity for chlorine evolution reaction, outperforming the benchmark IrO2. Robust operation in near-neutral pH was confirmed. Electroanalyses including operando X-ray absorption spectroscopy unveiled crucial roles of TiO2 which serves both as the primary site for Cl− chemisorption and a protective layer for NFI as an ohmic contact. Galvanostatic electrolysis of NH4+-laden synthetic wastewater demonstrated that NFI/TiO2 not only achieves quasi-stoichiometric NH4+-to-N2 conversion, but also enhances H2 generation efficiency with minimal competing reactions such as reduction of dissolved oxygen and reactive chlorine. The scaled-up WEC with NFI/TiO2 was demonstrated for electrolysis of toilet wastewater. [ABSTRACT FROM AUTHOR]

The growth of maritime shipping is leading to the creation of larger vessels. However, this expansion in size brings with it several challenges, including the development of maritime infrastructure, the potential for growth in third-world countries, and the emission of greenhouse gases. In response to these challenges, this research explores the feasibility of designing an autonomous ship capable of transporting a single standardized 40 ft. container overseas using mainly passive propulsion methods. Using advanced design tools, including CAD software and CFD simulations, as well as conducting a comprehensive analysis of relevant literature, the designs for a hull and sails were developed, and an overview of the potential active control systems required for autonomous operation was provided. The study also performed an initial analysis of strength, stability, and velocity to validate the design choices. The ship proves to adhere to the basic strength and stability requirements while reaching its maximum hull velocity at certain wind speeds. The results of the study indicate that it is possible to design and manufacture a mainly passively propelled ship capable of transporting a 40 ft. standardized container overseas and rethink the logistics at scale. [ABSTRACT FROM AUTHOR]

This article examines the role of Poland and Eastern Europe in shaping early post-colonial Nigeria from 1958 to 1970. It discusses the limited existing scholarship on this topic and the differing perspectives on Poland's involvement in the region. The article also explores the neglected aspect of shipping and its impact on newly independent African states. It further delves into the involvement of the Soviet Union and Poland in Nigeria during the Nigerian Civil War, highlighting their support for different factions. The article emphasizes Poland's growing economic relations with Nigeria during the Cold War and its success in securing contracts and providing shipping services. It also discusses the challenges faced from British opposition and the British government's concern over the increasing Eastern European presence in Nigeria. Despite political differences, Poland was able to expand its presence in Nigeria and foster economic growth. The article concludes that Poland's engagement in Africa had a significant impact on the Cold War events in the region. [Extracted from the article]

The article delves into the correlation between maritime traffic and economic growth in Guangdong Province, China's coastal area. By utilizing GIS technology and mathematical models, the study examines the advantages of maritime traffic, such as network density and port proximity, and quantitatively evaluates the economic development of each region. The research categorizes the regions into four zones based on a coupling-coordination model, offering practical recommendations for enhancing maritime traffic and economic progress in the area. The study underscores the significance of spatial analysis in understanding the interplay between maritime traffic and economic advancement, particularly in regions like the Pearl River Delta, where cities like Zhuhai, Shenzhen, and Guangzhou exhibit high levels of economic development. [Extracted from the article]

Navigation channels provide a vital link in the supply chain of inland transport. Excavation of sediment from the river bed and fluvial islands is necessary to make the large braided river navigable for transportation. Present research work investigates the feasibility of dredging operations in the mid-sand bars of the Brahmaputra River (Assam, India) for navigation purposes. Pernicious metal (Cu, Zn, Fe, Mn, Ni, Co, Cr, Pb, Cd) concentrations were assessed at 42 sampling locations, covering a reach length of approx. 600 km (reaches 1 and 2). Vertical samples were obtained from 0 cm, 50 cm, and 100 cm of the mid-sand bar. Various indices were evaluated to quantify the contamination level in the mid-sand bars. Based on the enrichment factor (EF), reach 2 was highly enriched with toxic metal-limiting dredging operation. Conversely, reach 1 was found suitable for dredging operations, owing to the low EF value. Various anthropogenic activities are likely to be the causative factor for the heavy metal enrichment in reach 2, including effluents from pharmaceutical industries, oil refineries, and industrial and domestic runoff. Statistical analysis also endorsed those heavy metals possess similar anthropogenic origins. Overall, the dredging can be feasible for reach 1 and at localized zones for reach 2 across the Brahmaputra River. Further, the study tries to present a suitable mitigation measure to carry out dredging operations and manage contaminated dredged sediment for reach 2. [ABSTRACT FROM AUTHOR]

Active control of the transportation of liquid drops on a horizontal surface is achieved using surfaces with switchable wettability via remote stimuli. However, the mechanism how the dynamic wettability influences drop dynamics is rarely reported. In this paper, we demonstrate that a surface with switchable wettability induces depinning of the contact line through re-orientation of anisotropic molecules. We investigated the dynamics of contact lines and contact angles during the initiation of drop movement by the advancing and receding angles of the surface. We found that imbalance between advancing and receding angles with respect to the dynamic contact angle provides the force needed to overcome the energy barrier due to contact angle hysteresis on the surface. We discovered that the driving energy is accumulated with oscillations in contact angle until it breaks the pinning energy barrier. Understanding the role of dynamic contact angles in drop movement on switchable surfaces paves the way for designing effective fluid manipulation devices, such as water harvesters, biosensors, and oil–water separators. [ABSTRACT FROM AUTHOR]

