Maritime Areas Research Articles

Conceptul A2/AD (Anti Access/Area Denial) – între teorie și practică

A continued deficit in NATO’s ability to provide permanent security wherever and whenever the allied states’ political interests demand may result in the Alliance failing to maintain internal cohesion and to deter potential geopolitical adversaries. This aspect, constantly hoped for and speculated by the Russian Federation, starting with the resumption of the offensive at the beginning of the 21st century, especially after the annexation of Crimea, has led to a proper dosage of the ingredients that laid the foundation of the A2/AD concept. Understanding the role A2/AD plays in Russia’s doctrinal thinking is as critical as allocating the resources to counter it. A full change in Russia’s strategy in this regard for the Black Sea region is very unlikely, especially after the interdiction capabilities have reached a satisfactory level of operationalization and remain the only ones that guarantee optimal control of the maritime area, thus making it possible to continue ground operations in Ukraine.

Controversies and amendment proposals on the China Coast Guard Law

The China Coast Guard Law (CCGL) is legislation around the China Coast Guard (CCG). Its purpose is to regulate and guarantee the fulfilment of the CCG’s duties, addressing the lack of systematic regulation of the CCG’s rights protection and law enforcement. The CCG possesses administrative, military, and judicial attributes. Its function is to safeguard China’s legitimate maritime rights and interests, promote the construction of a regional harmonious and symbiotic maritime order, and contribute to the establishment of a global just and civilized maritime order. The formulation and implementation of the CCGL have faced challenges. Disputes over its application have mainly centred on four aspects: the definition of jurisdictional marine areas, types of law enforcement, immunity for warships and government ships, and the use of force. The enactment of the CCGL strictly adhered to China’s legislative procedures, and the content of its provisions aligns with the requirements of international law. However, there are deficiencies in the CCGL, necessitating the refinement of rules on the use of force, clarification of criteria for determining infringement by foreign warships and government ships, distinction between the principles of law enforcement in different maritime areas, and the establishment of a mechanism for the settlement of disputes over maritime law enforcement and maintenance of rights.

Policy Analysis for Building Resilience in the Maritime Area Through Bhakti Operations in Coastal Communities

Coastal areas have large potential economic resources and are full of problems that disturb and threaten the country's defense and security. So it is important to empower coastal communities as objects of non-military operations using various approaches. For this reason, this research aims to analyze policies for developing maritime area resilience (Bintahwilmar) through community service operations in coastal communities. This qualitative research with a descriptive analysis approach takes policy objects in the Pangkalan Utama V Surabaya area, and collects data through documents and interviews. Analysis was carried out using a data interpretation approach. The results of the policy analysis can explain that coastal area development requires a holistic and collaborative approach involving the government, Indonesian Navy, local communities and various related parties. Community welfare is an important aspect in developing coastal areas, including through renovation programs and building livable houses. Cooperation between the government and the Indonesian Navy is based on the principles of democracy, human rights, transparency, accountability, community participation and environmental sustainability between the East Java Provincial Government and the Indonesian Navy. An important finding from this research is that the principles and elements underlying Ansell Collaborative Governance demonstrate the relevance and applicability of policy analysis models in the context of coastal development.

Ocean quadcopters: persistent and autonomous aerial surveillance of large maritime areas by quadcopters self-powered by ocean waves

Ocean quadcopters: persistent and autonomous aerial surveillance of large maritime areas by quadcopters self-powered by ocean waves

Trajectory-Aware Offloading Decision in UAV-Aided Edge Computing: A Comprehensive Survey.

Recently, the integration of unmanned aerial vehicles (UAVs) with edge computing has emerged as a promising paradigm for providing computational support for Internet of Things (IoT) applications in remote, disaster-stricken, and maritime areas. In UAV-aided edge computing, the offloading decision plays a central role in optimizing the overall system performance. However, the trajectory directly affects the offloading decision. In general, IoT devices use ground offload computation-intensive tasks on UAV-aided edge servers. The UAVs plan their trajectories based on the task generation rate. Therefore, researchers are attempting to optimize the offloading decision along with the trajectory, and numerous studies are ongoing to determine the impact of the trajectory on offloading decisions. In this survey, we review existing trajectory-aware offloading decision techniques by focusing on design concepts, operational features, and outstanding characteristics. Moreover, they are compared in terms of design principles and operational characteristics. Open issues and research challenges are discussed, along with future directions.

