Search Results (1,494)

The prediction of shear strength in seasonally frozen silty clay is restricted by complex physical mechanisms and sparse experimental data. A self-supervised contrastive physics-informed neural network is proposed to overcome these limitations. Robust latent features are extracted from limited datasets via contrastive pretraining. Time-dependent constitutive equations and physical boundary conditions are simultaneously embedded into the loss function. This mathematical constraint ensures strict physical consistency during the modeling process. The proposed framework was validated using 100 independent laboratory samples prepared under controlled moisture content, freezing temperature, and thawing duration. The experimental results demonstrate the superior predictive accuracy of the proposed model. A coefficient of determination ($R^2$) of 0.988 was achieved on the test set, accompanied by minimized error metrics compared to conventional data-driven approaches. Consequently, a highly accurate and reliable methodology is established by this architecture for evaluating soil stability and supporting infrastructure design in cold regions. Full article

This study integrates conventional sediment geochemistry with explainable machine learning to investigate the provenance of surface sediments from Wular Lake, Kashmir Valley, NW Himalaya. Twenty-two samples were analysed for 49 geochemical variables (10 major oxides, 25 trace elements and 14 rare earth elements), complemented by XRD mineralogy, which reveals an assemblage dominated by quartz, muscovite/illite, chlorite and feldspar. The Chemical Index of Alteration (CIA = 68.5–75.1, mean 72.1), corroborated by CIW, PIA and the A–CN–K trend, indicates moderate weathering under a cold temperate climate, and the Index of Compositional Variability (ICV > 1), together with uniformly low Zr/Sc ratios (3.4–6.0), which preclude significant zircon addition through recycling, records compositionally immature, first-cycle detrital input. Conventional discrimination ratios and the Herron system classify the sediments as geochemically equivalent to shale, and elevated Fe₂O₃/K₂O (2.6–4.0), Al₂O₃/TiO₂ (12.6–16.0), Cr/Th and Co/Th ratios record a substantial mafic imprint. Chondrite-normalised REE patterns show pronounced LREE enrichment ((La/Yb)_N = 8.0–19.4), moderate negative Eu anomalies (Eu/Eu* = 0.56–0.73) and negligible Ce anomalies (Ce/Ce* = 0.98–1.03), with Eu/Eu* discriminating felsic crystalline from mafic volcanic contributions. A three-stage pipeline (principal component analysis (PCA) → random forest → SHapley Additive exPlanations (SHAP)) achieved a median leave-one-out cross-validation (LOO-CV) accuracy of 95.5% (n = 22; Wilson 95% CI 78%–99%), and unsupervised k-means clustering reproduced the same three geochemically distinct provenance end-members: siliceous-mature, detrital-mafic and carbonate-bearing, without reference to the assigned labels (Adjusted Rand Index = 1.0). Because the training labels derive from the same geochemical dataset, the classification quantifies the internal consistency of the provenance model, but does not provide independent validation. SHAP analysis reveals that trace elements (Cr, Co, Sc, Ni, Zn) carry greater discriminating power than do conventional major-oxide ratios, demonstrating that explainable machine learning robustly supplements and extends traditional provenance approaches. Full article

Power-to-Ammonia-to-Power (P2A2P) systems in hot-arid MENA climates reject waste heat through Recuperated Organic Rankine Cycles (RORCs) whose condensation temperature tracks ambient conditions across annual swings exceeding 35 K. Standard exergoenvironmental assessments evaluate priorities at a single dead-state temperature, an assumption this study terms the Static $T_0$ Fallacy. A four-way advanced exergy decomposition is combined with an off-design model (Stodola’s ellipse, constant-$UA$ scaling) to sweep the dead-state temperature from ${5 }^{\circ }$C to ${40 }^{\circ }$C. At $T_0={20 }^{\circ }$C, 95.8% of total exergy destruction is endogenous, confirming weak inter-component coupling. The condenser carries the largest avoidable environmental impact rate (4.02 mPts/h, 74% of the system total). At $T_0={37.4 }^{\circ }$C, the recuperator undergoes a priority inversion from destruction-dominated ($f_b=14.7\%$) to fully capital-dominated ($f_b=100\%$). Ammonia’s wet-fluid thermodynamic coupling eliminates the recuperator’s duty as the condensation temperature approaches the cold-side outlet constraint. The recuperator’s avoidable environmental impact rate drops by 100% relative to the standard assessment, while the condenser’s rises by 49%. This inversion mechanism is fluid-specific: the ammonia recuperator’s endogenous fraction reaches 99.5% at $T_0={20 }^{\circ }$C. The toluene recuperator, swept at its own independently optimised operating point, has an endogenous fraction between 59.08% and 82.31% over the same range. For P2A2P installations where the annual ambient swing exceeds 15 K, exergoenvironmental analysis should be performed at both design-season and summer-peak dead-state temperatures, with the summer-peak result governing capital allocation. Full article