The rhizosheath, the layer of soil tightly attached to the roots, protects plants against abiotic stress and other adverse conditions by providing a bridge from the plant root system to the soil. It reduces the formation of air gaps between the root and soil and facilitates the transportation of water at the root–soil interface. It also serves as a favourable niche for plant-growth-promoting rhizobacteria in the surrounding soil, which facilitate the absorption of soil water and nutrients. This review compares the difference between the rhizosheath and rhizosphere, and summarises the molecular and physiological mechanisms of rhizosheath formation, and identifying the causes of rhizosheath formation/non-formation in plants. We summarise the chemical and physical factors (root hair, soil-related factors, root exudates, and microorganisms) that determine rhizosheath formation, and focus on the important functions of the rhizosheath in plants under abiotic stress, especially in drought stress, phosphorus deficiency, aluminium stress, and salinity stress. Understanding the roles played by the rhizosheath and the mechanisms of its formation provides new perspectives for improving plant stress tolerance in the field, which will mitigate the increasing environmental stress conditions associated with on-going global climate change. [ABSTRACT FROM AUTHOR]

Corresponding to marine environmental regulations is important in shipbuilding and marine industries. The application of lightweight composite materials on ships is an effective approach to reducing the emission of greenhouse gases. The mechanical fastening method is a good candidate to assemble composites and conventional metals. The joint geometric and environmental effects are two important factors in mechanically fastened ship and marine structures. In this study, we evaluated the W/D (hole diameter to width ratio) and environmental effects on the bearing strength and failure mode of a mechanically fastened non-crimp fabric (NCF) composite material. To consider the effect of joint geometry, wherein hole diameters of 5, 6, 8, and 10 mm were machined. Further, by selecting three environmental conditions (UV, saltwater and low temperature), we evaluated environmental effects on bearing strength and failure modes of NCF composite specimens. The bearing strength increased as W/D decreased, and the bearing strength of the specimen exposed to low temperature and UV environments increased, while that of the specimen exposed to saltwater remained the same. From the failure mode analysis, the specimen that was exposed to salt fog showed the same failure mode as the unaged specimen. It was observed that the changes in the transition section and new failure mode in the xenon arc and low-temperature specimens. [ABSTRACT FROM AUTHOR]

The liner shipping schedules determine the container transportation time and the arrival time of ships, which has a significant influence on the shipper selection behavior and the transportation demand. This paper addresses the container liner shipping schedule optimization with shipper selection behavior considered. Our problem is formulated as a mixed-integer nonlinear programming model, where the shipper selection behavior is evaluated by a nested logit model. A particle swarm optimization (PSO) framework embedded with CPLEX solver is designed, by combining the constraint relaxations and the linearization techniques with the heuristic rules. The numerical experiments are conducted based on the Persian Gulf route of COSCO SHIPPING LINES. The results show that: the total freight demand is increased by 23% and the weekly operation revenue is increased by 31% after considering shipper selection. Besides, we find that the planned ship speed should be increased for time-preference shippers with electronic or refrigerated products, while it should be decreased for price-preference shippers with general or bulk cargoes. These conclusions can provide decision support for the operation practice of liner shipping schedule design. [ABSTRACT FROM AUTHOR]

In this study, we propose an early warning system for the shipping industry in Korea using two approaches. The signal approach and the logit model are used to develop a comprehensive monitoring system. An early warning index based on the signal approach is constructed with 12 indicators. The index shows high accuracy in predicting crises. The logit model is then adopted to enhance the performance of the early warning system. The results of this study show that the complementary use of these two methods can establish an efficient market monitoring system. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has had a major impact on the container shipping and port industry in terms of its reach and scale. The research analyzes the impact of COVID-19 on hub port choice and shipping connectivity using the case of major container ports in Southeast Asia. This study enriches the definition of connectivity and proposes a new research approach that differentiates the order of port-call for mainline services. The research approach is applied to the case of major container ports in Southeast Asia for the Asia-Europe trade route. The study further analyzes hubbing strategies of major shipping lines and alliances with the application of data mining on global satellite ship data. Findings indicate shipping connectivity to have grown in Singapore particularly at the expense of Port Klang during the COVID-19 pandemic as evidenced by changes in the shipping networks of The Alliance and Ocean Alliance. The research offers important policy and managerial implications concerning the post-COVID competition landscape covering the aspects of joint venture terminals, shipping alliance networks, and container port development. [ABSTRACT FROM AUTHOR]

The maritime industry is currently experiencing a shift towards green corridors. The inland waterway is the main transportation corridor with a relatively low adoption of green technologies, which produces heavy air pollution in inland cities. This paper investigates the ship deployment problem for an inland river carrier considering the adoption of green fuel and green technologies for a given ship fleet. A non-linear programming (NLP) model is proposed to jointly optimize green technology adoption, sailing speed, and routing problems while considering two unique characteristics of inland river shipping, including the non-identical streamflow and the speed limits on each shipping leg. The analytical propositions reveal the optimal operation strategy of the inland river ship fleet, and a column generation-based algorithm is further designed to solve the proposed model. By jointly investigating the ship operation strategy and sulphur emissions, we find the following management insights: Firstly, the ship would have a lower willingness to invest in shore power (scrubber) if it installed scrubber (shore power). The higher streamflow and looser speed limits would reduce the spillover effect of green technology adoption. Secondly, emissions will spillover from ports to river legs if only shore power is provided. Our findings provide valuable insights for policymakers to promote complete green technology adoption to achieve comprehensive abatement of the entire inland river. • A NLP model is proposed to ship deployment problem with green technology adoption. • Effects of speed of inland river streamflow and speed limits are incorporated. • Solution properties and algorithms are derived to solve the proposed problem. • The spillover effects of green technology adoption are investigated. [ABSTRACT FROM AUTHOR]

As the receiving terminal of liquefied natural gas (LNG), the efficient emergency response of the floating storage and regasification unit (FSRU) is crucial to ensure the safety of LNG transportation at sea. However, few existing literature study the risk issues of FSRUs during emergency operations. In order to improve the emergency response capability of FSRU, this study proposes an innovative assessment method to identify hazards, quantify and rank the risks associated with emergency response and disposal operations of FSRU accidents. Firstly, a comprehensive index hierarchy system applicable to human, equipment, environment, and management aspects of emergency response and disposal operations of FSRU accident is established through an extensive literature review, analysis of accident reports, and expert judgments. Secondly, based on the concept of Intuitionistic Fuzzy Numbers, the Intuitionistic Fuzzy Hybrid Weighted Euclidean Distance (IFHWED) operator is used to enhance the conventional FMEA approach. This method considers the varying levels of expert confidence and integrates subjective and objective weights of risk influential factors (RIFs), and the efficacy is validated through sensitivity analysis. Finally, a comprehensive evaluation model employing the Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation algorithms is used to aggregate the risk values of RIFs. The findings of this study offer decision-makers insights into risks during emergency operation, provide valuable guiding strategies for FSRU accident management, and improve the capability for emergencies at sea. [ABSTRACT FROM AUTHOR]