A big data analytics method for the evaluation of maritime traffic safety using automatic identification system data

The complex traffic situations are among the factors influencing maritime safety. They can be quantitatively estimated through the analysis of traffic data. This paper explores the impact of complex traffic situations on maritime safety, focusing on inland waterway traffic. It presents a big data analytics method, utilizing data from the Automatic Identification System (AIS) and historical maritime accident records. The methodology involves AIS data preprocessing and spatial autocorrelation models, including Moran's index, to extract and evaluate the dynamic characteristics of maritime traffic. The analysis of traffic characteristic includes a thorough investigation into the spatial-temporal distribution of ship average speed and trajectory density. The paper then introduces an effective traffic characteristic analysis model that evaluates the relationship between maritime traffic patterns and accidents. The study, specifically targeting the Nanjing section of the Yangtze River, reveals variations in ship trajectory density and average speed over time. It identifies several hotspots with a significant local correlation between these factors. Moreover, a substantial correlation is found between the locations of maritime accidents and areas with increased ship trajectory density and average speed. These results may provide insights for traffic safety management and highlight strategies for preventing maritime accidents.

Educational Opportunities in the Maritime Sector and the Development of the Bangladeshi Economy

The concept of a blue economy recognizes the seas and oceans as main drivers for economic development with great potential for innovation and growth. Bangladesh is blessed with an approximately 700 km long coast with nearly 1,18,813 sq. km. of maritime area. Hence it is likely to emerge as an important maritime State. The maritime sector in this country has a huge potential to boost national economic growth and thereby harness the blue economy. To tap the benefits from this sector, among others, there is a need to develop maritime human resources. Competent maritime human resources are considered the backbone of the blue economy and hence the national economic growth. As such Bangladesh needs to emphasize more on developing human resources in this sector through proper maritime education. Collaboration at the national and international level in the area of maritime research and education may be given priority to mitigate the challenges militating against the national economic growth. Bangabandhu Sheikh Mujibur Rahman Maritime University, Bangladesh may play a key role in unlocking the potential of Maritime Education for enhanced national economic growth.

Equatorward shift of the boreal summer intertropical convergence zone in Maritime Continent and the impacts on surface black carbon concentration and public health

In Maritime Continent, the shift of intertropical convergence zone (ITCZ) location directly regulates the distribution of black carbon and hence affects public health in the region, but the mechanism and human health impacts have not yet been comprehensively revealed. Here we used multiple reanalysis datasets to investigate the long-term shift of seasonal-mean zonal-mean ITCZ location in this region from 1980 to 2014, and to assess the influences on black carbon distribution and the resultant health impact in terms of premature mortality. Results show that recent human-related equatorial warming contributed to an equatorward shift (∼2.1°) of ITCZ location in Maritime Continent. Spatially, the equatorward shift of ITCZ reduced surface black carbon concentration over the maritime area by enhancing updrafts and wet deposition, but raised the concentration in the continental area by inhibiting updrafts. Meanwhile, anomalous low-level northeasterlies weakened summer circulation and prevented black carbon from being transported to the Philippines. Our results also suggest that the equatorward shift decreased ∼13% of black carbon-associated monthly premature mortality in maritime countries, but increased ∼6% of that in continental countries based on the population and mortality rate in 2010. We therefore recommend considering climate change impacts in the design of adaptation strategies against regional air pollution.

