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Multi-Objective Optimization of Exponential-Cross-Section Piezoelectric Cantilever under Tire Rotational Excitation for Self-Powered Tire Pressure Monitoring Systems
IF 11.1 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-03-11 DOI: 10.1016/j.jclepro.2025.145255
Mojtaba Momen, Salman Ebrahiminejad, Morteza Mollajafari
In this study, a piezoelectric cantilever energy harvester model with two exponential cross-sections of width and thickness with a weighted block at the tip of the cantilever under tire rotational excitation is proposed for use in a tire pressure monitoring system (TPMS). The governing energy-harvesting equations were derived for an exponential cross-section beam under rotational tire excitation conditions for the first time. Few studies have considered both the thickness and width of the beam as variables, and no theoretical research has been conducted on this model under the rotational excitation of tires. After modeling the energy harvester, the governing mechanical equations were derived based on the Euler-Lagrange method and then coupled to the electrical relations. Moreover, suitable solutions for optimal energy harvesting from the proposed model have been proposed to increase the bandwidth of the optimal performance. To improve the results, Multi-Objective Particle Swarm Optimization (MOPSO) and Non-dominated Sorting Genetic Algorithm II (NSGAII), two well-known multi-objective optimization algorithms with the objectives of increasing electric power and reducing weight, were used to find the optimal values for the geometric dimensions of the model. The results of this study confirm that using a beam with an exponential cross-section in width and thickness produces an energy harvester with more electrical power and less weight than other geometry types. To make the energy harvester model work near its resonance frequency at most of the vehicle movement speeds, i.e. from 1 to 151 , and increasing the bandwidth of the optimal performance of the model, we found the ideal effective length of the cantilever as 5.997 mm along with the appropriate tension spring stiffness. The results show that using the ideal initial effective length, the average power of the energy harvester model at speeds between 1 and 151 km/h has increased from 3.51 to 6.23 , which shows an improvement of 77.5%. Also, using optimal data reduces the weight of the model, including the cantilever and the weighted block from 0.0346 N to 0.0087 N, indicating a 74.86% reduction in weight. The results show that the use of suitable piezoelectric can lead to a significant improvement in the obtained results in such a way that the use of a material with 23 , 106.25 and 3 , compared to a material with 9.1126 , 97.849 and 3 , leads to an increase in the average output power at different speeds of the vehicle movement from 6.23 to 39.75 and improvement of 538% in output power is obtained from the energy harvester model.
{"title":"Multi-Objective Optimization of Exponential-Cross-Section Piezoelectric Cantilever under Tire Rotational Excitation for Self-Powered Tire Pressure Monitoring Systems","authors":"Mojtaba Momen, Salman Ebrahiminejad, Morteza Mollajafari","doi":"10.1016/j.jclepro.2025.145255","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145255","url":null,"abstract":"In this study, a piezoelectric cantilever energy harvester model with two exponential cross-sections of width and thickness with a weighted block at the tip of the cantilever under tire rotational excitation is proposed for use in a tire pressure monitoring system (TPMS). The governing energy-harvesting equations were derived for an exponential cross-section beam under rotational tire excitation conditions for the first time. Few studies have considered both the thickness and width of the beam as variables, and no theoretical research has been conducted on this model under the rotational excitation of tires. After modeling the energy harvester, the governing mechanical equations were derived based on the Euler-Lagrange method and then coupled to the electrical relations. Moreover, suitable solutions for optimal energy harvesting from the proposed model have been proposed to increase the bandwidth of the optimal performance. To improve the results, Multi-Objective Particle Swarm Optimization (MOPSO) and Non-dominated Sorting Genetic Algorithm II (NSGAII), two well-known multi-objective optimization algorithms with the objectives of increasing electric power and reducing weight, were used to find the optimal values for the geometric dimensions of the model. The results of this study confirm that using a beam with