Search Results (1,210)

Climate change necessitates a global transition toward green and low-carbon development, underscoring the critical importance of energy efficiency. Buildings account for a substantial portion of urban energy consumption and carbon emissions, with central air-conditioning systems representing the largest energy-consuming component. This study focuses on optimizing equipment selection—including chillers, pumps, and cooling towers—for the refrigeration plant of a commercial complex in Xiamen. Following theoretical optimization, the operational performance of the implemented system was empirically analyzed using long-term monitoring data from 2024 to 2025. The results demonstrate an energy efficiency ratio (EER) of 5.44 in 2024 and 5.28 in 2025, surpassing the Grade I efficiency threshold (5.2) stipulated by the Chinese standard T/CRAAS 1039-2023. Monthly EER values consistently remained above 5.06 throughout the cooling season. Detailed performance analysis of individual equipment further confirmed that actual operational performance of chillers, pumps, and cooling towers closely matched or even exceeded rated performance metrics, with chiller efficiency deviations controlled within 5%. This study integrates optimized equipment selection at the design stage with empirical performance analysis based on actual operation, providing a validated approach for improving the energy efficiency of refrigeration plants in commercial buildings and offering valuable references for the revision of relevant energy efficiency standards. Full article

Background: Antimicrobial stewardship programs (ASPs) are critical for promoting rational antibiotic use. While early implementation outcomes have been reported, extended follow-up sustainability and the impact on high-priority broad-spectrum antibiotics in South Korean secondary/tertiary hospitals require further validation. This study aimed to evaluate the extended outcomes and sustainability of an ASP over a 14-month period. Methods: This retrospective, single-center study analyzed ASP activities from January 2025 to February 2026 at a tertiary hospital in South Korea. Interventions included prospective audit and feedback (PAF) for restricted antibiotics and recommendations for prolonged prescriptions (≥14 days). Primary outcomes were the monthly rejection rate of restricted antibiotics and the acceptance rate of ASP interventions. Secondary outcomes included the days of therapy (DOT) per 1000 patient–days for meropenem and piperacillin/tazobactam (Pip/Taz). Results: During the 14-month period, the ASP intervention acceptance rate increased significantly from a mean of 72.0% in the implementation phase (January–April 2025) to 81.2% in the stabilization phase (May 2025–February 2026) (p = 0.035). The DOT for Pip/Taz decreased significantly from 169.4 to 151.8 per 1000 patient–days (p = 0.002), with a significant negative correlation identified between the intervention acceptance rate and Pip/Taz consumption (r = −0.625, p = 0.017). Although overall meropenem DOT showed seasonal fluctuations without reaching statistical significance across phases, a year-over-year comparison revealed a 7.5% reduction in meropenem DOT (January–February 2025: 54.8 vs. January–February 2026: 50.7 per 1000 patient–days). The rejection rate for restricted antibiotics declined from 3.8% to 2.6%, suggesting that clinicians increasingly self-regulated inappropriate prescribing attempts. Conclusions: The ASP demonstrated extended follow-up sustainability with a significant reduction in the consumption of key broad-spectrum antibiotics. A progressive increase in clinician acceptance of ASP interventions from 72.0% to 81.2%, combined with a concurrent decline in the restricted antibiotic rejection rate, reflected a measurable shift in institutional prescribing culture and confirmed the successful transition to a stabilized program. These findings support the necessity of sustained multidisciplinary ASPs, even in resource-limited settings, to combat antimicrobial resistance effectively. Full article

Urban water–vegetation systems play an important role in mitigating surface heat, yet the spatial decay structure of shoreline-mediated cooling remains insufficiently quantified in high-density urban environments. Focusing on seven urban water bodies within the heritage buffer zone of the Beijing Central Axis, this study combines 120 m shoreline segmentation with 0–600 m ring-buffer analysis to examine seasonal shoreline cooling patterns using Landsat-derived land surface temperature (LST) and Sentinel-2 vegetation information. The results show that shoreline cooling followed a layered spatial decay structure rather than a single fixed-distance effect. The most rapid LST increase generally occurred within the first 200 m from the shoreline, forming a nearshore rapid-gradient zone, while cooling distance (CD) represented a broader outward reach of detectable cooling. Cooling intensity (CI) was strongest in summer, whereas the seasonal differentiation of CD was weaker than that of CI. Vegetation greenness was generally negatively associated with LST, especially in the near and middle shoreline zones, and this relationship was supported by the same-date Landsat NDVI robustness test. After controlling for built-up intensity and waterbody-specific differences, shoreline distance, vegetation greenness, and built-up intensity mainly operated as additive spatial predictors of LST, while the NDVI × Distance interaction provided limited additional explanatory power. These findings suggest that shoreline cooling in high-density heritage urban areas should be understood as a spatially differentiated interface process, and that planning should prioritize the nearshore rapid-gradient zone while managing the broader shoreline transition area according to local vegetation and built-up conditions. Full article

