Verticillium wilt, caused by the fungal pathogen Verticillium dahliae, poses a significant global economic threat due to its complex pathogenic mechanisms and its unclear interaction with host plants. These complexities are exacerbated by the pathogen's stable dormant structures, microsclerotia, and its long co-evolution with host plants. In this study, we explored the biological function of the chitin deacetylase gene VDAG_03333 from V. dahliae and developed a double stranded RNA (dsRNA) based on its coding sequence (CDS). This dsRNA was introduced into the roots of Acer mollo Maxim using a novel star polycation (SPc), which effectively mitigated Verticillium wilt. VDAG_03333 is not necessary for V. dahliae growth on potato dextrose agar, while deletion of it significantly reduced the sporulation and spore penetration abilities of V. dahliae, thereby diminishing its pathogenicity in two-week-old potted seedlings of Acer mollo Maxim. The optimal mass mixing ratio of dsRNA to SPc was established at 1:1. The SPc reduced the particle size of dsRNA from 702.87 ± 16.34 nm to 36.30 ± 2.93 nm and increased the zeta potential from +8.24 mV to +12.50 mV, enhancing the stability of dsRNA. Compared to its naked counterpart, the dsRNA/SPc complex further suppressed VDAG_03333 expression, reduced spore production and penetration, and improved access to the root tips of A. mollo. Consequently, the dsRNA/SPc complex provided superior protection against V. dahliae infection and demonstrated enhanced environmental sustainability over traditional pesticides. This study presents an environmentally friendly approach for managing severe plant pests and diseases.
{"title":"Controlling verticillium wilt in Acer mollo maxim with a star polycation dsRNA delivery system targeting Verticillium dahliae VDAG_03333","authors":"Yuan Tao, Tingli Liu, Lingchao Cai, Chaoqun You, Hanchen Lin, Yufang Guo, Tingting Dai","doi":"10.1016/j.jclepro.2025.144827","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144827","url":null,"abstract":"Verticillium wilt, caused by the fungal pathogen <em>Verticillium dahliae</em>, poses a significant global economic threat due to its complex pathogenic mechanisms and its unclear interaction with host plants. These complexities are exacerbated by the pathogen's stable dormant structures, microsclerotia, and its long co-evolution with host plants. In this study, we explored the biological function of the chitin deacetylase gene <em>VDAG_03333</em> from <em>V. dahliae</em> and developed a double stranded RNA (dsRNA) based on its coding sequence (CDS). This dsRNA was introduced into the roots of <em>Acer mollo</em> Maxim using a novel star polycation (SPc), which effectively mitigated Verticillium wilt. <em>VDAG_03333</em> is not necessary for <em>V. dahliae</em> growth on potato dextrose agar, while deletion of it significantly reduced the sporulation and spore penetration abilities of <em>V. dahliae</em>, thereby diminishing its pathogenicity in two-week-old potted seedlings of <em>Acer mollo</em> Maxim. The optimal mass mixing ratio of dsRNA to SPc was established at 1:1. The SPc reduced the particle size of dsRNA from 702.87 ± 16.34 nm to 36.30 ± 2.93 nm and increased the zeta potential from +8.24 mV to +12.50 mV, enhancing the stability of dsRNA. Compared to its naked counterpart, the dsRNA/SPc complex further suppressed <em>VDAG_03333</em> expression, reduced spore production and penetration, and improved access to the root tips of <em>A</em>. <em>mollo</em>. Consequently, the dsRNA/SPc complex provided superior protection against <em>V. dahliae</em> infection and demonstrated enhanced environmental sustainability over traditional pesticides. This study presents an environmentally friendly approach for managing severe plant pests and diseases.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"26 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143076867","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}
Pub Date : 2025-01-30DOI: 10.1016/j.jclepro.2025.144912
Huwei Wen, Yichi Zhang, Fengxiu Zhou, Xi Tian
China is actively exploring innovative models for green development guided by the Two Mountains Theory to form a path for achieving ecological sustainability. Based on the interpretation of green development within the framework of Two Mountains Theory, this study constructed a comprehensive index system of 18 indicators, including ecological wealth, economic wealth and transformation channels, measured the green development of 31 provinces in China from 2004 to 2022, and analyzed the regional differences and dynamic evolution rules. The results show that China's pursuit of green development under the framework of Two Mountains Theory is advancing steadily, and the two-mountains green development index shows a significant upward trend with minor fluctuations. Although there are regional differences in the two-mountains green development index, there is a significant spatial correlation, and the spatial agglomeration state is relatively stable. In addition, the two-mountains green development index has gradually increased over time, and the absolute difference between regions has also continued to expand. The probability of leapfrog green development in each province is low, and the spatial spillover effect is large. Green development shows the phenomena of σ convergence and β convergence, which converge to the steady state in the long run. The random forest approach proves the importance of ecological industrialization, and the index system has high contribution in predicting the spatio-temporal evolution of China's green development led by the Two Mountains Theory.
