In recent years,the application scenarios of electrical and electronic products have become increasingly diverse worldwide.The impact of climatic environmental tests on the performance of related products has attracte...In recent years,the application scenarios of electrical and electronic products have become increasingly diverse worldwide.The impact of climatic environmental tests on the performance of related products has attracted much attention,and formulating scientific and reasonable environmental test plans has become an important step to ensure product quality and reliability.展开更多
This study examines the empirical feasibility of quantitatively integrating environmental value information into Strategic Environmental Assessment(SEA).An analytical framework was established to incorporate environme...This study examines the empirical feasibility of quantitatively integrating environmental value information into Strategic Environmental Assessment(SEA).An analytical framework was established to incorporate environmental cost estimates into the SEA process by utilizing ecosystem service unit values provided by the Environmental Valuation Information System(EVIS),a national platform developed to support the evaluation of policies and projects.The framework was applied to a case study involving a multipurpose rural water development project in South Korea.Ecosystem service losses resulting from the project were quantified using biophysical indicators,such as vegetation biomass,forest area,and hydrological functions,and subsequently monetized through the application of the market price method,replacement cost method,and contingent valuation method.The total annual environmental cost was estimated to be approximately KRW 56.18 billion,with the majority attributable to losses in forest conservation and climate regulation services.These findings demonstrate that quantified environmental data can serve as a robust basis for alternative comparison and site evaluation within SEA.The study provides empirical evidence supporting the advancement of SEA from a predominantly procedural tool focused on environmental protection to a more comprehensive sustainability assessment framework that integrates environmental,economic,and social considerations.Furthermore,the results suggest that EVIS-based quantitative information holds potential for broader application in other national evaluation systems,such as preliminary feasibility studies and regulatory impact assessments.展开更多
The journal of Meteorological and Environmental Research[ISSN:2152-3940]has been included and stored by the following famous databases:CA,CABI,CSA,EBSCO,UPD,AGRIS,EA,Chinese Science and Technology Periodical Database,...The journal of Meteorological and Environmental Research[ISSN:2152-3940]has been included and stored by the following famous databases:CA,CABI,CSA,EBSCO,UPD,AGRIS,EA,Chinese Science and Technology Periodical Database,and CNKI,as well as Library of Congress,United States.展开更多
The journal of Meteorological and Environmental Research[ISSN:2152-3940]has been included and stored by the following famous databases:CA,CABI,CSA,EBSCO,UPD,AGRIS,EA,Chinese Science and Technology Periodical Database,...The journal of Meteorological and Environmental Research[ISSN:2152-3940]has been included and stored by the following famous databases:CA,CABI,CSA,EBSCO,UPD,AGRIS,EA,Chinese Science and Technology Periodical Database,and CNKI,as well as Library of Congress,United States.展开更多
This research extends the literature on the environmental Phillips curve(EPC)and environmental Kuznets curve(EKC)by focusing on the 38 member economies of the Organization for Economic Co-operation and Development(OEC...This research extends the literature on the environmental Phillips curve(EPC)and environmental Kuznets curve(EKC)by focusing on the 38 member economies of the Organization for Economic Co-operation and Development(OECD).Using panel data from 2000 to 2021,the study employs several econometric techniques,including fixed effects,feasible generalized least squares,two-stage least squares,and the generalized method of moments.Our primary findings reveal that unemployment has a significant negative impact on CO_(2)emissions,thereby supporting the validity of the EPC hypothesis within OECD countries.This suggests a trade-off between unemployment and reductions in CO_(2)emissions.Similarly,the results validate the EKC hypothesis,with further analysis indicating that the EKC exhibits an N-shaped curve-an important contribution to the literature on environmental dynamics in advanced economies.Additionally,the results show that both trade openness and renewable energy usage have significantly improved environmental quality in OECD economies.Finally,extensive causality testing identifies both one-way and two-way causal relationships among the key variables examined.These findings have important policy implications for the management of environmental quality and macroeconomic variables in the OECD context.展开更多
Plantshave evolvedvariousmechanismsto interact withmicroorganisms,which help them acquire nutrients from the soil and enhance their tolerance to environmental stresses.One of the most widespread mutualistic interactio...Plantshave evolvedvariousmechanismsto interact withmicroorganisms,which help them acquire nutrients from the soil and enhance their tolerance to environmental stresses.One of the most widespread mutualistic interactions is arbuscular mycorrhizal(AM)symbiosis,which is formed by 80%-90%of terrestrial plants in association with AM fungi.In AM symbiosis,plants acquire mineral nutrients from the fungi in exchange for fatty acids and sugars that are produced during photosynthesis(Jiang et al.,2017).展开更多
As environmental pollutants pose a serious threat to socioeconomic and environmental health,the development of simple,efficient,accurate and costeffective methods for pollution monitoring and control remains a major c...As environmental pollutants pose a serious threat to socioeconomic and environmental health,the development of simple,efficient,accurate and costeffective methods for pollution monitoring and control remains a major challenge,but it is an unavoidable issue.In the past decade,the artificial nanozymes have been widely used for environmental pollutant monitoring and control,because of their low cost,high stability,easy mass production,etc.However,the conventional nanozyme technology faces significant challenges in terms of difficulty in regulating the exposed crystal surface,complex composition,low catalytic activity,etc.In contrast,the emerging single-atom nanozymes(SANs)have attracted much attention in the field of environmental monitoring and control,due to their multiple advantages of atomically dispersed active sites,high atom utilization efficiency,tunable coordination environment,etc.To date,the insufficient efforts have been made to comprehensively characterize the applications of SANs in the monitoring and control of environmental pollutants.Building on the recent advances in the field,this review systematically summarizes the main synthesis methods of SANs and highlights their advances in the monitoring and control of environmental pollutants.Finally,we critically evaluate the limitations and challenges of SANs,and provide the insights into their future prospects for the monitoring and control of environmental pollutants.展开更多