Against the backdrop of the global advancement of carbon neutrality goals and the energy transition in the building sector, zero-carbon buildings have emerged as pivotal enablers for achieving carbon neutrality in the construction industry. The rule-based scheduling of energy storage systems (ESS) is critical to enhancing energy efficiency and economic performance of buildings. This study takes the Jinan Zero-Carbon Operation Center Project in Shandong Province as the research object, developing a comprehensive technical framework covering the entire process from design to operation, and investigates the rule-based design and ESS scheduling strategies in response to Shandong’s newly implemented seasonal time-of-use (TOU) electricity pricing policy. First, core performance indicators are defined in accordance with national evaluation standards for zero-carbon buildings. Hourly building energy loads and photovoltaic (PV) generation profiles are simulated over a full year, which serves as the basis for determining the optimal PV installed capacity and ESS sizing. Second, an ESS scheduling strategy integrating PV generation forecasting and the seasonal TOU electricity price structure is formulated, with clear charging and discharging logic defined. Finally, the operational and economic performance of different scheduling modes are evaluated and compared through case studies. The results show that the annual PV generation ratio reaches 101.38%, with a self-consumption rate of 73% and a self-sufficiency rate of 72%, all meeting the core requirements for zero-carbon buildings. Compared with the conventional real-time scheduling mode (Mode 1), the proposed optimized mode (Mode 2) that incorporates TOU pricing and PV forecasting achieves an annual operational cost saving of 367,349 CNY, corresponding to a reduction of 47.02%. Distinct seasonal variations in core indicators are also observed: the PV generation ratio is lower in summer and winter but the self-consumption rate is higher, with the opposite trend in spring and autumn. The proposed technical framework and scheduling strategy provide practical guidance for the design and operational optimization of zero-carbon buildings and offer decision-making support for ESS operation under TOU electricity pricing policies. Full article

As climate change worsens, irrigation modernization has become critical for better water distribution and maintaining rice production in the face of increasing water constraints. However, there remains a gap in quantification regarding the environmental trade-offs between pump-managed and gravity-based irrigation systems, especially in integrated assessments that relate economic performance, carbon emissions, and water use. This study used an integrated framework of water productivity (WP), consumptive water footprint (WF), carbon footprint, and eco-efficiency to compare gravity-based and pump-managed systems in the Don Chedi Operation and Maintenance Project, Thailand, from 2021 to 2023. The results showed no significant differences in WP and WF between systems. WP averaged 0.39 kg m⁻³ during the wet seasons and 0.54 kg m⁻³ during the dry seasons, while the WF averaged 2517 m³ t⁻¹ and 1854 m³ t⁻¹, respectively. These findings indicate that pump-managed irrigation enhanced operational flexibility and yield stability but did not substantially improve water use efficiency. However, compared with the gravity-based system, the pump-managed system produced much greater carbon emissions, with total carbon footprints ranging from 1.252 to 1.333 tCO₂eq t⁻¹, or five times higher in the irrigation process. Eco-efficiency metrics rose by up to 8.11% despite this environmental burden, indicating enhanced economic resilience amid fluctuating water conditions. These results show a recurring trade-off between low-carbon agricultural development and irrigation modernization. The study therefore emphasizes the importance of integrating renewable energy and low-carbon technologies into pump-based irrigation systems to support climate-resilient and sustainable agricultural transitions. Full article

Under the pronounced warming–wetting trend in Northwest China, understanding vegetation responses to the redistribution of hydrothermal resources is essential for interpreting regional ecohydrological processes. Here, we developed a bivariate Long Short-Term Memory (LSTM) model to simulate leaf area index (LAI) dynamics for four representative vegetation types (cold temperate forest, shrubland, grassland, and cropland), using air temperature and soil moisture as predictors. The model reproduces seasonal vegetation phenology well across vegetation types (R² > 0.9), indicating that LSTM effectively captures the cumulative and lagged effects of hydrothermal drivers. However, its performance diverges at the interannual scale. Interannual variability in grasslands in water-limited environments is reasonably represented (R² = 0.31), consistent with their sensitivity to short-term hydroclimatic variability under warming–wetting conditions. In contrast, the model fails to reproduce the observed long-term greening trend in forests when driven solely by hydrothermal variables. This contrast suggests distinct underlying mechanisms across ecosystem types. Grassland dynamics are closely linked to high-frequency hydroclimatic variability, whereas forest growth appears to be governed by slower processes and low-frequency drivers, including CO₂ fertilization, nitrogen deposition, and ecological inertia. As a result, hydrothermal variables alone are insufficient to explain long-term forest dynamics. Overall, these findings highlight a transition from water-limited to energy- and process-limited controls across vegetation types and underscore the limitations of purely climate-driven models. Integrating biogeochemical processes or process-based constraints into machine learning frameworks may therefore be necessary to improve predictions of long-term vegetation change under climate change. Full article

