Dispersed Sources Research Articles

Design of a triple port integrated topology for grid-integrated EV charging stations for three-way power flow

Environmental fluctuations, solar irradiance, and ambient temperature significantly affect photovoltaic (PV) system output. PV systems should be efficient at the Maximum Power Point in various weather climates to maximize their potential power output. The Maximum Power Point Tracking (MPPT) technique is employed to plan a specific location that yields the maximum amount of power. Operating dispersed alternative energy sources connected to the grid in this situation makes energy control an unavoidable task. This research article suggests designing a power electronics converter topology that links sustainable resources and electric vehicles to the power grid. There are four modes of operation for this proposed converter topology: grid-to-vehicle, vehicle-to-grid, renewable-to-vehicle, and renewable-to-grid discussed. The three power electronic converters and their uses are discussed, and their controllers are also designed to maintain the energy balance and stability in all cases. The battery characteristics indicate the operating mode. The work primarily focuses on the converter’s Triple Port Integrated Topology (TPIT) power flow and voltage control. Here, three power converters integrate the TPIT with three systems-the electric grid, renewable energy, and electric vehicles-into one system. The source battery and solar photovoltaic (PV) array cells are integrated using unidirectional and bidirectional DC-DC converters. The future scope of the work is to investigate the potential of adding additional ports for integrating other energy resources, such as hydrogen fuel cells or additional renewable sources, to create a more versatile and robust energy management system for EV charging stations.

Spatial heterogeneity of volatile organic compound pollution in a typical industrial park based on multi-point online monitoring: Pollution characteristics, health risks, and priority-controlled species

Emissions from industrial parks are crucial sources of ambient volatile organic compound (VOC) pollution, characterized by high concentrations, complex compositions, dispersed emission sources, and uneven spatial distribution. To better understand and address this issue, it is crucial to analyze the spatial differences in VOC pollution and associated health risks through multi-point monitoring. In this study, we established four online monitoring sites in a typical industrial park in Kaifeng, China. We monitored 115 VOC species and found significant differences in the concentration and chemical composition of total VOCs (TVOCs) among the four sites. Two sites were primarily composed of halohydrocarbons (49.80% and 41.21%), while the other two sites had a higher proportion of aromatics (54.78% and 39.03%). Acetaldehyde was the main contributor to ozone formation potential (OFP) at one site, while toluene was associated with the other three sites. The site with the highest VOC concentration and OFP also showed the highest secondary organic aerosol formation potential (SOAP). In terms of health risk assessment, acrolein posed a non-carcinogenic risk at all sites, but there were disparities in the carcinogenic risk among the four sites. 1,2-Dichloroethane at one site exceeded the definite risk limit, while 1,2-dibromoethane and chloroform were considered probable risk species at another site. Considering both the environmental impact and health risk, we used entropy-weighting to calculate a comprehensive control index (CCI). This index identified 1,2-dichloroethane as the Level Ⅰ controlled pollutant species at two sites, and toluene at the other two sites. This study highlights the spatial heterogeneity in VOC pollution and health risks within the industrial park, providing valuable insights for targeted pollution control strategies.

Investigating the impact of cross-shelf transport and local retention in the Black Sea Rim Current system on small pelagic fishes

Advection of pelagic fish larvae through ocean currents is a source of dispersal that is known to structure marine populations by directly impacting population success and persistence. To be able to understand fish population dynamics and manage existing fisheries it is therefore of importance to assess the extent of exchange between populations and determine the factors that drive it, which is still a challenge in fisheries research today. In this study, the output of a high-resolution basin-scale circulation model is used to calculate the dispersal probability from spawning areas and the remaining Black Sea for a range of commercially important fish such as anchovy, sprat, turbot, red mullet, and bluefish under different environmental conditions. The common trait of many commercially important species in the Black Sea is that they have pelagic larval stages of different time scales which are simulated by tracking virtual drifters in the simulated surface circulation of the Black Sea. Simulation results show that the dynamic current structure of the Black Sea causes low local retention of larvae. During spring and summer lower offshore transport and higher local retention is observed than in fall and winter, which is directly related to the Rim Current strength. The lowest offshore transport is observed on the northern northwestern shelf, the main spawning area for pelagic fish with still 24-32% of larvae transported offshore. Simulations show that pelagic fish species such as anchovy and sprat adopted different reproductive strategies through their species-specific traits. For the summer spawning species anchovy, timing, and location of spawning together with its short pelagic larval stage is shown to enhance retention on the northwestern shelf. Sprat with its long pelagic larval stage and winter spawning is more adapted to high offshore transport, making it unlikely that sprat is recruited to the same area as where it is spawned. This modeling framework provides a basis for investigating recruitment variability of pelagic fish species in the Black Sea specifically considering the impact of climate variability and provides a useful guide to the potential connectivity of marine populations or the spread of invasive pests in the Black Sea.

