Search Results (3,003)

Artificial underground compressed air energy storage (CAES) caverns have the advantages of large capacity and flexible location. However, the location selection of CAES in conditions of hard shallowly buried rock requires comprehensive consideration of multi-field coupling effects and engineering constraints, and the decision-making process involves multiple criteria and strong uncertainty. Aimed at addressing the problems of the evaluation index system not being detailed enough and the weight determination being biased to a single subjective or objective method in the existing research, this paper constructs a multi-criteria site selection evaluation method for an artificial underground CAES chamber in hard shallowly buried rock. Firstly, starting from the four criteria layers of ground environment, construction convenience, regional geological characteristics, and basic geological characteristics, combined with literature research and expert investigation, an evaluation index system containing 13 indicators was established. Secondly, the analytic hierarchy process (AHP) and entropy weight method (EWM) were introduced, the combination of subjective weight and objective weight realized through game theory, and the comprehensive weight of each index obtained. Then, the VIKOR method was used to rank the four candidate sites—A, B, C, and D—and the results were compared with those of the weighted TOPSIS method and the weighted gray relational analysis method. The engineering example shows that site B has advantages in group utility value, individual regret value, and compromise index. It is judged the optimal scheme by the three methods, and the ranking is stable under different decision-making mechanism coefficients, which verifies the robustness and applicability of the AHP–EWM–VIKOR model. The results show that the proposed method can distinguish different site selection schemes more clearly, effectively and comprehensively reflect suitability under complex geological and engineering conditions, and provide quantitative decision support for engineering site selection of artificial underground CAES caverns. Full article

The demolition of historic residential buildings generates substantial construction and demolition waste, the effective management of which is essential for advancing circular economy objectives. This study presents a BIM-based waste management framework developed for European residential buildings constructed around the turn of the 19th and 20th centuries, reflecting their characteristic construction methods and material use. The framework employs a predefined structural and material database to automatically quantify waste streams from BIM data at LOD 300. Demolition materials are classified into eight categories consistent with the waste hierarchy: reuse, recycling, energy recovery, and disposal. The model also accounts for the influence of demolition techniques, enabling comparative scenario analysis of recovery outcomes. A Budapest case study demonstrated that selective manual demolition increases the proportion of high-value reuse from 19.6% to 56.8% compared to mechanical demolition, while preserving 88% of salvaged bricks and 90% of architectural stone elements. Although the framework was tested on a building in Budapest, the results are extendable to the wider Central European (Austro-Hungarian) building stock due to typological similarities. The findings confirm the framework’s capacity to support sustainable, circular waste management strategies in historic building demolition. Full article

Peganum harmala (L.) Schrad., a perennial medicinal plant thriving in arid Moroccan soils, represents a natural reservoir of unexplored bacterial diversity. To uncover its hidden foliar endosphere microbiota, we isolated and characterized two Acinetobacter strains: a novel endophytic bacterium, AGC35, and another strain, AGC59, newly reported from this host. Both are non-halophilic, aerobic, Gram-negative bacteria exhibiting optimal growth at 30–35 °C, pH5, and with 1% NaCl. An integrative genomic, phylogenetic, functional, and phenotypic characterization classified both strains within the genus Acinetobacter (class Gamma-pseudomonadota). However, Average Nucleotide Identity (<96%) and digital DNA-DNA Hybridization (<70%) values distinguished the AGC35 strain as a novel species, for which the name Acinetobacter endophylla sp. nov. is proposed. A comparative genomic and phenotypic analysis with the co-isolated Acinetobacter pittii strain AGC59 revealed extensive genome rearrangements, reflecting distinct evolutionary lineage and ecological strategies. While both genomes share core metabolic pathways, A. endophylla harbors specialized genes for the degradation of plant-derived aromatic compounds (e.g., catechol) but shows reduced capacities in carbohydrate metabolism and osmotic stress tolerance, traits indicative of a metabolic specialist with plant-growth-promotion potential, including phosphorus, potassium, and silicon solubilization and indole-3-acetic acid production. In contrast, A. pittii exhibits a more generalist genome enriched in stress functions. Analysis using the Antibiotics and Secondary Metabolite Analysis Shell revealed multiple biosynthetic gene clusters in both strains, showing ≤26% similarity to known references, suggesting the potential for novel antimicrobial secondary metabolite biosynthesis, including antifungal lipopeptides and thiopeptide antibiotics. Altogether, functional specialization and ecological coherence of these findings support the recognition of A. endophylla sp. nov. as a genomically and functionally distinct species, highlighting niche partitioning and adaptive metabolism within the P. harmala holobiont. These results underscore the plant’s value as a reservoir of untapped microbial diversity with significant ecological and biotechnological relevance. Finally, future work will focus on elucidating the novel metabolites encoded by the biosynthetic gene clusters in both isolates and exploring their applications in crop-improvement strategies and natural-product discovery. Full article