{"title":"Towards Ecological Sustainability: The Progress and Spatio-temporal Evolution of Green Development in China","authors":"Huwei Wen, Yichi Zhang, Fengxiu Zhou, Xi Tian","doi":"10.1016/j.jclepro.2025.144912","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144912","url":null,"abstract":"China is actively exploring innovative models for green development guided by the Two Mountains Theory to form a path for achieving ecological sustainability. Based on the interpretation of green development within the framework of Two Mountains Theory, this study constructed a comprehensive index system of 18 indicators, including ecological wealth, economic wealth and transformation channels, measured the green development of 31 provinces in China from 2004 to 2022, and analyzed the regional differences and dynamic evolution rules. The results show that China's pursuit of green development under the framework of Two Mountains Theory is advancing steadily, and the two-mountains green development index shows a significant upward trend with minor fluctuations. Although there are regional differences in the two-mountains green development index, there is a significant spatial correlation, and the spatial agglomeration state is relatively stable. In addition, the two-mountains green development index has gradually increased over time, and the absolute difference between regions has also continued to expand. The probability of leapfrog green development in each province is low, and the spatial spillover effect is large. Green development shows the phenomena of <em>σ</em> convergence and <em>β</em> convergence, which converge to the steady state in the long run. The random forest approach proves the importance of ecological industrialization, and the index system has high contribution in predicting the spatio-temporal evolution of China's green development led by the Two Mountains Theory.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"85 6 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143057348","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}
China has introduced the On-site Government and Research Institution Collaboration (OGRIC) for the Yangtze River Environmental Protection and Restoration to address the gap between environmental research and the Yangtze River's remediation requirements. We used causal machine learning and panel data from 117 cities in the Yangtze River Basin from 2016 to 2019 to assess the effect of the OGRIC on water quality improvement. We found that the OGRIC was efficient in reducing point source pollutants, including chemical oxygen demand, biochemical oxygen demand, and total phosphorus, demonstrating the value of the pattern of on-site cooperation between the government and scientists in pollution control. The results revealed that cities with higher initial pollution, higher economic development, and lower infrastructure development benefitted more from the OGRIC. Policy suggestions for improving the OGRIC are presented, including strengthening the scientist-government collaboration, focusing on non-point source pollution, and providing increased financial support for areas with low development levels.
{"title":"Evaluating the Heterogeneous Effects of On-Site Scientist-Government Collaboration on Yangtze River Protection and Restoration Using Causal Machine Learning","authors":"Renke Wei, Yifan Song, Yawen Ben, Yujia Wu, Yuchen Hu, Ke Yu, Meng Zhang, Chengzhi Hu, Lieyu Zhang, Shen Qu","doi":"10.1016/j.jclepro.2025.144913","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144913","url":null,"abstract":"China has introduced the On-site Government and Research Institution Collaboration (OGRIC) for the Yangtze River Environmental Protection and Restoration to address the gap between environmental research and the Yangtze River's remediation requirements. We used causal machine learning and panel data from 117 cities in the Yangtze River Basin from 2016 to 2019 to assess the effect of the OGRIC on water quality improvement. We found that the OGRIC was efficient in reducing point source pollutants, including chemical oxygen demand, biochemical oxygen demand, and total phosphorus, demonstrating the value of the pattern of on-site cooperation between the government and scientists in pollution control. The results revealed that cities with higher initial pollution, higher economic development, and lower infrastructure development benefitted more from the OGRIC. Policy suggestions for improving the OGRIC are presented, including strengthening the scientist-government collaboration, focusing on non-point source pollution, and providing increased financial support for areas with low development levels.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"53 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056711","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}
Pub Date : 2025-01-30DOI: 10.1016/j.jclepro.2025.144909
Ana Gabriela Encino-Munoz, Gülşah Yilan
The fashion industry keeps attracting great attention considering its impacts on the environment along with human health, stemming from overconsumption. The challenges associated with the sector escalated due to the diffusion of the fast fashion concept raising further social concerns. One reflection on this problem is associated with the second-hand clothing (SHC) sector, expected to promote the reuse of clothing items by adopting circular strategies. However, a closer look at the international trade of SHC items revealed significant problems in practice. The main problem identified is related to the flow of low-quality items from Global North (GN) to Global South (GS) countries. Against this background, this study aims to understand the most important factors in embracing a circular and ethical fashion practice by implementing a combined method using the Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis with the Analytical Network Process (ANP) method to search for strategies that contribute to overcoming the circularity gaps. The analysis results demonstrated the divergence of perceptions and priorities among various stakeholders, reflecting the complexity of achieving a global consensus in a circular fashion model. Finally, some policy recommendations are proposed aiming to embrace global environmental justice principles in the SHC sector.