The Advent of the 2023 “BBNJ” Agreement: A Preliminary Legal Analysis

On 4 March 2023, the Member States of the United Nations agreed in New York on the text of a new treaty on biodiversity in areas beyond national jurisdiction (BBNJ or ABNJ) –in international maritime areas. It took marathon process spread over more than ten years of informal discussions, four years of formal negotiations and the final session of almost 36 hours. Rena Lee, the President of the intergovernmental conference, announced to the applause of the delegates that the ship had finally “reached the shore”. This new BBNJ Agreement, now signed by more than 80 countries, is a historic step for the conservation and sustainable use of marine biodiversity of areas beyond national jurisdiction. It is also in consonance with the objectives of the global Kunming-Montreal Biodiversity Framework adopted at CBD COP15 in December 2022. This article aims to provide a preliminary analysis of the environmental (preamble, principles and approaches, area-based management tools and environmental impact assessments) and economic (marine genetic resources, capacity building and transfer of marine technologies) content of the 2023 BBNJ Agreement, which are both the result of important compromises. It also seeks to underline the numerous remaining uncertainties and potential difficulties it raises, especially in terms of implementation and articulation with existing instruments and frameworks.

Air Pollution PM10 Forecasting Maps in the Maritime Area of the Bay of Algeciras (Spain)

Predicting the levels of a pollutant in a given area is an open problem, mainly because historical data are typically available at certain locations, where monitoring stations are located, but not at all locations in the area. This work presents an approach based on developing predictions at each of the points where an immission station is available; in this case, based on shallow Artificial Neural Networks, ANNs, and then using a simple geostatistical interpolation algorithm (Inverse Distance Weighted, IDW), a pollutant map is constructed over the entire study area, thus providing predictions at each point in the plane. The ANN models are designed to make 1 h ahead and 4 h ahead predictions, using an autoregressive scheme as inputs (in the case of 4 h ahead as a jumping strategy). The results are then compared using the Friedman and Bonferroni tests to select the best model at each location, and predictions are made with all the best models. In general, to the 1 h ahead prediction models, the optimal models typically have fewer neurons and require minimal historical data. For instance, the best model in Algeciras has an R of almost 0.89 and consists of 1 hidden neuron and 3 to 5 lags, similar to Colegio Los Barrios. In the case of 4h ahead prediction, Colegio Carteya station shows the best model, with an R of almost 0.89 and a MSE of less than 240, including 5 hidden neurons and different lags from the past. The results are sufficiently adequate, especially in the case of predictions 4 h into the future. The aim is to integrate the models into a tool for citizens and administrations to make decisions.

The role of tradition in the territorial dispute between Vietnam and China

The article analyzes the arguments of Vietnam and China on the ownership of the Paracel Islands and the Spratly archipelago in the South China Sea. The evidence base of the parties is based on historical justifications, which do not include all the islands of the archipelagos with geographical coordinates, have no data on permanent human habitation and economic activity. The International Tribunal in The Hague (2016) issued a verdict that China’s claims to “historical rights” over the maritime areas of the South China Sea contradict the 1982 UN Convention on the Law of the Sea and are null and void.

The Probability of Ship Collision during the Fully Submerged Towing Process of Floating Offshore Wind Turbines

As global warming intensifies, the development of offshore wind farms is swiftly progressing, especially deep-water Floating Offshore Wind Turbines (FOWTs) capable of energy capture in deep-sea regions, which have emerged as a focal point of both academic and industrial interest. Although numerous researchers have conducted comprehensive and multifaceted studies on various components of wind turbines, less attention has been paid to the operational stage responses of FOWTs to wind, waves, and currents and the reliability of their structural components. This study primarily employs a theoretical analysis to establish mathematical models under a series of reasonable assumptions, examining the possibility of collisions between FOWT transport fleets and other vessels in the passage area during the towing process. Using the model, this paper takes the Wanning Floating Offshore Wind Farm (FOWF) project, which is scheduled to be deployed in the South China Sea, as its research object and calculates the probability of collisions between FOWTs and other vessels in three months from the pier near Wanning, Hainan, to a predetermined position 22 km away. The findings of the analysis indicate that the mathematical model developed in this study integrates the quantities and velocities of navigational vessels within the target maritime area as well as the speeds, routes, and schedules of the FOWT transport fleet. By employing statistical techniques and geometric calculations, the model can determine the frequency of collisions between various types of vessels and the FOWT transport fleet during the transportation period. This has substantial relevance for future risk assessments and disaster prevention and mitigation measures in the context of FOWT transportation.