This study investigates the resilience dynamics of the Maldives’ tourism sector through a longitudinal analysis of tourist arrivals from six global regions (2008–2024), focusing on spatiotemporal behavioral shifts induced by external shocks such as the COVID-19 pandemic. Using ANOVA and time-series data, the findings reveal divergent recovery trajectories across regions, highlighting resilience as a differentiated and adaptive process. European markets exhibited a rapid, V-shaped rebound, surpassing pre-pandemic levels by 2022, reflecting the “One Island, One Resort” model’s alignment with post-crisis preferences for safety, isolation, and controlled environments. Conversely, Asian markets experienced a more gradual, L-shaped recovery due to extended mobility restrictions and slower border reopening. The analysis further demonstrates that tourism seasonality has been structurally reconfigured, with European arrivals still driven by climatic “push” factors (winter-sun demand). In contrast, Middle Eastern travel is anchored in cultural and religious “pull” factors, such as halal tourism and school vacations. These findings emphasize that tourism resilience is spatially, temporally, and behaviorally contingent, rather than uniform. Accordingly, policymakers should move beyond one-size-fits-all recovery models and implement spatially targeted, adaptive strategies, including customized marketing, diversified tourism offerings, and crisis-ready governance frameworks, to mitigate seasonality and reinforce the Maldives’ long-term capacity to withstand future shocks. Full article

Energy plays a crucial role in the development of societies, yet increasing demand and pressure for production pose significant environmental challenges. This study addresses the critical need for renewable energy, particularly solar power, in light of the projected 50% increase in global energy consumption by 2050 and the European Union’s goals for reducing greenhouse gas emissions. While Albania predominantly relies on hydropower for electricity generation, which constitutes 95% of its capacity, the variability in hydropower underscores the necessity for diversifying energy sources, especially to harness the country’s solar potential. This research aims to assess industrial awareness and the influence of government subsidies and financial incentives on investment intentions through data gathered from questionnaires conducted in 2023. The findings reveal a substantial interest in solar energy, reflecting a gap in the existing literature which primarily focuses on developed economies. By contributing insights into renewable energy awareness in Albania, this paper addresses a significant gap in research concerning transition countries in the Western Balkans. The study ultimately emphasizes the importance of industrial awareness and environmental protection in adopting sustainable energy practices in a region characterized by abundant solar resources. The findings of the study highlight that there is a significant awareness–action gap regarding solar panels. Therefore, financial support and technical assistance are necessary for businesses to adopt solar energy technologies. Full article

Accurate prediction of road traffic crash severity is essential for developing data-driven safety strategies and optimizing resource allocation. This study presents a predictive modeling framework that utilizes Random Forest (RF), Gradient Boosting (GB), and K-Nearest Neighbors (KNN) to estimate segment-level frequencies of fatalities, serious injuries, and slight injuries on Hungarian roadways. The model integrates an extensive array of predictor variables, including roadway geometric design features, traffic volumes, and traffic composition metrics. To address class imbalance, each severity class was modeled using resampled datasets generated via the Synthetic Minority Over-sampling Technique (SMOTE), and model performance was optimized through grid-search cross-validation for hyperparameter optimization. For the prediction of serious- and slight-injury crash counts, the Random Forest (RF) ensemble model demonstrated the most robust performance, consistently attaining test accuracies above 0.91 and coefficient of determination (R²) values exceeding 0.95. In contrast, for fatalities count prediction, the Gradient Boosting (GB) model achieved the highest accuracy (0.95), with an R² value greater than 0.87. Feature importance analysis revealed that heavy vehicle flows consistently dominate crash severity prediction. Horizontal alignment features primarily influenced fatal crashes, while capacity utilization was more relevant for slight and serious injuries, reflecting the roles of geometric design and operational conditions in shaping crash occurrence and severity. The proposed framework demonstrates the effectiveness of machine learning approaches in capturing non-linear relationships within transportation safety data and offers a scalable, interpretable tool to support evidence-based decision-making for targeted safety interventions. Full article

