Search Results (897)

Background: Global water scarcity, intensified by climate change, demands optimization of irrigation systems consuming 70% of freshwater resources. Despite significant investments in modernizing irrigation infrastructure from open channels to pressurized networks, performance often falls below expectations. Objective: This study develops an integrated diagnostic and simulation framework for evaluating and improving large-scale pressurized irrigation systems by adapting the Mapping System and Services for Pressurized Irrigation (MASSPRES) methodology. Methods: The framework integrates three components: (1) demand flow dynamics determination using stochastic modelling; (2) hydraulic performance simulation incorporating multiple flow regimes; and (3) performance analysis using relative pressure deficit and reliability indicators. The methodology combines deterministic soil water balance calculations with stochastic farmer behaviour modelling. Results: Application to the Sinistra Ofanto irrigation scheme revealed localized pressure deficits during peak demand periods. The rehabilitation strategy restored full hydraulic feasibility of the network, increasing the proportion of hydraulically satisfied operating configurations from 62% to 100% under peak demand conditions and ensuring adequate pressure at all 317 hydrants across the system. Conclusions: The methodology provides robust decision support for cost-effective rehabilitation, ensuring reliable water delivery while promoting water-energy efficiency. Full article

River water quality assessment has traditionally been conducted using univariate or threshold-based approaches; however, the exploration of extremes assessment under bivariate water quality variables has been limited by many studies. Understanding the compound extremes of low river discharge (Q) and elevated river water temperatures (RWTs) resulting from climatic variability is essential for effective water quality management and protection of the river. This study investigates the joint behaviour of RWTs and Q in six Indian rivers: Kaveri, Mahi, Sabarmati, Vardha, Bhadra, and Yamuna. The Weibull-3P and Generalised Extreme Value (GEV-3P) distributions best fit for Q and RWTs, respectively. The adequacy of eighteen different parametric copula classes was evaluated. The Gaussian copula provided the best fit for the Vardha River, the Frank copula for Bhadra, and the BB8 copula for the Yamuna River. The evaluation of joint return periods (RPs) and conditional distributions has identified notable spatial variability in compound hydrological and thermal extreme hazards. The semi-arid Vardha River showed the shortest RPs for simultaneous low Q and high RWTs, indicating a greater likelihood of combined extremes. Conversely, the monsoon-fed Bhadra River displayed moderate hazard levels, while the Himalayan-fed Yamuna River had the longest joint RPs and the lowest conditional probabilities. This suggests that simultaneous extreme drought and heat events are less likely in the Yamuna basin, although significant risks remain for less severe thresholds. Full article

Achieving urban climate neutrality and interim mitigation targets requires rapid demand-side emission reductions, yet current user-centred interventions remain fragmented, are often concentrated on low-impact actions, and rarely provide a traceable basis for comparing outcomes, validity conditions, and equity implications across contexts. This paper reframes demand-side mitigation as a design problem of “use infrastructures”: integrated configurations of communication, product-technology, services, interaction, and governance that make low-carbon choices practicable within everyday routines. We introduce the Design Evidence Link (DEL) as a traceability device supporting ex ante configuration (selection and orchestration of levers) and ex post verification (monitoring, attribution of outcomes, and trade-off control). Through a design-led comparative analysis of nine international cases in high-impact sectors (household energy, ground mobility, food systems, and circular economy/materials), we derive and consolidate a shared extraction and coding protocol that links determinants (barriers and enablers) to design requirements and decision-grade metrics (carbon impact, adoption, continuity, and equity), explicitly qualifying uncertainty and evidence levels. Cross-case results show that effective interventions rely less on isolated information and more on coordinated action packages that reduce cognitive and economic frictions, enhance data credibility through standards and accountability, and embed follow-up mechanisms that support behavioural continuity. DEL also surfaces recurring validity conditions and failure modes (digital exclusion, trust erosion, rebound, and lock-in), translating them into operational criteria for policy and design. Compared with behaviour-change or theory-of-change framings, DEL focuses on the observable orchestration of integrated conditions of use and on the explicit grading of evidence. It should therefore be read as a structured analytical–operational framework for ex ante and ex post assessment, whose transferability remains conditional on source quality, contextual prerequisites, and the limits of the selected cases. Full article