{"title":"Second-Hand Clothing and Sustainability in the Fashion Sector: Analysing Visions on Circular Strategies through SWOT/ANP Method","authors":"Ana Gabriela Encino-Munoz, Gülşah Yilan","doi":"10.1016/j.jclepro.2025.144909","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144909","url":null,"abstract":"The fashion industry keeps attracting great attention considering its impacts on the environment along with human health, stemming from overconsumption. The challenges associated with the sector escalated due to the diffusion of the fast fashion concept raising further social concerns. One reflection on this problem is associated with the second-hand clothing (SHC) sector, expected to promote the reuse of clothing items by adopting circular strategies. However, a closer look at the international trade of SHC items revealed significant problems in practice. The main problem identified is related to the flow of low-quality items from Global North (GN) to Global South (GS) countries. Against this background, this study aims to understand the most important factors in embracing a circular and ethical fashion practice by implementing a combined method using the Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis with the Analytical Network Process (ANP) method to search for strategies that contribute to overcoming the circularity gaps. The analysis results demonstrated the divergence of perceptions and priorities among various stakeholders, reflecting the complexity of achieving a global consensus in a circular fashion model. Finally, some policy recommendations are proposed aiming to embrace global environmental justice principles in the SHC sector.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"49 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056722","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}
Pub Date : 2025-01-30DOI: 10.1016/j.jclepro.2025.144903
Xiang Zhang, Sitao Zhu, Tao Yang, Yijie Wang, Jiajie Li, Keqing Li
Coal gangue (CG) and coal fly ash (CFA) synergistic utilization for preparing CG-CFA-based filling materials (CCFM) aligns with the sustainable development of mining operations. However, systematic performance characterization tests and in-depth studies of hydration mechanisms remain insufficient. This study investigated the effects of CG content and slurry concentration on the mechanical properties, flowability, workability, and hydration mechanisms of CCFM. Single-factor experiments identified the optimal mix (JS5) with a CG-to-CFA mass ratio of 40:60, a >2.26 mm CG-to-construction waste mass ratio of 1:1, a binder-sand ratio of 0.2, and a concentration of 70%. This formulation achieved compressive and flexural strengths of 13.17 MPa and 6.78 MPa, respectively, at 28 days. An appropriate amount of CG reduced particle frictional shear stress (yield stress τ0 = 0.1668 Pa), improved slurry diffusibility, and minimized settlement shrinkage and bleeding rates, and exhibited lower settlement shrinkage and bleeding rates. Low slurry concentration significantly reduced compressive strength, flexural strength, and yield stress. Environmental safety testing revealed that CCFM posed no heavy metal leaching risk. Hydration mechanism analysis indicated that the appropriate addition of CG increased cumulative heat release (750.96 J/g), hydration rate (t50 = 372.73 h), and hydration degree (α = 31.37%) in JS5, enhancing the dissolution of active [SiO4]4– and [AlO4]5– substances and raised the six-coordinated [AlO6] content in ettringite (83.61%), and improved the bridging oxygen bond content in C–(A)–S–H gel (82.78%). These changes also increased the average grayscale value (101.41) and structural compactness of CCFM. These findings provide valuable insights into CG and CFA utilization, offering theoretical support for developing high-properties CCFM.