Rapid urban growth in South Indian coastal cities such as Chennai has intensified the Urban Heat Island (UHI) effect, with paved parking lots, walkways, and open spaces acting as major heat reservoirs. This study specifically compares conventional construction materials with natural and low-thermal-inertia alternatives to evaluate their relative ability to mitigate Surface Urban Heat Island (SUHI) effects. Unlike previous studies that examine isolated materials or single seasons, this pilot provides a unified, multi-season comparison of nine urban surfaces, offering new evidence on their comparative cooling performance. To assess practical mitigation strategies, a field pilot was conducted using nine surface types commonly employed in the region—concrete, interlocking tiles, parking tiles, white cooling tiles, white-painted concrete, natural grass, synthetic turf, barren soil, and a novel 10% coconut-shell biochar concrete. The rationale of this comparison is to evaluate how conventional, reflective, vegetated, and low-thermal-inertia surfaces differ in their capacity to reduce surface heating, thereby identifying practical, material-based strategies for SUHI mitigation in tropical cities. Surface temperatures were measured at four times of day (pre-dawn, noon, sunset, night) across three months (winter, transition, summer). Results revealed sharp noon-time contrasts: synthetic turf and barren soil peaked above 45–70 °C in summer, while reflective coatings and natural grass remained 25–35 °C cooler. High thermal-mass materials such as concrete and interlocked tiles retained heat into the evening, whereas grass and reflective tiles cooled rapidly, lowering late-day and nocturnal heat loads. Biochar concrete performed thermally similarly to conventional concrete but offered co-benefits of ~10% cement reduction, carbon sequestration, and sustainable reuse of locally abundant coconut shell waste. Full article

Global fishery resources are under increasing pressure from environmental change and institutional constraints. China’s seasonal fishing moratorium has contributed to resource recovery but has also created income and employment challenges for small-scale fishers. This study examines how livelihood capital structures shape annual livelihood portfolios under predictable closure constraints, using three representative fishing communities in Guangdong Province as case studies. A combination of data augmentation, regression analysis, and agent-based simulation was applied to analyze the relationships between capital endowments and behavioral responses. Results show that environmental and financial capital significantly increase the likelihood of maintaining capture as the primary livelihood, while psychological capital stabilizes decisions under uncertainty. Physical capital and social networks exhibit more variable effects, reflecting differentiated adaptive capacities. Simulations further reveal threshold effects and diminishing marginal returns in capital accumulation, with heterogeneous temporal impacts across capital types. Theoretically, the study extends the Sustainable Livelihoods Approach by incorporating environmental and psychological capital, thereby enriching the understanding of capital mechanisms in fisheries. Overall, the findings advance knowledge of how small-scale fishers adapt under institutional constraints and provide practical insights for policies aimed at aligning livelihood security with the sustainable use of marine resources. Full article

Managing community cats on islands requires reconciling animal-welfare mandates with biodiversity protection under real operational constraints. In the Canary Islands (Spain), national Law 7/2023 endorses ethical, non-lethal colony management, while subsequent regional resolutions restrict TNR in and around protected areas, narrowing municipal room for action. We combine a multilevel governance assessment with stochastic demographic simulations parameterized from official records to compare three sterilization regimes over 20 years. The intensive regime (≈60–70%/year) reflects the coverage threshold previously identified by Spain-based modelling and field evaluations and adopted in national program guidance; the 20%/year regime represents the pre-resolution baseline widely observed across the archipelago up to December 2024; and the 4%/year regime reflects the post-resolution reality, with abrupt declines in sterilizations, operations largely confined to urban cores, and program suspensions in multiple municipalities. Minimal (4%) and low (20%) efforts produce rapid population growth, bringing numbers close to the assumed carrying capacity under our deliberately high-K configuration and sustaining high densities and associated welfare and ecological risks; only sustained high-coverage TNR prevents saturation and produces progressive declines across island contexts. Under insular constraints, outcomes are determined by achievable coverage rather than regulatory intent; aligning policy and implementation to secure continuous, high-coverage TNR—particularly in risk-sensitive areas with appropriate safeguards—offers a feasible pathway to meet animal-welfare obligations while limiting ecological pressure. Full article