Deep attention transformer nets for accurate analysis of oil spilled images to minimize pollution in the marine environment

Oil spills in maritime areas pose a serious environmental risk, wreaking havoc on marine ecosystems, coastal habitats, and local residents. An accurate and timely evaluation of oil spill occurrences and extent is critical for effective pollution control and mitigation. In this study, we present a novel and cutting-edge approach for analyzing oil-spilled images using Deep Attention Transformer Nets (DATN) with Collective Intelligence (CI), with the goal of reducing pollution in the marine environment. This method takes advantage of deep learning capability, notably the incorporation of transformer-based attention processes, to improve the identification and measurement of oil spills in satellite and aerial images. The DATN model is intended to learn complicated features from images automatically, capturing complex patterns associated with oil spills and their surrounding context. The model chooses focus on key regions and add spatial links by using attention mechanisms, allowing for a more comprehensive understanding of the environmental influence. We thoroughly test DATN performance using a variety of datasets encompassing various oil spill scenarios and environmental circumstances. The results show that DATN surpasses standard approaches and other deep learning models in recognizing oil spill regions, with excellent accuracy, precision, and recall rates. Furthermore, the model has strong generalization capabilities across a wide range of image sources and situations.

Transformasi Kebijakan Maritim dalam Era Digital: Peran Teknologi dalam Meningkatkan Efektivitas dan Keamanan Lautan di Indonesia

Abstract: Indonesia's maritime potential holds a significant position in the country's economy, considering Indonesia's status as an archipelagic country with several ports and sea routes which have a strategic position because Indonesia is located between two continents and two oceans, namely Asia and Australia Continents, and, Indian and the Pacific Oceans. As much as 40% of world trade routes also pass through Indonesia. However, the challenge faced by Indonesia in utilizing its potential is that maritime effectiveness and security are still low. Therefore, the transformation of maritime policy in the digital era is important to increase maritime effectiveness and security in Indonesia. Transforming maritime policy in the digital era can help improve port connectivity, increase maritime supply chain efficiency, and strengthen maritime security systems. This research will use a mixed methodology that includes literature analysis and policy analysis to explain the role of technology in increasing maritime effectiveness and security in Indonesia in the digital era. This writing concluded that the transformation of maritime policy in the digital era can have a significant impact on real-world security and cyber security. However, there are obstacles that need to be overcome so that the use of technology in maritime policy can be carried out effectively and efficiently. Therefore, more serious, and integrated efforts are needed from the government and society to overcome these obstacles and ensure that the transformation of maritime policy in the digital era can provide optimal benefits for the security and defense of maritime areas as well as cyber security in Indonesia. Keywords: maritime policy, transformation, digital era, real-life security, cyber-security

Testing The Suitability of The Indonesian and Vietnamese Baselines under UNCLOS

The method for drawing baselines for the determination of maritime areas has been regulated in UNCLOS through three legal baselines, namely Normal Baselines, Straight Baselines, and Archipelagic Baselines. Respectively these approaches have been modified to suit the typical geographic features of a coastal state. However, the determination of baselines by several states is inconsistent with applicable regulations and has the potential to cause disputes with neighboring states. Indonesia has established straight baselines based on archipelago theory, on the other hand, Vietnam has established straight baselines. This article tries to identify the suitability of determining the baseline from Indonesia and Vietnam based on UNCLOS provisions and concludes that there was a violation of Article 7 of UNCLOS by Vietnam.

Average Displacement of Multi-Beam Measurement Vessel based on 2D Particle Swarm Algorithm

To address the optimization of a survey vessel's navigation route, this study uses historical sea depth data from a maritime area several years ago as an example. The research employs the two-dimensional Particle Swarm Optimization (2DPSO) algorithm to calculate the direction and distance for vessel navigation while adhering to constraints, aiming to obtain the optimal route for the survey vessel. Traditional Particle Swarm Optimization exhibits rapid early-stage convergence, but slows in the later stages and is susceptible to local optima. Hence, we opt for the 2DPSO algorithm, known for its simpler structure and incorporation of penalty functions to constrain particle values. This enhances algorithm performance and minimizes the risk of falling into local optima, offering a better solution to optimal route planning.