Considering the intricate and ever-changing nature of the marine environment and the diverse range of sizes for targets involved in marine ship target recognition, which present challenges in detecting specific targets, a marine ship target detection algorithm has been developed based on an enhanced iteration of YOLOv5. Initially, the integration of dynamic snake convolution (DySnakeConv) into the feature extraction network and subsequent enhancement of the C3 module based on this integration were implemented. This integration enables dynamic adjustments based on the input image size, adaptive fusion of feature sequences, and resolution of accuracy and continuity issues during the recognition process. Subsequently, a novel hybrid encoder (FSI) was devised, utilizing target scale characteristics to enhance the extraction capability of multi-scale information, facilitating effective detection and recognition of objects within images. Finally, we selected the Shape-IOU bounding box loss function to mitigate fixed target frame issues and enhance target detection accuracy. Experimental evaluations were conducted utilizing the Infrared Maritime Ship dataset. The results demonstrated that our enhanced model achieved a prediction accuracy of 93.8% and an average precision (mAP) value of 93.89%, surpassing YOLOv8s by 1.2% and 1.8%, respectively. Moreover, there was an increase in recall rate by 2% compared to YOLOv8n while reducing parameters from 10,473,392 to 6,549,901 only. The computational load decreased by 6.3 GFLOps compared with YOLOV8n, resulting in better performance in ocean target detection and recognition. [ABSTRACT FROM AUTHOR]

Solar evaporators have demonstrated huge potential in sewage purification and clean water supply based on their cost‐effective and sustainable merits. However, it remains challenging to realize the stable purification of high‐concentration dye sewage over the long term. Here, by incorporating a heterojunction photocatalyst, a photothermal/catalytic integrated solar evaporator is conceived to stabilize the purification of high‐concentration dye sewage. It is composed of g‐C3N4@TiO2 heterojunction as the photocatalyst, carbon nanotubes (CNTs) as the photothermal materials, and polyvinyl alcohol (PVA) network as water transportation material. The high photocatalytic activity of heterojunction enables the g‐C3N4@TiO2/CNTs/PVA (CTCP) evaporator to photodegrade the accumulated dye molecules on its evaporation surface under light irradiation during purifying dye sewage. More remarkably, the integrated CTCP evaporator achieves a stable evaporation rate of 2.30 kg m−2 h−1 in 1 mg mL−1 RhB solution with continuous light irradiation for 100 h, exhibiting preeminent long‐term stability. With the capacities of long‐term stable and high‐rate purification of high‐concentration dye sewage, it is expected that this CTCP evaporator provides an effective alternative to treat high‐concentration dye sewage and has direct implications in engineering multifunctional solar evaporators for complex wastewater treatment. [ABSTRACT FROM AUTHOR]

We investigate the influence of precipitation patterns on the differences between Missouri corn and soybean elevator prices and nearby Chicago Board of Trade futures prices, also referred to as basis. Basis reflects the crop transportation network costs, and we use basis data to estimate the sensitivity of this network to precipitation. The estimates show that corn and soybean basis differ in terms of the immediate effect of weekly local precipitation. The growing‐season precipitation exhibits a U‐shaped relationship for both crops, reflecting the role of growing‐season precipitation on yields and the sensitivity of transportation system stress to crop volumes. We also find that the basis is affected by river transportation disruptions proxied by regional precipitation, which indicates when water levels might be too high or too low for normal barge traffic. Given the climate projections, there are concerns regarding precipitation's influence on the infrastructure that links Missouri crops to export facilities, crop growing conditions, and collection point disruptions. Hence, this research speaks to both the state of this part of the food system now and the potential impacts of changing weather patterns on the US crop distribution network. [EconLit Citations: Q13, L90]. [ABSTRACT FROM AUTHOR]

[Purpose] The threat of cyber-attacks is very acute. The purpose of this paper is to examine the need of the amendment of rules of international law required for the cyber resilient enterprise. [Methodology] This paper proposes a novel approach investigating whether the amendment of rules of international law is required for the cyber resilient enterprise. The methodology of international legal research and analysis of data is applied. [Findings] The analyses in this paper show the impact of the cyber security on the shipping industry. The proposals of documents on cyber security and recommendations for maritime cyber risk management are discussed. [Practical Implications] This study is useful for practitioners to consider and evaluate the cyber security. This study is useful for graduate students as well. [Originality] Although some research is being conducted in this area, maritime cybersecurity has not been deeply investigated. This paper presents a detailed analysis of legal documents and research published in international studies on the law of cyber security for maritime industry highlighting security problems and challenges. [ABSTRACT FROM AUTHOR]

Cargo terminals, as pivotal hubs of mechanical activities, maritime shipping, and land transportation, are significant sources of air pollutants, exhibiting considerable spatiotemporal heterogeneity due to the complex and irregular nature of emissions. This study employed a high-density air sensor network with 17 sites across four functional zones in two Shanghai cargo terminals to monitor NO and NO2 concentrations with high spatiotemporal resolution post sensor data validation against regulatory monitoring stations. Notably, NO and NO2 concentrations within the terminal surged during the night, peaking at 06:00 h, likely due to local regulations on heavy-duty diesel trucks. Spatial analysis revealed the highest NO concentrations in the core operational areas and adjacent roads, with significantly lower levels in the outer ring, indicating strong emission sources and limited dispersion. Employing the lowest percentile method for baseline extraction from high-resolution data, this study identified local emissions as the primary source of NO, constituting over 80% of total emissions. Elevated background concentrations of NO2 suggested a gradual oxidation of NO into NO2, with local emissions contributing to 32–70% of the total NO2 concentration. These findings provide valuable insights into the NO and NO2 emission characteristics across different terminal areas, aiding decision-makers in developing targeted emission control policies. [ABSTRACT FROM AUTHOR]

