Pub Date : 2026-03-18DOI: 10.1016/j.jclepro.2026.148032
Uzair Jamil, Joshua M. Pearce
Agrivoltaics is a land efficient sustainable production system that simultaneously produces food and renewable electricity while reducing environmental harm. Agrivoltaic systems alter microclimates by modifying the quantity and quality of solar radiation reaching crops, yet limited research has examined these effects for root vegetables. This study investigates the influences of photovoltaic (PV) module type, transparency, and spectral properties on radiation transmission, photosynthetically active radiation, and turnip (rutabaga) yield. This is the first known study globally to investigate agrivoltaic production of turnips. Thirteen PV module treatments, including wafer-based crystalline silicon (c-Si) and thin-film cadmium telluride (CdTe) at multiple transparency levels, were tested under outdoor conditions. Results show that crop performance depended strongly on both the shading pattern and light spectrum. Thin-film CdTe modules, which provide uniform shading, optimized yield at 50–60% transparency, while c-Si modules with non-uniform shading patterns performed best at 8% transparency. In both cases, fresh turnip biomass increased up to threefold compared to full-sun controls, underscoring the role of moderated radiation and improved microclimate in alleviating heat and light stress. Spectral effects were also evident: modules enhancing blue light transmission promoted leaf biomass, whereas green-shifted spectra suppressed root development. Extrapolation to national scale suggests agrivoltaic adoption in Canada could generate CAD$33.93B in agricultural revenue and CAD$1.98B in solar electricity sales over 25 years, while reducing over one million tonnes of carbon emissions. This work highlights how PV transparency and spectral transmission fundamentally shape crop-atmosphere interactions in agrivoltaic systems, with implications for climate-resilient food production and dual land-use strategies.
{"title":"Effects of thin-film and wafer-based photovoltaic module transparency and spectral properties on microclimate and turnip yield in agrivoltaic systems","authors":"Uzair Jamil, Joshua M. Pearce","doi":"10.1016/j.jclepro.2026.148032","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.148032","url":null,"abstract":"Agrivoltaics is a land efficient sustainable production system that simultaneously produces food and renewable electricity while reducing environmental harm. Agrivoltaic systems alter microclimates by modifying the quantity and quality of solar radiation reaching crops, yet limited research has examined these effects for root vegetables. This study investigates the influences of photovoltaic (PV) module type, transparency, and spectral properties on radiation transmission, photosynthetically active radiation, and turnip (rutabaga) yield. This is the first known study globally to investigate agrivoltaic production of turnips. Thirteen PV module treatments, including wafer-based crystalline silicon (c-Si) and thin-film cadmium telluride (CdTe) at multiple transparency levels, were tested under outdoor conditions. Results show that crop performance depended strongly on both the shading pattern and light spectrum. Thin-film CdTe modules, which provide uniform shading, optimized yield at 50–60% transparency, while c-Si modules with non-uniform shading patterns performed best at 8% transparency. In both cases, fresh turnip biomass increased up to threefold compared to full-sun controls, underscoring the role of moderated radiation and improved microclimate in alleviating heat and light stress. Spectral effects were also evident: modules enhancing blue light transmission promoted leaf biomass, whereas green-shifted spectra suppressed root development. Extrapolation to national scale suggests agrivoltaic adoption in Canada could generate CAD$33.93B in agricultural revenue and CAD$1.98B in solar electricity sales over 25 years, while reducing over one million tonnes of carbon emissions. This work highlights how PV transparency and spectral transmission fundamentally shape crop-atmosphere interactions in agrivoltaic systems, with implications for climate-resilient food production and dual land-use strategies.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"1 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147489452","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}
Paddy fields are a major anthropogenic source of methane (CH4) and nitrous oxide (N2O), yet their global trade-offs remain poorly quantified. We compiled a global paddy GHG database comprising 2589 field observations from 271 peer-reviewed studies, integrating climate, soil, management, and crop variables. Key predictors of CH4 and N2O intensity were identified using ANOVA and chi-square tests, and a Bayesian Belief Network (BBN) with 12 predictors and three targets (CH4, N2O, yield) was constructed to capture conditional dependencies. Three imputation strategies, raw (no imputation), public dataset interpolation (PDI), and random forest interpolation (RFI), all showed strong validation (accuracy and F1 ≈ 0.87; log-loss = 0.34–0.62), with PDI achieving the most balanced performance. Spatial simulations demonstrated that CH4 concentrated in South and Southeast Asia, China's Yangtze Basin, and South America, while N2O risks emerged in South Asia, East Asia, and parts of Africa. Uncertainty was highest in Sub-Saharan Africa and Latin America due to limited data. Scenario simulations indicated modest global responses but strong regional contrasts: alternate wetting and drying (AWD) reduced CH4 high-emission risk by up to ∼30%, and combined AWD + reduced nitrogen achieved co-mitigation with greater N2O decline. Quadrant analysis showed Brazil and MENA countries exhibiting dual reductions, Asian producers (China, India, Vietnam) showing CH4–N2O trade-offs, and Sub-Saharan Africa and Uruguay showing dual increases. This probability-based framework advances meta-analysis approaches and supports climate-smart rice management.
