Human cardiac organoids have revolutionized the study of cardiac development,disease modeling, drug discovery, and regenerative therapies. This review systematically discusses strategies and progress in the constructi...Human cardiac organoids have revolutionized the study of cardiac development,disease modeling, drug discovery, and regenerative therapies. This review systematically discusses strategies and progress in the construction of cardiac organoids, categorizing them into three main types:cardiac spheroids, self-organizing/assembloid organoids, and organoid-on-a-chip systems. This review uniquely integrates the advances in vascularization, organ-on-chip design, and environmental cardiotoxicity modeling within cardiac organoid platforms, offering a critical synthesis that is absent in the literature. In the context of escalating environmental threats to cardiovascular health, there is an urgent need for physiologically relevant models to accurately identify cardiac toxicants and elucidate their underlying mechanisms of action. This review highlights advances in cardiac organoid applications for disease modeling-including congenital heart defects and acquired cardiovascular diseases-drug development, toxicity screening, and the study of environmentally induced cardiovascular pathogenesis. In addition, it critically examines ongoing challenges and underscores opportunities brought by bioengineering approaches. Finally, we propose future directions for developing standardized cardiac organoid platforms with clinical predictability, aiming to expand the utility of this technology across broader research applications.展开更多
Europe is grappling with a colossal textile waste problem.Over 125 million tonnes of raw materials are devoured by the global industry each year,yet a mere fraction-less than 1%-of these fibres originate from recycled...Europe is grappling with a colossal textile waste problem.Over 125 million tonnes of raw materials are devoured by the global industry each year,yet a mere fraction-less than 1%-of these fibres originate from recycled textiles.The majority faces an unsustainable fate in landfills,incinerators,or is exported.A pivotal new report by Systemiq,"The Textile Recycling Breakthrough,"offers both a stark assessment and a strategic roadmap:Europe has the potential to amplify polyester textile recycling nearly tenfold by 2035,but this hinges on immediate,decisive action from policymakers and the industry.展开更多
Environment serves as the pivotal medium to produce fermented food,with fluctuations in environmental factors exerting a profound impact on the modulation of fermentation microbial communities.Such shifts are crucial ...Environment serves as the pivotal medium to produce fermented food,with fluctuations in environmental factors exerting a profound impact on the modulation of fermentation microbial communities.Such shifts are crucial for the distinctiveness of fermented food flavor and the variability in quality.Chinese liquor(Baijiu)is one of the typical representatives of spontaneous fermented food.In this review,the multifaceted relationship between regional environmental attributes and the fermentation dynamics of Baijiu was examined,with a spotlight on the strong-flavor,sauce-flavor,and light-flavor varieties.It reveals the influence of regional environmental factors and brewing environmental factors on microbial function and metabolism,which results in the formation of unique flavor characteristics of Baijiu.The 9 main factors affecting the microecology of Baijiu fermentation were further explored,including environmental sensitivity,microbial interactions,biogeographic patterns,and key abiotic factors such as temperature and humidity.Environmental factor management is crucial for controlling microbial community in fermentation.Intelligent detection of the fermentation system is combined with artificial intelligence to realize the digitalization of Baijiu fermentation,with a view to further studying the environmental mechanism or quantitative control relationship of natural fermentation,improving the environmental stability of natural fermentation,and promoting the mechanization and intelligence of fermentation production.展开更多
The construction sector is facing significant challenges in transitioning to a defossilised system.While wood-based products have considerable potential,reliance on adhesives derived from fossil fuels poses significan...The construction sector is facing significant challenges in transitioning to a defossilised system.While wood-based products have considerable potential,reliance on adhesives derived from fossil fuels poses significant sustainability concerns.Tannin-based adhesives present a compelling bio-based alternative,offering advantageous bonding properties with the potential to reduce toxicity,minimise fossil resource use,and enhance end-of-life scenarios.Despite extensive research demonstrating the technical potential of tannin-based adhesives,industrial adoption remains limited—partly due to the paucity of studies addressing their environmental impacts.The present study investigates the use of tannin-based adhesives in the production of interior-grade plywood,employing urea-formaldehyde(UF)adhesive as reference.The evaluated formulations incorporate quebracho tannin with hexamine or novel protein-containing ingredients,namely soy protein isolate,soy flour,and tara germ powder.Technical tests assessed bonding quality,bending strength,and modulus of elasticity in five-layer plywood.A cradle-to-grave life cycle assessment(LCA)was conducted,with the novelty of using plywood as the functional unit.One formulation,combining tannin and hexamine,exhibited performance comparable to UF-bonded plywood,meeting EN 310 and EN 314 Class 1 standards.Environmental benefits were notable,with carcinogenic human toxicity reduced by 47%,even without accounting for formaldehyde emissions during the use stage.Fossil resource depletion decreased by up to 13%,and global warming potential from fossil sources fell by 10%,in accordance with EN 15804:2012+A2:2019.These findings provide a foundation for further optimisation,broader application in wood-based panels,and enhanced sustainability in construction.展开更多
The environment and its preservation are becoming more and more dependent on ecological development in an age of accelerating climate risk,biodiversity loss,and pressures of pollution.This review summarizes the fronti...The environment and its preservation are becoming more and more dependent on ecological development in an age of accelerating climate risk,biodiversity loss,and pressures of pollution.This review summarizes the frontiers of innovation that are capable of enhancing integration of human development and ecological integrity,and how the interaction between technical,ecological,and institutional innovations can produce real-world results.We initially discuss developing ecological innovations that offer new opportunities to urban development,such as low-impact cities,ecological infrastructure,clean energy transitions,and biodiversity-informed siting,and digital decision-support systems enhancing planning and resource efficiency.Then,we evaluate progress in the field of preservation and restoration,with a particular focus on nature-based solutions,a process-based approach to restoration science,connectivity conservation,and a watershed-scale and seascape-scale approach to restore resilience and help recover biodiversity.In these spheres,we discover measurement,monitoring,and verification(MRV),one of the main pillars of scale alongside remote sensing,automated field monitoring,environmental Deoxyribonucleic Acid(DNA),and Artificial Intelligence(AI)-enabled analytics,increasing the range of trackable and manageable indices as well as creating new issues with baselines,uncertainty,and data ethics.Lastly,we compare governance,finance,and equity as key conversion processes that can turn innovations into sustainable dividends with authenticity principles,however,of additionality,permanence,and leakage avoidance,and with rightsbased and redistributive mechanisms and approaches that reinforce legitimacy.We end by providing a portfolio roadmap of prioritization of the interventions that have high co-benefits and the identification of critical research and institutional gaps to provide net-positive ecological results.展开更多
Anammox bacteria in constructed wetlands(CWs)play pivotal role in sustainable nitrogen transformation,yet existing studies lack comprehensive analysis of environmental gradients and microbial interactions,both key fac...Anammox bacteria in constructed wetlands(CWs)play pivotal role in sustainable nitrogen transformation,yet existing studies lack comprehensive analysis of environmental gradients and microbial interactions,both key factors in anammox bacteria enrichment.This study investigated the mechanisms driving anammox bacteria enrichment in lab-scale simulated CWs treating high-nitrogen wastewater,focusing on bacterial community re-sponses across wetland layers with various strategies,including continuous up-flow influent,nitrogen loading increase,effluent recirculation,intermittent influent,and anammox bacteria inoculation.Results showed that total relative and absolute abundances of anammox bacteria ranged from 0.77%to 12.50%and from 0.13 to 6.46×10^(7) copies/g,respectively.Dissolved oxygen and pH had significant positive correlations with the absolute abundance of anammox bacteria,while organic matter and nitrate negatively impacted their relative abundance.Permutational multivariate analysis of variance indicated that spatial heterogeneity explained more variation in anammox bacteria abundance(43.44%)compared to operational strategies(8.58%).In terms of microbial interactions,60 dominant species exhibited potential correlations with anammox bacteria,comprising 170 interactions(105 positive and 65 negative),which suggested that anammox bacteria generally foster cooperative relationships with dominant bacteria.Notably,significant interspecies interactions were observed between Candidatus Kuenenia(dominant anammox bacteria in CWs)and species within the genera Chitinivibrio-nia and Anaerolineaceae,suggesting that microbial interactions primarily manifest as indirect facilitative effects rather than direct mutualistic relationships.Given that the Normalized Stochasticity Ratio in CWs were<50%,this study inferred that environmental gradients have greater influence on anammox bacteria than microbial interactions.展开更多
