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
This paper presents our endeavors in developing the large-scale, ultra-high-resolution E3SM Land Model (uELM), specifically designed for exascale computers furnished with accelerators such as Nvidia GPUs. The uELM is ...This paper presents our endeavors in developing the large-scale, ultra-high-resolution E3SM Land Model (uELM), specifically designed for exascale computers furnished with accelerators such as Nvidia GPUs. The uELM is a sophisticated code that substantially relies on High-Performance Computing (HPC) environments, necessitating particular machine and software configurations. To facilitate community-based uELM developments employing GPUs, we have created a portable, standalone software environment preconfigured with uELM input datasets, simulation cases, and source code. This environment, utilizing Docker, encompasses all essential code, libraries, and system software for uELM development on GPUs. It also features a functional unit test framework and an offline model testbed for comprehensive numerical experiments. From a technical perspective, the paper discusses GPU-ready container generations, uELM code management, and input data distribution across computational platforms. Lastly, the paper demonstrates the use of environment for functional unit testing, end-to-end simulation on CPUs and GPUs, and collaborative code development.展开更多
Focusing on investment security along the Belt and Road(B&R)routes,this study analyzes the geopolitical environment(GE)of countries(regions)along the B&R routes from two dimensions:political and business envir...Focusing on investment security along the Belt and Road(B&R)routes,this study analyzes the geopolitical environment(GE)of countries(regions)along the B&R routes from two dimensions:political and business environment(PBE)and political orientation.The results show that since the proposal of the B&R Initiative in 2013,the PBE of these countries(regions)has shown slight improvement but with significant spatial disparities,presenting a pattern of better conditions in the eastern and western regions and poorer conditions in the central regions.There is no strong spatial dependence in the PBE among these countries(regions),but a weak homogenization trend toward improvement is observed.Low-scoring countries(regions)are mainly located in former Commonwealth of Independent States(CIS),the Middle East,and the Indochina Peninsula.These countries(regions)exhibit weak interconnections,demonstrating a characteristic of“similarity without harmony.”(a Confucian concept describing nations sharing superficial traits but lacking substantive cooperation).Therefore,the B&R construction should adopt a clustered and contiguous breakthrough strategy.The evaluation of political orientation reveals significant political divergence among B&R countries(regions),with varying attitudes toward China.Moreover,as pro-China sentiment increases,the PBE tends to deteriorate.This negative correlation suggests that countries(regions)actively engaging in the B&R Initiative generally face political instability and economic underdevelopment,and seek to leverage the B&R Initiative for domestic growth.Consequently,while prioritizing investment security,it is important for the B&R construction to actively promote Chinese values in order to garner support and participation from countries(regions)with more favorable PBE.Given the generally underdeveloped PBE and political polarization among B&R countries(regions),China urgently needs to develop a geopolitical theory aligned with the B&R's geopolitical model to safeguard its advancement.Simultaneously,China should reshape geopolitical narratives to reclaim discourse power in political interpretation.This study provides preliminary insights into cross-country(regional)political polarization and contributes to advancing GE research.展开更多
Microorganisms actively participate in biogeochemical cycling processes and play a crucial role in maintaining the dynamic balance of hot spring ecosystems.However,the distribution of microbial functional genes and th...Microorganisms actively participate in biogeochemical cycling processes and play a crucial role in maintaining the dynamic balance of hot spring ecosystems.However,the distribution of microbial functional genes and their influencing factors in hot springs remain largely unclear.Therefore,this study investigated the microbial functional genes and their potential for controlling biogeochemical cycles(C,N,S,and P) in the hot Springs of Tengchong,China,using the Geochip method,a functional gene microarray technology.The examined hot springs have very different microbial functional genes.A total of 22 736 gene probe signals were identified,belonging to 567 functional genes and associated with 15 ecological functions,mainly involving stress response,carbon cycle,nitrogen cycle,sulfur cycle,phosphorus cycle and energy processes.The amyA,narG,dsrA and ppx genes were most abundant in carbon,nitrogen,sulfur and phosphorus cycles,respectively,and were significantly correlated with pH,temperature and SO_(4)^(2-).The diversity and abundance of detected gene probes were negatively correlated with temperature.The α-diversity(i.e.,Shannon index) was high at low temperature and low pH.Molecular functional interactions revealed by the gene connectivity levels were negatively correlated with temperature,pH and SO_(4)^(2-).These results suggested that the abundance,diversity and interactions of microbial functional genes were significantly influenced by geochemical parameters.-In addition,some genera possessed functional genes related to carbon,nitrogen,sulfur,and phosphorus cycles and can synergistically control the biogeochemical cycles of carbon,nitrogen,sulfur and phosphorus.These findings provide new insights into the functional potentials of microorganisms to participate in biogeochemical cycles and their responses to environmental factors in hot springs.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
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
The Qinghai-Tibet Plateau,with its high altitude and cold climate,is one of the most fragile ecological environments in China and is distinguished by its naturally elevated arsenic(As)levels in the soil,largely due to...The Qinghai-Tibet Plateau,with its high altitude and cold climate,is one of the most fragile ecological environments in China and is distinguished by its naturally elevated arsenic(As)levels in the soil,largely due to its rich mineral and geothermal resources.This review provides a comprehensive analysis of As content,focusing on its distribution,environmental migration,and transformation behavior across the plateau.The review further evaluates the distribution of As in different functional areas,revealing that geothermal fields(107.2 mg/kg),mining areas(53.8 mg/kg),and croplands(39.3 mg/kg)have the highest As concentrations,followed by river and lake sediments and adjacent areas(33.1 mg/kg).These elevated levels are primarily attributed to the presence of As-rich minerals,such as arsenopyrite and pyrite.Additionally,human activities,including mining and geothermal energy production,exacerbate the release of As into the environment.The review also highlights the role of localmicroorganisms,particularly those fromthe phyla Proteobacteria and Actinobacteria,which possess As metabolic genes that facilitate As translocation.Given the unique climatic conditions of the plateau,conventionalmethods for As controlmay not be fully effective.However,the review identifies promising remediation strategies that are environmentally adaptable,such as the use of local microorganisms,specific adsorbents,and integrated technologies,which offer potential solutions for managing and utilizing Ascontaminated soils on the plateau.展开更多