an exponential cross-section in width and thickness produces an energy harvester with more electrical power and less weight than other geometry types. To make the energy harvester model work near its resonance frequency at most of the vehicle movement speeds, i.e. from 1 to 151 <span><math></math></span>, and increasing the bandwidth of the optimal performance of the model, we found the ideal effective length of the cantilever as 5.997 mm along with the appropriate tension spring stiffness. The results show that using the ideal initial effective length, the average power of the energy harvester model at speeds between 1 and 151 km/h has increased from 3.51 <span><math></math></span> to 6.23 <span><math></math></span>, which shows an improvement of 77.5%. Also, using optimal data reduces the weight of the model, including the cantilever and the weighted block from 0.0346 N to 0.0087 N, indicating a 74.86% reduction in weight. The results show that the use of suitable piezoelectric can lead to a significant improvement in the obtained results in such a way that the use of a material with 23 <span><math></math></span>, 106.25 <span><math></math></span> and 3 <span><math></math></span>, compared to a material with 9.1126 <span><math></math></span>, 97.849 <span><math></math></span> and 3 <span><math></math></span>, leads to an increase in the average output power at different speeds of the vehicle movement from 6.23 <span><math></math></span> to 39.75 <span><math></math></span> and improvement of 538% in output power is obtained from the energy harvester model.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"3 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143589683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing Hydrogen Sulfide Control in Urban Sewer Systems Using Machine Learning Models: Development of a New Predictive Simulation Approach by using Boosting Algorithm
IF 13.6 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-03-11 DOI: 10.1016/j.jhazmat.2025.137906
Duc Viet Nguyen, Miran Seo, Yue Chen, Di Wu
Sewer networks are important urban infrastructure for transporting sewage to treatment plants, yet the generation of hydrogen sulfide within these systems poses significant challenges. This acidic toxic gas not only emits foul odors but also causes corrosion, necessitating effective control measures. Recent studies have introduced a modelling approach to predict and control the formation of hydrogen sulfide in sewer system. However, the conventional and mathematical models have demonstrated limitations in simulating non-linear data. Meanwhile, advanced(boosting) machine learnings are proving to be effective tools for forecasting complex data, making them particularly suitable for simulating of sulfide concentrations. In this work, we aimed to develop a novel approach to predict hydrogen sulfide formation in sewer systems. This work employed 11 machine learning models (4 boosting algorithms and 7 traditional algorithms) for over 700 datasets to analysis the correlations between the key sewer operational parameters (including pH, dissolved oxygen (DO), temperature, weather conditions, sulfate concentration, and ammonia levels) and hydrogen sulfide production. The results showed that eXtreme Gradient Boosting (XGBoost) has the highest prediction efficiency (R=0.97, RMSE=0.177 mg/L), outperformed other boosting and traditional methods. The newly developed boosting-based model successfully predicted sulfide formation in various sewer networks, validated against literature data (R> 0.9, RMSE of 0.24 mg/L), confirming its effectiveness for simulating hydrogen sulfide in sewer tunnels. The optimal conditions for minimizing total sulfide generation were identified by the XGBoost model. These findings have the potential to improve the control and operation of sewer system in the future.
{"title":"Enhancing Hydrogen Sulfide Control in Urban Sewer Systems Using Machine Learning Models: Development of a New Predictive Simulation Approach by using Boosting Algorithm","authors":"Duc Viet Nguyen, Miran Seo, Yue Chen, Di Wu","doi":"10.1016/j.jhazmat.2025.137906","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2025.137906","url":null,"abstract":"Sewer networks are important urban infrastructure for transporting sewage to treatment plants, yet the generation of hydrogen sulfide within these systems poses significant challenges. This acidic toxic gas not only emits foul odors but also causes corrosion, necessitating effective control measures. Recent studies have introduced a modelling approach to predict and control the formation of hydrogen sulfide in sewer system. However, the conventional and mathematical