{"title":"The influence of coal gangue dosage and concentration on the properties and hydration mechanism of fly ash-based cemented filling materials","authors":"Xiang Zhang, Sitao Zhu, Tao Yang, Yijie Wang, Jiajie Li, Keqing Li","doi":"10.1016/j.jclepro.2025.144903","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144903","url":null,"abstract":"Coal gangue (CG) and coal fly ash (CFA) synergistic utilization for preparing CG-CFA-based filling materials (CCFM) aligns with the sustainable development of mining operations. However, systematic performance characterization tests and in-depth studies of hydration mechanisms remain insufficient. This study investigated the effects of CG content and slurry concentration on the mechanical properties, flowability, workability, and hydration mechanisms of CCFM. Single-factor experiments identified the optimal mix (JS5) with a CG-to-CFA mass ratio of 40:60, a >2.26 mm CG-to-construction waste mass ratio of 1:1, a binder-sand ratio of 0.2, and a concentration of 70%. This formulation achieved compressive and flexural strengths of 13.17 MPa and 6.78 MPa, respectively, at 28 days. An appropriate amount of CG reduced particle frictional shear stress (yield stress <em>τ</em><sub>0</sub> = 0.1668 Pa), improved slurry diffusibility, and minimized settlement shrinkage and bleeding rates, and exhibited lower settlement shrinkage and bleeding rates. Low slurry concentration significantly reduced compressive strength, flexural strength, and yield stress. Environmental safety testing revealed that CCFM posed no heavy metal leaching risk. Hydration mechanism analysis indicated that the appropriate addition of CG increased cumulative heat release (750.96 J/g), hydration rate (<em>t</em><sub>50</sub> = 372.73 h), and hydration degree (α = 31.37%) in JS5, enhancing the dissolution of active [SiO<sub>4</sub>]<sup>4–</sup> and [AlO<sub>4</sub>]<sup>5–</sup> substances and raised the six-coordinated [AlO<sub>6</sub>] content in ettringite (83.61%), and improved the bridging oxygen bond content in C–(A)–S–H gel (82.78%). These changes also increased the average grayscale value (101.41) and structural compactness of CCFM. These findings provide valuable insights into CG and CFA utilization, offering theoretical support for developing high-properties CCFM.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"36 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143057084","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}
Pub Date : 2025-01-30DOI: 10.1016/j.jclepro.2025.144902
Jan Drofenik, Tine Seljak, Zorka Novak Pintarič
An integrated top-down methodology for assessing and promoting progress towards a circular economy at macro (national) and micro (company) levels is presented. It is based on the MICRON (MIcroCirculaR ecOnomy iNdex) framework developed by (Baratsas, et al., 2022) for companies. In this paper, it has been extended to enable a consistent assessment for companies and countries. The methodology facilitates the analysis of key categories: energy, emissions, water, materials, and waste. A quantitative analysis of circularity, including a sensitivity analysis, is conducted at the macro level, identifying critical areas and the most influential factors for the circular economy. Based on this analysis, existing national strategies are evaluated, and implementation plans with specific measures are developed. This is followed by micro-level implementation, which involves techno-economic assessment of circular projects. Using this methodology, coordinated improvements in circularity are achieved at all levels.The methodology was tested in Slovenia, where the national circularity index revealed stable performance over five years, averaging slightly above 50 points out of 100. Analysis identified significant improvement potential in areas such as energy and emissions, aligning with the country’s focus on decarbonization and energy efficiency in its climate strategies. At the company level, circularity assessments highlighted critical challenges in renewable energy use and overall energy efficiency. The proposed measures showed potential for significantly improving circularity and reducing emissions, while the results provided valuable insights into the economic feasibility of these transitions.