The authors regret that the affiliation b and c are wrong.Affiliation b should be changed to“School of Civil and Environmental Engineering,Harbin Institute of Technology,Shenzhen,China;Department of Data Analysis and...The authors regret that the affiliation b and c are wrong.Affiliation b should be changed to“School of Civil and Environmental Engineering,Harbin Institute of Technology,Shenzhen,China;Department of Data Analysis and Mathematical Modelling,Ghent University,Belgium”.And affiliation c should be changed to“State Key Laboratory of Urban Water Resource and Environment(SKLUWRE),School of Environment,Harbin Institute of Technology,China”.展开更多
Indoor environmental comfort is fundamental to human health as people spend 90%of their time indoors.This aspect is even more crucial in hospitals,where the concept of health is closely linked to well-being,ethics and...Indoor environmental comfort is fundamental to human health as people spend 90%of their time indoors.This aspect is even more crucial in hospitals,where the concept of health is closely linked to well-being,ethics and environmental aspects.Emerging methodologies and technologies such as digital twin,building information modelling,the internet of things,sensing technologies and data analytics offer new opportunities to ensure healthier environments and more efficient building management.This paper provides an assessment of how digitalisation can support decision-making processes related to maintaining high levels of indoor environmental comfort in hospital settings,particularly by analysing how real-time data processing and the application of machine learning can promote proactive interventions in these facilities.The methodological approach was based on four phases:defining the objectives of the digital twin,identifying the input data to build and feed the digital model,defining the KPIs to evaluate the system's correct functioning and identifying the enabling technologies to be integrated into the system to achieve the set goal.The result is a digital twin for managing the operating room and its related services,with the aim of guiding decisions based on accurate data and improving operational efficiency,levels of environmental comfort,and safety regarding the diffusion of medical gases.展开更多
Air pollution is a major challenge to the improvement of urban environmental quality.The control of air pollution still faces severe challenges,especially in developing countries,such as ozone pollution control.Ozone ...Air pollution is a major challenge to the improvement of urban environmental quality.The control of air pollution still faces severe challenges,especially in developing countries,such as ozone pollution control.Ozone is a typical secondary air pollutant,and its formation chemistry from its precursors(NOx and volatile organic compounds)is highly nonlinear,which caused the emission reduction of its precursors is not always effective and therefore new assisted approaches to control of ozone pollution are needed.Photocatalysis and ambient catalysis technology are expected to be applied in open atmosphere as a new booster to the direct purification of air pollutants in emission sources.In this perspective,we summarize the current knowledge about the photocatalysis and ambient catalysis technology for the removal of air pollutants under natural photothermal conditions.Based on these technologies,we propose the concept of“Environmental Catalytic City”,which refers to the spontaneous purification of low concentration urban air pollutants in the atmosphere by catalytic materials coating on the artificial surfaces,such as building surfaces in the city.In this way,the urban city with self-purification function can remove air pollution without additional energy consumption.The further improvement,development,and application of the“Environmental Catalytic City”is also discussed.展开更多
Herbaceous plants are an essential component of forest diversity and driver of ecosystem processes.However,because the growth forms and life-history strategies of herbaceous plants differ from those of woody plants,it...Herbaceous plants are an essential component of forest diversity and driver of ecosystem processes.However,because the growth forms and life-history strategies of herbaceous plants differ from those of woody plants,it is unclear whether the mechanisms that drive patterns plant diversity and community structure in these two plant groups are the same.In this study,we determined whether herb and woody plant communities have similar patterns and drivers of alpha-and beta-diversity.We compared species richness,distribution,and abundance of herbs to woody seedlings in a 20-ha Donglingshan warmtemperate forest(Donglingshan FDP),China.We also determined whether variation in patterns of species richness and composition are better explained by environmental or spatial variables.Herbaceous plants accounted for 72%of all species(81 herbaceous,31 woody)recorded.Alpha-and beta-diversity were higher in herbs than in woody seedlings.Although alpha-diversity of herbs and woody seedlings was not correlated across the site,the local-site contributions to beta-diversity for herbs and woody seedlings were negatively correlated.Habitat type explained slightly more variation in herb community composition than in woody seedling composition,with the highest diversity in the low-elevation slope.Environmental variables explained the variation in species richness and composition more in herbaceous plants than in woody seedlings.Our results indicate that different mechanisms drive variation in the herb and woody seedling communities,with herbs exhibiting greater environmental sensitivity and habitat dependence.These findings contribute to the better understanding of herbaceous plant diversity and composition in forest communities.展开更多
Reservoirs play a critical role in addressing water resources challenges.However,their vertical influence on the assembly mechanisms of different microbial communities,including prokaryotes and eukaryotes,remains uncl...Reservoirs play a critical role in addressing water resources challenges.However,their vertical influence on the assembly mechanisms of different microbial communities,including prokaryotes and eukaryotes,remains unclear.This study examined the vertical diversity patterns of abundant and rare subcommunities of prokaryotes and eukaryotes in an urban reservoir,using water depth as a geographical gradient and employing high-throughput sequencing.The impact of vertical environmental heterogeneity on community structure was quantified,and key drivers of these dynamics were identified.The results indicated that the urban reservoir exhibited statistically significant differences in the vertical distribution of water temperature and oxidation/reduction potential.The a-diversity of the abundant subcommunity displayed an opposing vertical pattern compared to that of the rare subcommunity,while the b-diversity for both subcommunities of prokaryotes and eukaryotes increased with water depth.Moreover,the distinct diversity patterns of abundant and rare subcommunities were associated with environmental heterogeneity and species adaptability.Notably,the b-diversity of the rare subcommunity of eukaryotes was primarily driven by species turnover in surface water,whereas nestedness became the dominant factor in deeper water.Furthermore,eukaryotic microbes exhibited a more pronounced response to changes in water depth than prokaryotes,consistent with the importance of heterogeneous selection to the eukaryotic community.Water temperature significantly affected the community composition of all groups,highlighting its importance in shaping community dynamics.This study provides valuable insights into the vertical distribution and assembly mechanisms of microbial communities in urban reservoirs,contributing to the protection and management of aquatic ecosystems under river regulation.展开更多
