Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (196)

Search Parameters:
Keywords = environmental licenses

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
42 pages, 14160 KiB  
Article
Automated Vehicle Classification and Counting in Toll Plazas Using LiDAR-Based Point Cloud Processing and Machine Learning Techniques
by Alexander Campo-Ramírez, Eduardo F. Caicedo-Bravo and Bladimir Bacca-Cortes
Future Transp. 2025, 5(3), 105; https://doi.org/10.3390/futuretransp5030105 - 5 Aug 2025
Abstract
This paper presents the design and implementation of a high-precision vehicle detection and classification system for toll stations on national highways in Colombia, leveraging LiDAR-based 3D point cloud processing and supervised machine learning. The system integrates a multi-sensor architecture, including a LiDAR scanner, [...] Read more.
This paper presents the design and implementation of a high-precision vehicle detection and classification system for toll stations on national highways in Colombia, leveraging LiDAR-based 3D point cloud processing and supervised machine learning. The system integrates a multi-sensor architecture, including a LiDAR scanner, high-resolution cameras, and Doppler radars, with an embedded computing platform for real-time processing and on-site inference. The methodology covers data preprocessing, feature extraction, descriptor encoding, and classification using Support Vector Machines. The system supports eight vehicular categories established by national regulations, which present significant challenges due to the need to differentiate categories by axle count, the presence of lifted axles, and vehicle usage. These distinctions affect toll fees and require a classification strategy beyond geometric profiling. The system achieves 89.9% overall classification accuracy, including 96.2% for light vehicles and 99.0% for vehicles with three or more axles. It also incorporates license plate recognition for complete vehicle traceability. The system was deployed at an operational toll station and has run continuously under real traffic and environmental conditions for over eighteen months. This framework represents a robust, scalable, and strategic technological component within Intelligent Transportation Systems and contributes to data-driven decision-making for road management and toll operations. Full article
Show Figures

Figure 1

23 pages, 2572 KiB  
Article
Drivers and Barriers for Edible Streets: A Case Study in Oxford, UK
by Kuhu Gupta, Mohammad Javad Seddighi, Emma L. Davies, Pariyarath Sangeetha Thondre and Mina Samangooei
Sustainability 2025, 17(14), 6538; https://doi.org/10.3390/su17146538 - 17 Jul 2025
Viewed by 345
Abstract
This study introduces Edible Streets as a distinct and scalable model of community-led urban food growing, specifically investigating the drivers and barriers to the initiative. Unlike traditional urban food-growing initiatives, Edible Streets explores the integration of edible plants into street verges and footpaths [...] Read more.
This study introduces Edible Streets as a distinct and scalable model of community-led urban food growing, specifically investigating the drivers and barriers to the initiative. Unlike traditional urban food-growing initiatives, Edible Streets explores the integration of edible plants into street verges and footpaths with direct community involvement of the people who live/work in a street. This study contributes new knowledge by evaluating Edible Streets through the COM-B model of behavioural change, through policy and governance in addition to behaviour change, and by developing practical frameworks to facilitate its implementation. Focusing on Oxford, the research engaged residents through 17 in-person interviews and 18 online surveys, alongside a stakeholder workshop with 21 policymakers, community leaders, and NGO representatives. Findings revealed strong motivation for Edible Streets, driven by values of sustainability, community resilience, and improved well-being. However, capability barriers, including knowledge gaps in gardening, land-use policies, and food preservation, as well as opportunity constraints related to land access, water availability, and environmental challenges, hindered participation. To address these, a How-to Guide was developed, and a pilot Edible Street project was launched. Future steps include establishing a licensing application model to facilitate urban food growing and conducting a Post-Use Evaluation and Impact Study. Nationally, this model could support Right to Grow policies, while globally, it aligns with climate resilience and food security goals. Locally grown food enhances biodiversity, reduces carbon footprints, and strengthens social cohesion. By tackling key barriers and scaling solutions, this study provides actionable insights for policymakers and practitioners to create resilient, equitable urban food systems. Full article
(This article belongs to the Section Sustainable Urban and Rural Development)
Show Figures