models have demonstrated limitations in simulating non-linear data. Meanwhile, advanced(boosting) machine learnings are proving to be effective tools for forecasting complex data, making them particularly suitable for simulating of sulfide concentrations. In this work, we aimed to develop a novel approach to predict hydrogen sulfide formation in sewer systems. This work employed 11 machine learning models (4 boosting algorithms and 7 traditional algorithms) for over 700 datasets to analysis the correlations between the key sewer operational parameters (including pH, dissolved oxygen (DO), temperature, weather conditions, sulfate concentration, and ammonia levels) and hydrogen sulfide production. The results showed that eXtreme Gradient Boosting (XGBoost) has the highest prediction efficiency (R=0.97, RMSE=0.177<!-- --> <!-- -->mg/L), outperformed other boosting and traditional methods. The newly developed boosting-based model successfully predicted sulfide formation in various sewer networks, validated against literature data (R&gt; 0.9, RMSE of 0.24<!-- --> <!-- -->mg/L), confirming its effectiveness for simulating hydrogen sulfide in sewer tunnels. The optimal conditions for minimizing total sulfide generation were identified by the XGBoost model. These findings have the potential to improve the control and operation of sewer system in the future.","PeriodicalId":361,"journal":{"name":"Journal of Hazardous Materials","volume":"20 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143590000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Monitoring the impact of EU F-gas regulation on HFC-134a emissions through a comparison of top-down and bottom-up estimates
IF 6 3区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-11 DOI: 10.1186/s12302-025-01081-1
Saurabh Annadate, Enrico Mancinelli, Barbara Gonella, Federica Moricci, Simon O’Doherty, Kieran Stanley, Dickon Young, Martin K. Vollmer, Rita Cesari, Serena Falasca, Umberto Giostra, Michela Maione, Jgor Arduini

HFC-134a is the most prevalent hydrofluorocarbon used as a replacement for ozone-depleting CFCs and HCFCs. Due to its high global warming potential, it is regulated under various European and global frameworks, underscoring the importance of tracking its emissions. Emissions derived by the commonly used, bottom-up, methodology are affected by a certain degree of uncertainty. The bottom-up estimates can be aided with an independent top-down estimate based on atmospheric observations combined with an atmospheric transport model. This study presents HFC-134a emissions for Europe, with a specific focus on Italy, from 2008 to 2023. The emissions were estimated using a Bayesian inversion methodology, based on atmospheric observations collected at four European stations. Our analysis reveals a slightly increasing trend in HFC-134a emissions for Italy from 2008 to 2015 of 0.17 ({mathrm{Gg,yr}^{-1}}), followed by a steady decrease thereafter, highlighting the effect of European regulation on fluorinated gases that came into force in 2014. We observed a reduction in HFC-134a emissions in the Po Basin inferred from the inversion method for 2020, likely due to mobility restrictions imposed during the COVID-19 pandemic. The observed mild seasonality in emissions may be partly attributed to higher air-conditioning activity during summer. Comparison with the Italian National Emission Inventory indicates an improvement in iterative bottom-up estimates, with the 2024 inventory emission trend post-2015 aligning closely with our inversion results. This study emphasises the need for collaboration between the two independent approaches to enhance the accuracy of emission estimates. Such cooperation is crucial to narrowing the gap in quantifying emissions of potent greenhouse gases and effectively assessing the progress of international policies and regulations.

{"title":"Monitoring the impact of EU F-gas regulation on HFC-134a emissions through a comparison of top-down and bottom-up estimates","authors":"Saurabh Annadate,&nbsp;Enrico Mancinelli,&nbsp;Barbara Gonella,&nbsp;Federica Moricci,&nbsp;Simon O’Doherty,&nbsp;Kieran Stanley,&nbsp;Dickon Young,&nbsp;Martin K. Vollmer,&nbsp;Rita Cesari,&nbsp;Serena Falasca,&nbsp;Umberto Giostra,&nbsp;Michela Maione,&nbsp;Jgor Arduini","doi":"10.1186/s12302-025-01081-1","DOIUrl":"10.1186/s12302-025-01081-1","url":null,"abstract":"<div><p>HFC-134a is the most prevalent hydrofluorocarbon used as a replacement for ozone-depleting CFCs and HCFCs. Due to its high global warming potential, it is regulated under various European and global frameworks, underscoring the importance of tracking its emissions. Emissions derived by the commonly