Modules enable students to engage with content at their own pace,fostering autonomy and deeper understanding.The modular approach ensures clarity in presenting objectives,instructions,and concepts,while having illustr...Modules enable students to engage with content at their own pace,fostering autonomy and deeper understanding.The modular approach ensures clarity in presenting objectives,instructions,and concepts,while having illustrations,activities,and assessments could enhance comprehension and retention.This paper was a developmental study on STS module for college students using the ADDIE Model(Analysis,Design,Development,Implementation,and Evaluation).Sampled 673 first-year students from Northwest Samar State University participated in the study,with 299 participating in a test try-out and 374 in the students’performance evaluation.Three expert evaluators with backgrounds in science,English,and psychology,each with over four years of experience,assessed the modules to ensure alignment with the study’s constructivist learning goals and instructional integrity.The findings revealed that both students and experts had rated the instructional module positively,indicating its effectiveness in facilitating learning and completing lessons.Key aspects such as the style of illustrations and written expressions,the usefulness of learning activities,and the guidance provided by illustrations and captions were especially well-received.The module was praised for its clear objectives,understandable instructions,and engaging tasks like trivia and puzzles.Expert evaluations highlighted relevance,simplicity,and balanced emphasis on topics in the module content.Furthermore,students in test group demonstrated significant improvement in performance,with post-test scores notably higher than pre-test scores,confirming the module’s effectiveness in enhancing learning outcomes.Consequently,this paper provides an opportunity to integrate science learning with initiatives aimed at promoting environmental preservation and driving social change.展开更多
This paper develops an economic growth model incorporating China’s Environmental Target Responsibility System(ETRS)to analyze its impact on both economic growth and social welfare.We find that the ETRS’s effect on e...This paper develops an economic growth model incorporating China’s Environmental Target Responsibility System(ETRS)to analyze its impact on both economic growth and social welfare.We find that the ETRS’s effect on economic growth is complex,resulting from the interplay of three key factors:its potential to improve environmental quality,its potential dampening effect on total factor productivity(TFP),and its influence on local government spending on environmental governance.A balanced ETRS can improve environmental quality,promote technological innovation,and enhance social welfare.However,excessively stringent targets and overly emphasized responsibility may lead to declines in both economic growth and social welfare.From the perspective of balancing economic growth and social welfare,we find that the ETRS that maximizes economic growth is less stringent than the ETRS that maximizes social welfare.Crucially,the economic growth cost of shifting from a growth-maximizing to a welfare-maximizing ETRS is minimal.In other words,significant improvements in environmental quality and public well-being can be achieved without substantially sacrificing economic dynamism.This paper attempts to model China’s unique environmental target assessment system within the framework of endogenous growth theory,offering a new perspective for understanding the dynamic relationship between economic growth and environmental quality in China.展开更多
Efficient flight path design for unmanned aerial vehicles(UAVs)in urban environmental event monitoring remains a critical challenge,particularly in prioritizing high-risk zones within complex urban landscapes.Current ...Efficient flight path design for unmanned aerial vehicles(UAVs)in urban environmental event monitoring remains a critical challenge,particularly in prioritizing high-risk zones within complex urban landscapes.Current UAV path planning methodologies often inadequately account for environmental risk factors and exhibit limitations in balancing global and local optimization efficiency.To address these gaps,this study proposes a hybrid path planning framework integrating an improved Ant Colony Optimization(ACO)algorithm with an Orthogonal Jump Point Search(OJPS)algorithm.Firstly,a two-dimensional grid model is constructed to simulate urban environments,with key monitoring nodes selected based on grid-specific environmental risk values.Subsequently,the improved ACO algorithm is used for global path planning,and the OJPS algorithm is integrated to optimize the local path.The improved ACO algorithm introduces the risk value of environmental events,which is used to direct the UAV to the area with higher risk.In the OJPS algorithm,the path search direction is restricted to the orthogonal direction,which improves the computational efficiency of local path optimization.In order to evaluate the performance of the model,this paper utilizes the metrics of the average risk value of the path,the flight time,and the number of turns.The experimental results demonstrate that the proposed improved ACO algorithm performs well in the average risk value of the paths traveled within the first 5 min,within the first 8 min,and within the first 10 min,with improvements of 48.33%,26.10%,and 6.746%,respectively,over the Particle Swarm Optimization(PSO)algorithm and 70.33%,19.08%,and 10.246%,respectively,over theArtificial Rabbits Optimization(ARO)algorithm.TheOJPS algorithmdemonstrates superior performance in terms of flight time and number of turns,exhibiting a reduction of 40%,40%and 57.1%in flight time compared to the other three algorithms,and a reduction of 11.1%,11.1%and 33.8%in the number of turns compared to the other three algorithms.These results highlight the effectiveness of the proposed method in improving the UAV’s ability to respond efficiently to urban environmental events,offering significant implications for the future of UAV path planning in complex urban settings.展开更多
Corporate environmental sustainability has become a critical concern,particularly in resource-intensive industries such as pharmaceuticals,where regulatory pressures and stakeholder expectations continue to rise.Despi...Corporate environmental sustainability has become a critical concern,particularly in resource-intensive industries such as pharmaceuticals,where regulatory pressures and stakeholder expectations continue to rise.Despite increasing attention to green leadership,limited research has explored how environmentally responsible leadership(ERL)influences corporate environmental performance(CEP)through employee-driven sustainability behaviors.This study addresses this gap by examining the mediating roles of green knowledge-sharing behavior(GKSB),green innovative behavior(GIB),and voluntary green behavior(VGB),as well as the moderating role of green shared vision(GSV)in the ERL-CEP relationship.The study is grounded in Resource-Based View(RBV),Knowledge-Based View(KBV),Environmental-Based View(EBV),and Triple Bottom Line(TBL)theories,which collectively explain how leadership-driven sustainability efforts create long-term competitive advantages,drive environmental responsibility,and balance economic,social,and environmental sustainability.A quantitative research design was employed,using survey data from 384 employees in Bangladesh’s pharmaceutical sector.Data were analyzed using Partial Least Squares Structural Equation Modeling(PLS-SEM)in Smart-PLS 4.0 to assess direct,indirect,and moderating effects.The results confirm that ERL has a significant positive impact on CEP,with GKSB,GIB,and VGB acting as mediators,while GSV strengthens the ERL-CEP relationship.This study provides novel empirical evidence on the mechanisms linking green leadership to corporate sustainability,extending the application of RBV,KBV,EBV,and TBL to leadership-driven environmental management.The findings emphasize the importance of leadership training programs,sustainability-focused organizational cultures,and shared environmental visions.Policymakers should consider incentives for companies adopting ERL practices,ensuring that sustainability becomes a strategic,rather than compliance-driven,priority.This study contributes to leadership and sustainability literature by offering a comprehensive framework for integrating ERL into corporate governance and environmental strategies.展开更多