This paper takes the water body of Daliao River-Liaodong Bay as the research object,divides it into three regions:river,estuary,and offshore,and analyzes the changes of antibiotics and antibiotic resistance genes(ARGs...This paper takes the water body of Daliao River-Liaodong Bay as the research object,divides it into three regions:river,estuary,and offshore,and analyzes the changes of antibiotics and antibiotic resistance genes(ARGs)from inland rivers to the sea and the environmental impact factors from this perspective.The results showed that in general,the pollution of antibiotics and ARGs in Daliao River-Liaodong Bay belonged to the medium-low level,and levels of antibiotics and ARGs were nd–106.23 ng/L and nd–1.95×10^(8)copies/L,respectively.The concentrations and types of antibiotics and ARGs decreased from inland to sea regions.Analysis of the distributional characteristics of antibiotics and ARGs from a regionalized perspective revealed significant differences among the three regions in sulfonamide antibiotics,tetracycline antibiotics,and dominant ARGs.Sulfonamide antibiotic levels were significantly higher in the estuarine zone than in the riverine and offshore zones;tetracycline antibiotic levels were significantly higher in the riverine and estuarine zones than in the offshore zone.Aminoglycosides were dominant in the riverine and estuarine zones,and macrolides were dominant in the offshore zone.We characterized the effects of environmental factors on the assignment of antibiotics and ARGs and found that overall temperature contributed the most to variation in antibiotics and ARGs;the contribution of dissolved oxygen was the lowest.The estuarine zone was most affected by these factors,followed by the offshore zone and finally the riverine zone.展开更多
The high-temperature interaction of nanostructured Lu_(2)Si_(2)O_(7) environmental barrier coatings(EBCs)with calcium-magnesium-aluminosilicate(CMAS)was investigated at 1400℃ for 1,10,25,and 50 h to evaluate the coat...The high-temperature interaction of nanostructured Lu_(2)Si_(2)O_(7) environmental barrier coatings(EBCs)with calcium-magnesium-aluminosilicate(CMAS)was investigated at 1400℃ for 1,10,25,and 50 h to evaluate the coating’s resistance to CMAS corrosion.The results indicate a phase transformation over time,transitioning from Ca_(2)Lu_(8)(SiO_(4))6O_(2) apatite and Lu_(2)Si_(2)O_(7) to solely Lu_(2)Si_(2)O_(7).The interaction of the Lu_(2)Si_(2)O_(7) coating with the CMAS melts was divided into three stages based on the corrosion reaction behavior.The delamination cracks were distributed throughout the interface between the Si bond layer and Lu_(2)Si_(2)O_(7) layer after corroded at 1400℃ for 50 h,signifying coating failure.In addition,the influence of monosilicates,disilicates,and corrosion duration on the recession layer thickness was analyzed by comparing previous reports on RE_(2)SiO_(5)/RE_(2)Si_(2)O_(7) coatings(RE=Gd,Yb,Lu,Er).Furthermore,the variation in the thermally grown oxide layer thickness in CMAS-corroded Lu_(2)Si_(2)O_(7) coatings was systematically investigated.展开更多
Water resources health diagnosis is increasingly recognized as a critical tool.It should not only guide the preservation of water volume,quality,and ecological integrity but also assess the viability of carbon-neutral...Water resources health diagnosis is increasingly recognized as a critical tool.It should not only guide the preservation of water volume,quality,and ecological integrity but also assess the viability of carbon-neutral development pathways.But current research tends to consider water health assessment and carbon-neutrality planning as separate endeavors,which results in imprecise boundaries,disjointed metrics,and a weak linkage between diagnostic outcomes and testable management actions.This review brings together indicator systems,diagnostic systems,and environmental management systems architectures that make it possible to have integrated water-carbon governance.We define fundamental concepts and delimiting decisions followed by the examination of indicator designs across the hydrological regime,water quality,ecological integrity,service performance,resilience,and carbon-related measures,including intensity of energy/emissions,emissions caused by the watershed process of wastewater treatment,as well as the potential sink of the watershed.We compare diagnostic methods,such as composite indices and multi-criteria decision analysis,data-driven early-warning models,process-based and integrated simulations,as well as uncertainty-aware robustness models.Here,based on this synthesis,we suggest an environmental management systems(EMS)-based pathway,which connects the setting of the baseline,the diagnosis,the design of the intervention portfolio,and the measurement-reporting-verification into the closed-loop adaptive cycle.Digital enablement,comprising Internet of Things(IoT)monitoring,remote sensing,data fusion,optimization,and digital twins,is considered a viable way of scaling implementation,subject to interoperability,validation,and model governance.Among the major gaps,there are causal attribution to outcomes,cross-scale coupling of facility emissions and basin health,propagation of uncertainty in a coupled model,and credible Measurement,Reporting,and Verification(MRV)of non-CO_(2) gases and nature-based removals.The review gives a roadmap to normalize core metrics and fast-deployable systems to protect the health of the water resources and give verifiable progress towards carbon neutrality.展开更多
Climate change,natural disasters,pollution,and fast urbanization have made environmental security a more serious international issue.Timely,accurate,and multi-dimensional information is essential in the effective moni...Climate change,natural disasters,pollution,and fast urbanization have made environmental security a more serious international issue.Timely,accurate,and multi-dimensional information is essential in the effective monitoring and management of such complex challenges in the environment.The Earth Observation(EO)systems,including optical sensors,radar sensors,Light Detection and Ranging(LiDAR)sensors,thermal sensors,Unmanned Aerial Vehicle(UAV)sensors,and in-situ sensors,offer a good coverage of space and time,as well as provide useful information on land,water,and atmospheric processes.But the shortcomings or weaknesses of individual sensors,such as their vulnerability to weather conditions,spectral or spatial resolution,and gaps in time,can tend to limit their ability to provide a complete picture of the environment.One of the solutions has been multi-sensor fusion,which combines heterogeneous data and makes it more accurate,robust,and interpretable.This systematic review analyzes the latest methods of multi-sensor fusion,which are machine learning,deep learning,probabilistic models,and hybrid approaches,in terms of methodological principles,preprocessing needs,and computational frameworks.Applications in environmental security are highlighted,which include monitoring natural disasters,monitoring of climate and ecosystem,pollution monitoring,monitoring of land use change,and early warning systems.The review also covers evaluation measures,validation plans,and uncertainty measures,where a strict measure of evaluation is vital to making actionable decisions.Lastly,emerging issues,e.g.,data heterogeneity,computational needs,sensor interoperability,and prospects in the future,e.g.,AI-based adaptive fusion,UAVs and Internet of Things(IoT)integration,and scalable cloud-based systems,are discussed.The synthesis has highlighted the transformational capability of multi-sensor EO in terms of improving the environment in the context of environmental security and sustainable management.展开更多
Environmental DNA(eDNA)technology has revolutionized biodiversity monitoring with its non-invasive,sensitive,and cost-efficient approach.This paper systematically reviews eDNA advancements,examining its applications i...Environmental DNA(eDNA)technology has revolutionized biodiversity monitoring with its non-invasive,sensitive,and cost-efficient approach.This paper systematically reviews eDNA advancements,examining its applications in aquatic and terrestrial ecosystems and assessing China’s standardization progress.It delineates four developmental phases from single-species detection to high-throughput sequencing,and highlights China’s contribution to the development of technical standards.While significant progress has been made,challenges persist in quantitative accuracy,methodological consistency,and large-scale implementation.Future efforts should prioritize enhanced standardization,improved quantification techniques,broader applications,and international collaboration to drive innovation in eDNA technology.展开更多