Electroplating sludge(ES),a byproduct of the electroplating industry,is a significant environmental concern due to its high content of soluble heavy metals(HMs).The significance of spinel formation from ES lies in its...Electroplating sludge(ES),a byproduct of the electroplating industry,is a significant environmental concern due to its high content of soluble heavy metals(HMs).The significance of spinel formation from ES lies in its potential for HMs enrichment and environmental remediation,offering a sustainable solution for hazardous waste management.The article delves into themultifaceted recycling of HMs-rich spinel fromES,encompassing its synthesis,metal enrichment,and thermodynamic stability.The pyro-metallurgical and hydrometallurgical processes for spinel synthesis were discussed,with a focus on the critical role of thermodynamic data in predicting the stability and formation of spinel structures.The crystallographic and magnetic properties of spinels,with their applications in environmental remediation and energy storage are highlighted.The article provides a comprehensive reviewon the recycling of HMs-rich spinel fromES,offering a means to recycle HMs,mitigate ecological harm,and contribute to a circular economy through the recovery and application of valuable materials.The selective leaching of metals from ES also faces challenges,which was limited by the separation,purification steps and high energy consumption.This high energy consumption is a significant operational cost and also contributes to environmental concerns related to carbon emissions.It is essential to address the challenges through continued research and development,improved technologies,and supportive regulatory frameworks.展开更多
Regular quantitative assessments of regional ecological environment quality(EEQ)and driving force analyses are highly important for environmental protection and sustainable development.Northern China is a typical clim...Regular quantitative assessments of regional ecological environment quality(EEQ)and driving force analyses are highly important for environmental protection and sustainable development.Northern China is a typical climate-sensitive and ecologically vulnerable area,however,the changes in EEQ in this region and their underlying causes remain unclear.Traditional evaluations of EEQ rely primarily on the remote sensing ecological index(RSEI),which lacks assessments of indicators such as greenness(NDVI),humidity(WET),heat(LST),and dryness(NDBSI).To address these issues,this study employs the principal component analysis method and the Google Earth Engine to construct an RSEI suitable for long-term and large-scale applications and analyzes the spatio-temporal variations in the RSEI,NDVI,WET,NDBSI,and LST.Additionally,geographical detectors are utilized to analyze the driving factors affecting EEQ.The results indicate the following.(1)The RSEI shows a fluctuating upward trend,with an average value of 0.4566,indicating a gradual improvement in EEQ.The EEQ exhibited significant spatial heterogeneity,with a pattern of lower values in the west and higher values in the east.(2)The NDVI and WET exhibit fluctuating increasing trends,indicating improvements in both indices.The NDBSI shows a fluctuating decreasing trend,whereas the LST presents a fluctuating increasing trend,suggesting an improvement in the NDBSI and a slight deterioration in the LST.NDVI and WET demonstrate a spatial pattern characterized by low values in the west and high values in the east.NDBSI and LST demonstrate a spatial pattern characterized by low values in the east and high values in the west.(3)Land use types and precipitation are the primary driving factors influencing the spatial differentiation of the EEQ.The explanatory power of these driving factors significantly increases under their interactions,particularly the interaction between land use types and other driving factors.This study fills the gap in existing EEQ evaluations that analyze only the RSEI without considering the NDVI,WET,NDBSI,and LST.The findings provide new insights for EEQ assessments and serve as a scientific reference for environmental protection and sustainable development.展开更多
During times of war, it is rare to find a government willing and able to require the military to fund and support environmental impact studies. In the 1960s, many United States scientists expressed concerns about the ...During times of war, it is rare to find a government willing and able to require the military to fund and support environmental impact studies. In the 1960s, many United States scientists expressed concerns about the use of herbicides during the Vietnam War. This protest was led by Dr. Arthur Galston and eventually included scientists with the National Academy of Science. By 1970, the Department of Defense (DoD) was ordered to permit the scientists to visit South Vietnam during the war to document these impacts. In all 1500 scientist days were spent in South Vietnam. In addition, the US government and military funded research studies on the impact of herbicides on animals. The goal of military use of herbicides, as chemical weapons, was to defoliate jungle forests and destroy food crops as a strategy to win battles and the war. The primary objective of this research study is to describe how it is possible for a country to fund and carry out scientific studies during the conduct of a war rather than decades later. The environmental impact study findings often lack boots on the ground validation and can be inaccurate or misleading in some situations. The United States (US) and other countries, including Russia and Ukraine, need to learn the historical lessons from the US use of herbicides, containing dioxin TCDD and/or arsenic (As), as chemical weapons during the Vietnam War.展开更多
Reasonable greening design can effectively alleviate campus heat environment issues.This study uses the ENVI-met numerical model,along with in-situ observations and simulations,to analyze the thermal environment under...Reasonable greening design can effectively alleviate campus heat environment issues.This study uses the ENVI-met numerical model,along with in-situ observations and simulations,to analyze the thermal environment under three different greening schemes in typical areas of the Guangzhou University campus.The results indicate that the outdoor thermal environment is significantly influenced by the underlying surface materials and vegetation.The temperature of brick-paved surface is 0.9℃higher than that of natural soil surfaces under tree shade.Numerical simulations further confirm that increasing vegetation coverage effectively reduces outdoor air temperature.When the greening rate increases to 40%,the outdoor average temperature decreases by 0.7℃and relative humidity increases by approximately 4%,while wind speed remains minimal change.The cooling effect of vegetation is found to extend vertically to an altitude of 13 m.As the greening rate increases from 15%to 40%,the Mean Radiant Temperature(MRT)decreases from 50.6℃to 28.9℃,which is lower than the average ambient temperature,indicating improved thermal conditions.The Physiological Equivalent Temperature(PET)decreases from 40.2℃to 30.0℃,with the proportion of the areas classified as″very hot″reducing by 36.8%,significantly improving thermal comfort across most areas.Therefore,changing the ground material and greening landscape design can effectively alter the outdoor wind and thermal environment of the campus,thereby enhancing the thermal comfort for the campus community.展开更多