Decarbonization has significant operational implications for ships, fuel resources, and ports. Sustainable management is highly prioritized by ship owners and port authorities. The shipping industry must develop appropriate strategies to achieve zero carbon emissions by 2050 and support the 2030 United Nations sustainable development goals. Tugboats, a ubiquitous vessel in Taiwanese ports, were selected as the subject of this study. Implementing hybrid power systems in response to the growing trend of carbon reduction was explored. This study involves various stakeholders in Taiwan, including ship owners, port agency representatives, and other relevant parties. Assessing investment costs, market demand, and policy guidance is highly significant. Establishing a positive cycle is necessary to encourage tugboat operators to adhere to sustainable management practices and environmental protection measures. This entails providing incentives through policy measures that enable tugboat operators to gain cost advantages and balance environmental, economic, and societal needs within an expanding market. [ABSTRACT FROM AUTHOR]

With the development and application of artificial intelligence (AI) in the shipping industry, using AI to replace traditional draft survey methods in bulk carriers can significantly reduce manpower, lower the risks associated with visual observations, improve measurement accuracy, and minimize the impact of human subjective factors. Ultimately, the integration of software and hardware technologies will replace human visual observations with automated draft measurement calculations. A similar anti-fluctuation device described in this article has been used in ship draft observation based on AI-assisted proving, which can ease the fluctuation of the wave inside the pipe. Observers can directly read the water surface inside the pipe and compare it to the ship's draft mark to obtain the final draft, effectively improving draft observation accuracy. However, some surveyors refuse to accept the readings obtained from this device, citing a lack of theoretical basis or the absence of accreditation from relevant technical authorities, leading to the rejection of results. To address these issues, this paper integrates wave energy attenuation theory with PaddlePaddle-OCR recognition to further validate the anti-fluctuation device for accurate ship draft observation. The experimental results are as follows: first, the pipe effectively suppresses the amplitude of external water surface fluctuations by 75%, explaining the fundamental theory that wave heights within the anti-fluctuation device are consistent with external swell heights. When taking a draft measurement, the system dynamically adjusts the position of the main tube in response to the ship's movements, maintaining the stability of the measurement section and significantly reducing the difficulty of observations. Due to the reduction in fluctuation amplitude, there is a noticeable improvement in observation accuracy. [ABSTRACT FROM AUTHOR]

Marine sources contribute approximately 2% of global energy-related CO₂ emissions, with the shipping industry accounting for 87% of this total, making it the fifth-largest emitter globally. Environmental regulations by the International Maritime Organization (IMO), such as the MARPOL (International Convention for the Prevention of Pollution from Ships) treaty, have driven the exploration of alternative green energy solutions, including nuclear-powered ships. These ships offer advantages like long operational periods without refueling and increased cargo space, with around 200 reactors already in use on naval vessels worldwide. Among advanced reactor concepts, the molten salt reactor (MSR) is particularly suited for marine applications due to its inherent safety features, compact design, high energy density, and potential to mitigate nuclear waste and proliferation concerns. However, MSR systems face significant challenges, including tritium production, corrosion issues, and complex behavior of volatile fission products. Understanding the impact of marine-induced motion on the thermal–hydraulic behavior of MSRs is crucial, as it can lead to transient design basis accident scenarios. Furthermore, the adoption of MSR technology in the shipping industry requires overcoming regulatory hurdles and achieving global consensus on safety and environmental standards. This review assesses the current progress, challenges, and technological readiness of MSRs for marine applications, highlighting future research directions. The overall technology readiness level (TRL) of MSRs is currently at 3. Achieving TRL 6 is essential for progress, with individual components needing TRLs of 4–8 for a demonstration reactor. Community Readiness Levels (CRLs) must also be addressed, focusing on public acceptance, safety, sustainability, and alignment with decarbonization goals. [ABSTRACT FROM AUTHOR]

The ability to classify and recognize maritime targets based on visual images plays an important role in advancing ship intelligence and digitalization. The current target recognition algorithms for common maritime targets, such as buoys, reefs, other ships, and bridges of different colors, face challenges such as incomplete classification, low recognition accuracy, and a large number of model parameters. To address these issues, this paper proposes a novel maritime target recognition method called DTI-YOLO (DualConv Triple Attention InnerEIOU-You Only Look Once). This method is based on a triple attention mechanism designed to enhance the model's ability to classify and recognize buoys of different colors in the channel while also making the feature extraction network more lightweight. First, the lightweight double convolution kernel feature extraction layer is constructed using group convolution technology to replace the Conv structure of YOLOv9 (You Only Look Once Version 9), effectively reducing the number of parameters in the original model. Second, an improved three-branch structure is designed to capture cross-dimensional interactions of input image features. This structure forms a triple attention mechanism that accounts for the mutual dependencies between input channels and spatial positions, allowing for the calculation of attention weights for targets such as bridges, buoys, and other ships. Finally, InnerEIoU is used to replace CIoU to improve the loss function, thereby optimizing loss regression for targets with large scale differences. To verify the effectiveness of these algorithmic improvements, the DTI-YOLO algorithm was tested on a self-made dataset of 2300 ship navigation images. The experimental results show that the average accuracy of this method in identifying seven types of targets—including buoys, bridges, islands and reefs, container ships, bulk carriers, passenger ships, and other ships—reached 92.1%, with a 12% reduction in the number of parameters. This enhancement improves the model's ability to recognize and distinguish different targets and buoy colors. [ABSTRACT FROM AUTHOR]