Global environmental changes including climate warming,extreme weather events,ambient air pollution,freshwater contamination,and landscape transformation are reshaping the epidemiology of infectious diseases with unpr...Global environmental changes including climate warming,extreme weather events,ambient air pollution,freshwater contamination,and landscape transformation are reshaping the epidemiology of infectious diseases with unprecedented complexity,particularly in the post-COVID-19 era.This review synthesizes evidence from the past decade(2015-2024)to systematically elucidate how key environmental drivers modulate pathogen emergence,transmission dynamics,and clinical outcomes,with a focus on underlying mechanistic pathways.Specifically,we highlight:(1)the temperature-and precipitation-dependent transmission of vector-borne diseases(e.g.,malaria,dengue)via expanded vector habitats and accelerated pathogen incubation;(2)the exacerbation of respiratory infections(including COVID-19)by particulate matter(PM2.5)and nitrogen dioxide(NO2)through impaired mucosal immunity and enhanced inflammatory responses;(3)the persistence of diarrheal diseases in low-and middle-income countries(LMICs)linked to water insecurity and climate-induced infrastructure failure;and(4)zoonotic spillover risks amplified by urbanization and deforestation-driven human-wildlife interface disruption.Integrating the One Health socioecological framework,we further summarize methodological advances from high-resolution genomic surveillance to climate-informed machine learning models that have improved causal inference and predictive accuracy.Our synthesis confirms that environmental factors are not merely contextual but central,modifiable determinants of infectious disease risk,with disproportionate impacts on vulnerable populations.To mitigate future threats,we emphasize the urgency of interdisciplinary collaboration,integrated environmental-health monitoring platforms,and climate-resilient public health policies tailored to post-pandemic challenges.This review provides a timely roadmap for translating environmental epidemiology insights into actionable strategies to strengthen global health resilience.展开更多
The informatization of the grid,i.e.,the incorporation of sensing,communications,data platforms,analytics,and automation in the running of power systems,has turned out to be a vital facilitator of environmental mitiga...The informatization of the grid,i.e.,the incorporation of sensing,communications,data platforms,analytics,and automation in the running of power systems,has turned out to be a vital facilitator of environmental mitigation as power systems increasingly take up larger proportions of variable renewables,distributed energy resources(DERs),and electrified end uses.The review summarizes the worldwide evidence related to the ability of informatization-based smart grid applications to lower the environmental impact in six pathways,namely efficiency improvement,flexibility activation,renewable integration,DER coordination,electrification management,and resilience enhancement.Across regions,the most consistently reported benefits arise from reducing waste and improving operational control,including loss reduction,volt/VAR optimization,conservation voltage reduction,and distribution automation,particularly in systems with high baseline losses or frequent outages.Demand response,dynamic pricing,and managed electric vehicle(EV)charging can further lower emissions when they displace high-emitting marginal generation or align consumption with time-varying low-carbon supply;however,outcomes are highly sensitive to marginal emissions profiles and accounting methods.In highrenewable systems,forecasting,congestion management,and curtailment reduction emerge as high-leverage mechanisms,while distributed energy resource management systems/virtual power plant(DERMS/VPP)-enabled coordination can expand hosting capacity and substitute distributed flexibility for carbon-intensive balancing,contingent on interoperability and constraint-aware control.The review also highlights trade-offs that shape net benefits,including embodied impacts and e-waste from digital hardware,information and communication technologies(ICT)energy use,rebound and equity effects,and cyber-physical risks.We conclude with governance and research priorities for verifiable,secure,and lifecyclesustainable informatization.展开更多
Compared with traditional energy sources,wind power has a lower environmental impact.However,emissions are still generated across the life cycle of wind turbines,from production to recycling.As wind power rapidly deve...Compared with traditional energy sources,wind power has a lower environmental impact.However,emissions are still generated across the life cycle of wind turbines,from production to recycling.As wind power rapidly develops and deployment increases,these impacts are becoming increasingly evident.A comprehensive understanding of these impacts is crucial for sustainable development.Based on the harmonization of previous detailed life cycle assessment(LCA)studies,this study develops a simplified LCA model that estimates the life cycle environmental impacts of wind turbines based on their nominal power.Using this simplified LCA model,we assess the global warming potential(GWP),acidification potential(AP),and cumulative energy demand(CED)of wind power at the regional scale for 2022 and under three future scenarios(high-power wind turbine promotion,reduced wind curtailment,and a comprehensive development scenario).The results indicate that in 2022,the life cycle GWP,AP,and CED of wind power in western China were 10.76 g CO_(2) eq/kWh,0.177 g SO_(2) eq/kWh,and 17.6 kJ/kWh,respectively.Scenario simulations suggest that reducing wind curtailment is the most effective approach for reducing emissions in Inner Mongolia,Gansu,Qinghai,Ningxia,and Xinjiang,producing average decreases of 8.64%in GWP,8.39%in AP,and 9.26%in CED.In contrast,for Guangxi,Chongqing,Sichuan,Guizhou,Yunnan,Xizang,and Shaanxi,the promotion of high-power wind turbines provides greater environmental benefits than reducing curtailment,producing average decreases of 3.45%,3.09%,and 4.29%in GWP,AP,and CED,respectively.These findings help clarify the environmental impact of wind power across its life cycle at the regional scale and provide theoretical references for the direction of future wind power development and the formulation of related policies.展开更多
Oil and gas pipelines are a vital long-distance liquid and natural gas carrier,but their functionality is being assessed from a two-fold perspective of power economy and environmentalism.This review concurs on the way...Oil and gas pipelines are a vital long-distance liquid and natural gas carrier,but their functionality is being assessed from a two-fold perspective of power economy and environmentalism.This review concurs on the way these outcomes are interdependent throughout the pipeline lifecycle by contending that the efficiency,emissions,reliability,and environmental risk are jointly determined through the shared design decisions,operating plans,integrity platforms,and monitoring and response plans.Our initial conceptualization is pipeline systems and performance measures,which are characterized by boundary and comparability issues of particular energy consumption,methane intensity,and release consequence measures.Next,we look at hydraulic and station optimization,focusing on the need to look at the importance of equipment performance at part loads,constraints consciousness dispatch,and transient management to prevent the erosion of integrity levels by efficiency gains.The integrity management is appraised as one of the key enablers of stewardship that connects the corrosion prevention,in-line inspection and verification,and the risk-based mitigation to less likely failure,less disruptive interventions,and reduced emissions during maintenance.We compare the leak and spill prevention,detection,quantification,and response of the SCADA(supervisory control and data acquisition)-based computational monitoring,distributed sensing,as well as aerial/satellite,focusing on the validation,characterization of uncertainty,and the operational parameters modulating the time-to-detect and isolation performance.Environmental impacts of the lifecycle,not related to releases,are explained,such as routing and construction disturbance,management of right-of-way,station externalities,decommissioning,and climate resilience.Lastly,we assess new technologies,such as continuous monitoring networks,electrification,superior materials,and multi-objective decision-making that collaborates to increase energy,reliability,and environmental performance in heterogeneous pipeline networks.展开更多
Indeed,a range of systems in the environment requires timely,spatially explicit,and credible information to support its environmental decision-making,but no one observing system can give the complete and reliable meas...Indeed,a range of systems in the environment requires timely,spatially explicit,and credible information to support its environmental decision-making,but no one observing system can give the complete and reliable measures of the Earth system across scales.This review summarizes how the realization of the Compute the Planet is underway in the form of machine learning,remote sensing,and sensor data fusion to generate decision-ready environmental insights.We use the application-first approach,which considers remote sensing,in situ and Internet of Things(IoT)sensing,and physics-based models as complementary streams of evidence with similar strengths and failures.We look critically at how an integrated system can convert heterogeneous observations to action products across three high impact application areas:atmosphere and air quality,water–land–ecosystem dynamics,and hazards.Rapid-response situational awareness,ecosystem condition metrics,drought and flood indicators,exposure maps,and hazard/extreme indicators are key products.The integrated systems to environment interface in three high impact application areas:atmosphere and air quality,water-land-ecosystem dynamics,and hazard Examine Our operational requirements can often determine real-life value such as latency,time stability,smooth degradation in the presence of missing or degraded inputs,and calibrated uncertainty usable in thresholdbased decisions.These pitfalls are common across fields:mismatch in the scale between a point sensor and a gridded product,objectives on proxies in remotely sensed measurements,domain shift in the extremes and changing baselines,and evaluation aspects,which overestimate generalization because of spatiotemporal autocorrelation.Based on these lessons,we present cross-domain proposals for strong validation,uncertainty quantification,provenance,and versioning,as well as fair performance evaluation.We conclude that the next era of environmental intelligence will see a reduction in average accuracy improvement and an increase in terms of robustness,transparency,and operational responsibility,thus allowing the integrated environmental intelligence system to be deployed,which may be relied on to monitor human health,resource allocation,and survival in a more climate-adapted world.展开更多