{"title":"Uncovering drivers and mitigation synergies of global paddy CH4 and N2O emissions using a Bayesian Belief Network","authors":"Zijian Tang, Yifan Qin, Jiaping Lang, Tida Ge, Zhenke Zhu, Jianping Chen, Xuebin Xu","doi":"10.1016/j.jclepro.2026.147994","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.147994","url":null,"abstract":"Paddy fields are a major anthropogenic source of methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O), yet their global trade-offs remain poorly quantified. We compiled a global paddy GHG database comprising 2589 field observations from 271 peer-reviewed studies, integrating climate, soil, management, and crop variables. Key predictors of CH<sub>4</sub> and N<sub>2</sub>O intensity were identified using ANOVA and chi-square tests, and a Bayesian Belief Network (BBN) with 12 predictors and three targets (CH<sub>4</sub>, N<sub>2</sub>O, yield) was constructed to capture conditional dependencies. Three imputation strategies, raw (no imputation), public dataset interpolation (PDI), and random forest interpolation (RFI), all showed strong validation (accuracy and F1 ≈ 0.87; log-loss = 0.34–0.62), with PDI achieving the most balanced performance. Spatial simulations demonstrated that CH<sub>4</sub> concentrated in South and Southeast Asia, China's Yangtze Basin, and South America, while N<sub>2</sub>O risks emerged in South Asia, East Asia, and parts of Africa. Uncertainty was highest in Sub-Saharan Africa and Latin America due to limited data. Scenario simulations indicated modest global responses but strong regional contrasts: alternate wetting and drying (AWD) reduced CH<sub>4</sub> high-emission risk by up to ∼30%, and combined AWD + reduced nitrogen achieved co-mitigation with greater N<sub>2</sub>O decline. Quadrant analysis showed Brazil and MENA countries exhibiting dual reductions, Asian producers (China, India, Vietnam) showing CH<sub>4</sub>–N<sub>2</sub>O trade-offs, and Sub-Saharan Africa and Uruguay showing dual increases. This probability-based framework advances meta-analysis approaches and supports climate-smart rice management.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"120 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147489456","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}
As large-scale recycling of scrap tires into crumb rubber modified asphalt (CRMA) is promoted as a cleaner production strategy, the mechanistic of scrap tire crumb rubber at the asphalt-aggregate interface, especially under moisture condition, remains poorly understood. This study aims to elucidate the synergistic mechanisms of the particle effect (PE) and interaction effect (IE) of scrap tire crumb rubber (CR) on the interfacial adhesion performance between crumb rubber modified asphalt (CRMA) and aggregates. Fourier-transform infrared spectroscopy (FTIR), pull-off tests, and the moisture-induced shear thinning index (MISTI) test were conducted to evaluate asphalt-aggregate interfacial adhesion before and after filtration considering different CR particle sizes and contents. FTIR analysis indicated that CR selectively absorbed aromatic fractions and enhanced polarity-related signatures within CRMA. Pull-off tests and interfacial failure mode identification showed that 60-mesh CR at 10%-15% CR content achieved an optimal balance between IE enhancement and PE interference. MISTI results confirmed that CR modification reduced interfacial moisture sensitivity, whereas filtration increased it, indicating that CR particles reduce moisture-induced interfacial disturbance. Grey relational analysis (GRA) indicated that CR content act as the dominant factor influencing interfacial adhesion, while particle size act as a secondary, non-linear factor. Accordingly, 6015 CRMA was recommended as the optimal combination. The findings in this study elucidate the mechanisms governing an enhancement in CRMA-aggregate interfacial adhesion and provide theoretical guidance for the design and application of high-performance CRMA mixtures.