Figure 1

22 pages, 291 KiB  
Article
Circular Economy for Strategic Management in the Copper Mining Industry
by Angélica Patricia Muñoz-Lagos, Luis Seguí-Amórtegui and Juan Pablo Vargas-Norambuena
Sustainability 2025, 17(14), 6364; https://doi.org/10.3390/su17146364 - 11 Jul 2025
Viewed by 302
Abstract
This study examines the awareness and implementation of Circular Economy (CE) principles within Chile’s mining sector, which represents the world’s leading copper producer. We employed a mixed-methods approach, combining quantitative surveys with qualitative semi-structured interviews, to evaluate perceptions and implementation levels of CE [...] Read more.
This study examines the awareness and implementation of Circular Economy (CE) principles within Chile’s mining sector, which represents the world’s leading copper producer. We employed a mixed-methods approach, combining quantitative surveys with qualitative semi-structured interviews, to evaluate perceptions and implementation levels of CE practices across diverse organizational contexts. Our findings reveal a pronounced knowledge gap: while 73.3% of mining professionals reported familiarity with CE concepts, only 57.3% could provide accurate definitions. State-owned mining companies demonstrated substantially higher CE implementation rates, with 36.5% participating in eco-industrial collaborations and 51% conducting environmental audits, compared to their private counterparts. Small enterprises (1–100 employees) exhibited particularly limited engagement, as demonstrated by 71.8% lacking established sustainability reporting mechanisms. A considerable implementation gap was also identified; although 94.8% of respondents considered CE principles integral to business ethics and 89.6% recognized CE as essential for securing a social license to operate, only 20.8% reported that their organizations maintained dedicated CE units. The research presents actionable recommendations for policymakers, including targeted financial incentives and training programs for small- and medium-sized enterprises (SMEs) in mining services, the establishment of standardized CE performance metrics for the sector, and the integration of CE principles into strategic management education to accelerate sustainable transformation within Chile’s critical mining industry. Full article
34 pages, 14430 KiB  
Article
The Wind Parks Distorted Development in Greek Islands—Lessons Learned and Proposals Toward Rational Planning
by Dimitris Katsaprakakis, Nikolaos Ch. Papadakis, Nikos Savvakis, Andreas Vavvos, Eirini Dakanali, Sofia Yfanti and Constantinos Condaxakis
Energies 2025, 18(13), 3311; https://doi.org/10.3390/en18133311 - 24 Jun 2025
Viewed by 444
Abstract
The Greek islands have been blessed with excellent wind potential, with hundreds of sites featuring annual average wind velocity higher than 8–10 m/s. Due to specific regulations in the legal framework, some GWs of wind parks have been submitted since the late 2000s [...] Read more.
The Greek islands have been blessed with excellent wind potential, with hundreds of sites featuring annual average wind velocity higher than 8–10 m/s. Due to specific regulations in the legal framework, some GWs of wind parks have been submitted since the late 2000s by a small number of large investors in the Greek islands, favoring the creation of energy monopolies and imposing serious impacts on natural ecosystems and existing human activities. These projects have caused serious public reactions against renewables, considerably decelerating the energy transition. This article aims to summarize the legal points in the Greek framework that caused this distorted approach and present the imposed potential social and environmental impacts. Energy monopolies distort the electricity wholesale market and lead to energy poverty and a low standard of living by imposing higher electricity procurement prices on the final users. The occupation of entire insular geographical territories by large wind park projects causes important deterioration of the natural environment, which, in turn, leads to loss of local occupations, urbanization, and migration by affecting negatively the countryside life. Serious concerns from the local population are clearly revealed through an accomplished statistical survey as well as a clear intention to be engaged in future wind park projects initiated by local stakeholders. The article is integrated with specific proposed measures and actions toward the rational development of renewable energy projects. These refer mainly on the formulation of a truly supportive and just legal framework aiming at remedying the currently formulated situation and the strengthening of the energy communities’ role, such as through licensing priorities, funding mechanisms, and tools, as well as additional initiatives such as capacity-building activities, pilot projects, and extensive activation of local citizens. Energy communities and local stakeholders should be involved in the overall process, from the planning to the construction and operation phase. Full article
Show Figures