Immobilized microalgae technologies(IMTs)involve the fixing of free-living microalgae onto specialized carriers through physical adsorption,chemical cross-linking,or biological interactions to enhance cell retention,m...Immobilized microalgae technologies(IMTs)involve the fixing of free-living microalgae onto specialized carriers through physical adsorption,chemical cross-linking,or biological interactions to enhance cell retention,metabolic stability,and stress resistance.These have emerged as multifunctional and sustainable platforms for environmental remediation,extending their applications beyond wastewater treatment to include soil and air purification.This review categorizes advanced IMT carriers into three major types:(1)inorganic engineered materials(e.g.,biochar-nanoparticle hybrids),(2)functionalized organic polymers(e.g.,pH-responsive hydrogels),and(3)bio-derived scaffolds(e.g.,fungal-algal and algal-bacterial consortia).They enhance microalgal retention,metabolic activity,and microalgal stress resistance,enabling the effective removal of nitrogen,phosphorus,heavy metals,organic pollutants,and airborne particulates across diverse environmental matrices.We highlight key cooperative mechanisms—such as extracellular polymeric substance(EPS)-mediated adhesion,quorum sensing,and metabolic synergy—that underpin pollutant removal and biomass stability.Particular emphasis is placed on integrating smart technologies,including magnetic microrobots,3D/4D-printed scaffolds,and AI-guided optimization,which improve the scalability,adaptability,and environmental responsiveness of IMT systems.By synthesizing the advances in materials science,microbial ecology,and environmental engineering,this review defines the future direction of research into IMTs as a next-generation bioengineering strategy for the integrated management of water,soil,and air pollution.展开更多
Background:Exposure to environmental vulnerability poses significant threats to adolescent suicidal ideation,while individual resilience can mitigate these adverse effects with notable gender commonalities and differe...Background:Exposure to environmental vulnerability poses significant threats to adolescent suicidal ideation,while individual resilience can mitigate these adverse effects with notable gender commonalities and differences.However,research examining how these factors co-configure at the individual level remains limited,particularly from a gender-specific perspective.Thus,the present study aims to adopt a person-centered analytic approach to identify gender-specific configurations of environmental vulnerability and individual resilience associated with suicidal ideation among Chinese adolescents.Methods:Data were collected from 2616 Chinese primary and secondary school students(aged 10–17;1223 girls).Participants completed validated scales measuring environmental vulnerability,individual resilience,and suicidal ideation.Latent profile analysis(LPA)was conducted separately by gender.Results:Gender differences were prominent:males exhibited higher resilience and lower suicidal ideation,while females reported higher environmental vulnerability and elevated levels of suicidal ideation.LPA identified three distinct profiles for males:Low Vulnerable–High Protective–Low Risk(LHL),Medium Vulnerable–Low Protective–Low Risk(MLL),and High Vulnerable–Low Protective–High Risk(HLH).Four profiles emerged for females:LHL,MLL,Medium Vulnerable–Low Protective–Medium Risk(MLM),and HLH.Crucially,within the HLH profile,males exhibited particularly deficient humor(η^(2)=0.19)and confidence(η^(2)=0.16),while females formed a distinct subgroup characterized by severe academic and family stressors(η^(2)=0.30–0.36).Conclusion:The study underscores developing gender-specific mental health interventions using a nuanced,person-centered approach that considers both environmental risk and individual resilience factors,which allows for targeted suicide prevention strategies addressing the unique needs of male and female adolescents.展开更多
The intelligent environmental sensing systems are quickly transforming the sparse and retrospective monitoring to dense and decision-oriented environmental intelligence.This review brings together the manner in which ...The intelligent environmental sensing systems are quickly transforming the sparse and retrospective monitoring to dense and decision-oriented environmental intelligence.This review brings together the manner in which integration of Internet of Things(IoT)sensing,edge computing,and real-time analytics facilitates timely detection,interpretation,and prediction of the environmental conditions across the applications,such as urban air quality,watershed and coastal surveillance,industrial safety,agriculture,and disaster response.We define end-to-end architectural patterns to organize devices,edge nodes,and cloud services to satisfy latency,reliability,bandwidth,and governance constraints with emphasis on event-time processing,adaptive offloading,and hierarchical aggregation.Then we look at sensing and infrastructure foundations,emphasizing the effects of sensor modality and power autonomy,connectivity,and the practices of calibration on the practicable analytics and eventual plausibility.It is on this basis that we examine real-time analytics pipelines and Artificial Intelligence(AI)techniques to preprocess,sensor combine,anomaly detect,and short-horizon forecast,with a focus on edge-deployable models,quantification of uncertainties,and query resistance to drift and domain shift.Lastly,we address the realities of deployment that condition operational success,such as lifecycle engineering,provenance-aware data management,security and privacy risks,ethical governance,and evaluation methodologies,which place end-to-end latency and field generalization as a priority.This review offers cohesion to algorithmic capabilities and systems engineering and governance to define an overall framework,show open areas of research directions,and provide practical recommendations on how to design trustworthy,scalable,and sustainable environmental monitoring systems.展开更多
Despite the widespread presence and frequent detection of polycyclic aromatic hydrocarbons(PAHs)in various aspects of life,there is limited research on their exposure levels in pregnant women and cumulative exposure f...Despite the widespread presence and frequent detection of polycyclic aromatic hydrocarbons(PAHs)in various aspects of life,there is limited research on their exposure levels in pregnant women and cumulative exposure from the living environment.This study included 1311 women in late pregnancy from the Zunyi birth cohort and measured the urinary concentrations of 10 hydroxylated PAH metabolites(OH-PAHs).Risk assessment was conducted based on the estimated daily intake to calculate the hazard quotient and hazard index(HI).A linear regression model was used to analyze the relationship between creatinine-adjusted OH-PAHs concentrations and living environment and lifestyle factors,while principal component analysis was applied to trace the sources of PAHs exposure.1-OHPYR was detected in all participants’urine,with naphthalene metabolites having the highest concentrations among creatinine-adjusted PAHs.OH-PAHs concentrations were associated with housing type,room number,cooking frequency,household size,exercise frequency,fuel type,distance from main road,and drinking water source.Pregnant women using traditional fuels and living in bungalows had higher health risks than those using clean energy and living in buildings.Those living within 100 m of a main road had higher HI than those farther away.Coal combustion was identified as the primary source of PAHs exposure.The study emphasizes the importance of reducing PAHs exposure,especially for pregnant women living in polluted environments.It recommends public health interventions such as improving indoor ventilation and providing clean energy to reduce related health risks.展开更多
基金supported by the Innovation Promotion Program of NHC and Shanghai Key Labs,SIBPT(grant number PT2025-01)。
文摘Human cardiac organoids have revolutionized the study of cardiac development,disease modeling, drug discovery, and regenerative therapies. This review systematically discusses strategies and progress in the construction of cardiac organoids, categorizing them into three main types:cardiac spheroids, self-organizing/assembloid organoids, and organoid-on-a-chip systems. This review uniquely integrates the advances in vascularization, organ-on-chip design, and environmental cardiotoxicity modeling within cardiac organoid platforms, offering a critical synthesis that is absent in the literature. In the context of escalating environmental threats to cardiovascular health, there is an urgent need for physiologically relevant models to accurately identify cardiac toxicants and elucidate their underlying mechanisms of action. This review highlights advances in cardiac organoid applications for disease modeling-including congenital heart defects and acquired cardiovascular diseases-drug development, toxicity screening, and the study of environmentally induced cardiovascular pathogenesis. In addition, it critically examines ongoing challenges and underscores opportunities brought by bioengineering approaches. Finally, we propose future directions for developing standardized cardiac organoid platforms with clinical predictability, aiming to expand the utility of this technology across broader research applications.