The Metropolitan Area of São Paulo (MASP), located in southeastern Brazil, faces significant air quality challenges due to its large vehicle fleet and complex fuel composition, including widespread ethanol use. Air pollution dynamics in this context are investigated, focusing on spatio-temporal variations in formaldehyde (HCHO) and nitrogen dioxide (${\mathrm{NO}}_2$), and their role in ozone (${\mathrm{O}}_3$) formation. High-resolution data from the TROPOspheric Monitoring Instrument (TROPOMI) on board the Sentinel-5 Precursor satellite are used to analyze HCHO and ${\mathrm{NO}}_2$ vertical column densities (VCDs) over a 5-year period (2019–2023). Results reveal high HCHO and ${\mathrm{NO}}_2$ VCDs over MASP, with spatial patterns related to land use and higher concentrations during the dry season, with HCHO mean VCD reaching 14.21 × ${10}^{15}$ molecules ${\mathrm{cm}}^{-2}$ and ${\mathrm{NO}}_2$ mean VCD reaching 8.91 × ${10}^{15}$ molecules ${\mathrm{cm}}^{-2}$. The Formaldehyde to Nitrogen dioxide Ratio (FNR) thresholds were derived based on observations from 24 CETESB surface ${\mathrm{O}}_3$ monitoring stations, providing region-specific constraints for ${\mathrm{O}}_3$ sensitivity classification in MASP, with lower and upper thresholds of 1.6 and 2.4. Based on these thresholds, the analysis indicates a predominance of VOC-sensitive conditions in the urban core, alongside transition and NOx-limited regimes in other areas. Full article

This study analyzes changes in temperature, precipitation, and drought conditions on three small islands in the southern Adriatic (Vis, Lastovo, and Mljet) over the period 1981–2024, to identify the spatial and seasonal heterogeneity of the climate signal and its relationship with drought occurrence. The analysis reveals a statistically significant and consistent increase in mean annual air temperature at all analyzed stations, with warming being strongly seasonally asymmetric and most pronounced during the summer months. In contrast, precipitation trends are weak, spatially heterogeneous, and statistically insignificant in most cases, with a locally pronounced increase in precipitation in the interior and more orographically complex areas of Mljet. Drought conditions were assessed using the Standardized Precipitation Index (SPI) and the New Drought Index (NDI). The annual SPI exhibits strong interannual variability without a clear long-term trend, and in some cases an apparent increase driven by episodic extremely wet years. In contrast, the NDI clearly detects a systematic increase in aridity, particularly during the warm part of the year, reflecting the combined effect of rising temperatures and unfavourable precipitation distribution. June emerges as a key transitional month with a regionally coherent and statistically significant drying signal, whereas October shows weak and inconsistent trends due to the dominance of episodic precipitation extremes. The results confirm that drought assessment on small Mediterranean islands based solely on precipitation may be misleading, and that integrated indices incorporating the energy aspect of climate provide a more realistic representation of changes in aridity. Full article

This study investigates the physiological trade-off between biomass yield and sugar concentration in five sweet sorghum genotypes to evaluate how carbon partitioning influences bioethanol potential. Field experiments were conducted over the 2019–2020 seasons in the East Marmara transitional zone of Türkiye, under irrigated and rain-fed regimes. Results revealed a highly significant genotype × water regime interaction (p < 0.001). A distinct trade-off was identified: while the hybrid ‘Teide’ maximized juice volume under irrigation (2427.67 L ha⁻¹), ‘Leoti’ maintained superior sugar stability (18.38 °Brix) under moisture deficit. Genotype plus Genotype × Environment Interaction (GGE) biplot analysis indicated that ‘Early Sumac’ provided the highest environmental buffering, balancing productivity and sugar density across water regimes. Principal Component Analysis (PCA) demonstrated that plant height (averaging 214.2 cm) was positively associated with juice yield and concentration. Under irrigation, ‘Teide’ produced the highest bioethanol yield (1690.7 L ha⁻¹), whereas ‘Nutrihang’ led output under rain-fed conditions. While these site-specific trends offer valuable insights into local bioenergy stability, further multi-location trials are necessary to confirm these patterns on a broader scale. The findings conclude that feedstock selection must be categorized by water availability to optimize sweet sorghum-based bioenergy systems in water-limited environments. Full article