{"title":"Particle effect and interaction effect of scrap tire crumb rubber on adhesion of asphalt-aggregate interface","authors":"Fusen Zheng, Zixuan Chen, Wentao Hu, Dongliang Hu, Shuxian Zhang, Jiupeng Zhang","doi":"10.1016/j.jclepro.2026.147959","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.147959","url":null,"abstract":"As large-scale recycling of scrap tires into crumb rubber modified asphalt (CRMA) is promoted as a cleaner production strategy, the mechanistic of scrap tire crumb rubber at the asphalt-aggregate interface, especially under moisture condition, remains poorly understood. This study aims to elucidate the synergistic mechanisms of the particle effect (PE) and interaction effect (IE) of scrap tire crumb rubber (CR) on the interfacial adhesion performance between crumb rubber modified asphalt (CRMA) and aggregates. Fourier-transform infrared spectroscopy (FTIR), pull-off tests, and the moisture-induced shear thinning index (MISTI) test were conducted to evaluate asphalt-aggregate interfacial adhesion before and after filtration considering different CR particle sizes and contents. FTIR analysis indicated that CR selectively absorbed aromatic fractions and enhanced polarity-related signatures within CRMA. Pull-off tests and interfacial failure mode identification showed that 60-mesh CR at 10%-15% CR content achieved an optimal balance between IE enhancement and PE interference. MISTI results confirmed that CR modification reduced interfacial moisture sensitivity, whereas filtration increased it, indicating that CR particles reduce moisture-induced interfacial disturbance. Grey relational analysis (GRA) indicated that CR content act as the dominant factor influencing interfacial adhesion, while particle size act as a secondary, non-linear factor. Accordingly, 6015 CRMA was recommended as the optimal combination. The findings in this study elucidate the mechanisms governing an enhancement in CRMA-aggregate interfacial adhesion and provide theoretical guidance for the design and application of high-performance CRMA mixtures.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"45 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147489453","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 : 2026-03-18DOI: 10.1016/j.jclepro.2026.148029
Ye Liu, Hualin Li, Shouhong Zhang
Sustainable watershed governance requires navigating critical thresholds in the coordination of ecological-social-economic systems (ESES) across various scales. However, actionable frameworks to operationalize these thresholds remain limited. This study, focusing on China's Guishui River Basin (GRB), develops an integrated approach to identify scale-specific critical thresholds and translate them into targeted governance strategies. We harmonized multi-source spatial data—covering ecological, social, and economic dimensions—across three scales (grid, sub-watershed, and township). Spatial Durbin modeling (SDM) and segmented regression were applied synergistically to quantitatively identify the dominant drivers of coupling coordination (CCD) and their associated thresholds that trigger significant state transitions. Our results show that the northern and eastern parts of the GRB exhibit high ecological subsystem functionality, while the central region demonstrates stronger socio-economic subsystem values. The average CCD values for the ESES in the GRB were 0.557 at the grid scale, 0.679 at the sub-watershed scale, and 0.633 at the township scale. Spatially, the overall CCD pattern was high in the central-northern region and low in the eastern, southern, and south-central regions. Factors influencing CCD and their thresholds varied by scale: number of governments (124), technological innovation (36), and human activity (0.21) at the grid scale; slope (4.32°), human activity (0.11), and precipitation (746 mm) at the sub-watershed scale; and technological innovation (22), number of governments (102), and fractional vegetation cover (0.73) at the township scale. Based on these findings, we recommend governance strategies for areas with lower coupling coordination and propose integrated management policies tailored to the three scales. This framework provides an empirical pathway to convert multi-scale thresholds into precise governance, enhancing watershed resilience in the GRB, while also offering an adaptable methodological framework for analyzing scale-dependent thresholds in watersheds globally facing similar sustainability challenges.