used, bottom-up, methodology are affected by a certain degree of uncertainty. The bottom-up estimates can be aided with an independent top-down estimate based on atmospheric observations combined with an atmospheric transport model. This study presents HFC-134a emissions for Europe, with a specific focus on Italy, from 2008 to 2023. The emissions were estimated using a Bayesian inversion methodology, based on atmospheric observations collected at four European stations. Our analysis reveals a slightly increasing trend in HFC-134a emissions for Italy from 2008 to 2015 of 0.17 <span>({mathrm{Gg,yr}^{-1}})</span>, followed by a steady decrease thereafter, highlighting the effect of European regulation on fluorinated gases that came into force in 2014. We observed a reduction in HFC-134a emissions in the Po Basin inferred from the inversion method for 2020, likely due to mobility restrictions imposed during the COVID-19 pandemic. The observed mild seasonality in emissions may be partly attributed to higher air-conditioning activity during summer. Comparison with the Italian National Emission Inventory indicates an improvement in iterative bottom-up estimates, with the 2024 inventory emission trend post-2015 aligning closely with our inversion results. This study emphasises the need for collaboration between the two independent approaches to enhance the accuracy of emission estimates. Such cooperation is crucial to narrowing the gap in quantifying emissions of potent greenhouse gases and effectively assessing the progress of international policies and regulations.</p></div>","PeriodicalId":546,"journal":{"name":"Environmental Sciences Europe","volume":"37 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s12302-025-01081-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Characterizing full-phase chlorine species emissions from domestic coal combustion in China: implications for significant impacts on air pollution and ozone-layer depletion
IF 8.9 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-11 DOI: 10.1016/j.envpol.2025.126043
Wenyi Jin, Yulong Yan, Xionghui Qiu, Lin Peng, Zhen Li, Yuying Tang
The distribution and emission characteristics of chlorine in different phases are important for evaluating the impact of chlorine chemistry on the stratospheric and tropospheric environment. This study developed a measurement method of full-phase chlorine and firstly reported full-phase chlorine emissions characteristics of domestic coal combustion. The chlorine content of bituminous coal is 252.5 μg/g, with 87% released into the gaseous, and the concentrations of particulate chloride (pCl), hydrogen chloride (HCl), chlorine gas (Cl2), and organic chlorides (Cl-VOCs) of 0.57±0.16, 5.96±1.05, 0.38±0.06, and 0.03±0.01 mg Cl/m3, respectively. In addition, unexpectedly high concentrations of very short-lived substances (VSLS), such as CH3Cl, CH2Cl2, C2H5Cl, C2H3Cl, and C2H2Cl2, and ozone-depleting substances (ODS), such as chlorofluorocarbons (CFCs) and hydrochlorofluorocarbons (HCFCs), were measured, with concentration of 270.71 ppb in total. Total emission of chlorine from domestic coal combustion was 33.51 tons in 2013 and declines to 18.47 tons in 2021 in China. Our results indicate that the emissions of CFC-11-eq and CO2-eq were relatively low compared with those of other species controlled by the Montreal Protocol on Substances that Deplete the Ozone Layer; however, subsequent controls should give greater consideration to coal combustion because of its widespread sources.
{"title":"Characterizing full-phase chlorine species emissions from domestic coal combustion in China: implications for significant impacts on air pollution and ozone-layer depletion","authors":"Wenyi Jin, Yulong Yan, Xionghui Qiu, Lin Peng, Zhen Li, Yuying Tang","doi":"10.1016/j.envpol.2025.126043","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126043","url":null,"abstract":"The distribution and emission characteristics of chlorine in different phases are important for evaluating the impact of chlorine chemistry on the stratospheric and tropospheric environment. This study developed a measurement method of full-phase chlorine and firstly reported full-phase chlorine emissions characteristics of domestic coal combustion. The chlorine content of bituminous coal is 252.5 μg/g, with 87% released into the gaseous, and the concentrations of particulate chloride (pCl), hydrogen chloride (HCl), chlorine gas (Cl<sub>2</sub>), and organic chlorides (Cl-VOCs) of 0.57±0.16, 5.96±1.05, 0.38±0.06, and 0.03±0.01 mg Cl/m<sup>3</sup>, respectively. In addition, unexpectedly high concentrations of very short-lived substances (VSLS), such as