The zebrafish has emerged as a powerful model organism in life science owing to its remarkable biological characteristics and wide-ranging applications.This review provides a comprehensive overview of the recent advan...The zebrafish has emerged as a powerful model organism in life science owing to its remarkable biological characteristics and wide-ranging applications.This review provides a comprehensive overview of the recent advancements in research on zebrafish within the field of environmental toxicology,highlighting specific studies where this species was used to investigate various pollutants to elucidate their impacts and underlying mechanisms.The findings of these studies underscore the significant potential of zebrafish as a model to gain crucial insights into the ecological consequences of environmental contamination and toxicity pathways.By incorporating cutting-edge technologies such as artificial intelligence(Al),high-throughput screening,and omics approaches,the use of zebrafish as a model organism is poised to significantly accelerate toxicological investigations,promote environmental conservation efforts,contribute to safeguarding human health,and advance sustainable development objectives.展开更多
Human brain development is a complex process,and animal models often have significant limitations.To address this,researchers have developed pluripotent stem cell-derived three-dimensional structures,known as brain-li...Human brain development is a complex process,and animal models often have significant limitations.To address this,researchers have developed pluripotent stem cell-derived three-dimensional structures,known as brain-like organoids,to more accurately model early human brain development and disease.To enable more consistent and intuitive reproduction of early brain development,in this study,we incorporated forebrain organoid culture technology into the traditional unguided method of brain organoid culture.This involved embedding organoids in matrigel for only 7 days during the rapid expansion phase of the neural epithelium and then removing them from the matrigel for further cultivation,resulting in a new type of human brain organoid system.This cerebral organoid system replicated the temporospatial characteristics of early human brain development,including neuroepithelium derivation,neural progenitor cell production and maintenance,neuron differentiation and migration,and cortical layer patterning and formation,providing more consistent and reproducible organoids for developmental modeling and toxicology testing.As a proof of concept,we applied the heavy metal cadmium to this newly improved organoid system to test whether it could be used to evaluate the neurotoxicity of environmental toxins.Brain organoids exposed to cadmium for 7 or 14 days manifested severe damage and abnormalities in their neurodevelopmental patterns,including bursts of cortical cell death and premature differentiation.Cadmium exposure caused progressive depletion of neural progenitor cells and loss of organoid integrity,accompanied by compensatory cell proliferation at ectopic locations.The convenience,flexibility,and controllability of this newly developed organoid platform make it a powerful and affordable alternative to animal models for use in neurodevelopmental,neurological,and neurotoxicological studies.展开更多
Environmentalmonitoring systems based on remote sensing technology have a wider monitoringrange and longer timeliness, which makes them widely used in the detection andmanagement of pollution sources. However, haze we...Environmentalmonitoring systems based on remote sensing technology have a wider monitoringrange and longer timeliness, which makes them widely used in the detection andmanagement of pollution sources. However, haze weather conditions degrade image qualityand reduce the precision of environmental monitoring systems. To address this problem,this research proposes a remote sensing image dehazingmethod based on the atmosphericscattering model and a dark channel prior constrained network. The method consists ofa dehazing network, a dark channel information injection network (DCIIN), and a transmissionmap network. Within the dehazing network, the branch fusion module optimizesfeature weights to enhance the dehazing effect. By leveraging dark channel information,the DCIIN enables high-quality estimation of the atmospheric veil. To ensure the outputof the deep learning model aligns with physical laws, we reconstruct the haze image usingthe prediction results from the three networks. Subsequently, we apply the traditionalloss function and dark channel loss function between the reconstructed haze image and theoriginal haze image. This approach enhances interpretability and reliabilitywhile maintainingadherence to physical principles. Furthermore, the network is trained on a synthesizednon-homogeneous haze remote sensing dataset using dark channel information from cloudmaps. The experimental results show that the proposed network can achieve better imagedehazing on both synthetic and real remote sensing images with non-homogeneous hazedistribution. This research provides a new idea for solving the problem of decreased accuracyof environmental monitoring systems under haze weather conditions and has strongpracticability.展开更多
In the quest for effective solutions to address Environ.Pollut.and meet the escalating energy demands,heterojunction photocatalysts have emerged as a captivating and versatile technology.These photocatalysts have garn...In the quest for effective solutions to address Environ.Pollut.and meet the escalating energy demands,heterojunction photocatalysts have emerged as a captivating and versatile technology.These photocatalysts have garnered significant interest due to their wideranging applications,including wastewater treatment,air purification,CO_(2) capture,and hydrogen generation via water splitting.This technique harnesses the power of semiconductors,which are activated under light illumination,providing the necessary energy for catalytic reactions.With visible light constituting a substantial portion(46%)of the solar spectrum,the development of visible-light-driven semiconductors has become imperative.Heterojunction photocatalysts offer a promising strategy to overcome the limitations associated with activating semiconductors under visible light.In this comprehensive review,we present the recent advancements in the field of photocatalytic degradation of contaminants across diverse media,as well as the remarkable progress made in renewable energy production.Moreover,we delve into the crucial role played by various operating parameters in influencing the photocatalytic performance of heterojunction systems.Finally,we address emerging challenges and propose novel perspectives to provide valuable insights for future advancements in this dynamic research domain.By unraveling the potential of heterojunction photocatalysts,this reviewcontributes to the broader understanding of their applications and paves the way for exciting avenues of exploration and innovation.展开更多
Persistent toxic substances(PTS)represent a paramount environmental issue in the 21st century.Understanding the concentrations and forms of PTS in the environment is crucial for accurately assessing their environmenta...Persistent toxic substances(PTS)represent a paramount environmental issue in the 21st century.Understanding the concentrations and forms of PTS in the environment is crucial for accurately assessing their environmental health impacts.This article presents a concise overview of the components of PTS,pertinent environmental regulations,and conventional detection methodologies.Additionally,we offer an in-depth review of the principles,development,and practical applications of surface-enhanced Raman scattering(SERS)in environmental monitoring,emphasizing the advancements in detecting trace amounts of PTS in complex environmental matrices.Recent progress in enhancing SERS sensitivity,improving selectivity,and practical implementations are detailed,showcasing innovative materials and methods.Integrating SERS with advanced algorithms are highlighted as pivotal areas for future research.展开更多
Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in China.As phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing...Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in China.As phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing phytoplankton communities and their growth influencing factors in polluted urban rivers can provide new ideas for pollution control.Here,we used direct microscopic count and environmental DNA(eDNA)metabarcoding methods to investigate phytoplankton community structure in Tuojiang River Basin(Chengdu,Sichuan Province,China).The association between phytoplankton community structure and water environmental factors was evaluated by Mantel analysis.Additional environmental monitoring data were used to pinpoint major factors that influenced phytoplankton growth based on structural equation modeling.At the phylum level,the dominant phytoplankton taxa identified by the conventional microscopic method mainly belonged to Bacillariophyta,Chlorophyta,and Cyanophyta,in contrast with Chlorophyta,Dinophyceae,and Bacillariophyta identified by eDNA metabarcoding.Inα-diversity analysis,eDNA metabarcoding detected greater species diversity and achieved higher precision than the microscopic method.Phytoplankton growth was largely limited by phosphorus based on the nitrogen-to-phosphorus ratios>16:1 in all water samples.Redundancy analysis and structural equation modeling also confirmed that the nitrogen-to-phosphorus ratio was the principal factor influencing phytoplankton growth.The results could be useful for implementing comprehensive management of the river basin environment.It is recommended to control the discharge of point-and surface-source pollutants and the concentration of dissolved oxygen in areas with excessive nutrients(e.g.,Jianyang-Ziyang).Algae monitoring techniques and removal strategies should be improved in 201 Hospital,Hongrihe Bridge and Colmar Town areas.展开更多
Land use transformations in Sonipat District,Haryana,driven by urbanization,industrialization,and land acquisitions,have posed significant ecological and socio-economic challenges,particularly concerning food security...Land use transformations in Sonipat District,Haryana,driven by urbanization,industrialization,and land acquisitions,have posed significant ecological and socio-economic challenges,particularly concerning food security.This study investigates the interplay between these land use changes and their environmental implications at macro(district)and micro(village)levels,focusing on agricultural productivity and resource sustainability.The study employs a mixed-method approach,integrating secondary data from official datasets and primary data gathered through structured household surveys,focus group discussions,and visual analysis techniques.Data from 20 villages,selected based on predominant land use characteristics,were analysed using statistical and geospatial tools,including ArcGIS and STATA,to quantify food grain losses and evaluate environmental degradation.Findings of this study reveal a 19%reduction in agricultural land over two decades(2000-2024),correlating with increased residential and industrial areas.Groundwater resources face severe overexploitation,with pollution from industrial clusters further degrading water and soil quality.The study estimates a total food grain loss of 1.5 million kilograms across surveyed villages due to land acquisitions.A strong positive correlation(R^(2)=0.98)between land acquisition and food loss underscores the direct impact of urbanization on agricultural output.The research underscores the urgency of sustainable land management practices,including preserving agricultural lands,optimizing groundwater usage,and enhancing community involvement in planning.By addressing these challenges,the study advocates for balanced urban expansion and food security to ensure ecological and economic resilience in the region.展开更多
Abandoned mines,especially pyrite-rich ones,release acid mine drainage(AMD)with high acidity and excessive amounts of heavy metals,threatening regional ecosystems.Six samples of mine drainage,nine samples of surface w...Abandoned mines,especially pyrite-rich ones,release acid mine drainage(AMD)with high acidity and excessive amounts of heavy metals,threatening regional ecosystems.Six samples of mine drainage,nine samples of surface water,and twelve samples of sediment were analyzed in this case study of the Dashu pyrite mine in southwest China.A comprehensive analysis of the pollution levels,pollution sources,and potential hazards of eight metals(Ni,Cd,Cu,Zn,Fe,Al,Pb,and Mn)that exceeded regulatory standardswas conducted bymonitoring 24 conventional and characteristic indicators.Ultimately,this research evaluated the environmental hazards associated with abandonedmine water using the"pressure-response"model,thereby providing valuable insights for the effective protection of the environment in mining regions.The primary pollutants in mine water were determined to be SO_(4)^(2−),Fe,and Mn,with concentrations of 7700,1450,and 6.78mg/L,respectively.A clear"source-sink"dynamic was observed between themine water and the surrounding water system.surface water was primarily polluted by Ni and Mn,while water system sediments were primarily polluted by Cu and Hg.Ion ratio and Pearson correlation analyses indicated heavy metals in surface water and sediments originated from the same AMD source.The"pressureresponse"model was used to assess the environmental hazards of water from abandoned mines.Mines W1,W2,W5,and W6 were classified as high-risk,while W3 and W4 were medium-risk.This study offers a novel approach and valuable reference for identifying and classifying environmental risks in abandoned mines and targeting AMD treatment.展开更多
Objective We aimed to investigate the patterns of fasting blood glucose(FBG)trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers.Methods The s...Objective We aimed to investigate the patterns of fasting blood glucose(FBG)trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers.Methods The study cohort included 3,728 workers who met the selection criteria for the Tanggang Occupational Cohort(TGOC)between 2017 and 2022.A group-based trajectory model was used to identify the FBG trajectories.Environmental risk scores(ERS)were constructed using regression coefficients from the occupational hazard model as weights.Univariate and multivariate logistic regression analyses were performed to explore the effects of occupational hazard factors using the ERS on FBG trajectories.Results FBG trajectories were categorized into three groups.An association was observed between high temperature,noise exposure,and FBG trajectory(P<0.05).Using the first quartile group of ERS1 as a reference,the fourth quartile group of ERS1 had an increased risk of medium and high FBG by 1.90and 2.21 times,respectively(odds ratio[OR]=1.90,95%confidence interval[CI]:1.17–3.10;OR=2.21,95%CI:1.09–4.45).Conclusion An association was observed between occupational hazards based on ERS and FBG trajectories.The risk of FBG trajectory levels increase with an increase in ERS.展开更多
文摘In recent years,the application scenarios of electrical and electronic products have become increasingly diverse worldwide.The impact of climatic environmental tests on the performance of related products has attracted much attention,and formulating scientific and reasonable environmental test plans has become an important step to ensure product quality and reliability.