{"title":"Operationalizing scale-specific thresholds for watershed sustainability: Ecological-social-economic coupling coordination in China's Guishui River Basin","authors":"Ye Liu, Hualin Li, Shouhong Zhang","doi":"10.1016/j.jclepro.2026.148029","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.148029","url":null,"abstract":"Sustainable watershed governance requires navigating critical thresholds in the coordination of ecological-social-economic systems (ESES) across various scales. However, actionable frameworks to operationalize these thresholds remain limited. This study, focusing on China's Guishui River Basin (GRB), develops an integrated approach to identify scale-specific critical thresholds and translate them into targeted governance strategies. We harmonized multi-source spatial data—covering ecological, social, and economic dimensions—across three scales (grid, sub-watershed, and township). Spatial Durbin modeling (SDM) and segmented regression were applied synergistically to quantitatively identify the dominant drivers of coupling coordination (CCD) and their associated thresholds that trigger significant state transitions. Our results show that the northern and eastern parts of the GRB exhibit high ecological subsystem functionality, while the central region demonstrates stronger socio-economic subsystem values. The average CCD values for the ESES in the GRB were 0.557 at the grid scale, 0.679 at the sub-watershed scale, and 0.633 at the township scale. Spatially, the overall CCD pattern was high in the central-northern region and low in the eastern, southern, and south-central regions. Factors influencing CCD and their thresholds varied by scale: number of governments (124), technological innovation (36), and human activity (0.21) at the grid scale; slope (4.32°), human activity (0.11), and precipitation (746 mm) at the sub-watershed scale; and technological innovation (22), number of governments (102), and fractional vegetation cover (0.73) at the township scale. Based on these findings, we recommend governance strategies for areas with lower coupling coordination and propose integrated management policies tailored to the three scales. This framework provides an empirical pathway to convert multi-scale thresholds into precise governance, enhancing watershed resilience in the GRB, while also offering an adaptable methodological framework for analyzing scale-dependent thresholds in watersheds globally facing similar sustainability challenges.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"51 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147489454","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 : 2026-03-18DOI: 10.1016/j.jclepro.2026.148014
Li Qiu, Wenhan Feng, Fengqin Li, Han Wang, Xingyi Wu
The discharge of treated nuclear wastewater from Japan into the Pacific Ocean in 2023 triggered widespread public concern and highlighted the urgent need to understand how social norms shape individual behavioral responses during environmental crises. Existing studies often treat behavioral expectations as static, overlooking their dynamic evolution under different policy conditions. This study constructs an agent-based model, VIBE (Visible and Interconnected Behavioral Expectations), to simulate how empirical expectations (EE, expectations about what other community members will do) and normative expectations (NE, expectations about what other community members think one ought to do) co-evolve and influence individual behavior across different stages of crisis response. Based on post-crisis survey data from 11 coastal provinces in China, the model tests three types of interventions implemented by governmental authorities, including behavioral visibility enhancement, indirect tie expansion, and direct behavioral prompts. The results show that: (i) direct behavioral prompts can increase response rates by up to 40% in the short term, but their effects diminish rapidly after withdrawal. (ii) Interventions combining visibility enhancement with indirect tie expansion sustain long-term behavioral participation, maintaining a response rate more than 20% higher even after the intervention ends. (iii) NE exerts a more stabilizing influence than EE in shaping individual decisions, with stronger NE dominance increasing response rates by about 10% in the baseline scenario. These findings provide theoretical and practical insights for designing behavioral intervention strategies during environmental crises by leveraging evolving social norms.