Figure 1

16 pages, 921 KiB  
Article
Aiding Depth Perception in Initial Drone Training: Evidence from Camera-Assisted Distance Estimation
by John Murray, Steven Richardson, Keith Joiner and Graham Wild
Technologies 2025, 13(7), 267; https://doi.org/10.3390/technologies13070267 - 24 Jun 2025
Viewed by 499
Abstract
Remotely Piloted Aircraft (RPA) pilots frequently experience difficulties with depth perception, particularly when estimating distances between the drone and environmental obstacles. This study evaluates whether the use of onboard camera imagery can improve exocentric distance estimation accuracy among ab initio drone pilots operating [...] Read more.
Remotely Piloted Aircraft (RPA) pilots frequently experience difficulties with depth perception, particularly when estimating distances between the drone and environmental obstacles. This study evaluates whether the use of onboard camera imagery can improve exocentric distance estimation accuracy among ab initio drone pilots operating under visual line-of-sight (VLOS) conditions. Two groups of undergraduate students performed distance estimation tasks at 20 and 50 m. One group used direct observation only to estimate the exocentric distance between the drone and an obstacle. The second group, as well as direct observation, had access to a live video feed from the drone’s onboard camera via a ground control station. At 20 m, there was no statistically significant difference in estimation accuracy between the groups. However, at 50 m, the camera-assisted group demonstrated significantly improved accuracy in distance estimation and reduced variance in estimation error. These findings suggest that a ubiquitous and low-cost technology, originally intended for imaging, can offer measurable benefits for depth perception at greater operational distances. The inclusion of camera-assisted perception training during early-stage licensing may enhance safety and spatial judgement in RPAS operations. Full article
Show Figures