Background: Wound infections are common sequelae of wound treatment in horses. Secondary bacterial colonization with antimicrobial resistant microorganisms is of particular concern and is of crucial importance regarding the “One Health Concept”. Due to frequent antimicrobial resistance (AMR), conventional treatments often involve determining resistance and sensitivity using time-consuming antibiograms. Infections with multi-resistant pathogens are especially challenging. This case series presents studies of four horses evaluating the efficacy of Cold Atmospheric Plasma-Aerosol (CAP-A) as a standalone treatment for equine wound infections. Methods: A sampling unit of horses aged 5 weeks to 11 years presented with various infected wounds which were treated with CAP-A. Treatment was administered once daily for up to two months; each session consisted of 2 × 3 min nebulization cycles. Following 10 days of treatment, methicillin-resistant Staphylococcus aureus (MRSA) was no longer culturally detectable, and advanced wound healing was observed. Microbiological samples were collected before and after the treatment period, and the antibiotic resistance of pathogens was determined. Photographs were used to document wound progression and healing process. Results: Antibiograms and microbiological examinations identified several multi-resistant bacteria in all horses. CAP-A treatment decreased microbial load of pathogenic flora and removed MRSA without the use of antibiotics. Conclusions: CAP-A therapy demonstrated promising results as a non-pharmacological treatment option for equine wound infections with multi-resistant bacteria such as MRSA and multi-resistant Gram-negative bacteria, achieving both clinical and microbiological improvement. Horses tolerated sessions without any signs of discomfort. Further research should be based on a clinical follow-up as part of a prospective study with a larger sample size and negative control to draw definite conclusions about the efficacy of the treatment. Full article

Perennial wild relatives of annual crops possess traits associated with stress tolerance, efficient nutrient uptake, and increased soil carbon sequestration. They therefore represent valuable genetic resources for developing perennial crops that may reduce environmental and climate impacts and enhance food security. We evaluated 151 introgression lines (ILs) derived from crosses between barley and the perennial relative Hordeum bulbosum, each carrying unique H. bulbosum chromosome segments in a barley genetic background. Growth and regrowth after harvest were evaluated in two field trials, established by spring and fall planting in separate years in central Sweden, and under simulated two-year seasonal cycles in a climate chamber. In the climate chamber, 54% of the ILs exhibited strong regrowth, and two-thirds of these ILs showed reproductive growth across two seasonal cycles. In the field, most ILs showed regrowth after harvest but did not survive the cold winter. The parental genetic background had a strong effect from the barley parent on several growth and reproductive traits, but some ILs exhibited phenotypes not expected based on the barley parent. Of the divergent ILs with high regrowth, identified by PCA combining all studied traits, H. bulbosum introgressions at chromosome arms 2HL and 4HL were highly represented among ILs with cultivar Emir as a barley parent, and introgressions at 1HL among ILs with cultivar Morex as a parent. Perennial growth was observed only under mild conditions, indicating that perenniality of these ILs in a cold-temperate climate requires not only regrowth capacity but also adaptation to photoperiod, vernalization, and frost. ILs with high regrowth and reproductive growth may be used in crossing efforts with cold-tolerant germplasm to support the development of perennial barley. Full article