Aires protégées aquatiques et activités interlopes sur le littoral gabonais

Abstract Protected Water Areas and Illegal Activities on Gabon’s Coastline Since 2002, Gabon has been committed to a policy of biodiversity conservation through institutional and legal efforts to regulate and manage maritime areas. Interest in the maritime and coastal domains has led to the creation of Aquatic Protected Areas (APAs), ecosystems that are home to unique reservoirs of biodiversity. Thanks to these tools, Gabon aims to sustainably exploit and conserve its marine and coastal resources. However, this determination is undermined by a variety of illegal activities. The aim of this article is to reveal the main illegal uses perpetrated in the APAs and the means to counter them. For this purpose, a literature review was carried out, as well as a fieldwork based on semi-directive interviews with administrative agents, economic promoters and local residents of APAs.

The Two-Parameter Holland Pressure Model for Tropical Cyclones

In this study, we propose a two-parameter symmetric tropical cyclone (TC) pressure model, derived from the fundamental equations of the TC wind field. This model rectifies the deficits of the traditional TC pressure model mathematically. It incorporates a new parameter into the Holland pressure model and establishes relationship equations between the new parameter, Holland parameter B, and TC attributes such as pressure difference, maximum wind speed radius, geographical latitude, and inflow angle. This derivation is achieved theoretically. Our model not only tackles the limitations of the traditional pressure model by meeting the gradient wind equations, but it also resolves the uncertainty issue of parameter B arising from varied factor selection, data time frames, and research maritime areas. As practical applications, we apply both this model and the corresponding wind field model to five TC profiles. Further, we juxtapose them with primary pressure and wind field models and conduct error and statistical significance analyses. Our findings reveal that the two-parameter model produces results on par with the Holland model and superior to Fujita and Takahashi models. Notably, reanalysis of the wind field consistently underestimates the wind field near the maximum wind speed. Hence, a hybrid wind field, synthesized from the modeled and reanalyzed wind fields, appears to be one of the most effective methodologies for reconstructing a tropical cyclone’s wind field.

Prospects of Venture Capital Financing in An Effort to Improve The Welfare of Small and Medium Industries in The Maritime Area of The Riau Islands Province

This Study aims to know the prospect of venture capital financing in the frame enhancement welfare of small and medium industries (SMIs) in the province of Riau islands. The analysis method is qualitative with the technique of semi-structured interview used To explore information from micro industry players in the province Riau Islands. Research results show that venture capital financing has prospects For use by SMIs in the Province Riau Islands because the Province Riau Islands needs financing venture capital does not only give financing but also participates in the management company, so there is no loss of control in granting funds. SMIs in the Province of Kepri have also done so and have some criteria for becoming an investee or company partner venture capital. Venture capital own prospect For used in frame development of SMI’s in the Province Riau Islands. Study This gives a recommendation policy to government regions and stakeholders for establishing venture capital company areas in the form of a plan of action for the establishment of a Regional Venture Capital Company in the Province of Riau Islands.

Juridical Analysis of Eradicating Illegal Narcotics at the Border of the Riau Islands Region (Research Study by the Directorate of Narcotics Research at the Riau Islands Regional Police)

Eradicating illegal narcotics on the borders of the Riau Islands region or maritime areas connected to sea routes has a high prospect for the spread of narcotics crimes across national borders. To tackle the criminal act of smuggling narcotics from abroad into Indonesia via the Riau Islands sea route, the Riau Islands Regional Police's narcotics research directorate is carrying out in-depth prevention efforts through evaluating cross-country narcotics trafficking routes or what are commonly known as rat routes in order to minimize and reduce the level of cross-border narcotics smuggling. in the Riau Islands region. The problem in this research is how to regulate the eradication of illicit narcotics at the borders of the Riau Islands region, what are the implementation, obstacles and solutions for optimizing the eradication of illicit narcotics at the borders of the Riau Islands region, and what are the monitoring efforts carried out in eradicating illicit narcotics at the borders of the Riau Islands region (Research Study at the Directorate Riau Islands Regional Police Narcotics Investigation). The results of the research show that the eradication of illicit narcotics at the borders of the Riau Islands region (research study of the Kepri Police's drug investigation directorate) has been running in accordance with the duties and functions of the detective unit, for the obstacles faced in terms of infrastructure and transportation so it is hoped that the field process will be further improved. running optimally.