CH<sub>3</sub>Cl, CH<sub>2</sub>Cl<sub>2</sub>, C<sub>2</sub>H<sub>5</sub>Cl, C<sub>2</sub>H<sub>3</sub>Cl, and C<sub>2</sub>H<sub>2</sub>Cl<sub>2</sub>, and ozone-depleting substances (ODS), such as chlorofluorocarbons (CFCs) and hydrochlorofluorocarbons (HCFCs), were measured, with concentration of 270.71 ppb in total. Total emission of chlorine from domestic coal combustion was 33.51 tons in 2013 and declines to 18.47 tons in 2021 in China. Our results indicate that the emissions of CFC-11-eq and CO<sub>2</sub>-eq were relatively low compared with those of other species controlled by the Montreal Protocol on Substances that Deplete the Ozone Layer; however, subsequent controls should give greater consideration to coal combustion because of its widespread sources.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"10 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143589641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamic Connectedness of Corn, Plastic and Energy Markets
IF 11.1 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-03-10 DOI: 10.1016/j.jclepro.2025.145256
Isaiah Gangadeen, Kalim U. Shah
The connectedness of commodity markets presents a challenge in designing policy interventions to support the competitiveness of bioplastics. Bio-based and petrol-based plastics are linked to agriculture and energy markets, making the net effect on the competitiveness of bioplastics less clear. Firstly, oil has traditionally formed an important input into agriculture, but the surge of biofuel production has strengthened the link between energy and agricultural commodities. The result of the increasing connectedness of these markets distorts the relationships between these factors and renders the prediction of effective policies interventions challenging. While the dynamic interactions relating to biofuels have been covered to some degree in the literature, the inclusion of bioplastics remains understudied. This study assesses the connectedness across commodity markets and provides policy and market insights to support the competitiveness of bioplastics in the US. We identified an average connectedness across plastic prices, oil prices, corn prices, manufacturing demand and plastic innovations of 35%. We also find evidence that oil prices dominate in influencing bioplastic competitiveness. Technological innovations and manufacturing demand have negligible influence on bioplastic competitiveness. The implications of these time-varying correlations can influence whether policy interventions produce positive or adverse effects. Accordingly, we provide policy recommendations considering the directional volatility spillovers and time-varying relationships assessed.
{"title":"Dynamic Connectedness of Corn, Plastic and Energy Markets","authors":"Isaiah Gangadeen, Kalim U. Shah","doi":"10.1016/j.jclepro.2025.145256","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145256","url":null,"abstract":"The connectedness of commodity markets presents a challenge in designing policy interventions to support the competitiveness of bioplastics. Bio-based and petrol-based plastics are linked to agriculture and energy markets, making the net effect on the competitiveness of bioplastics less clear. Firstly, oil has traditionally formed an important input into agriculture, but the surge of biofuel production has strengthened the link between energy and agricultural commodities. The result of the increasing connectedness of these markets distorts the relationships between these factors and renders the prediction of effective policies interventions challenging. While the dynamic interactions relating to biofuels have been covered to some degree in the literature, the inclusion of bioplastics remains understudied. This study assesses the connectedness across commodity markets and provides policy and market insights to support the competitiveness of bioplastics in the US. We identified an average connectedness across plastic prices, oil prices, corn prices, manufacturing demand and plastic innovations of 35%. We also find evidence that oil prices dominate in influencing bioplastic competitiveness. Technological innovations and manufacturing demand have negligible influence on bioplastic competitiveness. The implications of these time-varying correlations can influence whether policy interventions produce positive or adverse effects. Accordingly, we provide policy recommendations considering the directional volatility spillovers and time-varying relationships assessed.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"24 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Invited Perspective: Should You Scrap Your Plastic Cutting Board?