Getting the Best out of Capillary Electrophoresis and Capillary Electrophoresis-Mass Spectrometry by Quantifying Sources of Peak Broadening for Proteins Using Polyelectrolyte Multilayer Coated Fused Silica Capillaries.

Capillary electrophoresis (CE) has emerged as a relevant technique for protein and biopharmaceutical analysis, as it combines high separation efficiency, sensitivity, and versatility. The use of capillary coatings, including successive multiple ionic-polymer layers (SMILs), reduces interactions between analytes and the capillary, further improving the CE performance. Nevertheless, separations done on SMIL coatings rarely surpass 500 × 103 plates/m. To obtain the best out of the CE, it is interesting to have a detailed look at the sources of peak dispersion. Separations of a mix of model proteins were performed on (poly(diallyldimethylammonium chloride)/poly(styrenesulfonate))2.5-coated capillaries at different electrical field strengths, leading to plate height H against migration velocity u plots that enabled a quantitative analysis of each contribution. Using this model, capillary lengths and injected volumes were systematically varied. For the first time, the contribution of sample electrophoretic heterogeneity to the total peak dispersion was deciphered for model proteins and a monoclonal antibody. Dispersion due to electromigration was seen to have an impact on plate heights in the case of triangular peaks of small molecules but not for proteins under the present conditions. UV and mass spectrometry detections were compared on the same capillary, providing valuable information on the impact of the detection type on separation efficiency. Close to 1 million plates/m were reached in the best conditions.

Numerical simulation of heat transfer performance and convective vortex evolution in a phase change thermal storage device with dispersed heat sources

Numerical simulation of heat transfer performance and convective vortex evolution in a phase change thermal storage device with dispersed heat sources

Optimizing electric vehicle scheduling strategies for advanced distribution system planning and operation with comprehensive cost-benefit analysis

Electric vehicles (EVs) are a compelling way to advance environmentally sustainable transportation systems, thanks to their potential to significantly reduce carbon emissions. Nevertheless, the seamless integration of EVs into distribution systems is fraught with challenges that require thorough investigation. With the ultimate goal of creating an ideal planning plan, the primary objective of this research is to examine electric vehicle planning strategies (EVPSs) utilizing a thorough cost and benefit analysis technique. Because EVs may operate as both a dispersed energy source and a load, they present the idea of Vehicle-to-Grid (V2G) technology. An EV with V2G technology installed can actively support the distribution system's power needs, particularly in the area of reactive power support. In order to fully benefit from integration of electric vehicles (EVs) into distribution systems, EV charging activities must be coordinated with the concurrent availability of V2G technology. This study involves the implementation of two separate PSs, each of which focuses on specific aspects of distribution system improvement. Active power distribution (APD) and reactive power distribution (RPD) are the two categories into which the strategies are separated. Their shared objective is to reduce system losses by strategically utilizing the V2G technology that is built into electric vehicles. The APD technique is predicated on the idea of minimizing losses by optimizing EV charging and discharging (CDC). On the contrary, strategy based on RPD revolves around minimizing losses through optimal charging of EVs and smart injection of reactive power into the distribution system. In addition, this research presents an in-depth cost-benefit analysis of the developed EVPSs, which provides valuable insights from a planning perspective. Finally, this study assesses how the distribution system's reorganization has improved the system's planning and operation. The effectiveness and resilience of the suggested strategy are convincingly illustrated by simulations conducted on a 33-bus distribution system, which validate these crucial observations.

Dispersion Influence of Electroacoustic Transducer Parameters in the Design Process of Miniature Loudspeaker Arrays and Omnidirectional Sound Sources.