The rapid development of artificial intelligence has greatly ensured maritime safety and made outstanding contributions to the protection of the marine environment. However, improving maritime safety still faces many challenges. In this paper, the development background and industry needs of smart ships are first studied. Then, it analyzes the development of smart ships for navigation from various fields such as the technology industry and regulation. Then, the importance of navigation technology is analyzed, and the current status of key technologies of navigation systems is deeply analyzed. Meanwhile, this paper also focuses on single perception technology and integrated perception technology based on single perception technology. As the development of artificial intelligence means that intelligent shipping is inevitably the trend for future shipping, this paper analyzes the future development trend of smart ships and visual navigation systems, providing a clear perspective on the future direction of visual navigation technology for smart ships. [ABSTRACT FROM AUTHOR]

The application of artificial intelligence models for the fault diagnosis of marine machinery increased expeditiously within the shipping industry. This relates to the effectiveness of artificial intelligence in capturing fault patterns in marine systems that are becoming more complex and where the application of traditional methods is becoming unfeasible. However, despite these advances, the lack of fault labelling data is still a major concern due to confidentiality issues, and lack of appropriate data, for instance. In this study, a method based on histogram similarity and hierarchical clustering is proposed as an attempt to label the distinct anomalies and faults that occur in the dataset so that supervised learning can then be implemented. To validate the proposed methodology, a case study on a main engine of a tanker vessel is considered. The results indicate that the method can be a preliminary option to classify and label distinct types of faults and anomalies that may appear in the dataset, as the model achieved an accuracy of approximately 95% for the case study presented. [ABSTRACT FROM AUTHOR]

This paper aims to systematically review and analyze the literature on green shipping, focusing on research trends, key areas, and future directions. A bibliometric analysis is conducted on 1339 articles published between 2000 and 2023, using data from the SCI-EXPANDED and SSCI core collections on the Web of Science platform. Co-occurrence analyses are performed for authors, countries, institutions, and keywords. The analysis reveals exponential growth in green shipping research over the past decade, with a significant increase since 2019. China leads in publication output and international collaboration. Key research areas identified include sustainable development, green energy, green ports, and green supply chain management. Green shipping research is rapidly expanding, emphasizing sustainable practices and technological advancements. Future research is expected to integrate artificial intelligence, big data analytics, and other advanced technologies to further promote sustainability. Strengthening international cooperation and interdisciplinary integration will be crucial for advancing the global green shipping agenda. [ABSTRACT FROM AUTHOR]

Ship detection faces significant challenges such as dense arrangements, varying dimensions, and interference from the sea surface background. Existing ship detection methods often fail to accurately identify ships in these complex marine environments. This paper presents OptiShipNet, an efficient network for detecting ships in complex marine environments using optical remote sensing images. First, to effectively capture ship features from complex environments, we designed a DFC-ConvNeXt module as the network's backbone, where decoupled fully connected (DFC) attention captures long-distance information in both vertical and horizontal directions, thereby enhancing its expressive capabilities. Moreover, a simple, parameter-free attention module (SimAM) is integrated into the network's neck to enhance focus on ships within challenging backgrounds. To achieve precise ship localization, we employ WIoU loss, enhancing the ship positioning accuracy in complex environments. Acknowledging the lack of suitable datasets for intricate backgrounds, we construct the HRSC-CB dataset, featuring high-resolution optical remote sensing images. This dataset contains 3786 images, each measuring 1000 × 600 pixels. Experiments demonstrate that the proposed model accurately detects ships under complex scenes, achieving an average precision (AP) of 94.1%, a 3.2% improvement over YOLOv5. Furthermore, the model's frame per second (FPS) rate reaches 80.35, compared to 67.84 for YOLOv5, thus verifying the approach's effectiveness. [ABSTRACT FROM AUTHOR]

A novel Boundary Element Method (BEM) is presented for predicting the hydrodynamic behavior of twin-hull vessels, traveling at low speeds, aiming to quantify the benefits of integrating solar technology onboard. In particular, the power requirements of an electric 33 m long twin-hull ship are examined. The study discusses the placement of solar panels on deck and assesses their utilization in terms of real-time energy generation, aiming to extend the autonomy range while also reducing carbon emissions. The discussed methodology predicts the power needs by considering various operational variables, design specifications and hydrodynamic principles. In addition, it addresses the viability and possible advantages of integrating solar technology onboard and provides preliminary estimates regarding the extent to which solar energy may compensate for power needs, based on several factors, including the velocity, the prevailing sea state and the incident solar irradiance. The results provide useful information regarding the utilization of solar energy in the shipping sector, in addition to advancing sustainable maritime propulsion. [ABSTRACT FROM AUTHOR]

The water exit problem, which is ubiquitous in ocean engineering, is a significant research topics in the interaction between navigators and water. The study of the water exit problem can help to improve the structural design of marine ships and underwater weapons, allowing for better strength and movement status. However, the water exit problem involves complex processes such as three-phase gas–liquid–solid coupling, cavitation, water separation, liquid surface deformation, and fragmentation, making it challenging to study. Following work carried out by many researchers on this issue, we summarize recent developments from three aspects: theoretical research, numerical simulation, and experimental results. In theoretical research, the improved von Karman model and linearized water exit model are introduced. Several classical experimental devices, data acquisition means, and cavitation approaches are introduced in the context of experimental development. Three numerical simulation methods, namely, the BEM (Boundary Element Method), VOF (Volume of Fluid), and FVM (Finite Volume Method) with LES (Large Eddy Simulation) are presented, and the respective limitations and shortcomings of these three aspects are analyzed. Finally, an outlook on future research improvements and developments of the water exit problem is provided. [ABSTRACT FROM AUTHOR]