IF 10.1 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-10 DOI: 10.1289/EHP17049
Eliseo F Castillo, Katrina Smith Korfmacher, Anna Christina Tyler
{"title":"Invited Perspective: Should You Scrap Your Plastic Cutting Board?","authors":"Eliseo F Castillo, Katrina Smith Korfmacher, Anna Christina Tyler","doi":"10.1289/EHP17049","DOIUrl":"https://doi.org/10.1289/EHP17049","url":null,"abstract":"","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":" ","pages":""},"PeriodicalIF":10.1,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143585155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Molecular mechanisms by which polyethylene terephthalate (PET) microplastic and PET leachate promote the growth of benthic cyanobacteria
IF 12.8 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-03-10 DOI: 10.1016/j.watres.2025.123476
Aonan Yang, Haiyan Pei, Ming Zhang, Yan Jin, Hangzhou Xu
Toxic blooms of benthic cyanobacteria greatly threaten freshwater ecological health and drinking water safety. Meanwhile, microplastic pollution is becoming increasingly severe and microplastics accumulate in large quantities at the bottom of lakes and rivers, widely coexisting with algae. However, impacts of microplastics on benthic cyanobacteria are still unknown. This study investigated effects of microplastic polyethylene terephthalate (PET) — which is commonly found at the bottom of lakes and rivers — and its leachate at environmentally relevant concentration (0.3 mg/L) and high exposure concentration (3.0 mg/L) on typical benthic cyanobacteria (Oscillatoria sp. and Pseudanabaena sp.), and clarified the related molecular mechanisms through transcriptomic analysis. Results show that PET or PET leachate (PET-L) can promote benthic cyanobacterial growth and promotive effect of PET-L is more obvious than that of PET system. Promotion effect of PET or PET-L is more significant at environmentally relevant concentration (39–63% increase compared with the control) compared with high exposure concentration (21–58% increase compared with the control). In the presence of PET or PET-L, due to an increase in the number of cyanobacterial cells, concentrations of harmful metabolites (cylindrospermopsin, geosmin, and 2-methylisoborneol) in water also increased. Although PET particles may not be conducive to benthic cyanobacterial growth due to shading effect and mechanical damage, photosynthetic efficiency of algae was improved and dysregulated genes related to photosynthesis and extracellular transport of glycolipid were upregulated according to transcriptome analysis. Moreover, PET decomposition components, such as terephthalic acid and ethylene glycol, may be able to serve as carbon sources for cyanobacterial growth. Upregulation of genes associated with glycolysis, oxidative phosphorylation, and translation revealed that PET can promote the growth of benthic cyanobacteria. This study has important value in evaluating the impact of benthic cyanobacteria on aquatic ecological health and drinking water safety with the coexistence of microplastics.
{"title":"Molecular mechanisms by which polyethylene terephthalate (PET) microplastic and PET leachate promote the growth of benthic cyanobacteria","authors":"Aonan Yang, Haiyan Pei, Ming Zhang, Yan Jin, Hangzhou Xu","doi":"10.1016/j.watres.2025.123476","DOIUrl":"https://doi.org/10.1016/j.watres.2025.123476","url":null,"abstract":"Toxic blooms of benthic cyanobacteria greatly threaten freshwater ecological health and drinking water safety. Meanwhile, microplastic pollution is becoming increasingly severe and microplastics accumulate in large quantities at the bottom of lakes and rivers, widely coexisting with algae. However, impacts of microplastics on benthic cyanobacteria are still unknown. This study investigated effects of microplastic polyethylene terephthalate (PET) — which is commonly found at the bottom of lakes and rivers — and its leachate at environmentally relevant concentration (0.3 mg/L) and high exposure concentration (3.0 mg/L) on typical benthic cyanobacteria (<em>Oscillatoria</em> sp. and <em>Pseudanabaena</em> sp.), and clarified the related molecular mechanisms through transcriptomic analysis. Results show that PET or PET leachate (PET-L) can promote benthic cyanobacterial growth and promotive effect of PET-L is more obvious than that of PET system. Promotion effect of PET or PET-L is more significant at environmentally relevant concentration (39–63% increase compared with the control) compared with high exposure concentration (21–58% increase compared with the control). In the presence of PET or PET-L, due to an increase in the number of cyanobacterial cells, concentrations of harmful metabolites (cylindrospermopsin, geosmin, and 2-methylisoborneol) in water also increased. Although PET particles may not be conducive to benthic cyanobacterial growth due to shading effect and mechanical damage, photosynthetic efficiency of algae was improved and dysregulated genes related to photosynthesis and extracellular transport of glycolipid were upregulated according to transcriptome analysis. Moreover, PET decomposition components, such as terephthalic acid and ethylene glycol, may be able to serve as carbon sources for cyanobacterial growth. Upregulation of genes associated with glycolysis, oxidative phosphorylation, and translation revealed that PET can promote the growth of benthic cyanobacteria. This study has important value in evaluating the impact of benthic cyanobacteria on aquatic ecological health and drinking water safety with the coexistence of microplastics.