Figure 1

26 pages, 395 KiB  
Review
Vaccination Strategies and Research Gaps in Hepatitis E Virus for Special Populations
by Meng Wang, Binwei Duan, Mengcheng Liu, Yuxuan Zhang, Feng Wu, Guangming Li and Yabo Ouyang
Vaccines 2025, 13(6), 621; https://doi.org/10.3390/vaccines13060621 - 9 Jun 2025
Viewed by 1975
Abstract
Background: Hepatitis E virus (HEV) infection poses a significant health risk across diverse demographic groups, particularly among pregnant women, immunocompromised individuals, patients with chronic liver disease, and the elderly. The global epidemiology of HEV reveals distinct patterns of prevalence, transmission, and disease severity [...] Read more.
Background: Hepatitis E virus (HEV) infection poses a significant health risk across diverse demographic groups, particularly among pregnant women, immunocompromised individuals, patients with chronic liver disease, and the elderly. The global epidemiology of HEV reveals distinct patterns of prevalence, transmission, and disease severity among these populations, necessitating targeted vaccination strategies. The licensing of the Hecolin (HEV 239) vaccine offers promise, but gaps in clinical trial data and varying immune responses in high-risk groups challenge its widespread applicability. Scope: This review synthesizes data on HEV’s epidemiology, discusses the susceptibility of vulnerable populations, evaluates the efficacy and safety of HEV 239, and highlights the urgent need for clinical research tailored to these groups. Key findings underscore the complexity of vaccine response influenced by immunological, physiological, and environmental factors. Additionally, potential advancements in vaccine technology, including the development of broad-spectrum vaccines and innovative delivery systems, are discussed as future directions. Strategies: Addressing regulatory, economic, and logistical barriers remains crucial for effective HEV vaccination programs. A multidisciplinary approach integrating public health policy, rigorous clinical evaluations, and collaborative frameworks is essential to ensure equitable access to HEV vaccination, ultimately improving health outcomes on a global scale. Full article
(This article belongs to the Special Issue Hepatitis Vaccines: Safety, Efficacy and Global Impact)
17 pages, 254 KiB  
Review
The Motivations of Recreational Hunters Who Violate Wildlife and Game Hunting Regulations: Implications for Crime Prevention
by Andrew Day, Stuart Ross, Jason Flesch and Simon J. Toop
Soc. Sci. 2025, 14(6), 343; https://doi.org/10.3390/socsci14060343 - 28 May 2025
Viewed by 653
Abstract
Recreational hunting is a highly regulated activity, in part because it can give rise to a variety of deleterious social, environmental, and economic harms. It provides an interesting area for those interested in community safety because of the way in which both formal [...] Read more.
Recreational hunting is a highly regulated activity, in part because it can give rise to a variety of deleterious social, environmental, and economic harms. It provides an interesting area for those interested in community safety because of the way in which both formal (e.g., enforcement officers, proscribed areas and times for hunting, licensing, etc.) and informal (e.g., community awareness and education, conservation) methods of crime prevention are applied. And yet, the criminological literature on effective regulation is not only limited but diverse in terms of scope, types of behavior considered (e.g., poaching, wildlife trading, recreation, etc.), and the context that is considered (e.g., geographical, cultural, etc.). In this paper, we present how a crime prevention and compliance response can be used to understand the nature of the issue and the individual and socio-political processes that result in non-compliance with hunting regulations. We present an overview of the status of recreational hunting in an Australian jurisdiction and locate the regulatory issues that arise within the research literature that explores the various motivations that are known to drive illegal hunting. These are then considered in relation to how community-oriented and non-coercive measures might be employed to improve prevent criminal behavior at the primary, secondary, and tertiary levels. Full article
29 pages, 5037 KiB  
Article
Amalgamation of Drainage Area Ratio and Nearest Neighbors Methods for Predicting Stream Flows in British Columbia, Canada
by Muhammad Uzair Qamar, Courtney Turner and Cameron Stooshnoff
Water 2025, 17(10), 1502; https://doi.org/10.3390/w17101502 - 16 May 2025
Viewed by 463
Abstract
British Columbia, Canada, is recognized for its abundant natural resources, including agricultural and aquaculture products, sustained by its diverse climate and geography. Water resource allocation in BC is governed by the Water Sustainability Act, enacted on 29 February 2016, replacing the historic Water [...] Read more.
British Columbia, Canada, is recognized for its abundant natural resources, including agricultural and aquaculture products, sustained by its diverse climate and geography. Water resource allocation in BC is governed by the Water Sustainability Act, enacted on 29 February 2016, replacing the historic Water Act. However, limited gauging of streams across the province poses challenges for ensuring water allocation while meeting Environmental Flow Needs. Overallocated watersheds and data-scarce watersheds in need of licensing highlight the need for robust streamflow prediction methods. To address these challenges, we developed a methodology that integrates the Drainage Area Ratio and Nearest Neighbors techniques to predict streamflows efficiently, without incurring additional financial costs. We utilized Digital Elevation Models and flow data from provincially and municipally managed hydrometric stations, as well as from the Water Survey of Canada, to normalize streamflows based on area, slope, and elevation. This approach ensures hydrological predictions that account for variability in hydrological processes resulting from differences in lumped-scale watershed characteristics. The method was validated using streamflow data from hydrometric stations maintained by the aforementioned entities. For validation, each station was iteratively treated as ungauged by temporarily removing it from the dataset and then predicting its streamflow using the proposed methodologies. The results demonstrated that the amalgamated Drainage Area Ratio–Nearest Neighbors approach outperformed the traditional Drainage Area Ratio method, offering reliable predictions for diverse watersheds. This study provides an adaptable and cost-effective framework for enhancing water resource management across BC. Full article
Show Figures