This comprehensive review synthesizes findings from the studies conducted for more than two decades to assess en-vironmental and human health impacts near Spain's first hazardous waste incinerator(HWI)located in C...This comprehensive review synthesizes findings from the studies conducted for more than two decades to assess en-vironmental and human health impacts near Spain's first hazardous waste incinerator(HWI)located in Constantí(Tarra-gona,Catalonia).Through integrated analysis of polychlorinated dibenzo-p-dioxins/furans(PCDD/Fs)and metals across soil,vegetation,human tissues,and dietary matrices,the studies have shown:(1)PCDD/F concentrations decreased 75-96%in biological samples and dietary intake over 20 years,aligning with global emission reductions rather than HWI-4 operations;(2)metal trajectories showed arsenic intermittently exceeding carcinogenic thresholds in soils(1.1×10^(-4) risk index)and chromium accumulating in autopsy tissues(+16% in kidney),although without HWI-specific spatial gradi-ents;(3)systemic biomarkers revealed policy-driven declines—blood lead dropped 70% post-EU regulations,while mer-cury became undetectable in tissues post-2010.Health risk assessments confirmed that PCDD/F intake(0.122 pg WHO-TEQ/kg/day)remained still below WHO thresholds,with no attributable cancer risks for metals except legacy arsenic.The studies included in the program of surveillance show that PCDD/Fs and metals emissions by the HWI have meant a rather low contribution to population exposure to metals and PCDD/Fs compared to dietary and historical sources.How-ever,residual risks warrant attention.It mainly concerns chromium speciation and arsenic in soils,as well as the effects on vulnerable subpopulations and the synergistic effects among toxicants.Epidemiological studies are also required.展开更多
Pharmaceutical-Food Homologous Plant-Derived Carbon Dots (P-CDs) have emerged as revolutionary nanomaterials in environmental pollutant management, demonstrating transformative potential for green chemistry and sustai...Pharmaceutical-Food Homologous Plant-Derived Carbon Dots (P-CDs) have emerged as revolutionary nanomaterials in environmental pollutant management, demonstrating transformative potential for green chemistry and sustainable material applications. These carbon dots establish an innovative technical framework by integrating dual "detection-remediation" functionalities through eco-friendly synthesis and high-value conversion of medicinal-edible plants and agroforestry waste. Their core advantages originate from structural templating effects induced by natural functional groups (polyphenols, amino acids) in plant precursors combined with heteroatom self-doping, which synergistically optimizes optical properties. This combination achieves quantum yields ranging from 3.06% to 84.9% and detection sensitivities spanning nanomolar to micromolar concentrations. In pollutant detection applications, P-CDs enable ultrasensitive identification of heavy metals (Hg^(2+) , Cu^(2+) , Fe^(3+) ) and organic contaminants (pesticides, antibiotics) through multi-mechanistic interactions including static quenching (SQ), dynamic quenching (DQ), and F rster resonance energy transfer (FRET). However, technological translation faces critical challenges including quantum yield heterogeneity (>40-fold variation), matrix interference in complex environmental samples (signal drift exceeding 12%), and scalability-related process inconsistencies. Future research priorities should focus on three key areas: standardization of synthesis protocols, development of surface passivation strategies ( e.g. , SiO_(2) encapsulation), and optimization of heterojunction designs to enhance interference resistance. The integration of in situ characterization techniques (particularly X-ray absorption spectroscopy) with machine learning-driven parameter optimization could significantly refine detection-remediation synergies. Concurrently, establishing a comprehensive lifecycle assessment framework becomes imperative for evaluating environmental impacts and scalability potential. This technology pioneers a sustainable paradigm for pollution control by bridging the gap between nanomaterial innovation and industrial deployment, thereby accelerating progress toward global ecological security objectives.展开更多
To develop more efficient catalysts and discover new materials to work towards efficient solutions to the growing environmental problems,machine learning(ML)offers viable new ideas.Due to its ability to process large-...To develop more efficient catalysts and discover new materials to work towards efficient solutions to the growing environmental problems,machine learning(ML)offers viable new ideas.Due to its ability to process large-scale data and mine underlying patterns,ML has been widely used in the design and development of materials in recent years.The purpose of this manuscript is to summarize the research progress of ML to guide the development of materials in the environmental field and open new horizons for environmental pollution control.This manuscript firstly details the basic ML definitions and operational procedures.Secondly,it summarizes the main ways of applying ML in materials.Then it unfolds to introduce the specific application examples of ML in different materials.Finally,we summarize the shortcomings and research trends of ML in predicting material design.展开更多
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This paper presents our endeavors in developing the large-scale, ultra-high-resolution E3SM Land Model (uELM), specifically designed for exascale computers furnished with accelerators such as Nvidia GPUs. The uELM is a sophisticated code that substantially relies on High-Performance Computing (HPC) environments, necessitating particular machine and software configurations. To facilitate community-based uELM developments employing GPUs, we have created a portable, standalone software environment preconfigured with uELM input datasets, simulation cases, and source code. This environment, utilizing Docker, encompasses all essential code, libraries, and system software for uELM development on GPUs. It also features a functional unit test framework and an offline model testbed for comprehensive numerical experiments. From a technical perspective, the paper discusses GPU-ready container generations, uELM code management, and input data distribution across computational platforms. Lastly, the paper demonstrates the use of environment for functional unit testing, end-to-end simulation on CPUs and GPUs, and collaborative code development.