基金funded by Korea Environmental Industry&Technology Institute(KEITI)through“Development of Aquatic Ecosystem Service Evaluation Indicators and Valuation Technology”of the Korea Ministry of Environment(MOE)(RS-2025-02214985).
文摘This study examines the empirical feasibility of quantitatively integrating environmental value information into Strategic Environmental Assessment(SEA).An analytical framework was established to incorporate environmental cost estimates into the SEA process by utilizing ecosystem service unit values provided by the Environmental Valuation Information System(EVIS),a national platform developed to support the evaluation of policies and projects.The framework was applied to a case study involving a multipurpose rural water development project in South Korea.Ecosystem service losses resulting from the project were quantified using biophysical indicators,such as vegetation biomass,forest area,and hydrological functions,and subsequently monetized through the application of the market price method,replacement cost method,and contingent valuation method.The total annual environmental cost was estimated to be approximately KRW 56.18 billion,with the majority attributable to losses in forest conservation and climate regulation services.These findings demonstrate that quantified environmental data can serve as a robust basis for alternative comparison and site evaluation within SEA.The study provides empirical evidence supporting the advancement of SEA from a predominantly procedural tool focused on environmental protection to a more comprehensive sustainability assessment framework that integrates environmental,economic,and social considerations.Furthermore,the results suggest that EVIS-based quantitative information holds potential for broader application in other national evaluation systems,such as preliminary feasibility studies and regulatory impact assessments.
文摘The journal of Meteorological and Environmental Research[ISSN:2152-3940]has been included and stored by the following famous databases:CA,CABI,CSA,EBSCO,UPD,AGRIS,EA,Chinese Science and Technology Periodical Database,and CNKI,as well as Library of Congress,United States.
文摘The journal of Meteorological and Environmental Research[ISSN:2152-3940]has been included and stored by the following famous databases:CA,CABI,CSA,EBSCO,UPD,AGRIS,EA,Chinese Science and Technology Periodical Database,and CNKI,as well as Library of Congress,United States.
文摘This research extends the literature on the environmental Phillips curve(EPC)and environmental Kuznets curve(EKC)by focusing on the 38 member economies of the Organization for Economic Co-operation and Development(OECD).Using panel data from 2000 to 2021,the study employs several econometric techniques,including fixed effects,feasible generalized least squares,two-stage least squares,and the generalized method of moments.Our primary findings reveal that unemployment has a significant negative impact on CO_(2)emissions,thereby supporting the validity of the EPC hypothesis within OECD countries.This suggests a trade-off between unemployment and reductions in CO_(2)emissions.Similarly,the results validate the EKC hypothesis,with further analysis indicating that the EKC exhibits an N-shaped curve-an important contribution to the literature on environmental dynamics in advanced economies.Additionally,the results show that both trade openness and renewable energy usage have significantly improved environmental quality in OECD economies.Finally,extensive causality testing identifies both one-way and two-way causal relationships among the key variables examined.These findings have important policy implications for the management of environmental quality and macroeconomic variables in the OECD context.
基金supported by the National Key R&D Program of China(2022YFF1001800)the National Natural Science Foundation of China(32088102)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB0630103).
文摘Plantshave evolvedvariousmechanismsto interact withmicroorganisms,which help them acquire nutrients from the soil and enhance their tolerance to environmental stresses.One of the most widespread mutualistic interactions is arbuscular mycorrhizal(AM)symbiosis,which is formed by 80%-90%of terrestrial plants in association with AM fungi.In AM symbiosis,plants acquire mineral nutrients from the fungi in exchange for fatty acids and sugars that are produced during photosynthesis(Jiang et al.,2017).
基金supported by the National Natural Science Foundation of China(22422604,32472435)the National Key Research and Development Program of China(2021YFD1700300)+1 种基金the Agricultural Science and Technology Innovation Program of CAAS(CAAS-ASTIP-IQSTAP-04)the State Key Laboratory of Analytical Chemistry for Life Science。
文摘As environmental pollutants pose a serious threat to socioeconomic and environmental health,the development of simple,efficient,accurate and costeffective methods for pollution monitoring and control remains a major challenge,but it is an unavoidable issue.In the past decade,the artificial nanozymes have been widely used for environmental pollutant monitoring and control,because of their low cost,high stability,easy mass production,etc.However,the conventional nanozyme technology faces significant challenges in terms of difficulty in regulating the exposed crystal surface,complex composition,low catalytic activity,etc.In contrast,the emerging single-atom nanozymes(SANs)have attracted much attention in the field of environmental monitoring and control,due to their multiple advantages of atomically dispersed active sites,high atom utilization efficiency,tunable coordination environment,etc.To date,the insufficient efforts have been made to comprehensively characterize the applications of SANs in the monitoring and control of environmental pollutants.Building on the recent advances in the field,this review systematically summarizes the main synthesis methods of SANs and highlights their advances in the monitoring and control of environmental pollutants.Finally,we critically evaluate the limitations and challenges of SANs,and provide the insights into their future prospects for the monitoring and control of environmental pollutants.
文摘Modules enable students to engage with content at their own pace,fostering autonomy and deeper understanding.The modular approach ensures clarity in presenting objectives,instructions,and concepts,while having illustrations,activities,and assessments could enhance comprehension and retention.This paper was a developmental study on STS module for college students using the ADDIE Model(Analysis,Design,Development,Implementation,and Evaluation).Sampled 673 first-year students from Northwest Samar State University participated in the study,with 299 participating in a test try-out and 374 in the students’performance evaluation.Three expert evaluators with backgrounds in science,English,and psychology,each with over four years of experience,assessed the modules to ensure alignment with the study’s constructivist learning goals and instructional integrity.The findings revealed that both students and experts had rated the instructional module positively,indicating its effectiveness in facilitating learning and completing lessons.Key aspects such as the style of illustrations and written expressions,the usefulness of learning activities,and the guidance provided by illustrations and captions were especially well-received.The module was praised for its clear objectives,understandable instructions,and engaging tasks like trivia and puzzles.Expert evaluations highlighted relevance,simplicity,and balanced emphasis on topics in the module content.Furthermore,students in test group demonstrated significant improvement in performance,with post-test scores notably higher than pre-test scores,confirming the module’s effectiveness in enhancing learning outcomes.Consequently,this paper provides an opportunity to integrate science learning with initiatives aimed at promoting environmental preservation and driving social change.