Electroacoustic transducers represent one of the crucial materials used in the construction of loudspeaker arrays. The dispersion in their parameters may influence the performance of a speaker set. Parametric loudspeaker arrays and omnidirectional sound sources have been used for years. However, the possible influence of transducer manufacturing tolerances on the arrays' performance has not been investigated. In previous research, the sources of possible dispersion in acoustic measurements carried out with omnidirectional sources were studied, pointing out that the problems with sound sources may be a significant reason behind the small measurement repeatability in standards. This paper investigated the measurement of several common types of miniature speakers, using 10 pieces of each type and investigating the influence of their parameter dispersion in electric and acoustic ways. Numerical simulations of omnidirectional sound sources were performed to investigate the drivers' dispersion influence sensitivity. The results provided proof of the small-signal parameter dispersion reaching 20% of the variation. The acoustic measurements show that the loudspeakers may differ in sensitivity parameters by up to 4 dB in 10 transducer tests. The analysis of an example multitransducer array indicated that a dispersion of a sensitivity higher than 1 dB might lead to significant misperformance in constructed arrays and measurement deviations with this type of array.

Financial Assessment of Microgrid’s Independence using RES and Hydrogen-Based Energy Storage

The main difficulty that microgrids face is an economically feasible state of self-sustainability. The unpredictable behavior of dispersed Renewable Energy Sources (RES) and their stochasticity along with the usually high variability of electricity demand is a challenge for the stability of a microgrid. Therefore, innovative models for the development of energy systems that integrate new technologies in optimal and sustainable ways are required. Green hydrogen production is an emerging technology aiming to solve such problems through its use as a storage system within a viable business scheme. Integrating hydrogen production with RES and storage systems can enhance energy independence and economic opportunities. The focus of this paper is the proposal of a profitable financial scheme that leads to sufficient levels of the system’s independence from a main grid. Such an approach is implemented by a cost-effective pathway for a microgrid located in Crete through the simulation and investigation of its system that achieves high levels of selfsufficiency by incorporating RES backed by hydrogen-based energy storage. The proposed methodology relies on assessing the system’s sizing through the calculation of values that replicate its operation, with Net Present Value (NPV) serving as an indicator of the scheme’s profitability. The financial evaluation of the investment predicts, under specific assumptions, a total initial cost equal to 12,037,150.00 EUR, and an NPV of 20 years equal to 2,489,862,897.40 EUR.

Dual Contributions of Analyte Adsorption and Electroosmotic Inhomogeneity to Separation Efficiency in Capillary Electrophoresis of Proteins.

Improving separation efficiency in capillary electrophoresis (CE) requires systematic study of the influence of the electric field (or solute linear velocity) on plate height for a better understanding of the critical parameters controlling peak broadening. Even for poly(diallyldimethylammonium chloride) (PDADMAC)/poly(sodium styrenesulfonate) (PSS) successive multiple ionic-polymer layer (SMIL) coatings, which lead to efficient and reproducible separations of proteins, plate height increases with migration velocity, limiting the use of high electric fields in CE. Solute adsorption onto the capillary wall was generally considered as the main source of peak dispersion, explaining this plate height increase. However, experiments done with Taylor dispersion analysis and CE in the same conditions indicate that other phenomena may come into play. Protein adsorption with slow kinetics and few adsorption sites was established as a source of peak broadening for specific proteins. Surface charge inhomogeneity was also identified as a contribution to plate height due to local electroosmotic fluctuations. A model was proposed and applied to partial PDADMAC/poly(ethylene oxide) capillary coatings as well as PDADMAC/PSS SMIL coatings. Atomic force microscopy with topography and recognition imaging enabled the determination of roughness and charge distribution of the PDADMAC/PSS SMIL surface.

Study of the factor influence on the uniformity of coffee grain grinding by methods of statistical analysis

In order to assess the impact of each of the factors that affect the quality and uniformity of grinding coffee beans and to compare the impact of these factors, it is worth establishing a quantitative indicator of this impact. To solve this problem, dispersion analysis was used as a method of organizing sample data according to possible sources of dispersion. The chosen method made it possible to decompose the total dispersion into components caused by the influence of factor levels. Grinding time, geometric dimensions of the grain, moisture content of the grain, speed of rotation of the motor shaft were selected as factors influencing the homogeneity of grinding. The justification and assessment of the reliability of statistical conclusions about the informational significance of indicators affecting the homogeneity of coffee grinding was carried out to ensure the highest possible probability of the obtained result.

Cannibalism facilitated by parasite infection induces dispersal in a semi-aquatic insect.