{"title":"A Multi-Level Approach to Circular Economy Progress: Linking National Targets with Corporate Implementation","authors":"Jan Drofenik, Tine Seljak, Zorka Novak Pintarič","doi":"10.1016/j.jclepro.2025.144902","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144902","url":null,"abstract":"An integrated top-down methodology for assessing and promoting progress towards a circular economy at macro (national) and micro (company) levels is presented. It is based on the MICRON (MIcroCirculaR ecOnomy iNdex) framework developed by (Baratsas, et al., 2022) for companies. In this paper, it has been extended to enable a consistent assessment for companies and countries. The methodology facilitates the analysis of key categories: energy, emissions, water, materials, and waste. A quantitative analysis of circularity, including a sensitivity analysis, is conducted at the macro level, identifying critical areas and the most influential factors for the circular economy. Based on this analysis, existing national strategies are evaluated, and implementation plans with specific measures are developed. This is followed by micro-level implementation, which involves techno-economic assessment of circular projects. Using this methodology, coordinated improvements in circularity are achieved at all levels.The methodology was tested in Slovenia, where the national circularity index revealed stable performance over five years, averaging slightly above 50 points out of 100. Analysis identified significant improvement potential in areas such as energy and emissions, aligning with the country’s focus on decarbonization and energy efficiency in its climate strategies. At the company level, circularity assessments highlighted critical challenges in renewable energy use and overall energy efficiency. The proposed measures showed potential for significantly improving circularity and reducing emissions, while the results provided valuable insights into the economic feasibility of these transitions.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"53 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143057087","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}
Pub Date : 2025-01-30DOI: 10.1016/j.jclepro.2025.144914
Zibin Pan, Zhi Dang, Zuliang Chen
Acid mine drainage (AMD) causes serious ecological and environmental pollution problems, which is now a worldwide concern due to the large amounts of toxic metallic elements/metalloids components. How to treat AMD and recover/reuse its valuable resources has become one of the most significant research topics in what is known as the resource-based circular economy. In this review, recent advances in research are discussed regarding AMD in terms of formation, hazards, treatment technologies, as well as synthesis of nanomaterials combined with high value utilization or recycling of resources. Firstly, the process of forming AMD and its hazards to the mine location environment, including soil and water, were described. Secondly, the recovery of valuable resources such as Cu, Fe, Al and rare earth elements from AMD and their several kinds of applications (catalysts, synthesis of nanomaterials, semiconductors, etc.) are summarized. Thirdly, the advantages and disadvantages of the various technologies currently available for treating AMD and their present status of research are analyzed, which indicates that adsorption is one of the major contentious topics of research and is described in detail. Then, various methods and mechanisms for the synthesis of adsorbent nanomaterials such as common chemical and biological methods and their applications in AMD treatment/resource recovery were introduced. Finally, recent achievements and fresh insights into the integration of AMD treatment with the synthesis of nanomaterials were comprehensively presented, which include the synthesis of nanomaterials in AMD and the simultaneous recovery of valuable metals based on a variety of methods such as chemical, biological, and industrial waste. We aim to contribute some new light to future research by presenting these advances and challenges regarding nanomaterials synthesis and AMD treatment/resource reuse.
{"title":"Recent advances made in the synthesis of nanomaterials/nanoparticles combined with AMD treatment/resource recycling - A review","authors":"Zibin Pan, Zhi Dang, Zuliang Chen","doi":"10.1016/j.jclepro.2025.144914","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144914","url":null,"abstract":"Acid mine drainage (AMD) causes serious ecological and environmental pollution problems, which is now a worldwide concern due to the large amounts of toxic metallic elements/metalloids components. How to treat AMD and recover/reuse its valuable resources has become one of the most significant research topics in what is known as the resource-based circular economy. In this review, recent advances in research are discussed regarding AMD in terms of formation, hazards, treatment technologies, as well as synthesis of nanomaterials combined with high value utilization or recycling of resources. Firstly, the process of forming AMD and its hazards to the mine location environment, including soil and water, were described. Secondly, the recovery of valuable resources such as Cu, Fe, Al and rare earth elements from AMD and their several kinds of applications (catalysts, synthesis of nanomaterials, semiconductors, etc.) are summarized. Thirdly, the advantages and disadvantages of the various technologies currently available for treating AMD and their present status of research are analyzed, which indicates that adsorption is one of the major contentious topics of research and is described in detail. Then, various methods and mechanisms for the synthesis of adsorbent nanomaterials such as common chemical and biological methods and their applications in AMD treatment/resource recovery were introduced. Finally, recent achievements and fresh insights into the integration of AMD treatment with the synthesis of nanomaterials were comprehensively presented, which include the synthesis of nanomaterials in AMD and the simultaneous recovery of valuable metals based on a variety of methods such as chemical, biological, and industrial waste. We aim to contribute some new light to future research by presenting these advances and challenges regarding nanomaterials synthesis and AMD treatment/resource reuse.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"28 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056706","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}
Pub Date : 2025-01-29DOI: 10.1016/j.jclepro.2025.144886
Xinyu Jiang, Fulin Qu, Yuying Zhang, Xiaohong Zhu, Andy Y.F. Leung, Chi Sun Poon, Daniel C.W. Tsang
Permeable concrete pavement is considered an effective means to alleviate the increasingly severe urban heat island effect. Traditional design emphasizes rapid water discharge but does not retain water to regulate the localized high temperature. To design high-evaporation permeable bricks, biochar is mixed as a moisture-absorbing filler in the artificial aggregates (AA). The compressive strength, bulk density, pore range, and crystal phase distribution of AA with 0-30% biochar content were tested. Then, the permeable bricks prepared by replacing natural aggregates (NA) by 0-50% AA were evaluated in terms of compressive strength, porosity, pore structure distribution, water absorption, permeability, and evaporation rate. Our results showed that biochar had a relatively high specific surface area and effectively improved the thermal performance of permeable bricks. The AA produced with 30% biochar met the standard for lightweight aggregates (LA). Replacing NA by AA would unavoidably affect the compressive strength, permeability, pore structure, and evaporation rate of the permeable bricks. Nevertheless, 50% AA substitution displayed better elongation and evaporation ability while complying with the strength requirements. The capillary water absorption rate of permeable bricks increased from 0.364 to 1.108 kg/m2h0.5, and the surface temperature was ∼14 °C lower than that of traditional design under wet condition. Moreover, the cooling process was extended by 21 h and AA improved the connected pore structure of permeable bricks. The life cycle assessment proved that our novel design could be carbon-negative, with a carbon sequestration of 110 kg/t of permeable bricks, thus contributing to the reduction of carbon footprints and promoting the development of green construction.