基金supported by the National Social Science Fund of China(NSSFC)Project“Research on Economic Growth Theory”(Grant No.22VRC176)the National Natural Science Foundation of China(NSFC)Project“Economic Dynamic Equilibrium and Optimal Regulation Policy Framework Design in the Process of Population Aging”(Grant No.72342033)+1 种基金NSFC Project“Research on the Macroeconomic Impact Mechanism of Local Government Land Allocation Behavior”(Grant No.72003211)the Central University of Finance and Economics Youth Research Innovation Team Support Program Project“Research on Data-Based Platform Anti-Monopoly Regulation”(Grant No.20230047).
文摘This paper develops an economic growth model incorporating China’s Environmental Target Responsibility System(ETRS)to analyze its impact on both economic growth and social welfare.We find that the ETRS’s effect on economic growth is complex,resulting from the interplay of three key factors:its potential to improve environmental quality,its potential dampening effect on total factor productivity(TFP),and its influence on local government spending on environmental governance.A balanced ETRS can improve environmental quality,promote technological innovation,and enhance social welfare.However,excessively stringent targets and overly emphasized responsibility may lead to declines in both economic growth and social welfare.From the perspective of balancing economic growth and social welfare,we find that the ETRS that maximizes economic growth is less stringent than the ETRS that maximizes social welfare.Crucially,the economic growth cost of shifting from a growth-maximizing to a welfare-maximizing ETRS is minimal.In other words,significant improvements in environmental quality and public well-being can be achieved without substantially sacrificing economic dynamism.This paper attempts to model China’s unique environmental target assessment system within the framework of endogenous growth theory,offering a new perspective for understanding the dynamic relationship between economic growth and environmental quality in China.
基金supported by the Special Project forKey Fields of Ordinary Universities in Guangdong Province(Number:2023ZDZX1076).
文摘Efficient flight path design for unmanned aerial vehicles(UAVs)in urban environmental event monitoring remains a critical challenge,particularly in prioritizing high-risk zones within complex urban landscapes.Current UAV path planning methodologies often inadequately account for environmental risk factors and exhibit limitations in balancing global and local optimization efficiency.To address these gaps,this study proposes a hybrid path planning framework integrating an improved Ant Colony Optimization(ACO)algorithm with an Orthogonal Jump Point Search(OJPS)algorithm.Firstly,a two-dimensional grid model is constructed to simulate urban environments,with key monitoring nodes selected based on grid-specific environmental risk values.Subsequently,the improved ACO algorithm is used for global path planning,and the OJPS algorithm is integrated to optimize the local path.The improved ACO algorithm introduces the risk value of environmental events,which is used to direct the UAV to the area with higher risk.In the OJPS algorithm,the path search direction is restricted to the orthogonal direction,which improves the computational efficiency of local path optimization.In order to evaluate the performance of the model,this paper utilizes the metrics of the average risk value of the path,the flight time,and the number of turns.The experimental results demonstrate that the proposed improved ACO algorithm performs well in the average risk value of the paths traveled within the first 5 min,within the first 8 min,and within the first 10 min,with improvements of 48.33%,26.10%,and 6.746%,respectively,over the Particle Swarm Optimization(PSO)algorithm and 70.33%,19.08%,and 10.246%,respectively,over theArtificial Rabbits Optimization(ARO)algorithm.TheOJPS algorithmdemonstrates superior performance in terms of flight time and number of turns,exhibiting a reduction of 40%,40%and 57.1%in flight time compared to the other three algorithms,and a reduction of 11.1%,11.1%and 33.8%in the number of turns compared to the other three algorithms.These results highlight the effectiveness of the proposed method in improving the UAV’s ability to respond efficiently to urban environmental events,offering significant implications for the future of UAV path planning in complex urban settings.
文摘Corporate environmental sustainability has become a critical concern,particularly in resource-intensive industries such as pharmaceuticals,where regulatory pressures and stakeholder expectations continue to rise.Despite increasing attention to green leadership,limited research has explored how environmentally responsible leadership(ERL)influences corporate environmental performance(CEP)through employee-driven sustainability behaviors.This study addresses this gap by examining the mediating roles of green knowledge-sharing behavior(GKSB),green innovative behavior(GIB),and voluntary green behavior(VGB),as well as the moderating role of green shared vision(GSV)in the ERL-CEP relationship.The study is grounded in Resource-Based View(RBV),Knowledge-Based View(KBV),Environmental-Based View(EBV),and Triple Bottom Line(TBL)theories,which collectively explain how leadership-driven sustainability efforts create long-term competitive advantages,drive environmental responsibility,and balance economic,social,and environmental sustainability.A quantitative research design was employed,using survey data from 384 employees in Bangladesh’s pharmaceutical sector.Data were analyzed using Partial Least Squares Structural Equation Modeling(PLS-SEM)in Smart-PLS 4.0 to assess direct,indirect,and moderating effects.The results confirm that ERL has a significant positive impact on CEP,with GKSB,GIB,and VGB acting as mediators,while GSV strengthens the ERL-CEP relationship.This study provides novel empirical evidence on the mechanisms linking green leadership to corporate sustainability,extending the application of RBV,KBV,EBV,and TBL to leadership-driven environmental management.The findings emphasize the importance of leadership training programs,sustainability-focused organizational cultures,and shared environmental visions.Policymakers should consider incentives for companies adopting ERL practices,ensuring that sustainability becomes a strategic,rather than compliance-driven,priority.This study contributes to leadership and sustainability literature by offering a comprehensive framework for integrating ERL into corporate governance and environmental strategies.