Parasites are known to have direct effects on host dispersal ability and motivation. Yet, parasites have a variety of impacts on host populations, including shaping predation and cannibalism rates, and therefore may also have indirect effects on host dispersal; these indirect pathways have not been studied. We tested the hypothesis that parasites influence host dispersal through effects on cannibalism using backswimmers (Notonecta undulata) and Hydrachnidia freshwater mites. Mite parasitism impedes swimming in backswimmers, which we found increased their vulnerability to cannibalism. We imposed a manipulation that varied cannibalism rates across experimental populations consisting of a mix of backswimmers with and without simulated parasites. Using simulated parasites allowed us to examine the effects of cannibalism without introducing infection risk. We found that the odds of dispersal for infected backswimmers increased by 2.25× with every 10% increase in the risk of being cannibalized, and the odds of dispersal for healthy backswimmers increased by 2.34× for every additional infected backswimmer they consumed. Our results suggest that cannibalism was used as an energy source for dispersal for healthy individuals, while the risk of being eaten motivated dispersal in infected individuals. These results elucidate the complex ways that parasites impact host populations and strengthen our understanding of host-parasite interactions, including host and parasite population stability and spread. This article is part of the theme issue 'Diversity-dependence of dispersal: interspecific interactions determine spatial dynamics'.

Complete phylogeny of Micrathena spiders suggests multiple dispersal events among Neotropical rainforests, islands and landmasses, and indicates that Andean orogeny promotes speciation.

The Neotropical region is the most diverse on the planet, largely owing to its mosaic of tropical rainforests. Multiple tectonic and climatic processes have been hypothesized to contribute to generating this diversity, including Andean orogeny, the closure of the Isthmus of Panama, the GAARlandia land bridge and historical connections among currently isolated forests. Micrathena spiders are diverse and widespread in the region, and thus a complete phylogeny of this genus allows the testing of hypotheses at multiple scales. We estimated a complete, dated phylogeny using morphological data for 117 Micrathena species and molecular data of up to five genes for a subset of 79 species. Employing event-based approaches and biogeographic stochastic mapping while considering phylogenetic uncertainty, we estimated ancestral distributions, the timing and direction of dispersal events and diversification rates among areas. The phylogeny is generally robust, with uncertainty in the position of some of the species lacking sequences. Micrathena started diversifying around 25 Ma. Andean cloud forests show the highest in-situ speciation, while the Amazon is the major dispersal source for adjacent areas. The Dry Diagonal generated few species and is a sink of diversity. Species exchange between Central and South America involved approximately 23 dispersal events and started ~20 Ma, which is consistent with a Miocene age for the Isthmus of Panama closure. We inferred four dispersal events from Central America to the Antilles in the last 20 Myr, indicating the spiders did not reach the islands through the GAARlandia land bridge. We identified important species exchange routes among the Amazon, Andean cloud forests and Atlantic forests during the Plio-Pleistocene. Sampling all species of the genus was fundamental to the conclusions above, especially in identifying the Andean forests as the area that generated the majority of species. This highlights the importance of complete taxonomic sampling in biogeographic studies.

A round-robin study on the tensile characterization of single fibres: A multifactorial analysis and recommendations for more reliable results

In this benchmark, the tensile properties of three types of organic fibres – flax, hemp and aramid − were determined using single-fibre tensile tests performed by nine research groups. Flax and hemp were chosen due to their prevalence among European fibre plants. Aramid was selected for its synthetic nature and comparable dimensional properties. Due to the morphological complexity and variability of plant fibres, the scatter in the apparent tangent modulus and strength is more pronounced for flax and hemp compared to aramid. The primary source of scatter in the tensile properties results from human factors and experimental procedures, particularly regarding the fibre selection, the measurement of the fibre cross-sectional area and of the tensile strain. The post-processing procedure also turns out to be a key factor. Finally, recommendations and guidelines for best practices are proposed to reduce the main sources of dispersion associated with the reproducibility of single fibre tensile tests.