Figure 1

15 pages, 1207 KiB  
Article
Green Initiative and Mineral Governance: The Interplay of EU Policies and Romania’s Regulatory Framework
by Dana-Georgeta Alexandru, Emil Balan, Ionuț Bogdan Berceanu, Cristi Iftene and Gabriela Varia
Sustainability 2025, 17(10), 4512; https://doi.org/10.3390/su17104512 - 15 May 2025
Viewed by 460
Abstract
The global shift toward green technologies presents a dual challenge: surging demand for clean technology products and an increasing reliance on critical raw materials (CRMs). While the existing literature has largely concentrated on economic, geopolitical, or general governance perspectives, scant attention has been [...] Read more.
The global shift toward green technologies presents a dual challenge: surging demand for clean technology products and an increasing reliance on critical raw materials (CRMs). While the existing literature has largely concentrated on economic, geopolitical, or general governance perspectives, scant attention has been devoted to the legal, institutional, and justice dimensions of mineral resource governance. This article addresses this gap by examining the European Union’s evolving policy framework—particularly the Critical Raw Materials (CRM) Act—and its implications for Romania’s national regulatory landscape. Employing a mixed-method approach that combines a systematic literature review and a SWOT analysis, this study assesses Romania’s capacity to align its mineral governance with the EU’s objectives for supply security, environmental sustainability, and strategic autonomy. Its findings underscore the urgent need for Romania to streamline its regulatory frameworks, enhance institutional coherence, clarify property rights, and reform licensing and fiscal regimes to attract investment and ensure legal predictability. Advancing green mining technologies, recycling initiatives, and sustainability-focused innovations is also vital for aligning national practices with the EU’s environmental and economic goals. By foregrounding issues of transparency, good governance, and procedural justice, this article offers new insights into how national and supranational governance structures intersect in the context of the green transition. This study provides valuable recommendations for policymakers, industry actors, and scholars seeking to strengthen Romania’s position within the EU’s broader resource security and sustainable development strategies. Full article
(This article belongs to the Section Resources and Sustainable Utilization)
Show Figures

Figure 1

43 pages, 11647 KiB  
Article
The Influence of Demographic Variables on the Pooled Rideshare Acceptance Model Multigroup Analyses (PRAMMA)
by Rakesh Gangadharaiah, Johnell O. Brooks, Patrick J. Rosopa, Lisa Boor, Kristin Kolodge, Joseph Paul, Haotian Su and Yunyi Jia
Sustainability 2025, 17(9), 4196; https://doi.org/10.3390/su17094196 - 6 May 2025
Cited by 1 | Viewed by 399
Abstract
Building on our prior research with a national survey sample of 5385 US participants, the Pooled Rideshare Acceptance Model (PRAM) was built upon two factor analyses. This exploratory study extends the PRAM framework using the Pooled Rideshare Acceptance Model Multigroup Analyses (PRAMMA) to [...] Read more.
Building on our prior research with a national survey sample of 5385 US participants, the Pooled Rideshare Acceptance Model (PRAM) was built upon two factor analyses. This exploratory study extends the PRAM framework using the Pooled Rideshare Acceptance Model Multigroup Analyses (PRAMMA) to examine how 16 demographic variables influence and interact with the acceptance of Pooled Rideshare (PR), filling a gap in understanding user segmentation and personalization. Using a national sample of 5385 US participants, this methodological approach allowed for the evaluation of how PRAM variables such as safety, privacy, service experience, and environmental impact vary across diverse groups, including gender, generation, driver’s license, rideshare experience, education level, employment status, household size, number of children, income, vehicle ownership, and typical commuting practices. Factors such as convenience, comfort, and passenger safety did not show significant differences across the moderators, suggesting their universal importance across all demographics. Furthermore, geographical differences did not significantly impact the relationships within the model, suggesting consistent relationships across different regions. The findings highlight the need to move beyond a “one size fits all” approach, demonstrating that tailored strategies may be crucial for enhancing the adoption and satisfaction of PR services among various demographic groups. The analyses provide valuable insight for policymakers and rideshare companies looking to optimize their services and increase user engagement in PR. Full article
(This article belongs to the Special Issue Green Logistics and Intelligent Transportation)
Show Figures

Figure 1

32 pages, 2764 KiB  
Article
An Examination of UAS Incidents: Characteristics and Safety Considerations
by Jialong Sun and Sarah Hubbard
Drones 2025, 9(2), 112; https://doi.org/10.3390/drones9020112 - 4 Feb 2025
Cited by 2 | Viewed by 1897
Abstract
This paper examines the characteristics and implications of reported Unmanned Aircraft Systems (UAS) incidents in the National Aeronautics and Space Administration (NASA) Aviation Safety Reporting System (ASRS) database for UAS incidents operated by remote pilots licensed under Part 107. Characteristics examined include seasonal [...] Read more.
This paper examines the characteristics and implications of reported Unmanned Aircraft Systems (UAS) incidents in the National Aeronautics and Space Administration (NASA) Aviation Safety Reporting System (ASRS) database for UAS incidents operated by remote pilots licensed under Part 107. Characteristics examined include seasonal patterns of incidents, operational mission, and number of contributing factors, as well as crew configuration, timing of incident detection, and airspace class. Results are compared with previous research and with incident data for recreational users. The narratives for each incident are assessed to provide a greater context for the incidents and to determine how the incidents vary in different classes of airspace. Findings reveal that UAS incidents often involve multiple contributing factors, including environmental, human, equipment, and policy issues; there is an increasing prevalence of human-related issues over equipment problems compared to previous research; this reflects historic safety trends in crewed aviation. Near-miss incidents with crewed aircraft are a very real concern, particularly in Class D airspace, which often includes general aviation (GA) and helicopter operations. This research underscores the need for timely communication during urgent nighttime UAS operations as well as enhanced safety culture at both operator and organizational levels. Full article
Show Figures