文摘Europe is grappling with a colossal textile waste problem.Over 125 million tonnes of raw materials are devoured by the global industry each year,yet a mere fraction-less than 1%-of these fibres originate from recycled textiles.The majority faces an unsustainable fate in landfills,incinerators,or is exported.A pivotal new report by Systemiq,"The Textile Recycling Breakthrough,"offers both a stark assessment and a strategic roadmap:Europe has the potential to amplify polyester textile recycling nearly tenfold by 2035,but this hinges on immediate,decisive action from policymakers and the industry.
基金financially supported by the National Natural Science Foundation of China(22138004)National Treasure Ecological Research Synergetic Innovation Center.
文摘Environment serves as the pivotal medium to produce fermented food,with fluctuations in environmental factors exerting a profound impact on the modulation of fermentation microbial communities.Such shifts are crucial for the distinctiveness of fermented food flavor and the variability in quality.Chinese liquor(Baijiu)is one of the typical representatives of spontaneous fermented food.In this review,the multifaceted relationship between regional environmental attributes and the fermentation dynamics of Baijiu was examined,with a spotlight on the strong-flavor,sauce-flavor,and light-flavor varieties.It reveals the influence of regional environmental factors and brewing environmental factors on microbial function and metabolism,which results in the formation of unique flavor characteristics of Baijiu.The 9 main factors affecting the microecology of Baijiu fermentation were further explored,including environmental sensitivity,microbial interactions,biogeographic patterns,and key abiotic factors such as temperature and humidity.Environmental factor management is crucial for controlling microbial community in fermentation.Intelligent detection of the fermentation system is combined with artificial intelligence to realize the digitalization of Baijiu fermentation,with a view to further studying the environmental mechanism or quantitative control relationship of natural fermentation,improving the environmental stability of natural fermentation,and promoting the mechanization and intelligence of fermentation production.
文摘The construction sector is facing significant challenges in transitioning to a defossilised system.While wood-based products have considerable potential,reliance on adhesives derived from fossil fuels poses significant sustainability concerns.Tannin-based adhesives present a compelling bio-based alternative,offering advantageous bonding properties with the potential to reduce toxicity,minimise fossil resource use,and enhance end-of-life scenarios.Despite extensive research demonstrating the technical potential of tannin-based adhesives,industrial adoption remains limited—partly due to the paucity of studies addressing their environmental impacts.The present study investigates the use of tannin-based adhesives in the production of interior-grade plywood,employing urea-formaldehyde(UF)adhesive as reference.The evaluated formulations incorporate quebracho tannin with hexamine or novel protein-containing ingredients,namely soy protein isolate,soy flour,and tara germ powder.Technical tests assessed bonding quality,bending strength,and modulus of elasticity in five-layer plywood.A cradle-to-grave life cycle assessment(LCA)was conducted,with the novelty of using plywood as the functional unit.One formulation,combining tannin and hexamine,exhibited performance comparable to UF-bonded plywood,meeting EN 310 and EN 314 Class 1 standards.Environmental benefits were notable,with carcinogenic human toxicity reduced by 47%,even without accounting for formaldehyde emissions during the use stage.Fossil resource depletion decreased by up to 13%,and global warming potential from fossil sources fell by 10%,in accordance with EN 15804:2012+A2:2019.These findings provide a foundation for further optimisation,broader application in wood-based panels,and enhanced sustainability in construction.
文摘The environment and its preservation are becoming more and more dependent on ecological development in an age of accelerating climate risk,biodiversity loss,and pressures of pollution.This review summarizes the frontiers of innovation that are capable of enhancing integration of human development and ecological integrity,and how the interaction between technical,ecological,and institutional innovations can produce real-world results.We initially discuss developing ecological innovations that offer new opportunities to urban development,such as low-impact cities,ecological infrastructure,clean energy transitions,and biodiversity-informed siting,and digital decision-support systems enhancing planning and resource efficiency.Then,we evaluate progress in the field of preservation and restoration,with a particular focus on nature-based solutions,a process-based approach to restoration science,connectivity conservation,and a watershed-scale and seascape-scale approach to restore resilience and help recover biodiversity.In these spheres,we discover measurement,monitoring,and verification(MRV),one of the main pillars of scale alongside remote sensing,automated field monitoring,environmental Deoxyribonucleic Acid(DNA),and Artificial Intelligence(AI)-enabled analytics,increasing the range of trackable and manageable indices as well as creating new issues with baselines,uncertainty,and data ethics.Lastly,we compare governance,finance,and equity as key conversion processes that can turn innovations into sustainable dividends with authenticity principles,however,of additionality,permanence,and leakage avoidance,and with rightsbased and redistributive mechanisms and approaches that reinforce legitimacy.We end by providing a portfolio roadmap of prioritization of the interventions that have high co-benefits and the identification of critical research and institutional gaps to provide net-positive ecological results.
基金supported by Natural Science Foundation of Xiamen,China(No.3502Z20227232)the STS Project of Fujian-CAS(No.2023T3018)Bureau of International Cooperation,Chinese Academy of Sciences(No.322GJHZ2022035MI).
文摘Anammox bacteria in constructed wetlands(CWs)play pivotal role in sustainable nitrogen transformation,yet existing studies lack comprehensive analysis of environmental gradients and microbial interactions,both key factors in anammox bacteria enrichment.This study investigated the mechanisms driving anammox bacteria enrichment in lab-scale simulated CWs treating high-nitrogen wastewater,focusing on bacterial community re-sponses across wetland layers with various strategies,including continuous up-flow influent,nitrogen loading increase,effluent recirculation,intermittent influent,and anammox bacteria inoculation.Results showed that total relative and absolute abundances of anammox bacteria ranged from 0.77%to 12.50%and from 0.13 to 6.46×10^(7) copies/g,respectively.Dissolved oxygen and pH had significant positive correlations with the absolute abundance of anammox bacteria,while organic matter and nitrate negatively impacted their relative abundance.Permutational multivariate analysis of variance indicated that spatial heterogeneity explained more variation in anammox bacteria abundance(43.44%)compared to operational strategies(8.58%).In terms of microbial interactions,60 dominant species exhibited potential correlations with anammox bacteria,comprising 170 interactions(105 positive and 65 negative),which suggested that anammox bacteria generally foster cooperative relationships with dominant bacteria.Notably,significant interspecies interactions were observed between Candidatus Kuenenia(dominant anammox bacteria in CWs)and species within the genera Chitinivibrio-nia and Anaerolineaceae,suggesting that microbial interactions primarily manifest as indirect facilitative effects rather than direct mutualistic relationships.Given that the Normalized Stochasticity Ratio in CWs were<50%,this study inferred that environmental gradients have greater influence on anammox bacteria than microbial interactions.