基金supported by the Leading Goose R&D Program of Zhejiang(No.2024C03230)the Fundamental Research Funds for the Central Universities。
文摘The zebrafish has emerged as a powerful model organism in life science owing to its remarkable biological characteristics and wide-ranging applications.This review provides a comprehensive overview of the recent advancements in research on zebrafish within the field of environmental toxicology,highlighting specific studies where this species was used to investigate various pollutants to elucidate their impacts and underlying mechanisms.The findings of these studies underscore the significant potential of zebrafish as a model to gain crucial insights into the ecological consequences of environmental contamination and toxicity pathways.By incorporating cutting-edge technologies such as artificial intelligence(Al),high-throughput screening,and omics approaches,the use of zebrafish as a model organism is poised to significantly accelerate toxicological investigations,promote environmental conservation efforts,contribute to safeguarding human health,and advance sustainable development objectives.
基金supported by the National Key R&D Program of China,No.2019YFA0110300(to ZG)the National Natural Science Foundation of China,Nos.81773302(to YF),32070862(to ZG).
文摘Human brain development is a complex process,and animal models often have significant limitations.To address this,researchers have developed pluripotent stem cell-derived three-dimensional structures,known as brain-like organoids,to more accurately model early human brain development and disease.To enable more consistent and intuitive reproduction of early brain development,in this study,we incorporated forebrain organoid culture technology into the traditional unguided method of brain organoid culture.This involved embedding organoids in matrigel for only 7 days during the rapid expansion phase of the neural epithelium and then removing them from the matrigel for further cultivation,resulting in a new type of human brain organoid system.This cerebral organoid system replicated the temporospatial characteristics of early human brain development,including neuroepithelium derivation,neural progenitor cell production and maintenance,neuron differentiation and migration,and cortical layer patterning and formation,providing more consistent and reproducible organoids for developmental modeling and toxicology testing.As a proof of concept,we applied the heavy metal cadmium to this newly improved organoid system to test whether it could be used to evaluate the neurotoxicity of environmental toxins.Brain organoids exposed to cadmium for 7 or 14 days manifested severe damage and abnormalities in their neurodevelopmental patterns,including bursts of cortical cell death and premature differentiation.Cadmium exposure caused progressive depletion of neural progenitor cells and loss of organoid integrity,accompanied by compensatory cell proliferation at ectopic locations.The convenience,flexibility,and controllability of this newly developed organoid platform make it a powerful and affordable alternative to animal models for use in neurodevelopmental,neurological,and neurotoxicological studies.
基金supported by the National Natural Science Foundation of China(No.51605054).
文摘Environmentalmonitoring systems based on remote sensing technology have a wider monitoringrange and longer timeliness, which makes them widely used in the detection andmanagement of pollution sources. However, haze weather conditions degrade image qualityand reduce the precision of environmental monitoring systems. To address this problem,this research proposes a remote sensing image dehazingmethod based on the atmosphericscattering model and a dark channel prior constrained network. The method consists ofa dehazing network, a dark channel information injection network (DCIIN), and a transmissionmap network. Within the dehazing network, the branch fusion module optimizesfeature weights to enhance the dehazing effect. By leveraging dark channel information,the DCIIN enables high-quality estimation of the atmospheric veil. To ensure the outputof the deep learning model aligns with physical laws, we reconstruct the haze image usingthe prediction results from the three networks. Subsequently, we apply the traditionalloss function and dark channel loss function between the reconstructed haze image and theoriginal haze image. This approach enhances interpretability and reliabilitywhile maintainingadherence to physical principles. Furthermore, the network is trained on a synthesizednon-homogeneous haze remote sensing dataset using dark channel information from cloudmaps. The experimental results show that the proposed network can achieve better imagedehazing on both synthetic and real remote sensing images with non-homogeneous hazedistribution. This research provides a new idea for solving the problem of decreased accuracyof environmental monitoring systems under haze weather conditions and has strongpracticability.
基金supported by the National Natural Science Foundation of China (Nos.52072152 and 51802126)Jiangsu University Jinshan Professor Fund,Jiangsu Specially-Appointed Professor Fund,the Open Fund from Guangxi Key Laboratory of Electrochemical Energy Materials,Zhenjiang“Jinshan Talents”Project 2021,China PostDoctoral Science Foundation (No.2022M721372)+1 种基金the“Doctor of Entrepreneurship and Innovation”in Jiangsu Province (No.JSSCBS20221197)the Postgraduate Research&Practice Innovation Program of Jiangsu Province (No.KYCX22_3645).
文摘In the quest for effective solutions to address Environ.Pollut.and meet the escalating energy demands,heterojunction photocatalysts have emerged as a captivating and versatile technology.These photocatalysts have garnered significant interest due to their wideranging applications,including wastewater treatment,air purification,CO_(2) capture,and hydrogen generation via water splitting.This technique harnesses the power of semiconductors,which are activated under light illumination,providing the necessary energy for catalytic reactions.With visible light constituting a substantial portion(46%)of the solar spectrum,the development of visible-light-driven semiconductors has become imperative.Heterojunction photocatalysts offer a promising strategy to overcome the limitations associated with activating semiconductors under visible light.In this comprehensive review,we present the recent advancements in the field of photocatalytic degradation of contaminants across diverse media,as well as the remarkable progress made in renewable energy production.Moreover,we delve into the crucial role played by various operating parameters in influencing the photocatalytic performance of heterojunction systems.Finally,we address emerging challenges and propose novel perspectives to provide valuable insights for future advancements in this dynamic research domain.By unraveling the potential of heterojunction photocatalysts,this reviewcontributes to the broader understanding of their applications and paves the way for exciting avenues of exploration and innovation.
基金supported by the National Natural Science Foundation of China(Nos.42077299,and U21A20290)the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDB0750400)the Ordos Key Research and Development Program(No.YF20240037).
文摘Persistent toxic substances(PTS)represent a paramount environmental issue in the 21st century.Understanding the concentrations and forms of PTS in the environment is crucial for accurately assessing their environmental health impacts.This article presents a concise overview of the components of PTS,pertinent environmental regulations,and conventional detection methodologies.Additionally,we offer an in-depth review of the principles,development,and practical applications of surface-enhanced Raman scattering(SERS)in environmental monitoring,emphasizing the advancements in detecting trace amounts of PTS in complex environmental matrices.Recent progress in enhancing SERS sensitivity,improving selectivity,and practical implementations are detailed,showcasing innovative materials and methods.Integrating SERS with advanced algorithms are highlighted as pivotal areas for future research.