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"86 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143589956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Removal efficiency and adaptive response mechanisms of microalgal-bacterial granular sludge in treating chloramphenicol-laden wastewater
IF 13.6 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-03-10 DOI: 10.1016/j.jhazmat.2025.137904
Yang Bai, Hua Liang, Bin Ji, Bingheng Chen, Anjie Li, Xiaoyuan Zhang, Yu Liu
Efficient and eco-friendly technologies for removing antibiotic pollutants like chloramphenicol (CAP) from wastewater are becoming increasingly important. Among these, microalgal-bacterial granular sludge (MBGS) represents a promising green biotechnology capable of tackling such contaminants. However, the interactions between CAP and MBGS, as well as how CAP influences the community structure and function of MBGS, have not yet been fully understood. This study investigated the effectiveness of the MBGS system in CAP removal and examined microbial responses to CAP exposure. Our findings indicate that MBGS exhibits remarkable adaptability to CAP, altering its microbial characteristics to mitigate CAP toxicity while maintaining the efficacy of pollutant removal. Notably, there was a significant increase in key microorganisms such as Hydrogenophaga, Polaromonas, and Acidovorax. Additionally, the prevalence of resistance genes cmlA8, floR, catB and cfr under CAP exposure suggests adaptive mechanisms likely involving efflux pumps, CAP acetyltransferase B and ribosomal RNA methyltransferase. CAP degradation appears to proceed via the amide bond hydrolase estDL136, thereby reducing its toxicity and producing less harmful byproducts such as 2,2-dichloroacetic acid. This study provides new insights into how CAP affects MBGS communities and identifies the mechanisms for CAP degradation, offering valuable insights that MBGS could serve as an effective and environmentally sustainable technology for the treatment of wastewater containing antibiotic pollutants.
{"title":"Removal efficiency and adaptive response mechanisms of microalgal-bacterial granular sludge in treating chloramphenicol-laden wastewater","authors":"Yang Bai, Hua Liang, Bin Ji, Bingheng Chen, Anjie Li, Xiaoyuan Zhang, Yu Liu","doi":"10.1016/j.jhazmat.2025.137904","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2025.137904","url":null,"abstract":"Efficient and eco-friendly technologies for removing antibiotic pollutants like chloramphenicol (CAP) from wastewater are becoming increasingly important. Among these, microalgal-bacterial granular sludge (MBGS) represents a promising green biotechnology capable of tackling such contaminants. However, the interactions between CAP and MBGS, as well as how CAP influences the community structure and function of MBGS, have not yet been fully understood. This study investigated the effectiveness of the MBGS system in CAP removal and examined microbial responses to CAP exposure. Our findings indicate that MBGS exhibits remarkable adaptability to CAP, altering its microbial characteristics to mitigate CAP toxicity while maintaining the efficacy of pollutant removal. Notably, there was a significant increase in key microorganisms such as <em>Hydrogenophaga</em>, <em>Polaromonas</em>, and <em>Acidovorax</em>. Additionally, the prevalence of resistance genes <em>cmlA8</em>, <em>floR</em>, <em>catB</em> and <em>cfr</em> under CAP exposure suggests adaptive mechanisms likely involving efflux pumps, CAP acetyltransferase B and ribosomal RNA methyltransferase. CAP degradation appears to proceed via the amide bond hydrolase estDL136, thereby reducing its toxicity and producing less harmful byproducts such as 2,2-dichloroacetic acid. This study provides new insights into how CAP affects MBGS communities and identifies the mechanisms for CAP degradation, offering valuable insights that MBGS could serve as an effective and environmentally sustainable technology for the treatment of wastewater containing antibiotic pollutants.","PeriodicalId":361,"journal":{"name":"Journal of Hazardous Materials","volume":"91 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143590005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Pyrolysis of Pig Waste from Intensive Farming Operations: Kinetics, Product Distribution, and Transformation of Endogenous Heavy Metals