Figure 1

17 pages, 2395 KiB  
Article
Environmental Impact of Human Activities in Marine-Coastal Area: Underwater Wine Cellar as Case Study (Tuscany, Cetacean Sanctuary)
by Serena Anselmi, Francesca Provenza, Giacomo Carusi, Stefano Menichetti and Monia Renzi
Environments 2025, 12(2), 36; https://doi.org/10.3390/environments12020036 - 22 Jan 2025
Viewed by 1050
Abstract
A new production activity developing in coastal areas and located in the MPAs are sub-cellars for wine ageing, which combine the results of wine refinement with beautiful bottles decorated with organic concretions. Assessing the associated environmental risks is crucial as wine is a [...] Read more.
A new production activity developing in coastal areas and located in the MPAs are sub-cellars for wine ageing, which combine the results of wine refinement with beautiful bottles decorated with organic concretions. Assessing the associated environmental risks is crucial as wine is a complex mixture of chemical substances that are toxic to marine species if released into the environment. We have assessed the risks associated with the granting of a license to store 2000 bottles in a sunken wine cellar in the Whale Sanctuary (Tuscany). Local risks that could influence the occurrence of offences were assessed to calculate the potential dose of wine released from the cellar. Furthermore, based on the ecotoxicological approach, the effect thresholds (ECx, NOEC, LOEC) were quantified for species from different trophic levels to define the tolerance of the marine ecosystem using the PNEC approach. The results showed that wines with different physicochemical properties developed differently during maturation (0–8 months) and exhibited different ecotoxicity. This led to different PNEC values and, consequently, to different risks of bottle breakage. The main suggestion of our results is that the release of licenses should be based on a case-by-case risk assessment that focuses on both the environmental characteristics of the ecosystem that maintains the cellar and the chemical properties of the wines stored in glass bottles. Full article
Show Figures