基金CAS-ANSO Sustainable Development Research Project,No.CAS-ANSO-SDRP-2024-08National Natural Science Foundation of China,No.42071153,No.41101119。
文摘Focusing on investment security along the Belt and Road(B&R)routes,this study analyzes the geopolitical environment(GE)of countries(regions)along the B&R routes from two dimensions:political and business environment(PBE)and political orientation.The results show that since the proposal of the B&R Initiative in 2013,the PBE of these countries(regions)has shown slight improvement but with significant spatial disparities,presenting a pattern of better conditions in the eastern and western regions and poorer conditions in the central regions.There is no strong spatial dependence in the PBE among these countries(regions),but a weak homogenization trend toward improvement is observed.Low-scoring countries(regions)are mainly located in former Commonwealth of Independent States(CIS),the Middle East,and the Indochina Peninsula.These countries(regions)exhibit weak interconnections,demonstrating a characteristic of“similarity without harmony.”(a Confucian concept describing nations sharing superficial traits but lacking substantive cooperation).Therefore,the B&R construction should adopt a clustered and contiguous breakthrough strategy.The evaluation of political orientation reveals significant political divergence among B&R countries(regions),with varying attitudes toward China.Moreover,as pro-China sentiment increases,the PBE tends to deteriorate.This negative correlation suggests that countries(regions)actively engaging in the B&R Initiative generally face political instability and economic underdevelopment,and seek to leverage the B&R Initiative for domestic growth.Consequently,while prioritizing investment security,it is important for the B&R construction to actively promote Chinese values in order to garner support and participation from countries(regions)with more favorable PBE.Given the generally underdeveloped PBE and political polarization among B&R countries(regions),China urgently needs to develop a geopolitical theory aligned with the B&R's geopolitical model to safeguard its advancement.Simultaneously,China should reshape geopolitical narratives to reclaim discourse power in political interpretation.This study provides preliminary insights into cross-country(regional)political polarization and contributes to advancing GE research.
基金supported by grants from the National Natural Science Foundation of China(Nos.42172339,91951205)。
文摘Microorganisms actively participate in biogeochemical cycling processes and play a crucial role in maintaining the dynamic balance of hot spring ecosystems.However,the distribution of microbial functional genes and their influencing factors in hot springs remain largely unclear.Therefore,this study investigated the microbial functional genes and their potential for controlling biogeochemical cycles(C,N,S,and P) in the hot Springs of Tengchong,China,using the Geochip method,a functional gene microarray technology.The examined hot springs have very different microbial functional genes.A total of 22 736 gene probe signals were identified,belonging to 567 functional genes and associated with 15 ecological functions,mainly involving stress response,carbon cycle,nitrogen cycle,sulfur cycle,phosphorus cycle and energy processes.The amyA,narG,dsrA and ppx genes were most abundant in carbon,nitrogen,sulfur and phosphorus cycles,respectively,and were significantly correlated with pH,temperature and SO_(4)^(2-).The diversity and abundance of detected gene probes were negatively correlated with temperature.The α-diversity(i.e.,Shannon index) was high at low temperature and low pH.Molecular functional interactions revealed by the gene connectivity levels were negatively correlated with temperature,pH and SO_(4)^(2-).These results suggested that the abundance,diversity and interactions of microbial functional genes were significantly influenced by geochemical parameters.-In addition,some genera possessed functional genes related to carbon,nitrogen,sulfur,and phosphorus cycles and can synergistically control the biogeochemical cycles of carbon,nitrogen,sulfur and phosphorus.These findings provide new insights into the functional potentials of microorganisms to participate in biogeochemical cycles and their responses to environmental factors in hot springs.
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.
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 Central Public-interest Scientific Institution Basal Research Fund(No.Y2024QC29)the Central Public-interest Scientific Institution Basal Research Fund(Nos.2024-jbkyywf-lwj and 2024-jbkyywf-zyj).
文摘The Qinghai-Tibet Plateau,with its high altitude and cold climate,is one of the most fragile ecological environments in China and is distinguished by its naturally elevated arsenic(As)levels in the soil,largely due to its rich mineral and geothermal resources.This review provides a comprehensive analysis of As content,focusing on its distribution,environmental migration,and transformation behavior across the plateau.The review further evaluates the distribution of As in different functional areas,revealing that geothermal fields(107.2 mg/kg),mining areas(53.8 mg/kg),and croplands(39.3 mg/kg)have the highest As concentrations,followed by river and lake sediments and adjacent areas(33.1 mg/kg).These elevated levels are primarily attributed to the presence of As-rich minerals,such as arsenopyrite and pyrite.Additionally,human activities,including mining and geothermal energy production,exacerbate the release of As into the environment.The review also highlights the role of localmicroorganisms,particularly those fromthe phyla Proteobacteria and Actinobacteria,which possess As metabolic genes that facilitate As translocation.Given the unique climatic conditions of the plateau,conventionalmethods for As controlmay not be fully effective.However,the review identifies promising remediation strategies that are environmentally adaptable,such as the use of local microorganisms,specific adsorbents,and integrated technologies,which offer potential solutions for managing and utilizing Ascontaminated soils on the plateau.