This article presents a novel methodology for assessing the visibility and reachability of cultural heritage objects within urban structures, tested through a pilot study in Kaunas New Town (Naujamiestis), Lithuania. While heritage protection policies usually emphasize architectural composition, details, and external visual protection zones, interior urban views and functional spatial dynamics remain underexplored. Building upon Space Syntax theory and John Peponis’s concepts of distributive and correlative situational codes, this study integrates detailed visibility analysis with graph-based accessibility modeling. Visibility was quantified through a raster-based viewshed analysis of building footprints and street-based observation points, producing a normalized visibility index. Reachability was examined using a new graph indicator based on the ratio of reachable polygon area to perimeter (A²/P), further weighted by the area of adjacent buildings to reflect the potential for urban activity. Validation against independent datasets (population, companies, and points of interest) confirmed the superior explanatory power of the proposed indicator over traditional centralities. By combining visibility and reachability in a bivariate matrix, the model provides insights into heritage objects’ dual roles as landmarks, everyday hubs, or hidden sites, and offers predictive capacity for evaluating urban transformations and planning interventions. Full article

This study investigates the morphometric and anthropogenic controls governing the occurrence and spatial distribution of tributary–junction fans (TJFs) along the Chaudière River, Québec, Canada. Using GIS-based morphometric analysis, field validation, and multivariate statistics (PCA, CART, LDA), 142 tributary watersheds were analyzed, of which 41 display fan-shaped depositional features. Basin relief, drainage density, contributing area, and slope–area coupling emerge as the dominant predictors of TJF development, delineating an intermediate energy domain where sediment supply and transport capacity become balanced enough to allow partial geomorphic coupling at confluence nodes. CART analysis identified approximate slope and area thresholds (slope < 9°, area > 20 km²; 66% accuracy), while LDA achieved 76%, indicating that morphometry provides useful but incomplete predictive power. These moderate performances reflect the additional influence of event-scale hydrological forcing and unquantified Quaternary substrate heterogeneity typical of postglacial terrain. Beyond morphometry, anthropogenic disturbance exerts a secondary but context-dependent influence, with moderately disturbed watersheds (10–50% altered) showing higher frequencies of fans than both highly engineered (>50%) and minimally disturbed (<10%). This pattern suggests that land-use modification can locally reinforce or offset morphometric predisposition by altering sediment-routing pathways. Overall, TJFs function as localized sediment-storage buffers that may be periodically reactivated during high-magnitude floods. The combined effects of basin geometry, land-use pressures, and hydroclimatic variability explain their spatial distribution. The study provides an indicative, process-informed framework for evaluating sediment connectivity and depositional thresholds in cold-region fluvial systems, with implications for geomorphic interpretation and hazard management. Full article

The bell tower of Murcia Cathedral (1521–1793) exhibits a documented inclination whose origin and structural significance have never been examined through an integrated geotechnical–structural approach. This study aims to identify the causes, quantify the magnitude, and assess the safety implications of the tower’s long-term differential settlement. A multidisciplinary methodology is adopted, combining historical construction records, geological and geotechnical data from the Segura alluvial plain, non-destructive testing of masonry, and classical analytical modelling based on Heyman’s masonry theory, consolidation mechanics, and elastic column behaviour. This approach is selected in place of finite element modelling because the tower’s geometry, construction sequence, and material parameters are sufficiently constrained to allow a non-invasive and verifiable assessment suited to heritage structures. Results indicate a total horizontal displacement of approximately 0.56 m toward the northwest, produced by the slow consolidation of compressible silty–clayey deposits influenced by groundwater fluctuations and by historical eccentric load redistributions during the eighteenth-century construction phase. The calculated working compressive stresses (0.83–1.02 N/mm²) remain far below the estimated strength of the limestone masonry, and the bearing capacity analysis suggests a safety factor of about 1.5 against foundation failure. These findings confirm that the tower’s deformation reflects the long-term geotechnical response of the subsoil rather than structural instability. The study provides a non-destructive analytical framework for interpreting settlement mechanisms in historic masonry towers and contributes a quantitatively grounded explanation of the Murcia Cathedral tower’s inclination, offering guidance for future assessment of similar heritage structures. Full article