{"title":"Cold-bonded biochar-cement lightweight aggregates for evaporation-enhanced permeable bricks","authors":"Xinyu Jiang, Fulin Qu, Yuying Zhang, Xiaohong Zhu, Andy Y.F. Leung, Chi Sun Poon, Daniel C.W. Tsang","doi":"10.1016/j.jclepro.2025.144886","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144886","url":null,"abstract":"Permeable concrete pavement is considered an effective means to alleviate the increasingly severe urban heat island effect. Traditional design emphasizes rapid water discharge but does not retain water to regulate the localized high temperature. To design high-evaporation permeable bricks, biochar is mixed as a moisture-absorbing filler in the artificial aggregates (AA). The compressive strength, bulk density, pore range, and crystal phase distribution of AA with 0-30% biochar content were tested. Then, the permeable bricks prepared by replacing natural aggregates (NA) by 0-50% AA were evaluated in terms of compressive strength, porosity, pore structure distribution, water absorption, permeability, and evaporation rate. Our results showed that biochar had a relatively high specific surface area and effectively improved the thermal performance of permeable bricks. The AA produced with 30% biochar met the standard for lightweight aggregates (LA). Replacing NA by AA would unavoidably affect the compressive strength, permeability, pore structure, and evaporation rate of the permeable bricks. Nevertheless, 50% AA substitution displayed better elongation and evaporation ability while complying with the strength requirements. The capillary water absorption rate of permeable bricks increased from 0.364 to 1.108 kg/m<sup>2</sup>h<sup>0.5</sup>, and the surface temperature was ∼14 °C lower than that of traditional design under wet condition. Moreover, the cooling process was extended by 21 h and AA improved the connected pore structure of permeable bricks. The life cycle assessment proved that our novel design could be carbon-negative, with a carbon sequestration of 110 kg/t of permeable bricks, thus contributing to the reduction of carbon footprints and promoting the development of green construction.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"60 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143056709","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}
Suppressing temperature stratification is crucial for pilot-scale methanogenic reactor (MR) in two-phase anaerobic digestion. In this study, computational fluid dynamics was utilized to simulate changes in temperature distribution under various heating and hydraulic stirring conditions within the MR. Elevating heating temperature accelerated the process of the MR reaching the set temperature (35.5°C). However, excessively high heating temperature led to significant temperature differences. The maximum temperature difference varied from 2.15°C to 4°C when heating temperature ranged from 45°C to 75°C, respectively. Hydraulic stirring effectively mitigated temperature distribution, reducing the maximum temperature difference from 3°C to 1°C at stirring speed of 0.31 m/s when heating temperature was maintained at 55°C. The standard deviation of the temperatures at points P1-P5 and the average temperature decreased from 0.22 at 0.11 m/s to 0.076 at 0.31 m/s. Consequently, cumulative biogas production of the MR increased from 8.085 m³ to 12.975 m³ after implementing hydraulic stirring. Microbial community analysis revealed that methanogens were more susceptible to the effects of temperature distribution compared to bacteria. This study provides guidance for practical project implementations.