This study focuses on an integrated conceptual framework for smart municipal waste management that combines Pay-as-you-throw (PAYT) with digital technologies emerging from the Internet of Things (IoT), Artificial Intelligence, and blockchain. In the literature, a key limitation has long been recognised: the fragmented implementation of technological solutions and economic instruments in waste management systems. This model is proposed as a multi-layer architecture that integrates user identification, real-time data collection, predictive optimisation, and automated tariff calculation. The framework is expected to reduce mixed-waste volumes and improve operational efficiency while ensuring traceability and transparency in waste management. The framework also provides a practical basis for implementing circular economy principles and advancing climate and urban sustainability goals by linking user behaviour to cost allocation and data-driven monitoring. The findings highlight that measurable environmental benefits depend on the structural integration of behavioural incentives, real-time monitoring, and transparent data governance. The framework demonstrates how PAYT-based incentives, combined with digital monitoring, can reduce mixed waste volumes and associated emissions. Full article

Winter tourism is increasingly influenced by changing socio-demographic dynamics, climate change, and evolving leisure preferences. While prior research has examined winter tourist motivations, sustainability strategies and climate change adoption, less attention has been paid to differences between urban and rural residents in their attitudes toward domestic winter leisure tourism. This study addresses this gap by exploring variations in participation patterns, service evaluations, and overall tourism experiences among urban and rural Bulgarian residents. Drawing on a quantitative survey of urban and rural residents (n = 1003), the research systematizes the general characteristics of domestic winter leisure tourism practices and evaluates key tourism service dimensions, including accessibility, accommodation, pricing, infrastructure, and environmental quality. Descriptive statistics and inferential analyses were applied to identify statistically significant differences between groups. The findings reveal distinct behavioural and perceptual patterns: urban residents demonstrate higher participation frequency and place greater emphasis on service quality and diversified amenities, whereas rural residents show stronger sensitivity to pricing and accessibility factors. Differences are also observed in the overall evaluation of the tourism experience, reflecting structural and socio-economic disparities. The study contributes to winter tourism literature by integrating spatial residence into the analysis of domestic tourism demand and experience assessment. The results provide practical implications for destination managers and policymakers seeking to design differentiated marketing strategies and improve service provision in line with the needs of diverse domestic segments. Full article

The HVAC/R sector in Europe is undergoing significant transformation driven by climate policy, technological innovation, and increasing digitalization of industrial services. This study examines the sustainability and digital transformation of the Slovak business-to-business (B2B) HVAC/R market in the context of EU F-gas regulation and emerging workforce constraints. The research applies a qualitative–interpretive design supported by structured secondary-data analysis, a review of European and Slovak regulatory frameworks, comparative benchmarking against selected European markets, and exploratory semi-structured interviews with industry professionals. The analysis indicates that regulatory pressure associated with the phase-down of fluorinated greenhouse gases, rising demand for energy-efficient systems, and the growing role of digital communication channels are reshaping procurement behaviour and market competition. At the same time, the sector faces structural barriers, particularly the limited availability of certified technicians and uneven digital adoption among small and medium-sized enterprises. The findings suggest that firms integrating transparent sustainability communication, environmental performance indicators, and digital engagement strategies can strengthen their competitive positioning within the evolving European HVAC/R ecosystem. Full article