The life cycle environmental impact of a thermoelectric cooling module operated under a reference condition is presented. Cradle-to-gate and cradle-to-grave system boundaries were considered to distinguish manufacturing from the use and end-of-life stages. A foreground life cycle inventory was developed for a commercial thermoelectric module, considering a functional unit of 1 $\mathrm{k}$$\mathrm{W}$$\mathrm{h}$ of useful cooling delivered on the cold side. Moreover, a sensitivity analysis addressing service life, electricity mix, bismuth economic allocation modelling, consideration of auxiliary electronics, and end-of-life scenarios was conducted. When expressed per functional unit, the results indicate that the environmental impacts of the thermoelectric cooling module are governed primarily by use-phase electricity demand, making lifetime and electricity mix decisive parameters in the cradle-to-grave approach. At the manufacturing level, the main cradle-to-gate burdens are related to semiconductor material production, alumina manufacturing, and auxiliary components. Overall, sustainable improvement of thermoelectric systems requires an integrated design strategy. Material substitution alone is insufficient unless it is combined with high thermoelectric efficiency, low-impact ceramic and metallisation processes, efficient auxiliary power conversion, robust thermal management, low-carbon electricity supply, and extended service life. Full article

Long-term atmospheric nitrogen (N) deposition can reshape forest soil N cycling, yet targeted evidence from functional gene bacterial communities remains particularly limited in cold-temperate coniferous forests. Here, we examined nifH- and nirK-harboring bacterial communities along a long-term simulated N-deposition gradient in a Larix gmelinii forest in the Greater Khingan Mountains, northeastern China. Four treatments had been applied since 2012: control (0 kg N ha⁻¹ yr⁻¹), low N (25 kg N ha⁻¹ yr⁻¹), medium N (50 kg N ha⁻¹ yr⁻¹), and high N (75 kg N ha⁻¹ yr⁻¹), with N supplied as NH₄NO₃. Soil inorganic N increased along the gradient; mean NO₃⁻-N increased from 4.9 mg kg⁻¹ fresh soil in the control to 8.1 mg kg⁻¹ under high N. The nifH community showed mainly richness-related and exploratory biomarker responses, with observed richness highest under low N and no significant OTU-level whole-community separation. The nirK community showed a stronger medium-N-associated pattern: observed richness increased from 241.3 OTUs in the control to 421.3 OTUs under medium N, and OTU-level community structure differed among treatments. Taxonomic and biomarker patterns were also centered on medium N, but interpretation was constrained by the high proportion of unclassified or uncultured nirK sequences. These results indicate that nifH- and nirK-harboring communities responded differently to long-term simulated N deposition, with the clearest response in the nirK marker-gene community under medium N. Because this study is based on functional gene amplicon profiles, the results should be interpreted as community-profile evidence rather than direct evidence of N fixation, complete denitrification, gene expression, or N gas fluxes. Full article

Reservoir stimulation is essential in enhanced geothermal systems and unconventional reservoirs where low permeability, inadequate fracture connectivity, or near-wellbore damage restricts commercial injection or production. This review evaluates hydraulic fracturing, thermal stimulation, plasma-pulse stimulation, and selected dynamic stimulation technologies. It compares their physical mechanisms, fracture-network development, reservoir applications, permeability enhancement, operational maturity, deployment challenges, and future perspectives. Hydraulic fracturing remains the most mature method for reservoir-scale fracture creation, fracture conductivity, and reservoir connectivity. In enhanced geothermal systems, however, performance depends on the heat-exchange area, distributed flow, thermal sweep, long-term energy recovery, and induced-seismicity control rather than permeability enhancement alone. Thermal stimulation is integral to geothermal reservoir development. Cold-fluid injection generates thermoelastic stress redistribution, enlarges the fracture aperture, activates natural fractures, promotes thermally assisted fracture propagation, and influences thermal breakthrough. Plasma-pulse stimulation, also termed pulsed-power plasma, electrohydraulic, or shock-wave stimulation, provides a low-water method for near-wellbore permeability enhancement, damage bypass, fracture reactivation, and restimulation. Its broader deployment remains constrained by the limited treatment radius, scale-up uncertainty, energy-transfer efficiency, tool durability, completion integrity, and insufficient field validation. Liquid CO₂ phase-transition, propellant, and explosive stimulation provide additional dynamic-loading options with distinct fracture responses, controllability, safety, and technology readiness. Stimulation technologies should therefore be selected according to the dominant reservoir limitation and evaluated using sustained injectivity or productivity, effective reservoir contact, distributed flow, delayed thermal breakthrough, treatment durability, wellbore integrity, and a controlled geomechanical response. Future progress requires hybrid stimulation, coupled thermal–hydraulic–mechanical–chemical (THMC) modeling, integrated monitoring, adaptive control, physics-informed artificial intelligence, digital twins, standardized field validation, and techno-economic and life-cycle assessments. Full article