Malacofauna of Crimea as a possible source of introductions to other regions of Ukraine: land snails of non-Crimean origin

Background. Due to global climate changes, a number of land mollusc species, previously known only from southern Ukraine or only from Crimea, are increasingly being recorded in different parts of the country. Apparently, not only species of the Crimean origin but also some other molluscs, native or alien to the Crimean Peninsula, could have been introduced from Crimea in different time periods. Therefore, the main purpose of this study was to generalise and give a critical analysis of data on the present distribution in Ukraine outside Crimea for 8 such species, whose primary source of dispersal could be, at least partially, the Crimean Peninsula. Materials and Methods. We used the results of our own long-term (from 1994 to 2023) research of the land mollusc fauna in different parts of Ukraine, examined collections of other researchers and amateurs, numerous stock materials of the State Museum of Natural History in Lviv, analysed a number of literature sources from the beginning of the 20th century to the present day, as well as reports from two citizen science databases (iNaturalist and UkrBIN). Results and Discussion. We have sequentially analysed the available data about the present distribution and chronology of discovery in different administrative regions of Ukraine outside Crimea for Cecilioides raddei, Phenacolimax annularis, Oxychilus deilus, Xeropicta derbentina, X. krynickii, Monacha cartusiana, Eobania vermiculata, as well as Helix lucorum with the shell colouration characteristic of the mountainous Crimea. It has been established that one or more species have now been reliably recorded in all parts and almost all administrative regions of Ukraine, with the exception of Sumy and Kirovohrad ones. Conclusion. The conducted analysis confirms the potential influence of Crimea on the formation of the present species composition of alien land molluscs not only in the south, but also in other parts of Ukraine. Most of the analyzed species are so far known only from those administrative regions that border the Black and Azov Seas. Two species, X. derbentina and M. cartusiana, are now rather widespread in Ukraine, but most of their known records were made no earlier than 1990s. The data systematized in this study can become the basis for monitoring the further spread of the species under study into different parts of Ukraine, which may become especially relevant in the post-war period.

Performance analysis of drone sqadron optimisation based MPPT controller for grid implemented PV battery system under partially shaded conditions

In recent years, growing consumer demand for sustainable energy is driving down costs and paving the way for more clean energy in the future. Since these energies are sporadic, and the load pattern does not correlate to their generation pattern, a battery storage system is required. Operating dispersed alternative energy sources, connected to the grid in this situation makes energy control an unavoidable task. The difficulty is brought on by things like intermittent sources, daytime costs, solar panel and battery size restrictions, and limitations in battery charging and discharging rates. Moreover, integrating energy storage devices into the power system network is one of the recommendations made in this work to increase the performance and dependability of these systems. Compared to the existing works reported in the literature, this study offers enhanced control techniques for hybrid Photovoltaic and Battery Energy Storage System under fluctuating atmospheric scenario. Here, an innovative approach called Drone Squadron Optimisation, which tracks the Global Maximum Power Point, is used get maximum power. Further, suggested approach is tested with various partial shading instances and the uniform irradiance condition to validate it. This research also investigates photovoltaic models and the status of the battery storage device for improved energy management in the system. Finally, the proposed algorithm assists in quickly identifying the potential benefits of a grid-connected, battery-powered rooftop solar system.

PROBLEMS OF EDUCATION OF YOUTH IN THE SPIRIT OF MILITARY PATRIOTISM IN THE INFORMATION SOCIETY

In today's information society, due to the widespread influence of digital media and the declining influence of traditional institutions, educating young people in the spirit of military patriotism faces important challenges. This article explores the complexities involved in fostering military patriotism among youth in an era dominated by social media, dispersed information sources, and global cultural exchange. It examines the impact of these factors on young people's perceptions of military service and national loyalty, identifying key issues such as the erosion of traditional educational channels, the influence of counter-narratives, and the rise of critical and reflective forms of patriotism. The article also suggests strategies for effectively engaging youth in military patriotism, including using digital platforms, increasing critical media literacy, and strengthening community engagement. By addressing these issues, the article aims to contribute to the development of more effective approaches to patriotism education in the digital age.

Modeling and simulation of pollution transport in the Mediterranean Sea using enriched finite element method

This paper presents a novel numerical method for simulating the transport and dispersion of pollutants in the Mediterranean sea. The governing mathematical equations consist of a barotropic ocean model with friction terms, bathymetric forces, Coriolis and wind stresses coupled to an advection–diffusion equation with anisotropic dispersion tensor and source terms. The proposed numerical solver uses a multilevel adaptive semi-Lagrangian finite element method that combines various techniques, including the modified method of characteristics, finite element discretization, coupled projection scheme based on a rotational pressure correction algorithm, and an adaptive L2-projection. The approach employs the gradient of the concentration as an error indicator for enrichment adaptations and increasing the number of quadrature points where needed without refining the mesh. The method is shown to provide accurate and efficient simulations for pollution transport in the Mediterranean sea. The proposed approach distinguishes itself from the well-established adaptive finite element methods for incompressible viscous flows by retaining the same structure and dimension of linear systems during the adaptation process.