Microplastics (MPs) and microfibres (MFs) are widespread contaminants that are found in natural environments worldwide. Although their presence has been documented in Arctic snow, sea ice and marine systems, data on their occurrence in Greenland glacier surface ice remain limited. Because of their small size, persistence, and mobility, MPs and MFs pose significant risks to both habitats and species, reaching even the most remote areas. Monitoring these environments is crucial for assessing the extent of pollution, while dissemination activities are essential for transferring scientific knowledge to local communities and fostering active engagement in adopting sustainable behaviours. A preliminary survey was conducted on a glacier in Greenland, collecting samples along the routes travelled by the Extreme E staff during the electric off-road racing series expedition in the region. Preliminary results confirmed the presence of MPs and MFs in the study area with high abundances. Fibrous and small-sized microparticles were the most prevalent types detected. The most common synthetic material was polyethylene terephthalate (PET), while natural and regenerated MFs were predominantly cellulosic. A deeper understanding of MP and MF contamination in extreme environments was achieved, highlighting the importance of environmental education and public awareness as key tools in mitigating pollution and promoting sustainable strategies. The integration of different sectors can synergistically promote sustainability efforts and address the urgent challenges of climate change and environmental pollution. Full article

Thermal comfort is among the primary determinants of habitability in the built environment. In tropical developing countries, however, its treatment in public housing policy has often been limited, fragmented, and, in many cases, subordinated to energy-saving criteria that do not adequately reflect occupant needs or local climatic diversity. This study analyses the integration of thermal comfort within housing policy using a mixed-methods approach combining regulatory analysis with post-occupancy environmental monitoring. Empirical monitoring shows average indoor temperatures between 16.3 °C and 18.5 °C, with more than 80% of recorded hours falling below adaptive comfort thresholds and a predicted dissatisfaction rate (PPD) of approximately 47%. These findings demonstrate that compliance with efficiency-centred sustainability regulation does not necessarily ensure thermally adequate indoor conditions in occupied social housing, highlighting a structural gap in current regulatory frameworks between efficiency-based compliance and thermally adequate indoor conditions in occupied social housing. The analytical framework integrates three dimensions: policy analysis, environmental performance verification, and interpretation of occupant adaptive behaviour. Rather than claiming that Bogotá is statistically representative of all tropical conditions, the paper treats it as an analytically revealing case in which tensions among efficiency-centred regulation, imported comfort standards, and constrained occupant adaptation become visible. The paper also demonstrates that the current Colombian sustainability regulation (Resolution 0194 of 2025) operationalises sustainability primarily through energy and water saving targets and climatic zoning, while lacking explicit, verifiable indicators for thermal comfort, occupant well-being, or health outcomes. Finally, the paper discusses the relevance of locally calibrated standards, standardised field methodologies, and passive design strategies within a broader agenda of energy governance, environmental equity, and housing adequacy. Full article

Freezing cold injury (FCI) is a localized injury caused by prolonged exposure to sub-zero temperatures, posing a significant health risk to military personnel operating in extreme climates. This study aimed to explore how FCI affects the health and lives of soldiers in the Norwegian Armed Forces (NAF), addressing the broader context of its impact on military readiness and the personnel’s well-being. Sixteen participants with a history of grade 2 FCI were recruited through the Norwegian Armed Forces Health Registry and interviewed. Systematic content analysis was used to identify key themes related to the causes and consequences of FCI, as well as the influence of military culture. The findings indicate that FCI results from interacting environmental, behavioural, and systemic factors. Environmental contributors included cold exposure and limited opportunities to eat or drink. Behavioural and individual contributors included reduced awareness of bodily cues in cold conditions and the need to remove gloves for weapon handling under time pressure. Systemic contributors, particularly military cultural norms emphasizing strict discipline and toughness, were perceived to discourage early symptom reporting and the use of preventive measures. Most participants (11/16) reported long-term consequences, including chronic physical discomfort, functional limitations, and negative impacts on their careers and daily lives. This study highlights the significant short- and long-term consequences of FCI, which extend beyond physical harm to affect soldiers’ overall health, functioning, and career progression. The findings emphasize the need for targeted preventive measures to mitigate the risks of FCI and protect military personnel in extreme climates. Full article