基金supported by the Key R&D Projects in Hainan Province(No.ZDYF2024SHFZ085)Hainan Provincial Joint Project of Sanya Yazhou Bay Science and the Technology City(No.2021CXLH0009)the National Natural Science Foundation of China(No.42376234).
文摘This paper takes the water body of Daliao River-Liaodong Bay as the research object,divides it into three regions:river,estuary,and offshore,and analyzes the changes of antibiotics and antibiotic resistance genes(ARGs)from inland rivers to the sea and the environmental impact factors from this perspective.The results showed that in general,the pollution of antibiotics and ARGs in Daliao River-Liaodong Bay belonged to the medium-low level,and levels of antibiotics and ARGs were nd–106.23 ng/L and nd–1.95×10^(8)copies/L,respectively.The concentrations and types of antibiotics and ARGs decreased from inland to sea regions.Analysis of the distributional characteristics of antibiotics and ARGs from a regionalized perspective revealed significant differences among the three regions in sulfonamide antibiotics,tetracycline antibiotics,and dominant ARGs.Sulfonamide antibiotic levels were significantly higher in the estuarine zone than in the riverine and offshore zones;tetracycline antibiotic levels were significantly higher in the riverine and estuarine zones than in the offshore zone.Aminoglycosides were dominant in the riverine and estuarine zones,and macrolides were dominant in the offshore zone.We characterized the effects of environmental factors on the assignment of antibiotics and ARGs and found that overall temperature contributed the most to variation in antibiotics and ARGs;the contribution of dissolved oxygen was the lowest.The estuarine zone was most affected by these factors,followed by the offshore zone and finally the riverine zone.
基金supported by the National Science and Technology Major Project of China(No.2017-VI-0020-0093).
文摘The high-temperature interaction of nanostructured Lu_(2)Si_(2)O_(7) environmental barrier coatings(EBCs)with calcium-magnesium-aluminosilicate(CMAS)was investigated at 1400℃ for 1,10,25,and 50 h to evaluate the coating’s resistance to CMAS corrosion.The results indicate a phase transformation over time,transitioning from Ca_(2)Lu_(8)(SiO_(4))6O_(2) apatite and Lu_(2)Si_(2)O_(7) to solely Lu_(2)Si_(2)O_(7).The interaction of the Lu_(2)Si_(2)O_(7) coating with the CMAS melts was divided into three stages based on the corrosion reaction behavior.The delamination cracks were distributed throughout the interface between the Si bond layer and Lu_(2)Si_(2)O_(7) layer after corroded at 1400℃ for 50 h,signifying coating failure.In addition,the influence of monosilicates,disilicates,and corrosion duration on the recession layer thickness was analyzed by comparing previous reports on RE_(2)SiO_(5)/RE_(2)Si_(2)O_(7) coatings(RE=Gd,Yb,Lu,Er).Furthermore,the variation in the thermally grown oxide layer thickness in CMAS-corroded Lu_(2)Si_(2)O_(7) coatings was systematically investigated.
文摘Water resources health diagnosis is increasingly recognized as a critical tool.It should not only guide the preservation of water volume,quality,and ecological integrity but also assess the viability of carbon-neutral development pathways.But current research tends to consider water health assessment and carbon-neutrality planning as separate endeavors,which results in imprecise boundaries,disjointed metrics,and a weak linkage between diagnostic outcomes and testable management actions.This review brings together indicator systems,diagnostic systems,and environmental management systems architectures that make it possible to have integrated water-carbon governance.We define fundamental concepts and delimiting decisions followed by the examination of indicator designs across the hydrological regime,water quality,ecological integrity,service performance,resilience,and carbon-related measures,including intensity of energy/emissions,emissions caused by the watershed process of wastewater treatment,as well as the potential sink of the watershed.We compare diagnostic methods,such as composite indices and multi-criteria decision analysis,data-driven early-warning models,process-based and integrated simulations,as well as uncertainty-aware robustness models.Here,based on this synthesis,we suggest an environmental management systems(EMS)-based pathway,which connects the setting of the baseline,the diagnosis,the design of the intervention portfolio,and the measurement-reporting-verification into the closed-loop adaptive cycle.Digital enablement,comprising Internet of Things(IoT)monitoring,remote sensing,data fusion,optimization,and digital twins,is considered a viable way of scaling implementation,subject to interoperability,validation,and model governance.Among the major gaps,there are causal attribution to outcomes,cross-scale coupling of facility emissions and basin health,propagation of uncertainty in a coupled model,and credible Measurement,Reporting,and Verification(MRV)of non-CO_(2) gases and nature-based removals.The review gives a roadmap to normalize core metrics and fast-deployable systems to protect the health of the water resources and give verifiable progress towards carbon neutrality.
文摘Climate change,natural disasters,pollution,and fast urbanization have made environmental security a more serious international issue.Timely,accurate,and multi-dimensional information is essential in the effective monitoring and management of such complex challenges in the environment.The Earth Observation(EO)systems,including optical sensors,radar sensors,Light Detection and Ranging(LiDAR)sensors,thermal sensors,Unmanned Aerial Vehicle(UAV)sensors,and in-situ sensors,offer a good coverage of space and time,as well as provide useful information on land,water,and atmospheric processes.But the shortcomings or weaknesses of individual sensors,such as their vulnerability to weather conditions,spectral or spatial resolution,and gaps in time,can tend to limit their ability to provide a complete picture of the environment.One of the solutions has been multi-sensor fusion,which combines heterogeneous data and makes it more accurate,robust,and interpretable.This systematic review analyzes the latest methods of multi-sensor fusion,which are machine learning,deep learning,probabilistic models,and hybrid approaches,in terms of methodological principles,preprocessing needs,and computational frameworks.Applications in environmental security are highlighted,which include monitoring natural disasters,monitoring of climate and ecosystem,pollution monitoring,monitoring of land use change,and early warning systems.The review also covers evaluation measures,validation plans,and uncertainty measures,where a strict measure of evaluation is vital to making actionable decisions.Lastly,emerging issues,e.g.,data heterogeneity,computational needs,sensor interoperability,and prospects in the future,e.g.,AI-based adaptive fusion,UAVs and Internet of Things(IoT)integration,and scalable cloud-based systems,are discussed.The synthesis has highlighted the transformational capability of multi-sensor EO in terms of improving the environment in the context of environmental security and sustainable management.
基金supported by the National Natural Science Foundation of China(Grant No.32160172)the Key Science-Technology Project of Inner Mongolia(2023KYPT0010)+1 种基金the Natural Science Foundation of Inner Mongolia Autonomous Region of China(Grant No.2025QN03006)the 2023 Inner Mongolia Public Institution High-Level Talent Introduction Scientific Research Support Project.
文摘Environmental DNA(eDNA)technology has revolutionized biodiversity monitoring with its non-invasive,sensitive,and cost-efficient approach.This paper systematically reviews eDNA advancements,examining its applications in aquatic and terrestrial ecosystems and assessing China’s standardization progress.It delineates four developmental phases from single-species detection to high-throughput sequencing,and highlights China’s contribution to the development of technical standards.While significant progress has been made,challenges persist in quantitative accuracy,methodological consistency,and large-scale implementation.Future efforts should prioritize enhanced standardization,improved quantification techniques,broader applications,and international collaboration to drive innovation in eDNA technology.