Smart transportation systems using learning method for urban mobility and management in modern cities

The pressing demand for an escalation in renewable energy production arises from the surge in power consumption, escalating environmental concerns, and the exhaustion of fossil fuels. Microgrids, featuring dispersed power sources, exhibit superior resilience, efficiency, and stability in contrast to conventional power grids. Noteworthy investments in eco-friendly initiatives have been made by various major corporations, particularly in institutional structures. The current research advocates for the integration of photovoltaics, energy storage, and electric vehicles (EVs) as pivotal elements in a smart grid. This study introduces an optimal energy management system (EMS) designed to efficiently allocate power from existing sources. To address the challenges within an uncertain and reliable environment, a stochastic framework leveraging the whale optimization algorithm and unscented transform has been formulated. All simulations have been executed using the digital twin of the smart grid components. Results suggest that the proposed EMS ensures uninterrupted power supply, contributing to a substantial 45% reduction in energy costs. Furthermore, the potential of EVs as storage devices is explored. When employed as energy sources, EVs led to a noteworthy 45.58% reduction in power prices, while their use as loads still yielded a significant 19.33% decrease. The study also delves into the analysis of outage effects on the continuous power supply cost.

Large optoelectronic chromatic dispersion in PN-type silicon photodiodes and photovoltaic cells.

Optoelectronic chromatic dispersion (OED) is a significant source of effective chromatic dispersion in photodiodes. We present an experimental and theoretical study of OED in PN-type Si photodiodes and photovoltaic cells and report on a very large effective chromatic dispersion in these devices. As measured with the modulation phase-shift technique at a frequency of 4 kHz for these slow devices, the OED spectral sensitivity for a commercial Si photodiode is approx. 0.02 deg/nm in the 720-850 nm wavelength band and increases to 0.25 deg/nm at λ = 1µm. For a Si photovoltaic cell, the OED is approx. 0.09 deg/nm in this spectral region. These values translate into an effective chromatic dispersion parameter of approx. 1012ps/(n m ×k m) for these sub-millimeter device lengths, which is over eight orders of magnitude larger than high-dispersion materials such as chalcogenide glass. The enormous dispersion in these sub-millimeter sized silicon-based devices can be utilized for on-chip optoelectronic sensors such as wavelength monitoring and spectroscopy. The substantial OED of photovoltaic cells can be utilized for the characterization and optimization and new applications for optical sensing with these self-powered devices.

Travelling away from home? Joining global change and recovery scenarios to anticipate the marine distribution of diadromous fish

Species Distribution Models (SDM) are useful tools providing results that can be extrapolated to anticipate species range shifts, under climate change scenarios. SDM studies integrating spatial constraints are significantly lacking in the marine environment, leading to optimistic predictions. This is particularly true for anadromous species in which marine distributions can be driven by their affinity to their natal rivers. Acipenser sturio is a critically endangered anadromous fish for which two stocked populations are currently maintained in the Gironde-Garonne-Dordogne (France) and Elbe (Germany) river systems. Benefiting from bycatch reports of A. sturio, we applied a SDM process that explicitly considers distance to home when evaluating habitat suitability. More precisely, we included the variable ‘distance to mouth of the natal river system’ into SDM inputs to test and characterize its influence on the marine distribution of A. sturio. We used this model to obtain the marine distribution under current climatic conditions with the two source populations and under population recovery scenarios (functional populations hypothesized to exist in ten currently unoccupied river systems). We projected the model under future conditions with two climatic scenarios (RCP 4.5 and 8.5) and three time slices over the 2023–2099 period. Constrained-ranges of both existing and hypothetical populations are projected to expand in the future. We observed an overall increase of habitat suitability, with new suitable sectors localized further from natal river mouths. By informing on the suitable marine surface that each hypothetical population holds and adds to the existing ones, our approach aims at informing about the feasibility of species recovery and marine habitats protection strategies. Our findings highlight the need for including dispersal information in marine SDM. The application of our dispersal-constrained approach may be considered for other less-well-known species for which dispersal point sources are identifiable, such as other diadromous species in different study areas.