Maritime transport is the most widely used means of transporting goods, and forecasts indicate that it will continue to grow in the coming years, which is why the IMO is regulating energy efficiency and emissions from maritime transport with exhaustive monitoring. The most widely used measure of energy efficiency during operation on a ship is the Energy Efficiency Operational Indicator (EEOI); however, the difficulty in obtaining references for this indicator, together with the great variability that exists between shipowners when choosing terms such as "cargo transported", among others, means that this operational indicator of energy efficiency in ships does not have the expected results. This work develops a two-phase procedure for the selection of representative EEOI values for ships, taking into account parameters such as ship speed, cargo, mode of operation and the subsequent determination of a suitable control system that allows the continuous and real-time implementation of measures to improve energy and environmental efficiency on the ship. The proposed final procedure is effective in terms of improving energy efficiency and emissions, on top of being simple, easily implementable, working in real time and adapting to navigation circumstances while keeping emissions under control. [ABSTRACT FROM AUTHOR]

Situated in central China, the region surrounding Mount Song is a pivotal area within the Central Plains, renowned for its extensive and high-grade cultural heritage. This study aims to analyze the spatiotemporal distribution of this heritage using advanced spatial pattern analysis methods, including the Average Nearest Neighbor Ratio and Kernel Density Estimation within ArcGIS. Our findings reveal a distinct continuity in temporal distribution and a pronounced clustering in spatial terms. By investigating the underlying factors such as the geographical setting, historical political capitals, cultural and religious influences, water transportation systems, and traditional Fengshan ceremonies, this research elucidates the dynamics shaping this distribution. This study's outcomes provide essential insights for policymakers and stakeholders involved in the protection and revitalization of cultural heritage, ensuring informed decision making for sustainable cultural conservation. [ABSTRACT FROM AUTHOR]

The onset of autonomous inland shipping comes with regulatory challenges. First, regulations currently in place do not permit the operation of autonomous ships, mainly due to crewing requirements. Second, autonomous transport modes are deemed to be disruptive technologies that present a particular challenge to public regulators with regard to their potential for unforeseen risks and uncertainties inherent to their implementation. From a public regulator's perspective, it is, therefore, of the utmost importance to identify and regulate the factors currently hindering the introduction of autonomous inland shipping, on the one hand, and the newly emerging issues, on the other hand, to minimise potential risk and uncertainty as much as possible. This paper presents a systematic literature review which was conducted to answer the research question: What factors influence the regulation of autonomous inland shipping? Following the outcome of the literature review, various factors could be identified, and four main categories of factors were established: technological, infrastructure, institutional and socio-economic readiness. The identified factors were subsequently discussed with regard to their significance for the regulatory agenda in light of factors found in the literature on autonomous maritime ships. The findings are of relevance for public regulators and policymakers working in the field of autonomous inland shipping. Moreover, the results presented in this paper might be also of interest for those seeking regulatory innovation regarding autonomous processes in other modes of transport. [ABSTRACT FROM AUTHOR]

AbstractMarine dredged-sediment(DS) is often transported through pipelines, where factors such as the solid volume concentration and transport rate can significantly influence the efficiency of the process. Inadequate selection of transport rates for a given solid volume concentration can lead to substantial energy losses. The pressure loss ΔPL or pressure loss gradient ΔPL/L are critical parameters for assessing energy loss during pipeline transport. In this study, large-scale indoor experiments on DS pipeline transport were conducted to investigate the effects of the cross-sectional mean flow velocity Vavg and solid concentration ϕ on the transport characteristics of DS. The results show that at higher solid volume concentrations, ΔPL/L increases rapidly with the square of Vavg and then plateaus, followed by a linear growth phase. In addition, a linear relationship is observed between lgf and lgVavg when the flow velocity is below critical velocity (Vavg)critical; above (Vavg)critical, the friction factor f stabilizes at f0. Formulas for calculating (Vavg)critical, f0 and ϕ were developed. Additionally, a method for determining the optimal transport velocity of DS at varying volume concentrations was established, enabling the identification of the most efficient flow velocity for DS pipeline transportation across different concentrations.HIGHLIGHTSPipeline model tests were conducted on marine dredged sediments.A formula for predicting pressure loss on the basis of solid concentration was derived.The impact of the solid concentration on the Darcy friction factor was determined.A method for determining the optimal transport velocity was established.Pipeline model tests were conducted on marine dredged sediments.A formula for predicting pressure loss on the basis of solid concentration was derived.The impact of the solid concentration on the Darcy friction factor was determined.A method for determining the optimal transport velocity was established. [ABSTRACT FROM AUTHOR]

In the context of the global response to climate change, the shipping industry is facing unprecedented pressure and challenges to reduce emissions. Under the unified leadership of International Maritime Organization (IMO), the international community has begun to take actions to promote the development of the shipping industry in a more environmentally friendly and sustainable direction. As an IMO category (a) member, China is promulgating a series of emission reduction policies to guide the green transformation of its shipping industry. This study first examines China's recent shipping emission reduction policy post "dual carbon" proposal, assessing its key focus and the current efficacy of China's shipping emission reduction governance. Based on this, the study examines the challenges China face in reducing shipping emissions. By drawing on global emission reduction practices, we suggest policy measures for China to enhance its efforts and help the shipping industry move towards achieving netzero emissions. [ABSTRACT FROM AUTHOR]