基金the Natural Science Basic Research Program of Shaanxi Province,China[2023-JC-QN-0858]the Free Exploration Program of the Second Affiliated Hospital,School of Medicine,Xi’an Jiaotong University[2020YJ(ZYTS)605]the National Natural Science Foundation of China[81900620].
文摘Global environmental changes including climate warming,extreme weather events,ambient air pollution,freshwater contamination,and landscape transformation are reshaping the epidemiology of infectious diseases with unprecedented complexity,particularly in the post-COVID-19 era.This review synthesizes evidence from the past decade(2015-2024)to systematically elucidate how key environmental drivers modulate pathogen emergence,transmission dynamics,and clinical outcomes,with a focus on underlying mechanistic pathways.Specifically,we highlight:(1)the temperature-and precipitation-dependent transmission of vector-borne diseases(e.g.,malaria,dengue)via expanded vector habitats and accelerated pathogen incubation;(2)the exacerbation of respiratory infections(including COVID-19)by particulate matter(PM2.5)and nitrogen dioxide(NO2)through impaired mucosal immunity and enhanced inflammatory responses;(3)the persistence of diarrheal diseases in low-and middle-income countries(LMICs)linked to water insecurity and climate-induced infrastructure failure;and(4)zoonotic spillover risks amplified by urbanization and deforestation-driven human-wildlife interface disruption.Integrating the One Health socioecological framework,we further summarize methodological advances from high-resolution genomic surveillance to climate-informed machine learning models that have improved causal inference and predictive accuracy.Our synthesis confirms that environmental factors are not merely contextual but central,modifiable determinants of infectious disease risk,with disproportionate impacts on vulnerable populations.To mitigate future threats,we emphasize the urgency of interdisciplinary collaboration,integrated environmental-health monitoring platforms,and climate-resilient public health policies tailored to post-pandemic challenges.This review provides a timely roadmap for translating environmental epidemiology insights into actionable strategies to strengthen global health resilience.
文摘The informatization of the grid,i.e.,the incorporation of sensing,communications,data platforms,analytics,and automation in the running of power systems,has turned out to be a vital facilitator of environmental mitigation as power systems increasingly take up larger proportions of variable renewables,distributed energy resources(DERs),and electrified end uses.The review summarizes the worldwide evidence related to the ability of informatization-based smart grid applications to lower the environmental impact in six pathways,namely efficiency improvement,flexibility activation,renewable integration,DER coordination,electrification management,and resilience enhancement.Across regions,the most consistently reported benefits arise from reducing waste and improving operational control,including loss reduction,volt/VAR optimization,conservation voltage reduction,and distribution automation,particularly in systems with high baseline losses or frequent outages.Demand response,dynamic pricing,and managed electric vehicle(EV)charging can further lower emissions when they displace high-emitting marginal generation or align consumption with time-varying low-carbon supply;however,outcomes are highly sensitive to marginal emissions profiles and accounting methods.In highrenewable systems,forecasting,congestion management,and curtailment reduction emerge as high-leverage mechanisms,while distributed energy resource management systems/virtual power plant(DERMS/VPP)-enabled coordination can expand hosting capacity and substitute distributed flexibility for carbon-intensive balancing,contingent on interoperability and constraint-aware control.The review also highlights trade-offs that shape net benefits,including embodied impacts and e-waste from digital hardware,information and communication technologies(ICT)energy use,rebound and equity effects,and cyber-physical risks.We conclude with governance and research priorities for verifiable,secure,and lifecyclesustainable informatization.
基金supported by the National Key Research and Development Program of China(Grant No.2022YFF1303405).
文摘Compared with traditional energy sources,wind power has a lower environmental impact.However,emissions are still generated across the life cycle of wind turbines,from production to recycling.As wind power rapidly develops and deployment increases,these impacts are becoming increasingly evident.A comprehensive understanding of these impacts is crucial for sustainable development.Based on the harmonization of previous detailed life cycle assessment(LCA)studies,this study develops a simplified LCA model that estimates the life cycle environmental impacts of wind turbines based on their nominal power.Using this simplified LCA model,we assess the global warming potential(GWP),acidification potential(AP),and cumulative energy demand(CED)of wind power at the regional scale for 2022 and under three future scenarios(high-power wind turbine promotion,reduced wind curtailment,and a comprehensive development scenario).The results indicate that in 2022,the life cycle GWP,AP,and CED of wind power in western China were 10.76 g CO_(2) eq/kWh,0.177 g SO_(2) eq/kWh,and 17.6 kJ/kWh,respectively.Scenario simulations suggest that reducing wind curtailment is the most effective approach for reducing emissions in Inner Mongolia,Gansu,Qinghai,Ningxia,and Xinjiang,producing average decreases of 8.64%in GWP,8.39%in AP,and 9.26%in CED.In contrast,for Guangxi,Chongqing,Sichuan,Guizhou,Yunnan,Xizang,and Shaanxi,the promotion of high-power wind turbines provides greater environmental benefits than reducing curtailment,producing average decreases of 3.45%,3.09%,and 4.29%in GWP,AP,and CED,respectively.These findings help clarify the environmental impact of wind power across its life cycle at the regional scale and provide theoretical references for the direction of future wind power development and the formulation of related policies.
文摘Oil and gas pipelines are a vital long-distance liquid and natural gas carrier,but their functionality is being assessed from a two-fold perspective of power economy and environmentalism.This review concurs on the way these outcomes are interdependent throughout the pipeline lifecycle by contending that the efficiency,emissions,reliability,and environmental risk are jointly determined through the shared design decisions,operating plans,integrity platforms,and monitoring and response plans.Our initial conceptualization is pipeline systems and performance measures,which are characterized by boundary and comparability issues of particular energy consumption,methane intensity,and release consequence measures.Next,we look at hydraulic and station optimization,focusing on the need to look at the importance of equipment performance at part loads,constraints consciousness dispatch,and transient management to prevent the erosion of integrity levels by efficiency gains.The integrity management is appraised as one of the key enablers of stewardship that connects the corrosion prevention,in-line inspection and verification,and the risk-based mitigation to less likely failure,less disruptive interventions,and reduced emissions during maintenance.We compare the leak and spill prevention,detection,quantification,and response of the SCADA(supervisory control and data acquisition)-based computational monitoring,distributed sensing,as well as aerial/satellite,focusing on the validation,characterization of uncertainty,and the operational parameters modulating the time-to-detect and isolation performance.Environmental impacts of the lifecycle,not related to releases,are explained,such as routing and construction disturbance,management of right-of-way,station externalities,decommissioning,and climate resilience.Lastly,we assess new technologies,such as continuous monitoring networks,electrification,superior materials,and multi-objective decision-making that collaborates to increase energy,reliability,and environmental performance in heterogeneous pipeline networks.
文摘Indeed,a range of systems in the environment requires timely,spatially explicit,and credible information to support its environmental decision-making,but no one observing system can give the complete and reliable measures of the Earth system across scales.This review summarizes how the realization of the Compute the Planet is underway in the form of machine learning,remote sensing,and sensor data fusion to generate decision-ready environmental insights.We use the application-first approach,which considers remote sensing,in situ and Internet of Things(IoT)sensing,and physics-based models as complementary streams of evidence with similar strengths and failures.We look critically at how an integrated system can convert heterogeneous observations to action products across three high impact application areas:atmosphere and air quality,water–land–ecosystem dynamics,and hazards.Rapid-response situational awareness,ecosystem condition metrics,drought and flood indicators,exposure maps,and hazard/extreme indicators are key products.The integrated systems to environment interface in three high impact application areas:atmosphere and air quality,water-land-ecosystem dynamics,and hazard Examine Our operational requirements can often determine real-life value such as latency,time stability,smooth degradation in the presence of missing or degraded inputs,and calibrated uncertainty usable in thresholdbased decisions.These pitfalls are common across fields:mismatch in the scale between a point sensor and a gridded product,objectives on proxies in remotely sensed measurements,domain shift in the extremes and changing baselines,and evaluation aspects,which overestimate generalization because of spatiotemporal autocorrelation.Based on these lessons,we present cross-domain proposals for strong validation,uncertainty quantification,provenance,and versioning,as well as fair performance evaluation.We conclude that the next era of environmental intelligence will see a reduction in average accuracy improvement and an increase in terms of robustness,transparency,and operational responsibility,thus allowing the integrated environmental intelligence system to be deployed,which may be relied on to monitor human health,resource allocation,and survival in a more climate-adapted world.