IF 13.6 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-03-10 DOI: 10.1016/j.jhazmat.2025.137916
Fengxiao Zhao, Danni Li, Hongyuan Chen, Xianhai Zeng, Lu Lin, Haoran Yuan, Rui Shan, Yong Chen
This study addresses the critical challenge of safe disposal and resource utilization of pig waste from intensive farming by investigating its pyrolysis behavior, product mechanisms, and heavy metal immobilization. The pyrolysis process was divided into four distinct stages, with kinetic parameters determined using the model-free FWO and KAS methods, ensuring accuracy without prior assumptions, complemented by the master plot method to elucidate reaction mechanisms. The optimal kinetic models identified as <span><span style=""></span><span data-mathml='<math xmlns="http://www.w3.org/1998/Math/MathML"><mi mathvariant="normal" is="true">f</mi><mo stretchy="false" is="true">(</mo><mi is="true">&#x3B1;</mi><mo stretchy="false" is="true">)</mo><mo linebreak="goodbreak" linebreakstyle="after" is="true">=</mo><mn is="true">4</mn><msup is="true"><mrow is="true"><mi is="true">&#x3B1;</mi></mrow><mrow is="true"><mfrac is="true"><mn is="true">3</mn><mn is="true">4</mn></mfrac></mrow></msup></math>' role="presentation" style="font-size: 90%; display: inline-block; position: relative;" tabindex="0"><svg aria-hidden="true" focusable="false" height="3.586ex" role="img" style="vertical-align: -0.812ex;" viewbox="0 -1194.3 4977.3 1544.1" width="11.56ex" xmlns:xlink="http://www.w3.org/1999/xlink"><g fill="currentColor" stroke="currentColor" stroke-width="0" transform="matrix(1 0 0 -1 0 0)"><g is="true"><use xlink:href="#MJMAIN-66"></use></g><g is="true" transform="translate(372,0)"><use xlink:href="#MJMAIN-28"></use></g><g is="true" transform="translate(762,0)"><use xlink:href="#MJMATHI-3B1"></use></g><g is="true" transform="translate(1402,0)"><use xlink:href="#MJMAIN-29"></use></g><g is="true" transform="translate(2069,0)"><use xlink:href="#MJMAIN-3D"></use></g><g is="true" transform="translate(3126,0)"><use xlink:href="#MJMAIN-34"></use></g><g is="true" transform="translate(3626,0)"><g is="true"><g is="true"><use xlink:href="#MJMATHI-3B1"></use></g></g><g is="true" transform="translate(640,423)"><g is="true"><g transform="translate(120,0)"><rect height="60" stroke="none" width="370" x="0" y="146"></rect><g is="true" transform="translate(60,341)"><use transform="scale(0.5)" xlink:href="#MJMAIN-33"></use></g><g is="true" transform="translate(60,-316)"><use transform="scale(0.5)" xlink:href="#MJMAIN-34"></use></g></g></g></g></g></g></svg><span role="presentation"><math xmlns="http://www.w3.org/1998/Math/MathML"><mi is="true" mathvariant="normal">f</mi><mo is="true" stretchy="false">(</mo><mi is="true">α</mi><mo is="true" stretchy="false">)</mo><mo is="true" linebreak="goodbreak" linebreakstyle="after">=</mo><mn is="true">4</mn><msup is="true"><mrow is="true"><mi is="true">α</mi></mrow><mrow is="true"><mfrac is="true"><mn is="true">3</mn><mn is="true">4</mn></mfrac></mrow></msup></math></span
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引用次数: 0
Source prevention or end-of-pipe treatment? Green public procurement and corporate environmental investment strategies
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-10 DOI: 10.1016/j.jenvman.2025.124880
Renjie Zhang , Guiyi Zhu
As a market-based environmental policy instrument, Green Public Procurement (GPP) increases environmental legitimacy pressures on companies. However, it is unclear whether and how this change in pressure is reflected in corporate environmental investment strategies. Using manually collected data on corporate environmental investment and green public procurement data obtained through textual analysis techniques, this study observes that GPP significantly promotes corporate environmental investment in source prevention, but has no obvious effect on environmental investment in end-of-pipe treatment, suggesting that enterprises obtaining green procurement orders are more inclined to adopt a preventive environmental investment strategy in response to increasing environmental pressures. The above effects are more pronounced in enterprises where the interests of shareholders and managers are aligned and in highly competitive industries. Mechanism analysis reveals that the government's threat of termination of procurement, increased attention from green investors, and improved access to environmental subsidies are potential mechanisms by which GPP influences corporate environmental investment strategies. Finally, we investigate the supply chain spillovers of GPP using a unique three-level supply chain dataset. This study provides valuable insights into how developing countries can use market-based policy instruments to induce and incentivize enterprises to adopt proactive environmental strategies.
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引用次数: 0
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