文摘The authors regret that the affiliation b and c are wrong.Affiliation b should be changed to“School of Civil and Environmental Engineering,Harbin Institute of Technology,Shenzhen,China;Department of Data Analysis and Mathematical Modelling,Ghent University,Belgium”.And affiliation c should be changed to“State Key Laboratory of Urban Water Resource and Environment(SKLUWRE),School of Environment,Harbin Institute of Technology,China”.
基金supported by Agenzia Del Demanio(Grant 0002716).
文摘Indoor environmental comfort is fundamental to human health as people spend 90%of their time indoors.This aspect is even more crucial in hospitals,where the concept of health is closely linked to well-being,ethics and environmental aspects.Emerging methodologies and technologies such as digital twin,building information modelling,the internet of things,sensing technologies and data analytics offer new opportunities to ensure healthier environments and more efficient building management.This paper provides an assessment of how digitalisation can support decision-making processes related to maintaining high levels of indoor environmental comfort in hospital settings,particularly by analysing how real-time data processing and the application of machine learning can promote proactive interventions in these facilities.The methodological approach was based on four phases:defining the objectives of the digital twin,identifying the input data to build and feed the digital model,defining the KPIs to evaluate the system's correct functioning and identifying the enabling technologies to be integrated into the system to achieve the set goal.The result is a digital twin for managing the operating room and its related services,with the aim of guiding decisions based on accurate data and improving operational efficiency,levels of environmental comfort,and safety regarding the diffusion of medical gases.
基金the support of the National Natural Science Foundation of China(NSFC)(Nos.52425003,22188102,and 52400144)the Project funded by China Postdoctoral Science Foundation(Nos.BX20220325 and 2023M743707)the Youth Innovation Promotion Association,CAS(Nos.Y2021020 and Y2022023).
文摘Air pollution is a major challenge to the improvement of urban environmental quality.The control of air pollution still faces severe challenges,especially in developing countries,such as ozone pollution control.Ozone is a typical secondary air pollutant,and its formation chemistry from its precursors(NOx and volatile organic compounds)is highly nonlinear,which caused the emission reduction of its precursors is not always effective and therefore new assisted approaches to control of ozone pollution are needed.Photocatalysis and ambient catalysis technology are expected to be applied in open atmosphere as a new booster to the direct purification of air pollutants in emission sources.In this perspective,we summarize the current knowledge about the photocatalysis and ambient catalysis technology for the removal of air pollutants under natural photothermal conditions.Based on these technologies,we propose the concept of“Environmental Catalytic City”,which refers to the spontaneous purification of low concentration urban air pollutants in the atmosphere by catalytic materials coating on the artificial surfaces,such as building surfaces in the city.In this way,the urban city with self-purification function can remove air pollution without additional energy consumption.The further improvement,development,and application of the“Environmental Catalytic City”is also discussed.
基金financially supported by the NSF of China(3227161431870408)+3 种基金Biological Resources Programme,Chinese Academy of SciencesState Key Laboratory of Vegetation and Environmental Change of China(Y7206F1016)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB31030000)National key basic R&D program of China(2017YFA0605100).
文摘Herbaceous plants are an essential component of forest diversity and driver of ecosystem processes.However,because the growth forms and life-history strategies of herbaceous plants differ from those of woody plants,it is unclear whether the mechanisms that drive patterns plant diversity and community structure in these two plant groups are the same.In this study,we determined whether herb and woody plant communities have similar patterns and drivers of alpha-and beta-diversity.We compared species richness,distribution,and abundance of herbs to woody seedlings in a 20-ha Donglingshan warmtemperate forest(Donglingshan FDP),China.We also determined whether variation in patterns of species richness and composition are better explained by environmental or spatial variables.Herbaceous plants accounted for 72%of all species(81 herbaceous,31 woody)recorded.Alpha-and beta-diversity were higher in herbs than in woody seedlings.Although alpha-diversity of herbs and woody seedlings was not correlated across the site,the local-site contributions to beta-diversity for herbs and woody seedlings were negatively correlated.Habitat type explained slightly more variation in herb community composition than in woody seedling composition,with the highest diversity in the low-elevation slope.Environmental variables explained the variation in species richness and composition more in herbaceous plants than in woody seedlings.Our results indicate that different mechanisms drive variation in the herb and woody seedling communities,with herbs exhibiting greater environmental sensitivity and habitat dependence.These findings contribute to the better understanding of herbaceous plant diversity and composition in forest communities.
基金supported by the Key Program of the National Natural Science Foundation of China(Grant No.92047201)the Fundamental Research Funds for the Central Universities(Grant No.B230201026)+1 种基金the National Natural Science Foundation of China(Grants No.42377054 and 42007149)the Open Project of Jiangsu Key Laboratory for Eco-Agricultural Biotechnology around Hongze Lake(Grant No.HZHLAB2301).