The global energy transition aims to decarbonise both transportation and electricity generation to mitigate climate change and reduce reliance on fossil fuels. Electrification of private transportation, through the adoption of electric vehicles, presents a promising pathway to achieving the first objective. Concurrently, the rapid advancement and cost reduction of photovoltaic technology have positioned solar energy as a viable solution for renewable electricity production. This review synthesises recent modelling and empirical studies examining the synergies and challenges of coupling EV charging with photovoltaic electricity production. It explores the multifaceted benefits of this integration across various contexts: residential, workplace, highways, and public parking infrastructures. Additionally, the review delves into practical considerations essential for real-world implementation, such as political incentives, charging stations, and tariff structures. By offering an overview of the cost effectiveness and implementation challenges across the four corners of the world, in a diversity of climate, solar irradiance and mobility behaviours, the review bridges the gap identified in the previous reviews on the potential of coupling electric vehicle charging with photovoltaic electricity production. Full article

A substantial proportion of wildfires in Mediterranean regions continue to be recorded without information about the cause or source of ignition, limiting our ability to understand ignition drivers and design effective prevention strategies. In this study, we develop a spatially harmonised wildfire database for mainland Spain by integrating ignition records from the Spanish General Fire Statistics (EGIF) with fire perimeters generated from satellite images. We then apply a Random Forest classifier to infer ignition causes for events lacking cause attribution. To interpret model behaviour, we use Shapley Additive Explanation (SHAP) values at both global and local scales. Results indicate that human-caused ignitions are dominant, with intentional and negligence-related fires accounting for 52.13% of all known events, although they are associated with contrasting climatic and land-use settings. Negligence-related fires tend to occur under hot, dry and windy conditions, often in agricultural interfaces, whereas intentional fires are more frequent under cooler and wetter conditions and in areas with higher population density and land-use change. Lightning-caused fires represent a small fraction of total ignitions (3%) but exhibit a distinct climatic signature, occurring primarily in sparsely populated areas, under intermediate moisture conditions, and often leading to larger burned areas. Despite strong overall model performance (F1-score = 0.82), minority classes (e.g., lightning and fire rekindling, 0.17%) remain challenging to classify, reflecting both data imbalance and uncertainty in causal attribution. Overall, the combined use of machine learning and explainable AI provides a coherent spatial characterisation of wildfire ignition drivers across mainland Spain, highlights systematic differences among ignition causes, and identifies key limitations in existing fire cause records. This framework represents a practical step towards improving fire cause information by integrating remote sensing products with field-based fire reports, thereby supporting more targeted and evidence-based fire risk management. Full article

Covered courtyards are increasingly being adopted as a passive strategy for the climatic rehabilitation and adaptive reuse of historic buildings. However, their thermal behaviour is strongly conditioned by roof geometry, local climate conditions, and future climate warming, aspects that have not yet been comparatively addressed within a climate resilience framework. This study evaluates the energy and thermal performance of three representative roof typologies for covered historic courtyards—glazed dome, glazed flat roof, and south-facing sawtooth roof—across two Mediterranean climates of contrasting severity (cold continental and warm–dry), considering both current and future climatic conditions (2050–2080). Additionally, two design approaches are compared: a baseline design (BD), based exclusively on geometric configuration and standard glazing, and an enhanced passive design (EPD), which incorporates improved glazing, controlled natural ventilation, and seasonal solar control. Dynamic simulations using EnergyPlus/DesignBuilder are employed to analyse heating and cooling demands, free-running thermal behaviour, overheating risk, and the climatic robustness of each solution. The results show that roof geometry constitutes the dominant factor governing the long-term thermal resilience of covered courtyards, particularly under future climate warming scenarios, while enhanced passive strategies significantly mitigate cooling demand and overheating in the most penalised typologies. The south-facing sawtooth roof consistently exhibits the highest climatic robustness under free-running conditions across the analysed scenarios, whereas the glazed dome and flat roof solutions display greater climatic sensitivity and benefit more substantially from the application of enhanced passive design strategies. Overall, the results provide quantitative design criteria to support resilient interventions in historic covered courtyards in Mediterranean climates under climate change. Full article