PurposeMethodologyFindingsOriginalityResearch implicationsPractical implicationsThe general purpose of shipping market prediction is to help shipping analysts design a strategy to make shipping strategies. Previous studies have pointed out human emotions has an obvious impact on markets, however, few research focus on utilizing human emotions to improve the shipping market forecasting issue. This paper fills the gap in the literature of considering industrial individual emotions to shipping market prediction issueWe proposed a conceptual framework of an emotion-based shipping market prediction (ESMP) system focused on considering the multidimensional emotions of individual investors. To make it precisely, a two-fold Particle Swarm Optimization (TFPSO) algorithm is proposed conduct the shipping forecasting under the framework of ESMP, with advantages of automatically finding the architecture and hyperparameters of the Deep Long Short-Term Memory (DLSTM) simultaneously in the shipping market forecasting the values of the Baltic Dry, Dirty Tanker and Container indices of ocean transportation in the world ocean during the crisis period 2010–2022The prediction accuracy of the ESMP was higher than that of the models using the conventional factors in all learning periods of the study, and it was determined that the results complement the sentiment indicator employed to predict the shipping indices. Additionally, the accuracy of the proposed method is superior to conventional neural network models in all used error metrics. Additional Mann–Whitney U test on MSE difference between TFPSO-DLSTM and compared models demonstrates that the significant advantages boosted by TFPSO-DLSTMShipping sentiment has provided further proof that shipping decisions are significantly driven by emotions. our study shows that individual shipping investors’ sentiment are able to improve shipping rate forecasts significantly, although the magnitudes of the improvements are relatively small from an economic point of viewThis study undertook the initiative to procure BDI, BDTI, BCTI, COVID-19 data and shipping sentiment index data through in-depth interviews to provide first-hand perspectives into whether shipping sentiments impact the shipping market trend. It builds upon existing literature on the present stance of deep learning models, which largely relies non-sentiment factors. The study also extends prior literature on hyperparameter searching methods by highlighting the structure of searching method. Besides this, the contribution of this study also aligns with the prior discussions on evolving methodologies in temporal forecasting researchThis study implies that shipping sentiments enables to make better shipping marketing trends, and foster sustainable growth. Shipping fear index serves for measuring investors’ attitude and mood toward shipping markets in terms of the general and certain sectors or assets, possibly promoting the movement of price and providing long-term investors and active traders with trading or arbitrage opportunities. Due to the complexities and regulations of the shipping market, it is essential to collaborate exclusively with shipping sentiment indices with artificial intelligent model in shipping market forecasting research [ABSTRACT FROM AUTHOR]

In recent years, large power batteries have been widely used not only in automobiles and other vehicles but also in maritime vessels. The thermal uniformity of large marine battery packs significantly affects the performance, safety, and longevity of the electric ship. As a result, the thermal management of large power batteries has become a crucial technical challenge with traditional battery management system (BMS) that cannot effectively solve the battery heating problem caused by electrochemical reactions and joule heating during operation. To address this gap, a battery thermal management system (BTMS) has been newly designed. This article presents the design of a large marine battery pack, which features a liquid cooling system integrated into both the bottom and side plates of each pack. The flow plate is constructed from five independent units, each connected by manifold structures at both ends. These connections ensure the formation of a stable and cohesive flow plate assembly. Although research on the BTMS is relatively advanced, there is a notable lack of studies examining the effects of liquid temperature, flow rate, and battery discharge rate on the temperature consistency and uniformity of large marine battery packs. This work seeks to design the cooling system for the battery pack and analyzes the impact of the temperature, flow rate, and battery discharge rate of the liquid fluid on the consistency and uniformity of the battery pack temperature on the overall structure of the battery pack. It was found that, in low discharge conditions, there was good temperature consistency between the battery packs and between the different batteries within the battery pack, and the temperature difference did not exceed 1 °C. However, under high discharge rates, a C-rate of 4C, there might have been a decrease in temperature consistency; the temperature rise rate even exceeded 50% compared to when the discharge rate was low. The flow rate in the liquid flow characteristics had little effect on the temperature consistency between the batteries and the temperature uniformity on the battery surface, and the temperature fluctuation was maintained within 1 °C. Conversely, the liquid flow temperature had little effect on the temperature distribution between the batteries, but it caused discrepancies in the surface temperature of the batteries. In addition, the liquid flow temperature could cause the overall temperature of the battery to increase or decrease, which also occurs under different discharge rates. [ABSTRACT FROM AUTHOR]

There is a growing need to implement modern technologies, such as digital twinning, to improve the efficiency of transport fleet maintenance processes and maintain company operational capacity at the required level. A comprehensive review of the existing literature is conducted to address this, offering an up-to-date analysis of relevant content in this field. The methodology employed is a systematic literature review using the Primo multi-search tool, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The selection criteria focused on English studies published between 2012 and 2024, resulting in 201 highly relevant papers. These papers were categorized into seven groups: (a) air transportation, (b) railway transportation, (c) land transportation (road), (d) in-house logistics, (e) water and intermodal transportation, (f) supply chain operation, and (g) other applications. A notable strength of this study is its use of diverse scientific databases facilitated by the multi-search tool. Additionally, a bibliometric analysis was performed, revealing the evolution of DT applications over the past decade and identifying key areas such as predictive maintenance, condition monitoring, and decision-making processes. This study highlights the varied levels of adoption across different transport sectors and underscores promising areas for future development, particularly in underrepresented domains like supply chains and water transport. Additionally, this paper identifies significant research gaps, including integration challenges, real-time data processing, and standardization needs. Future research directions are proposed, focusing on enhancing predictive diagnostics, automating maintenance processes, and optimizing inventory management. This study also outlines a framework for DT in transportation systems, detailing key components and functionalities essential for effective maintenance management. The findings provide a roadmap for future innovations and improvements in DT applications within the transportation industry. This study ends with conclusions and future research directions. [ABSTRACT FROM AUTHOR]