基金supported by the National Natural Science Foundation of China (No.72091511)the Science Fund for Distinguished Young Scholars of Hebei Province (No.E2022402064).
文摘Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in China.As phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing phytoplankton communities and their growth influencing factors in polluted urban rivers can provide new ideas for pollution control.Here,we used direct microscopic count and environmental DNA(eDNA)metabarcoding methods to investigate phytoplankton community structure in Tuojiang River Basin(Chengdu,Sichuan Province,China).The association between phytoplankton community structure and water environmental factors was evaluated by Mantel analysis.Additional environmental monitoring data were used to pinpoint major factors that influenced phytoplankton growth based on structural equation modeling.At the phylum level,the dominant phytoplankton taxa identified by the conventional microscopic method mainly belonged to Bacillariophyta,Chlorophyta,and Cyanophyta,in contrast with Chlorophyta,Dinophyceae,and Bacillariophyta identified by eDNA metabarcoding.Inα-diversity analysis,eDNA metabarcoding detected greater species diversity and achieved higher precision than the microscopic method.Phytoplankton growth was largely limited by phosphorus based on the nitrogen-to-phosphorus ratios>16:1 in all water samples.Redundancy analysis and structural equation modeling also confirmed that the nitrogen-to-phosphorus ratio was the principal factor influencing phytoplankton growth.The results could be useful for implementing comprehensive management of the river basin environment.It is recommended to control the discharge of point-and surface-source pollutants and the concentration of dissolved oxygen in areas with excessive nutrients(e.g.,Jianyang-Ziyang).Algae monitoring techniques and removal strategies should be improved in 201 Hospital,Hongrihe Bridge and Colmar Town areas.
文摘Land use transformations in Sonipat District,Haryana,driven by urbanization,industrialization,and land acquisitions,have posed significant ecological and socio-economic challenges,particularly concerning food security.This study investigates the interplay between these land use changes and their environmental implications at macro(district)and micro(village)levels,focusing on agricultural productivity and resource sustainability.The study employs a mixed-method approach,integrating secondary data from official datasets and primary data gathered through structured household surveys,focus group discussions,and visual analysis techniques.Data from 20 villages,selected based on predominant land use characteristics,were analysed using statistical and geospatial tools,including ArcGIS and STATA,to quantify food grain losses and evaluate environmental degradation.Findings of this study reveal a 19%reduction in agricultural land over two decades(2000-2024),correlating with increased residential and industrial areas.Groundwater resources face severe overexploitation,with pollution from industrial clusters further degrading water and soil quality.The study estimates a total food grain loss of 1.5 million kilograms across surveyed villages due to land acquisitions.A strong positive correlation(R^(2)=0.98)between land acquisition and food loss underscores the direct impact of urbanization on agricultural output.The research underscores the urgency of sustainable land management practices,including preserving agricultural lands,optimizing groundwater usage,and enhancing community involvement in planning.By addressing these challenges,the study advocates for balanced urban expansion and food security to ensure ecological and economic resilience in the region.
基金supported by the National Key Research and Development Program of China(No.2023YFC3710000)the National Natural Science Foundation of China(Nos.42277078 and 42307118).
文摘Abandoned mines,especially pyrite-rich ones,release acid mine drainage(AMD)with high acidity and excessive amounts of heavy metals,threatening regional ecosystems.Six samples of mine drainage,nine samples of surface water,and twelve samples of sediment were analyzed in this case study of the Dashu pyrite mine in southwest China.A comprehensive analysis of the pollution levels,pollution sources,and potential hazards of eight metals(Ni,Cd,Cu,Zn,Fe,Al,Pb,and Mn)that exceeded regulatory standardswas conducted bymonitoring 24 conventional and characteristic indicators.Ultimately,this research evaluated the environmental hazards associated with abandonedmine water using the"pressure-response"model,thereby providing valuable insights for the effective protection of the environment in mining regions.The primary pollutants in mine water were determined to be SO_(4)^(2−),Fe,and Mn,with concentrations of 7700,1450,and 6.78mg/L,respectively.A clear"source-sink"dynamic was observed between themine water and the surrounding water system.surface water was primarily polluted by Ni and Mn,while water system sediments were primarily polluted by Cu and Hg.Ion ratio and Pearson correlation analyses indicated heavy metals in surface water and sediments originated from the same AMD source.The"pressureresponse"model was used to assess the environmental hazards of water from abandoned mines.Mines W1,W2,W5,and W6 were classified as high-risk,while W3 and W4 were medium-risk.This study offers a novel approach and valuable reference for identifying and classifying environmental risks in abandoned mines and targeting AMD treatment.
基金supported by the Key Research and Development Program of the Ministry of Science and Technology of China(grant number:2016YF0900605)the Key Research and Development Program of Hebei Province(grant number:192777129D)+1 种基金the Joint Fund for Iron and Steel of the Natural Science Foundation of Hebei Province(grant number:H2016209058)the National Natural Science Foundation for Regional Joint Fund of China(grant number:U22A20364)。
文摘Objective We aimed to investigate the patterns of fasting blood glucose(FBG)trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers.Methods The study cohort included 3,728 workers who met the selection criteria for the Tanggang Occupational Cohort(TGOC)between 2017 and 2022.A group-based trajectory model was used to identify the FBG trajectories.Environmental risk scores(ERS)were constructed using regression coefficients from the occupational hazard model as weights.Univariate and multivariate logistic regression analyses were performed to explore the effects of occupational hazard factors using the ERS on FBG trajectories.Results FBG trajectories were categorized into three groups.An association was observed between high temperature,noise exposure,and FBG trajectory(P<0.05).Using the first quartile group of ERS1 as a reference,the fourth quartile group of ERS1 had an increased risk of medium and high FBG by 1.90and 2.21 times,respectively(odds ratio[OR]=1.90,95%confidence interval[CI]:1.17–3.10;OR=2.21,95%CI:1.09–4.45).Conclusion An association was observed between occupational hazards based on ERS and FBG trajectories.The risk of FBG trajectory levels increase with an increase in ERS.