Snow cover plays an important role in ecological stability and seasonal water regulation in the western Greater Khingan Mountains of Inner Mongolia, a cold-region transitional zone where climate warming may intensify environmental vulnerability and sustainability challenges. Using long-term remote sensing, meteorological, and topographic datasets, this study examined the spatiotemporal changes in snow cover and assessed the relative influences of climatic and geographic factors. The results showed pronounced spatial heterogeneity, with greater snow depth and longer snow cover duration occurring in the northeastern, high-altitude, gentle-slope, and north-facing areas. Snow depth showed a slight but marginally significant declining trend during 1982–2024 at a rate of 0.026 cm a⁻¹, while snow cover days decreased by 0.39 d a⁻¹ during 1982–2020. Snow cover onset exhibited a slight but significant delay, whereas snowmelt timing showed strong interannual variability. Compared with precipitation, temperature showed stronger and more persistent associations with snow cover variations, and climatic factors explained a larger proportion of snow-depth variability than geographic factors. Overall, the results suggest that regional warming has played a leading role in recent snow cover decline. These findings improve understanding of climate-sensitive snow dynamics and provide useful evidence for ecological conservation, seasonal water-resource adaptation, and sustainable regional management in cold-region landscapes of northern China. Full article

This study evaluated the implementation of reproductive technologies and their effects on pregnancy rates (PRs) and calving distribution. Producers (n = 11) were enrolled in Level 1 or 2 and subsequently transitioned to Level 2 or 3. Level 1: females were exposed to natural service (NS) only versus estrous synchronization (7d-CIDR) before NS (SynNS). Level 2: SynNS versus fixed-time artificial insemination (SynAI; 7d-CO-Synch + CIDR) with conventional semen. Level 3: conventional versus sex-skewed semen (FTAI-con and FTAI-sexed, respectively). Artificial insemination occurred 60–66 h post CIDR removal (SynAI; FTAI-con; FTAI-sexed) and bulls were introduced on d 0 (NS and SynNS) or 10–14 d post artificial insemination (SynAI; FTAI-con; FTAI-sexed). Breeding season PRs did not differ between treatments (p > 0.50). In Level 2, SynNS had greater 21 d PRs compared to SynAI (p < 0.01). For Level 3, FTAI-con had greater 21 d PRs compared to FTAI-sexed (p < 0.01). In Level 1, the proportion of cows that calved by day 14 was greater for SynNS compared to NS (p < 0.01). In Level 2, SynAI had a greater proportion calved by day 7 (p = 0.01); however, SynNS had a greater proportion calved by day 21 and 42 (p < 0.01). In Level 3, FTAI-con had a greater proportion calved by day 14 and 21 (p < 0.01) compared to FTAI-sexed. In conclusion, reproductive technologies altered the calving distribution with more calves born earlier. Full article

Daylight Saving Time (DST) creates abrupt, externally imposed circadian disruptions that can impair sleep regulation, hormonal balance, cognitive performance, and emotional stability. Although these effects are known in the general population, individuals with chronic mental illness, whose circadian systems are often intrinsically dysregulated, may face increased neuropsychological consequences. This comprehensive review synthesizes evidence from chronobiology, psychiatry, neuroscience, and population health to examine how DST-related circadian misalignment impacts cognitive functioning, mood regulation, suicidality risk, and symptom exacerbation across psychological disorders such as depression, anxiety disorders, bipolar disorder, post-traumatic stress disorder, attention-deficit/hyperactivity disorder, and psychotic disorders. Following the Scale for the Assessment of Narrative Review Articles (SANRA) guidelines, a search of PubMed, PsycINFO, Scopus, and Google Scholar was conducted to identify studies published from 2000–2026 examining DST, circadian rhythm disruption, neuropsychological outcomes, and chronic mental illness. Empirical, theoretical, and mechanistic studies were included to ensure comprehensive synthesis. Across conditions, DST, particularly spring forward transitions, is associated with increased sleep disturbance, impaired executive functioning, reduced attention and working memory, heightened emotional reactivity, increased depressive symptoms, elevated risk of manic episodes, and short-term increases in suicidality. Neurobiological mechanisms include altered melatonin secretion, cortisol dysregulation, Hypothalamus Pituitary Axis (HPA-axis) activation, and clock-gene desynchrony. DST may function as a modifiable negative environmental influence capable of affecting neuropsychological functioning in vulnerable populations. These findings underscore the need for clinical awareness, preventive strategies, and policy reconsiderations, including calls to eliminate seasonal time changes. Standardizing DST-related research outcomes and expanding longitudinal, multi-site studies will be essential for advancing this emerging field. Full article