Heat stress is a significant problem in dairy production that has detrimental effects on milk production, animal well-being and reproductive function. These effects are predicted to worsen due to climate change. With a focus on South African production systems, this review assesses the potential of combining precision livestock farming (PLF) and genomic selection (GS) technology to identify, measure and reduce heat stress in dairy cattle. In addition to PLF tools like wearable sensors, rumen boluses, infrared thermography, GPS- and weather-based decision-support systems, pertinent literature was reviewed to evaluate genomic approaches such as heritability estimates and genome-wide association studies identifying selection signatures for thermotolerance. While advances in genomic techniques have improved the identification of thermotolerance markers and the accuracy of breeding values for heat tolerance, evidence from recent studies shows that PLF technologies can accurately detect early physiological and behavioural indicators of heat stress in real time. The ability to select climate-resilient animals under realistic farm conditions is improved by combining high-resolution phenotypic data from PLF systems with genetic data. Overall, the review concludes that combining PLF and GS provides a useful and complementary approach to enhance the detection of heat stress, facilitate well-informed management choices and hasten the development of thermotolerant dairy cattle, all of which contribute to more sustainable dairy production under rising temperatures. Full article

The present study investigates the influence of low temperatures on the starting torque, viscous friction, and power intensity of a precision cycloidal reducer TwinSpin TS 140-115-E-P19-0583. Two types of plastic greases with differing viscosities were compared in the experiment: Castrol TT-1 (low-viscosity, optimised for low-temperature) and Vigo RE-0 (higher viscosity, designated for greater loads). The measurements were taken in a climate chamber in the temperature ranging from +24 °C to −20 °C in the mode accounting for no external load. The results have shown that Castrol TT-1 maintains its beneficial rheological properties at as low as −20 °C, which is manifested in a low starting torque (~0.30 Nm) and low power intensity (~0.33 kW). On the contrary, Vigo RE-0 shows a significant increase in friction: at −20 °C, the starting torque is 1.0–1.1 Nm and the power intensity of the operation increases to consume more than 1.5 kW. The correct choice of lubricant is a critical factor for reliable cold-start behaviour under no-load, internal-loss-dominated conditions. This study provides a rare experimentally verified low-temperature assessment of starting torque, viscous friction, and power intensity in fully assembled TwinSpin precision cycloidal reducers lubricated with greases of markedly different viscosity classes, addressing an important gap in the existing literature. Full article

Population aging and climate change are two long-term processes that increasingly intersect, yet their interrelationship remains insufficiently explored in Southeast Europe. This article examines how adults aged 50+ in Serbia and Bulgaria understand, perceive, and respond to climate risks, with the aim of identifying age-specific vulnerabilities as well as opportunities for climate action. We administered the ClimateMind50+ questionnaire to purposive national samples comprising 309 respondents in Serbia (CAPI, 82 municipalities) and 155 respondents in Bulgaria (CAWI, 74 municipalities). Socio-demographic differences were analyzed using descriptive statistics and χ² tests. The findings indicate moderate levels of self-assessed climate literacy, strong concern about the impacts of climate change on future generations, and heightened anxiety regarding extreme heat and prolonged dry periods. During climate-related emergencies, respondents rely predominantly on family networks rather than local institutions, and overall preparedness for extreme events remains limited. Adaptive and pro-environmental behaviors are modest and vary by gender, education level, and type of settlement. Population aging interacts with socio-economic vulnerability, energy poverty, regional decline, and governance constraints, shaping both exposure to climate risks and the capacity for behavioral adaptation. Climate strategies in both countries should therefore become more age-inclusive and socially responsive, recognizing older adults not only as a vulnerable group but also as active contributors to resilience. Full article