Figure 1

12 pages, 214 KiB  
Article
The Perception and Self-Concept of Suburban Foresters in Their Role as Forest Recreation Managers
by Sabina Autratova, Jitka Fialova and Katerina Sedlackova
Land 2025, 14(2), 215; https://doi.org/10.3390/land14020215 - 21 Jan 2025
Viewed by 561
Abstract
The study aimed to explore the perception of foresters in relation to forest recreational management in the Czech Republic. Using qualitative research methods, specifically semi-structured in-depth interviews, the study gathered data to uncover the positive and negative factors influencing the work of foresters [...] Read more.
The study aimed to explore the perception of foresters in relation to forest recreational management in the Czech Republic. Using qualitative research methods, specifically semi-structured in-depth interviews, the study gathered data to uncover the positive and negative factors influencing the work of foresters as recreational managers. Fifteen respondents from across the country, all involved in the development and management of forest recreation, participated in the study. Content analysis and grounded theory were applied to analyze the interviews with the aid of ATLAS.ti software (Student Semester License). The findings highlight foresters’ perception from two perspectives: as forest users and as professionals. The professional perspective also revealed challenges, benefits, and obstacles in managing recreational activities. A key theme that emerged was the relationship and communication with the public. The study found that foresters’ views on recreation management are complex, encompassing both positive and negative aspects. While they value contributing to the public good, they face issues such as environmental pollution, conflicts with visitors, rule enforcement, and a lack of recognition for their efforts. These challenges shape their professional outlook. The insights gained could guide future research and inform strategies to enhance forest recreation management. Full article
29 pages, 8122 KiB  
Review
UHPC Viability for Nuclear Storage Facilities: Synthesis and Critical Review of Durability, Thermal, and Nuclear Properties for Informed Mix Modifications
by Nataliia Igrashkina and Mohamed A. Moustafa
Materials 2025, 18(2), 430; https://doi.org/10.3390/ma18020430 - 17 Jan 2025
Cited by 2 | Viewed by 1029
Abstract
Spent nuclear fuel (SNF) from the United States’ nuclear power plants has been placed in dry cask storage systems since the 1980s. Due to the lack of a clear path for permanent geological repository for SNF, consolidated and long-term storage solutions that use [...] Read more.
Spent nuclear fuel (SNF) from the United States’ nuclear power plants has been placed in dry cask storage systems since the 1980s. Due to the lack of a clear path for permanent geological repository for SNF, consolidated and long-term storage solutions that use durable concrete and avoid current aging and licensing challenges are becoming indispensable. Ultra-high-performance concrete (UHPC) is a rapidly growing advanced concrete solution with superior mechanical and durability properties that can help realize future resilient nuclear storage facilities. Thus, the overall goal of this review study is to demonstrate the viability of UHPC as a long-term solution for future nuclear storage facilities. The paper first identifies all possible non-nuclear (environmental) and nuclear (thermal and radiation-induced) degradation mechanisms in concrete overpacks and storage modules with critical assessment and projections on UHPC performance in comparison to current conventional concrete solutions. Next, since concrete serves as a shielding material in nuclear settings, the preliminary attenuation properties of UHPC from emerging studies are synthesized along with the possible mix modifications to improve its attenuation performance. The paper identifies the major knowledge gaps to inform future research and development, aimed at rethinking the design of SNF dry storage facilities by incorporating UHPC. Full article
Show Figures

Figure 1

10 pages, 827 KiB  
Technical Note
A Novel and Automated Approach to Detect Sea- and Land-Based Aquaculture Facilities
by Maxim Veroli, Marco Martinoli, Arianna Martini, Riccardo Napolitano, Domitilla Pulcini, Nicolò Tonachella and Fabrizio Capoccioni
AgriEngineering 2025, 7(1), 11; https://doi.org/10.3390/agriengineering7010011 - 6 Jan 2025
Cited by 1 | Viewed by 856
Abstract
Aquaculture is a globally widespread practice and the world’s fastest-growing food sector and requires technological advances to both increase productivity and minimize environmental impacts. Monitoring the sector is one of the priorities of state governments, international organizations, such as the Food and Agriculture [...] Read more.
Aquaculture is a globally widespread practice and the world’s fastest-growing food sector and requires technological advances to both increase productivity and minimize environmental impacts. Monitoring the sector is one of the priorities of state governments, international organizations, such as the Food and Agriculture Organization of the United States (FAO), and the European Commission. Data collection in aquaculture, particularly information on the location, number, and size of production facilities, is challenging due to the time required, the extent of the area to be monitored, the frequent changes in farming infrastructures and licenses, and the lack of automated tools. Such information is usually obtained through direct communications (e.g., phone calls and e-mails) with aquaculture producers and is rarely confirmed with on-site measurements. This study describes an innovative and automated method to obtain data on the number and placement of structures for marine and freshwater finfish farming through a YOLOv4 model trained on high-resolution images. High-resolution images were extracted from Google Maps to test their use with the YOLO model for the identification and geolocation of both land (raceways used in salmonids farming) and sea-based (floating sea cages used in seabream, seabass, and meagre farming) aquaculture systems in Italy. An overall accuracy of approximately 85% of correct object recognition of the target class was achieved. Model accuracy was tested with a dataset that includes images from Tuscany (Italy), where all these farm typologies are represented. The results demonstrate that the approach proposed can identify, characterize, and geolocate sea- and land-based aquaculture structures without performing any post-processing procedure, by directly applying customized deep learning and artificial intelligence algorithms. Full article
(This article belongs to the Special Issue The Future of Artificial Intelligence in Agriculture)
Show Figures

Graphical abstract

Back to TopTop