This study evaluated whether the volatile profile of methyl linoleate (MLO) can predict its pro-inflammatory capacity. MLO was subjected to two oxidation conditions simulating ambient storage and high-temperature frying. Free radicals, volatile compounds, and aldehydes were quantified using ESR, HS-SPME-GC-MS, and UPLC-MS/MS. Oxidized MLO was applied to RAW264.7 macrophages to evaluate inflammatory cytokines and oxidative stress responses, and PLSR models were developed to predict cellular outcomes based on volatile fingerprints. Both oxidation conditions induced substantial increases in short-chain and unsaturated aldehydes, with high-temperature oxidation generating markedly higher levels of key volatiles. Oxidized MLO significantly elevated TNF-α, IL-1β, COX-2, ROS, NO, and MDA while reducing SOD activity (p < 0.05), demonstrating strong pro-inflammatory and pro-oxidant effects. Volatile-based PLSR models achieved high predictive performance, with cross-validated and external R² values approaching 0.9 and RPD values exceeding 2. These findings show that volatile oxidation products reliably reflect the pro-inflammatory potency of oxidized lipids and can support the ranking of oxidized oils and lipid-rich foods, as well as guide processing and dietary strategies. Full article

To address the issue of microstructure damage and stability deterioration of coal pillar dams in underground coal mine reservoirs caused by long-term exposure to highly mineralized mine water, this study conducts indoor simulation experiments to investigate the evolution of coal microstructures under immersion in salt solutions with varying mineralization degrees (1000–2000 mg/L). Changes in solution chemical parameters are monitored through dynamic water quality analysis, while the pore-fracture structure of coal is quantitatively characterized using scanning electron microscopy (SEM) and a pore-crack analysis system (PCAS). Results indicate that with increasing mineralization, solution pH initially decreases due to H⁺ release from pyrite and siderite oxidation, followed by a slight recovery in later stages owing to the buffering capacity of HCO₃⁻. The trends of TDS and EC are consistent, initially slightly decreasing due to ion adsorption, and then rising with the dissolution of minerals in the later stage. The continuous decline in ORP indicates a progressive enhancement in the solution’s reducing potential. Microstructural observations reveal that after immersion in highly mineralized solutions, the coal matrix undergoes more severe fragmentation, with increased pore quantity and irregular pore morphology, and the fracture network becomes more developed and interconnected. Quantitative analysis further demonstrates that, with increasing mineralization, the proportion of large pores (>24 μm) significantly rises; the fractal dimension first decreases and then increases; the rise in probability entropy reflects enhanced spatial disorder in pore arrangement; and the pore area ratio increases. The research results provide a theoretical basis for the long-term stability evaluation and safety control of coal pillars in highly mineralized mine water environments. Full article

As critical reservoirs of biodiversity and providers of ecosystem services, wetland ecosystems play a pivotal role in maintaining global ecological balance. They not only serve as habitats for diverse aquatic and terrestrial organisms but also play substantial roles in water purification, carbon sequestration, and climate regulation. However, intensified anthropogenic activities—including drainage, fertilization, invasion by alien species, grazing, and urbanization—pose unprecedented threats, leading to profound alterations in the functional traits of wetland plants. This review synthesizes findings from peer-reviewed studies published between 2005 and 2024 to elucidate the mechanisms by which human disturbances affect plant functional traits in wetlands. Drainage was found to markedly reduce plant biomass in swamp ecosystems, while mesophyte and tree biomass increased, likely reflecting altered water availability and species-specific adaptive capacities. Mowing and grazing enhanced aboveground biomass and specific leaf area in the short term but ultimately reduced plant height and leaf dry matter content, indicating potential long-term declines in ecological adaptability. Invasive alien species strongly suppressed the growth of native species, reducing biomass and height and thereby threatening ecosystem stability. Eutrophication initially promoted aboveground biomass, but excessive nutrient inputs led to subsequent declines, highlighting ecosystems’ vulnerability to shifts in trophic state. Similarly, fertilization played a dual role: moderate inputs stimulated plant growth, whereas excessive inputs impaired growth performance and exacerbated eutrophication of soils and water bodies. Urbanization further diminished key plant traits, reduced habitat extent, and compromised ecological functions. Overall, this review underscores the profound impacts of anthropogenic disturbances on wetland plant functional traits and their cascading effects on ecosystem structure and function. It provides a scientific foundation for conservation and management strategies aimed at enhancing ecosystem resilience. Future research should focus on disentangling disturbance-specific mechanisms across different wetland types and developing ecological engineering and management practices. Recommended measures include rational land-use planning, effective control of invasive species, and optimized fertilization regimes to safeguard wetland biodiversity, restore ecosystem functions, and promote sustainable development. Full article