文摘Reservoirs play a critical role in addressing water resources challenges.However,their vertical influence on the assembly mechanisms of different microbial communities,including prokaryotes and eukaryotes,remains unclear.This study examined the vertical diversity patterns of abundant and rare subcommunities of prokaryotes and eukaryotes in an urban reservoir,using water depth as a geographical gradient and employing high-throughput sequencing.The impact of vertical environmental heterogeneity on community structure was quantified,and key drivers of these dynamics were identified.The results indicated that the urban reservoir exhibited statistically significant differences in the vertical distribution of water temperature and oxidation/reduction potential.The a-diversity of the abundant subcommunity displayed an opposing vertical pattern compared to that of the rare subcommunity,while the b-diversity for both subcommunities of prokaryotes and eukaryotes increased with water depth.Moreover,the distinct diversity patterns of abundant and rare subcommunities were associated with environmental heterogeneity and species adaptability.Notably,the b-diversity of the rare subcommunity of eukaryotes was primarily driven by species turnover in surface water,whereas nestedness became the dominant factor in deeper water.Furthermore,eukaryotic microbes exhibited a more pronounced response to changes in water depth than prokaryotes,consistent with the importance of heterogeneous selection to the eukaryotic community.Water temperature significantly affected the community composition of all groups,highlighting its importance in shaping community dynamics.This study provides valuable insights into the vertical distribution and assembly mechanisms of microbial communities in urban reservoirs,contributing to the protection and management of aquatic ecosystems under river regulation.
基金supported by the National Natural Science Foundation of China(Nos.52370158 and 22006053)Guangzhou Science and Technology Plan Project(No.2024A04J0821)Guangdong Provincial Education Science Planning Project(Higher Education Special Project)(No.2023GXJK108).
文摘Electroplating sludge(ES),a byproduct of the electroplating industry,is a significant environmental concern due to its high content of soluble heavy metals(HMs).The significance of spinel formation from ES lies in its potential for HMs enrichment and environmental remediation,offering a sustainable solution for hazardous waste management.The article delves into themultifaceted recycling of HMs-rich spinel fromES,encompassing its synthesis,metal enrichment,and thermodynamic stability.The pyro-metallurgical and hydrometallurgical processes for spinel synthesis were discussed,with a focus on the critical role of thermodynamic data in predicting the stability and formation of spinel structures.The crystallographic and magnetic properties of spinels,with their applications in environmental remediation and energy storage are highlighted.The article provides a comprehensive reviewon the recycling of HMs-rich spinel fromES,offering a means to recycle HMs,mitigate ecological harm,and contribute to a circular economy through the recovery and application of valuable materials.The selective leaching of metals from ES also faces challenges,which was limited by the separation,purification steps and high energy consumption.This high energy consumption is a significant operational cost and also contributes to environmental concerns related to carbon emissions.It is essential to address the challenges through continued research and development,improved technologies,and supportive regulatory frameworks.
基金National Natural Science Foundation of China,No.41971268。
文摘Regular quantitative assessments of regional ecological environment quality(EEQ)and driving force analyses are highly important for environmental protection and sustainable development.Northern China is a typical climate-sensitive and ecologically vulnerable area,however,the changes in EEQ in this region and their underlying causes remain unclear.Traditional evaluations of EEQ rely primarily on the remote sensing ecological index(RSEI),which lacks assessments of indicators such as greenness(NDVI),humidity(WET),heat(LST),and dryness(NDBSI).To address these issues,this study employs the principal component analysis method and the Google Earth Engine to construct an RSEI suitable for long-term and large-scale applications and analyzes the spatio-temporal variations in the RSEI,NDVI,WET,NDBSI,and LST.Additionally,geographical detectors are utilized to analyze the driving factors affecting EEQ.The results indicate the following.(1)The RSEI shows a fluctuating upward trend,with an average value of 0.4566,indicating a gradual improvement in EEQ.The EEQ exhibited significant spatial heterogeneity,with a pattern of lower values in the west and higher values in the east.(2)The NDVI and WET exhibit fluctuating increasing trends,indicating improvements in both indices.The NDBSI shows a fluctuating decreasing trend,whereas the LST presents a fluctuating increasing trend,suggesting an improvement in the NDBSI and a slight deterioration in the LST.NDVI and WET demonstrate a spatial pattern characterized by low values in the west and high values in the east.NDBSI and LST demonstrate a spatial pattern characterized by low values in the east and high values in the west.(3)Land use types and precipitation are the primary driving factors influencing the spatial differentiation of the EEQ.The explanatory power of these driving factors significantly increases under their interactions,particularly the interaction between land use types and other driving factors.This study fills the gap in existing EEQ evaluations that analyze only the RSEI without considering the NDVI,WET,NDBSI,and LST.The findings provide new insights for EEQ assessments and serve as a scientific reference for environmental protection and sustainable development.
文摘During times of war, it is rare to find a government willing and able to require the military to fund and support environmental impact studies. In the 1960s, many United States scientists expressed concerns about the use of herbicides during the Vietnam War. This protest was led by Dr. Arthur Galston and eventually included scientists with the National Academy of Science. By 1970, the Department of Defense (DoD) was ordered to permit the scientists to visit South Vietnam during the war to document these impacts. In all 1500 scientist days were spent in South Vietnam. In addition, the US government and military funded research studies on the impact of herbicides on animals. The goal of military use of herbicides, as chemical weapons, was to defoliate jungle forests and destroy food crops as a strategy to win battles and the war. The primary objective of this research study is to describe how it is possible for a country to fund and carry out scientific studies during the conduct of a war rather than decades later. The environmental impact study findings often lack boots on the ground validation and can be inaccurate or misleading in some situations. The United States (US) and other countries, including Russia and Ukraine, need to learn the historical lessons from the US use of herbicides, containing dioxin TCDD and/or arsenic (As), as chemical weapons during the Vietnam War.