Heavy-duty methanol engines are regarded as a promising low-carbon solution for commercial vehicle decarbonization, yet the comprehensive coupled characteristics of fuel consumption, multi-dimensional exhaust emissions, and the corresponding aftertreatment adaptability between stoichiometric and lean-burn technical routes remain insufficiently quantified, restricting the optimized application of methanol powertrains for China-VI emission compliance. To address this research gap, this study systematically investigates two China-VI compliant heavy-duty methanol engines with stoichiometric and lean-burn combustion strategies under cold-start and hot-start Worldwide Harmonized Transient Cycle. And a comparative analysis is conducted to clarify the differences in the fuel consumption, raw exhaust emission (including regulated pollutants, particulate matters, greenhouse gases, and unregulated pollutants), and the catalytic performance of aftertreatment systems between two engines with stoichiometric and lean-burn strategy. Results demonstrate that the lean-burn strategy achieves a 6% reduction in methanol fuel consumption compared with stoichiometric combustion, delivering superior fuel economy. In terms of regulated gaseous pollutants, both combustion strategies satisfy China-VI emission limits for CO and NO, while lean-burn combustion effectively lowers raw CO and NO emissions and reduces the purification pressure of aftertreatment systems. Non-methane Hydrocarbon emission under cold-start condition is identified as the primary compliance challenge, requiring a minimum aftertreatment conversion efficiency of 95%. Although lean-burn increases raw exhaust NMHC emission under hot-start condition, the post-catalyst emission could still meet the regulation limits. For particulate pollutants, lean-burn strategy realizes substantial reductions in both PM and PN emissions, which can meet emission standards without the corresponding aftertreatment system. In contrast, the stoichiometric combustion faces a risk of PN emission exceeding the regulation limit under cold-start conditions even with aftertreatment system. Additionally, lean-burn strategy optimizes greenhouse gas emission performance by cutting CO and CH₄ emissions. Regarding unregulated pollutants, lean-burn strategy increases raw exhaust unburned methanol and formaldehyde emissions, particularly under cold-start condition, but significantly inhibits NH₃ emission. This study quantitatively clarifies the performance trade-offs and adaptation advantages of lean-burn and stoichiometric strategy for heavy-duty methanol engines, providing fundamental data support and technical guidance for the low-carbon and low-pollution optimization of heavy-duty methanol vehicles. Full article

Heat pumps are core equipment for efficient low-grade thermal energy utilization and low-carbon transformation of the energy structure, offering significant energy-saving potential in building heating and industrial waste heat recovery. This paper reviews the research progress and technical challenges of compression, absorption, and adsorption heat pumps as well as nanofluid-enhanced heat transfer technology and elastocaloric heat pump systems. Air source heat pumps can delay frosting through variable frequency, heat storage, and waste heat recovery. However, accurate prediction models for performance degradation under extreme cold conditions are lacking. Although ground source and water source heat pumps exhibit significant energy efficiency advantages, ground source systems may suffer from performance degradation due to underground thermal imbalance. The application of water source systems is strictly constrained by water resource conditions. Driven by low-grade waste heat, absorption heat pumps employing traditional working pairs suffer from crystallization, corrosion, or high rectification energy consumption. The COP of a single-effect cycle under 80~100 °C waste heat is only 1.2~1.9, while hybrid cycles can reach approximately 3.2 at 120~150 °C. Although adsorption heat pumps achieve significantly improved performance under continuous heat recovery cycles, the full-scale power density of novel adsorbents such as metal–organic frameworks is inferior to the power density of traditional silica gel. Moreover, under off-design conditions, the performance drops by 23~48% compared to theoretical values. Nanofluids can enhance heat transfer, but the long-term effects of particle agglomeration at high temperatures on pump power consumption and system compatibility remain to be systematically evaluated. Elastocaloric heat pump systems can achieve refrigerant-free cooling, but current prototypes still cannot compete with traditional vapor compression systems in long-cycle fatigue reliability and power density. Current heat pump technologies generally face challenges such as insufficient adaptability to extreme conditions, bottlenecks in working fluids and materials, and a lack of long-term validation. Future research must construct a multi-source coupling optimization system, address common problems in working fluids and materials, promote long-term validation and kilowatt-level prototype demonstrations, and drive the large-scale deployment and engineering application of heat pump technology toward high efficiency, intelligence, and high reliability. Full article