基金supported by the National Natural Science Foundation of China(No.32202158).
文摘Immobilized microalgae technologies(IMTs)involve the fixing of free-living microalgae onto specialized carriers through physical adsorption,chemical cross-linking,or biological interactions to enhance cell retention,metabolic stability,and stress resistance.These have emerged as multifunctional and sustainable platforms for environmental remediation,extending their applications beyond wastewater treatment to include soil and air purification.This review categorizes advanced IMT carriers into three major types:(1)inorganic engineered materials(e.g.,biochar-nanoparticle hybrids),(2)functionalized organic polymers(e.g.,pH-responsive hydrogels),and(3)bio-derived scaffolds(e.g.,fungal-algal and algal-bacterial consortia).They enhance microalgal retention,metabolic activity,and microalgal stress resistance,enabling the effective removal of nitrogen,phosphorus,heavy metals,organic pollutants,and airborne particulates across diverse environmental matrices.We highlight key cooperative mechanisms—such as extracellular polymeric substance(EPS)-mediated adhesion,quorum sensing,and metabolic synergy—that underpin pollutant removal and biomass stability.Particular emphasis is placed on integrating smart technologies,including magnetic microrobots,3D/4D-printed scaffolds,and AI-guided optimization,which improve the scalability,adaptability,and environmental responsiveness of IMT systems.By synthesizing the advances in materials science,microbial ecology,and environmental engineering,this review defines the future direction of research into IMTs as a next-generation bioengineering strategy for the integrated management of water,soil,and air pollution.
基金supported by the Major Planning Project of Philosophy and Social Science of Guangdong Province(GD23ZD17)the Humanities and Social Sciences Program of the Ministry of Education(23YJA190006)+3 种基金the Ministry of Education(MOE)Major Project of Philosophy and Social Sciences Research(2025JZDZ024)the MOE Project of the Key Research Institute of Humanities and Social Sciences in Universities(22JJD190008)a grant from the Research Center for Brain Cognition and Human Development of Guangdong(2024B0303390003)the Psychological Services and Counseling Base for the Happy Guangzhou Project.
文摘Background:Exposure to environmental vulnerability poses significant threats to adolescent suicidal ideation,while individual resilience can mitigate these adverse effects with notable gender commonalities and differences.However,research examining how these factors co-configure at the individual level remains limited,particularly from a gender-specific perspective.Thus,the present study aims to adopt a person-centered analytic approach to identify gender-specific configurations of environmental vulnerability and individual resilience associated with suicidal ideation among Chinese adolescents.Methods:Data were collected from 2616 Chinese primary and secondary school students(aged 10–17;1223 girls).Participants completed validated scales measuring environmental vulnerability,individual resilience,and suicidal ideation.Latent profile analysis(LPA)was conducted separately by gender.Results:Gender differences were prominent:males exhibited higher resilience and lower suicidal ideation,while females reported higher environmental vulnerability and elevated levels of suicidal ideation.LPA identified three distinct profiles for males:Low Vulnerable–High Protective–Low Risk(LHL),Medium Vulnerable–Low Protective–Low Risk(MLL),and High Vulnerable–Low Protective–High Risk(HLH).Four profiles emerged for females:LHL,MLL,Medium Vulnerable–Low Protective–Medium Risk(MLM),and HLH.Crucially,within the HLH profile,males exhibited particularly deficient humor(η^(2)=0.19)and confidence(η^(2)=0.16),while females formed a distinct subgroup characterized by severe academic and family stressors(η^(2)=0.30–0.36).Conclusion:The study underscores developing gender-specific mental health interventions using a nuanced,person-centered approach that considers both environmental risk and individual resilience factors,which allows for targeted suicide prevention strategies addressing the unique needs of male and female adolescents.
基金supported by Jiangxi Polytechnic Institute Key Research Topics in Educational Reform 2025-JGJG-07.
文摘The intelligent environmental sensing systems are quickly transforming the sparse and retrospective monitoring to dense and decision-oriented environmental intelligence.This review brings together the manner in which integration of Internet of Things(IoT)sensing,edge computing,and real-time analytics facilitates timely detection,interpretation,and prediction of the environmental conditions across the applications,such as urban air quality,watershed and coastal surveillance,industrial safety,agriculture,and disaster response.We define end-to-end architectural patterns to organize devices,edge nodes,and cloud services to satisfy latency,reliability,bandwidth,and governance constraints with emphasis on event-time processing,adaptive offloading,and hierarchical aggregation.Then we look at sensing and infrastructure foundations,emphasizing the effects of sensor modality and power autonomy,connectivity,and the practices of calibration on the practicable analytics and eventual plausibility.It is on this basis that we examine real-time analytics pipelines and Artificial Intelligence(AI)techniques to preprocess,sensor combine,anomaly detect,and short-horizon forecast,with a focus on edge-deployable models,quantification of uncertainties,and query resistance to drift and domain shift.Lastly,we address the realities of deployment that condition operational success,such as lifecycle engineering,provenance-aware data management,security and privacy risks,ethical governance,and evaluation methodologies,which place end-to-end latency and field generalization as a priority.This review offers cohesion to algorithmic capabilities and systems engineering and governance to define an overall framework,show open areas of research directions,and provide practical recommendations on how to design trustworthy,scalable,and sustainable environmental monitoring systems.
基金supported by the National Key R&D Program of China(Nos.2018YFC1004300 and 2018YFC1004302)the Science&Technology Program of Guizhou Province(Nos.QKHHBZ[2020]3002,QKHPTRC-GCC[2022]039-1 and QKHPTRCCXTD[2022]014)the Scientific Research Program of Guizhou Provincial Department of Education(No.QJJ[2023]019).
文摘Despite the widespread presence and frequent detection of polycyclic aromatic hydrocarbons(PAHs)in various aspects of life,there is limited research on their exposure levels in pregnant women and cumulative exposure from the living environment.This study included 1311 women in late pregnancy from the Zunyi birth cohort and measured the urinary concentrations of 10 hydroxylated PAH metabolites(OH-PAHs).Risk assessment was conducted based on the estimated daily intake to calculate the hazard quotient and hazard index(HI).A linear regression model was used to analyze the relationship between creatinine-adjusted OH-PAHs concentrations and living environment and lifestyle factors,while principal component analysis was applied to trace the sources of PAHs exposure.1-OHPYR was detected in all participants’urine,with naphthalene metabolites having the highest concentrations among creatinine-adjusted PAHs.OH-PAHs concentrations were associated with housing type,room number,cooking frequency,household size,exercise frequency,fuel type,distance from main road,and drinking water source.Pregnant women using traditional fuels and living in bungalows had higher health risks than those using clean energy and living in buildings.Those living within 100 m of a main road had higher HI than those farther away.Coal combustion was identified as the primary source of PAHs exposure.The study emphasizes the importance of reducing PAHs exposure,especially for pregnant women living in polluted environments.It recommends public health interventions such as improving indoor ventilation and providing clean energy to reduce related health risks.