基金Science and Technology Research Project of Guang-dong Meteorological Bureau(GRMC2022M21)Guangdong Basic and Applied Basic Research Foundation(2023A1515012240)Research Project of Guangzhou Meteor-ological Bureau(M202218)。
文摘Reasonable greening design can effectively alleviate campus heat environment issues.This study uses the ENVI-met numerical model,along with in-situ observations and simulations,to analyze the thermal environment under three different greening schemes in typical areas of the Guangzhou University campus.The results indicate that the outdoor thermal environment is significantly influenced by the underlying surface materials and vegetation.The temperature of brick-paved surface is 0.9℃higher than that of natural soil surfaces under tree shade.Numerical simulations further confirm that increasing vegetation coverage effectively reduces outdoor air temperature.When the greening rate increases to 40%,the outdoor average temperature decreases by 0.7℃and relative humidity increases by approximately 4%,while wind speed remains minimal change.The cooling effect of vegetation is found to extend vertically to an altitude of 13 m.As the greening rate increases from 15%to 40%,the Mean Radiant Temperature(MRT)decreases from 50.6℃to 28.9℃,which is lower than the average ambient temperature,indicating improved thermal conditions.The Physiological Equivalent Temperature(PET)decreases from 40.2℃to 30.0℃,with the proportion of the areas classified as″very hot″reducing by 36.8%,significantly improving thermal comfort across most areas.Therefore,changing the ground material and greening landscape design can effectively alter the outdoor wind and thermal environment of the campus,thereby enhancing the thermal comfort for the campus community.
文摘This comprehensive review synthesizes findings from the studies conducted for more than two decades to assess en-vironmental and human health impacts near Spain's first hazardous waste incinerator(HWI)located in Constantí(Tarra-gona,Catalonia).Through integrated analysis of polychlorinated dibenzo-p-dioxins/furans(PCDD/Fs)and metals across soil,vegetation,human tissues,and dietary matrices,the studies have shown:(1)PCDD/F concentrations decreased 75-96%in biological samples and dietary intake over 20 years,aligning with global emission reductions rather than HWI-4 operations;(2)metal trajectories showed arsenic intermittently exceeding carcinogenic thresholds in soils(1.1×10^(-4) risk index)and chromium accumulating in autopsy tissues(+16% in kidney),although without HWI-specific spatial gradi-ents;(3)systemic biomarkers revealed policy-driven declines—blood lead dropped 70% post-EU regulations,while mer-cury became undetectable in tissues post-2010.Health risk assessments confirmed that PCDD/F intake(0.122 pg WHO-TEQ/kg/day)remained still below WHO thresholds,with no attributable cancer risks for metals except legacy arsenic.The studies included in the program of surveillance show that PCDD/Fs and metals emissions by the HWI have meant a rather low contribution to population exposure to metals and PCDD/Fs compared to dietary and historical sources.How-ever,residual risks warrant attention.It mainly concerns chromium speciation and arsenic in soils,as well as the effects on vulnerable subpopulations and the synergistic effects among toxicants.Epidemiological studies are also required.
文摘Pharmaceutical-Food Homologous Plant-Derived Carbon Dots (P-CDs) have emerged as revolutionary nanomaterials in environmental pollutant management, demonstrating transformative potential for green chemistry and sustainable material applications. These carbon dots establish an innovative technical framework by integrating dual "detection-remediation" functionalities through eco-friendly synthesis and high-value conversion of medicinal-edible plants and agroforestry waste. Their core advantages originate from structural templating effects induced by natural functional groups (polyphenols, amino acids) in plant precursors combined with heteroatom self-doping, which synergistically optimizes optical properties. This combination achieves quantum yields ranging from 3.06% to 84.9% and detection sensitivities spanning nanomolar to micromolar concentrations. In pollutant detection applications, P-CDs enable ultrasensitive identification of heavy metals (Hg^(2+) , Cu^(2+) , Fe^(3+) ) and organic contaminants (pesticides, antibiotics) through multi-mechanistic interactions including static quenching (SQ), dynamic quenching (DQ), and F rster resonance energy transfer (FRET). However, technological translation faces critical challenges including quantum yield heterogeneity (>40-fold variation), matrix interference in complex environmental samples (signal drift exceeding 12%), and scalability-related process inconsistencies. Future research priorities should focus on three key areas: standardization of synthesis protocols, development of surface passivation strategies ( e.g. , SiO_(2) encapsulation), and optimization of heterojunction designs to enhance interference resistance. The integration of in situ characterization techniques (particularly X-ray absorption spectroscopy) with machine learning-driven parameter optimization could significantly refine detection-remediation synergies. Concurrently, establishing a comprehensive lifecycle assessment framework becomes imperative for evaluating environmental impacts and scalability potential. This technology pioneers a sustainable paradigm for pollution control by bridging the gap between nanomaterial innovation and industrial deployment, thereby accelerating progress toward global ecological security objectives.
基金the National Natural Science Foundation of China(Nos.52370083 and 52170088)Sichuan Science and Technology Program(No.2024NSFTD0014)Key R&D Program of Heilongjiang Province(No.2023ZX02C01)for financial support。
文摘To develop more efficient catalysts and discover new materials to work towards efficient solutions to the growing environmental problems,machine learning(ML)offers viable new ideas.Due to its ability to process large-scale data and mine underlying patterns,ML has been widely used in the design and development of materials in recent years.The purpose of this manuscript is to summarize the research progress of ML to guide the development of materials in the environmental field and open new horizons for environmental pollution control.This manuscript firstly details the basic ML definitions and operational procedures.Secondly,it summarizes the main ways of applying ML in materials.Then it unfolds to introduce the specific application examples of ML in different materials.Finally,we summarize the shortcomings and research trends of ML in predicting material design.