A major challenge in the optimization of thermal performance of opaque envelope components is that the calculation workload of energy consumption simulations of full factorial combinations leads to a prohibitive increase as the factors and levels multiply. Nevertheless, a reliable method for designing calculation schemes to reduce the calculation workload without sacrificing the accuracy of the results is still lacking. Accordingly, a building energy consumption simulation scheme (BECSS) based on a uniform design method (UDM) was proposed, and its feasibility was verified. A multiobjective optimization model (MOM) with the life cycle cost (LCC) and life cycle carbon emission (LCCE) as optimization objectives was established, and it was solved using the non-dominated sorting genetic algorithm-II (NSGA-II). Furthermore, an entropy-based TOPSIS method was introduced to calculate the optimal insulation thickness (OIT) of opaque building envelopes in severe cold and cold zones. The proposed framework was demonstrated through a case study of a typical residential building in Xuzhou. Extruded polystyrene panels (XPS) were used as insulation materials, and coal-fired boiler (CFB), gas-fired boiler (GFB), and air source heat pump (ASHP) were used as heat sources. Compared with the results specified by the current energy conservation standards, the MOM could achieve a balance between energy savings and environmental benefits. The LCCs change by −3.16–11.34%; nevertheless, the thermal performance of the external wall improves by 42.32–49.31%, while that of the roof improves by 6.46–21.59%; the building energy consumption (BEC) levels and the LCCEs are reduced by 25.24–30.16% and 19.25–24.74%, respectively. The indicator weights determined via the entropy weight method underscore the necessity of incorporating environmental performance indicators in the optimization of thermal performance of opaque building envelope components. Full article

Solid-state hydrogen storage is considered a promising and environmentally friendly approach for energy storage. However, several challenges, including sluggish hydrogen absorption/desorption kinetics and high dehydrogenation temperatures, continue to limit the practical implementation of many hydrogen storage materials. This review summarizes recent advances in the application of severe plastic deformation techniques to improve the hydrogen storage performance of some of the most promising material systems, including TiFe-based intermetallic compounds, titanium alloys such as Ti–V-based alloys and Ti–Mg-based alloys, LaNi₅, niobium, palladium, high-entropy alloys, and magnesium and Mg-based materials. Processing routes such as high-pressure torsion, equal-channel angular pressing, fast forging, accumulative fold-forging, and intensive cold rolling have been widely employed to introduce lattice defects, promote grain refinement, and generate a high density of grain boundaries in bulk materials to enhance their hydrogen storage kinetics, activation and air resistance. In addition to enhancing hydrogen absorption and desorption kinetic properties, these techniques offer potential pathways for synthesis of hydrogen storage materials with suitable thermodynamics for hydrogen storage at room temperature. There are also attempts to scale up material production by these techniques. This review paper discusses how plastically deformed materials generally exhibit superior hydrogen storage performance and improved cycling stability compared with their undeformed counterparts. Full article

Bamboo shoots, as the most nutritionally valuable food source for giant pandas during key reproductive seasons, are critical for conservation because their availability and timing directly influence panda foraging and habitat use. However, the molecular mechanisms through which altitudinal temperature variation governs rhizome shooting in staple food bamboos remain largely unknown. Here, we performed integrated metabolomic and transcriptomic analyses of Fargesia rufa rhizomes collected along an elevational gradient (1000 m, 1500 m, and 2000 m), with a critical paired comparison at 2000 m between a non-shooting cold gully-edge site (16.4 °C) and a shooting warm gully-center site (21.1 °C), where soil temperature is elevated by approximately 4 °C due to prolonged solar exposure. Our results demonstrate that soil temperature, rather than elevation per se, acts as the primary driver of rhizome shooting, with an apparent threshold near 20 °C. A core shooting metabolome (CSM) comprising 843 metabolites was consistently accumulated across all shooting conditions, which featured gibberellin/auxin precursors, TCA cycle intermediates, and phenylpropanoid compounds. Correspondingly, a core shooting transcriptome (Rh_shooting) of 10,970 genes was identified, which resolved into three functionally distinct temporal clusters: “shooting-on” (activated upon threshold crossing, enriched in hormone signaling and cell wall metabolism), “temperature-dose” (progressively upregulated with rising temperature, enriched in energy metabolism and defense), and “microenvironment-enhanced” (specifically upregulated in the high-elevation warm gully, enriched in photosynthesis and antioxidant pathways). Integrative network analysis further revealed zeatin riboside and multiple hub genes as central coordinators linking hormone signaling, energy metabolism, and cell wall remodeling. Collectively, these findings establish a molecular framework linking altitudinal temperature variation to bamboo rhizome regeneration—a process that directly determines the spatiotemporal availability of bamboo shoots for giant pandas. This work provides mechanistic insights into giant panda foraging ecology and has direct implications for predicting habitat quality under climate change and informing evidence-based conservation strategies for this flagship species and its critical food resource. Full article