Solar energy is emerging as a cornerstone of the global renewable energy transition, with projections indicating that photovoltaics (PV) could contribute up to 90% of electricity generation by 2050. However, environmental factors, particularly dust deposition, pose a significant challenge to the long-term performance and efficiency of PV systems. Dust accumulation varies widely across different geographic regions, influenced by climate, land use, humidity, and pollution. Arid and semi-arid areas experience the highest deposition rates, while tropical and temperate regions are affected by seasonal rainfall and urban pollutants. This review comprehensively examines the impact of dust on PV performance, highlighting factors such as surface roughness of PV module, panel tilt angle, seasonal variations, wind dynamics, and dust composition. Furthermore, the review assesses various dust mitigation strategies, including manual and water-based cleaning, robotic systems, hydrophobic coatings, and electrostatic methods. By synthesizing global studies and presenting a holistic view of dust effects, this paper provides critical insights into the impact of performance degradation with regional variation in PV, optimizing performance, maintenance, and effective dust mitigation strategies to ensure sustained energy yield and reliability in solar energy systems worldwide. Full article

Soils in cold seasonally frozen regions undergo repeated freeze–thaw (F–T) cycles, during which soil moisture content, pore structure, and permeability can change substantially. Previous studies have mainly focused on the mechanical behavior of such soils, whereas few have clarified how moisture content fluctuation regulates pore-structure evolution and permeability response during F–T cycling. In this study, black soil specimens were prepared with initial moisture contents of 15%, 20%, 25%, and 30% on a dry-weight basis and were denoted as 15%-MC, 20%-MC, 25%-MC, and 30%-MC, respectively. The specimens were subjected to 0, 1, 3, 6, 9, and 12 F–T cycles. Mercury intrusion porosimetry, scanning electron microscopy image analysis, and variable-head permeability tests were used to characterize pore-structure parameters and hydraulic responses. The results showed that porosity and mean pore diameter generally increased with increasing F–T cycle number, and the magnitude of these increases depended on the initial moisture content. The 15%-MC group exhibited limited pore expansion, mainly characterized by a transition from micropores to small pores, whereas the 25%-MC and 30%-MC groups developed more mesopores and macropores. In the 30%-MC group, porosity reached its maximum after 9 F–T cycles and then decreased slightly after 12 cycles, indicating particle rearrangement or partial filling of larger pores. The permeability coefficient and cumulative infiltration also increased with increasing F–T cycle number, with more pronounced increases observed in the high-moisture groups. Tukey’s post hoc test showed that the permeability coefficients in the later F–T stages were higher than those in the early stages, particularly in the 25%-MC and 30%-MC groups. Correlation analysis and principal component regression indicated that the permeability coefficient and cumulative infiltration were positively correlated with porosity, mean pore diameter, mesopores, and macropores, but negatively correlated with micropores. Overall, the initial moisture content regulated pore-size redistribution and seepage-channel development, thereby shaping the hydraulic response of black soil under repeated F–T cycling. Full article

Amid the global renewable energy transition and rural revitalization, efficient organic waste use is critical for circular economy and carbon neutrality—core pillars of global sustainability. This study addresses unrecovered biogas slurry waste heat and biomass boiler thermal instability in Lindian County’s agricultural waste project. Using a small-scale experiment with MATLABR2023a simulations, it analyzed key parameters’ influence on mesophilic dry anaerobic fermentation, validating waste heat recovery and heat source optimization—measures closely aligned with sustainability goals. A novel multi-energy system for biogas fermentation integrated solar, biomass, and carbonization furnace residual heat. Experiments and simulations assessed heat demand, heating allocation, and economic performance. Findings showed 17-fold peak–valley heat demand fluctuations with seasonal patterns; 200 MJ load increments captured system dynamics. The multi-energy system outperformed single-energy setups in investment and operational costs. Optimal cost-effectiveness came with a 50%, 35%, and 15% heat load distribution among the solar, charcoal furnace, and biomass subsystems, cutting operational expenses. Results provide a robust framework for optimized biogas project design, aiding cost reduction, competitiveness, and circular economy and supporting China’s energy transition, rural revitalization, and the achievement of the sustainable development goals. Full article