{"title":"Computational fluid dynamics simulation of temperature distribution in heated and stirred pilot-scale methanogenic reactor","authors":"Chuqiao Wang, Chaowei Kang, Shuiming Liu, Shan Huang, Xizi Long, Yuying Hu, Shuai Zhang, Jiajie Zhang","doi":"10.1016/j.jclepro.2025.144883","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144883","url":null,"abstract":"Suppressing temperature stratification is crucial for pilot-scale methanogenic reactor (MR) in two-phase anaerobic digestion. In this study, computational fluid dynamics was utilized to simulate changes in temperature distribution under various heating and hydraulic stirring conditions within the MR. Elevating heating temperature accelerated the process of the MR reaching the set temperature (35.5°C). However, excessively high heating temperature led to significant temperature differences. The maximum temperature difference varied from 2.15°C to 4°C when heating temperature ranged from 45°C to 75°C, respectively. Hydraulic stirring effectively mitigated temperature distribution, reducing the maximum temperature difference from 3°C to 1°C at stirring speed of 0.31 m/s when heating temperature was maintained at 55°C. The standard deviation of the temperatures at points P1-P5 and the average temperature decreased from 0.22 at 0.11 m/s to 0.076 at 0.31 m/s. Consequently, cumulative biogas production of the MR increased from 8.085 m³ to 12.975 m³ after implementing hydraulic stirring. Microbial community analysis revealed that methanogens were more susceptible to the effects of temperature distribution compared to bacteria. This study provides guidance for practical project implementations.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"17 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143057353","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}
Pub Date : 2025-01-28DOI: 10.1016/j.jclepro.2025.144843
Joseph Junior ADUBA, Behrooz Asgari, Yassin Ennaji, Koji Shimada
As the world grapples with climate change and other environmental issues caused by unsustainable production and consumption, the industrial sector has come under greater scrutiny in recent years. The consensus is that appropriate energy saving measures [energy management] in the industrial sector could significantly cut energy consumption and consequently contribute to emission abatement without harming economic growth. The implication is that energy management is both a mitigation and an internal cost control strategy to achieve industrial competitiveness. This paper examines the potential cost advantage from sustainable energy management practices in the manufacturing sectors. We theorized that changes in economic cost of energy consumption stemming from technological improvement and /or deliberate energy saving measures and policies can be captured by cumulative energy management experience (learning-by-consumption). Thus, we derived a multifactor learning model that allows previous energy management experience to improve current energy consumption, and we applied the model to two decades long energy data of manufacturing industry under robust econometric specifications. The results show strong evidence of decreasing unit costs of energy due to learning effects. As a robustness check, we analyze the relationship between learning rates and energy efficiency scores. The result confirms that our estimated economic cost advantage (learning rates) is positively correlated with energy efficiency scores suggesting that learning sectors are also energy efficient sectors. Sectoral results show energy-intensive sectors have higher learning potential than non-energy-intensive sectors. The Implications of the findings are discussed.
{"title":"Impact of Learning on Energy Consumption and Energy Efficiency: Empirical Evidence from Manufacturing Industry","authors":"Joseph Junior ADUBA, Behrooz Asgari, Yassin Ennaji, Koji Shimada","doi":"10.1016/j.jclepro.2025.144843","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144843","url":null,"abstract":"As the world grapples with climate change and other environmental issues caused by unsustainable production and consumption, the industrial sector has come under greater scrutiny in recent years. The consensus is that appropriate energy saving measures [energy management] in the industrial sector could significantly cut energy consumption and consequently contribute to emission abatement without harming economic growth. The implication is that energy management is both a mitigation and an internal cost control strategy to achieve industrial competitiveness. This paper examines the potential cost advantage from sustainable energy management practices in the manufacturing sectors. We theorized that changes in economic cost of energy consumption stemming from technological improvement and /or deliberate energy saving measures and policies can be captured by cumulative energy management experience (learning-by-consumption). Thus, we derived a multifactor learning model that allows previous energy management experience to improve current energy consumption, and we applied the model to two decades long energy data of manufacturing industry under robust econometric specifications. The results show strong evidence of decreasing unit costs of energy due to learning effects. As a robustness check, we analyze the relationship between learning rates and energy efficiency scores. The result confirms that our estimated economic cost advantage (learning rates) is positively correlated with energy efficiency scores suggesting that learning sectors are also energy efficient sectors. Sectoral results show energy-intensive sectors have higher learning potential than non-energy-intensive sectors. The Implications of the findings are discussed.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"52 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143055417","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}
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