Camel milk (CM), which is produced by both Camelus dromedarius and Camelus bactrianus, is gaining increasing popularity as a value-added functional dairy product, but the science of managing its shelf life has progressed more slowly than its commercial expansion. Unlike bovine milk, CM lacks β-lactoglobulin (β-LG), has a unique casein (CN) micelle structure with a high β-CN-to-αs1-CN ratio, and low κ-CN protein content, and contains an unusually rich bioactive protein fraction including lactoferrin (LF), immunoglobulin G (IgG), lysozyme (LZ), and peptidoglycan recognition protein (PGRP). These compositional characteristics imbue CM with both significant inherent antimicrobial benefits and place it at risk of processing weaknesses that do not have direct analogs in bovine dairy science. The review discusses three key areas of CM shelf life science that have not been sufficiently addressed in the published literature. The first relates to physicochemical mechanisms of deterioration, including lipid oxidation of polyunsaturated fatty acids (PUFA), destabilization of CN micelles in the structural absence of β-LG, and Maillard browning during thermal treatment and storage of powder. The second addresses the fate of bioactive proteins, with the majority being lactoferrin (LF), immunoglobulin G (Igs), and heavy chain-only antibodies (HCAbs), under both thermal and non-thermal processing conditions. The third looks at new non-thermal preservation methods, such as high-pressure processing (HPP), pulsed electric field (PEF), ultrasonication, ultraviolet irradiation, cold plasma, and electromagnetic (EM) field treatment, and functional packaging innovations, which contribute to longer shelf life. Of the non-thermal options examined, HPP at 200–400 MPa today provides the most mechanistically proven evidence for camel-specific microbial deactivation with satisfactory quality preservation. The latest primary CM research also indicates that processing with EMs in the 850 mT range can potentially be as effective as conventional pasteurization in microbial control and may be more effective than pasteurization in retaining desirable bioactive markers, although this result needs to be independently replicated before more responsible conclusions can be drawn. The review ends with four priority research gaps: standardized kinetic shelf life modeling frameworks, systematic characterization of bioactive protein stability under commercial processing conditions, life cycle assessment of preservation chains across the camel dairy supply continuum, and the urgent validation of camel-specific pasteurization adequacy indicators to replace bovine alkaline phosphatase, which remains active in CM after conventional high-temperature short-time (HTST) pasteurization. Full article

Decarbonizing the energy sector is central to limiting global average temperature to below 2 °C above pre-industrial levels, in line with the Paris Agreement. Hydropower plays a key role in renewable energy generation, yet environmental impacts vary depending on systems and site conditions. Small hydropower (<10 MW installed capacity) is often assumed to have lower environmental impacts, but evidence remains limited, especially in cold-climate regions. This study assesses the cradle-to-gate life cycle environmental impacts of a 9.9 MW run-of-river hydropower plant in Iceland, using life cycle assessment based on the CML-IA method. The study uses primary design and operator data and provides direct comparison with published Icelandic large hydropower life cycle assessments. The functional unit is 1 kWh of electricity generated over a 60-year lifetime. Results indicate a global warming potential of 4 g CO₂ equivalent per kWh, decreasing to 3 g CO₂ under a 100-year lifetime. Hot spot analysis shows that construction materials, particularly glass fibre reinforced plastic (GRP), concrete, and steel, dominate environmental impacts. Sensitivity analysis shows the influence of lifetime, capacity factor, and dam material. Indicative reservoir emission estimates highlight additional potential impacts even for small intake reservoirs. Overall, the studied system shows higher life cycle impacts per kWh compared to Icelandic large hydropower plants, highlighting the importance of site-specific assessment and careful interpretation of small hydropower (SHP) environmental performance. Full article