The eastward displacement of Southwest Vortices (SWVs) profoundly impacts the precipitation in the middle and lower reaches of the Yangtze River Basin (YRB) in summer. At present, the feedback mechanism of latent heating on the persistent eastward movement of SWVs under the influence of the orographic effect of the second‐step terrain in China remains unclear. Therefore, this study focused on clarifying the relationship between orographic effects and the mechanisms governing the persistent eastward movements of SWVs, as well as the feedback effect of latent heating on the eastward‐moving SWVs. In this study, it is revealed that discontinuous maintenance of closed vortex circulation occurs when eastward‐moving SWVs pass over the second‐step terrain region. Specifically, eastward‐moving SWVs first experience dissolution on the windward side, followed by substantial reconstruction of closed vortex circulation on the leeward side when passing over the second‐step terrain region. Moreover, the reconstruction of closed vortex circulation on the leeward side is closely associated with the feedback effect of latent heating, and the microphysical property of cold clouds identified during the vortex intensification determines the dual‐peak feature observed in the vertical constitution of the total latent heating, which is related to two major phase‐transition processes: the condensation of water vapor into liquid‐phase hydrometeors (LCP_vapor) process and the desublimation of water vapor into ice‐phase hydrometeors (LSP_vapor) process. From a potential vorticity (PV) perspective, latent heating promotes the genesis of PV anomalies, which accordingly facilitates the maintenance of a positive "vorticity tower" (i.e., total budget of vorticity) via the tilting effect and the horizontal advection effect of local vorticity. Further sensitivity experiments of latent heating indicated that latent heating associated with the LCP_vapor process fulfills a more important role in sustaining the positive "vorticity tower" than does that associated with the LSP_vapor process during the vortex intensification. Plain Language Summary: This study focused on clarifying the relationship between the orographic effect of the second‐step terrain and the vertical distribution of latent heating, as well as unraveling the feedback mechanism of latent heating on the intensification of vortices downstream of the second‐step terrain. The microphysical properties of cold clouds are further highlighted during the intensification of vortices, and the vertical profile of latent heating exhibits double‐peak features correspondingly. This is associated with two categories of phase‐transition processes: the condensation of water vapor into liquid‐phase hydrometeors (i.e., LCP_vapor) and the desublimation of water vapor into ice‐phase hydrometeors (i.e., LSP_vapor). Further analysis confirms that the topographically enhanced convection downstream of the second‐step terrain provides favorable dynamic conditions for further vertical transportation of water vapor, which substantially facilitates the LCP_vapor and LSP_vapor processes. Latent heating is conducive to the genesis of PV anomalies and facilitates the maintenance of a positive "vorticity tower" via the tilting effect and the horizontal advection effect of local vorticity, which plays crucial roles in strengthening vortices. Key Points: The evolution of vortices indicates the closed vortices is not a continuous maintenance process during the eastward propagation of the SWVsA causal relationship is established between the orographic effect of the second‐step terrain and the latent heating via convectionThe condensation process of water vapor plays the most decisive role in affecting the feedback effect of latent heating [ABSTRACT FROM AUTHOR]

The shipping industry is facing a shortage of seafarers and a high turnover rate which highlights the critical importance of seafarers’ job satisfaction and commitment. This study investigates the intricate relationships among organisational justice, job satisfaction, and organisational commitment among seafarers working in international merchant vessels. This study specifically examines the impact of organisational justice, which encompasses distributive justice (DJ), procedural justice (PJ), and interactional justice (IJ), on organisational commitment with the mediating role of job satisfaction of international seafarers. Utilising a unique dataset from 211 seafarers representing major seafaring nationalities, this study employs structural equation modelling (SEM) to analyze the relationships. The findings of this study shed light on how seafarers’ perceptions of equality and fairness in resource distribution, management policies and procedures, and the quality of interpersonal treatment affect their job satisfaction and, in turn, their commitment to their employing organisations. This study uses a unique data set collected from seafarers from the major seafaring nations that has not been done in previous studies. Moreover, this study, for the first time, includes all three dimensions of organisational justice and explores their impact on the overall justice perception of seafarers. [ABSTRACT FROM AUTHOR]

Effective ground transportation modes linkage with the seaport plays a crucial role in facilitating smooth cargo movement from marine transportation mode to the inland areas and vice versa. Unlike road transportation, rail linkage is a cost-effective and environmentally friendly option. Inadequate sea rail connectivity within the seaport hampers cargo movement speed and impacts overall port capacity. This systematic review places emphasis on sea rail intermodal transportation at the seaport. The review categorizes and analyses previous research contributions to the sea-rail intermodal transportation system, and is organized into five categories: performance evaluation, problem-solving methodologies, planning issues, factors affecting sea rail intermodal transportation, and enhancement strategies within the context of sea rail intermodal transportation. The study discerns current research patterns and identifies gaps within the existing literature while also offering insights into potential future research avenues. [ABSTRACT FROM AUTHOR]

CO2 emission reduction of sectors such as aviation, maritime shipping, road haulage, and chemical production is challenging but necessary. Although these sectors will most likely continue to rely on carbonaceous energy carriers, they are expected to gradually shift away from fossil fuels. In order to do so, the prominent option is to utilize alternative carbon sources--like biomass and CO2 originating from carbon capture--for the production of non-fossil carbonaceous vectors (biofuels and e-fuels). However, the limited availability of biomass and the varying nature of other carbon sources necessitate a comprehensive evaluation of trade-offs between potential carbon uses and existing sources. Then, it is primordial to understand the origin of carbon used in sustainable aviation fuel (SAF) to understand the implications of defossilizing aviation for the energy system. Moreover, the production of SAF implies deep changes to the energy system that are quantified in this work. This study utilizes the linear programming cost optimization tool EnergyScope TD to analyze the holistic French energy system, encompassing transport, industry, electricity, and heat sectors while ensuring net greenhouse gas neutrality. A novel method to model and quantify carbon flows within the system is introduced, enabling a comprehensive assessment of greenhouse gas neutrality. This study highlights the significance of fulfilling clean energy requirements and implementing carbon dioxide removal measures as crucial steps toward achieving climate neutrality. Indeed, to reach climate neutrality, a production of 1,046 TWh of electricity by non-fossil sources is needed. Furthermore, the findings underscore the critical role of efficient carbon and energy valorization from biomass, providing evidence that producing fuels by combining biomass and hydrogen is optimal. The study also offers valuable insights into the future cost and impact of SAF production for air travel originating from France. That is, the European law ReFuelEU would increase the price of plane tickets by +33% and would require 126 TWh of hydrogen and 50 TWh of biomass to produce the necessary 91 TWh of jet fuel. Finally, the implications of the assumption behind the production of SAF are discussed. [ABSTRACT FROM AUTHOR]