{"title":"Shaping social norms to promote individual response behavior in public crises: An agent-based modeling approach","authors":"Li Qiu, Wenhan Feng, Fengqin Li, Han Wang, Xingyi Wu","doi":"10.1016/j.jclepro.2026.148014","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.148014","url":null,"abstract":"The discharge of treated nuclear wastewater from Japan into the Pacific Ocean in 2023 triggered widespread public concern and highlighted the urgent need to understand how social norms shape individual behavioral responses during environmental crises. Existing studies often treat behavioral expectations as static, overlooking their dynamic evolution under different policy conditions. This study constructs an agent-based model, VIBE (Visible and Interconnected Behavioral Expectations), to simulate how empirical expectations (EE, expectations about what other community members will do) and normative expectations (NE, expectations about what other community members think one ought to do) co-evolve and influence individual behavior across different stages of crisis response. Based on post-crisis survey data from 11 coastal provinces in China, the model tests three types of interventions implemented by governmental authorities, including behavioral visibility enhancement, indirect tie expansion, and direct behavioral prompts. The results show that: (i) direct behavioral prompts can increase response rates by up to 40% in the short term, but their effects diminish rapidly after withdrawal. (ii) Interventions combining visibility enhancement with indirect tie expansion sustain long-term behavioral participation, maintaining a response rate more than 20% higher even after the intervention ends. (iii) NE exerts a more stabilizing influence than EE in shaping individual decisions, with stronger NE dominance increasing response rates by about 10% in the baseline scenario. These findings provide theoretical and practical insights for designing behavioral intervention strategies during environmental crises by leveraging evolving social norms.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"14 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147489455","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 : 2026-03-18DOI: 10.1016/j.jclepro.2026.148035
Lei Liu, Shanshan Shao, Xiaohua Li, Shiliang Wu
This study developed a green and integrated hydrothermal liquefaction process for efficiently converting cellulosic materials into ketone-based aviation fuel precursors. To address issues such as low hydrolysis efficiency and weak catalytic activity during biomass hydrothermal conversion, dielectric barrier discharge non-thermal plasma pretreatment was employed, combined with an Fe/NaHCO3 synergistic catalytic system to regulate the reaction microenvironment and enhance product selectivity. First, plasma pretreatment utilizes high-energy electrons and active particles to disrupt the crystalline regions and hydrogen bonding network of cellulose, significantly reducing its crystallinity and exposing more reactive hydroxyl sites, thereby improving the hydrolysis and conversion efficiency of cellulose under hydrothermal conditions. Experimental results showed that after DNTP pretreatment at 12 kV for 15 min, the relative peak area of ketone products from cellulose increased by 28.2% compared to the untreated sample under hydrothermal conditions of 260 °C for 30 min. Furthermore, the introduction of NaHCO3 together with Fe formed a synergistic catalytic system. The alkalinity of NaHCO3 effectively neutralizes organic acids generated during liquefaction, eliminating H+ poisoning of Fe active sites, while promoting the conversion of Fe into highly active Fe3O4 and enhancing the Fe3+/Fe2+ redox cycle. This suppresses intermediate condensation and coking, thereby improving the selectivity and carbon efficiency of ketone synthesis. Using holocellulose derived from rapeseed straw as feedstock, a ketone selectivity of 60.7% was achieved at an Fe-NaHCO3 mixing ratio of 1:1. This process is characterized by its green nature, high efficiency, and ease of catalyst recovery, offering a promising technological pathway for the production of sustainable aviation fuels from biomass.
{"title":"Green upcycling of jet fuel precursors via hydrothermal liquefaction of plasma-pretreated cellulosic materials over an Fe–alkaline catalyst","authors":"Lei Liu, Shanshan Shao, Xiaohua Li, Shiliang Wu","doi":"10.1016/j.jclepro.2026.148035","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.148035","url":null,"abstract":"This study developed a green and integrated hydrothermal liquefaction process for efficiently converting cellulosic materials into ketone-based aviation fuel precursors. To address issues such as low hydrolysis efficiency and weak catalytic activity during biomass hydrothermal conversion, dielectric barrier discharge non-thermal plasma pretreatment was employed, combined with an Fe/NaHCO<sub>3</sub> synergistic catalytic system to regulate the reaction microenvironment and enhance product selectivity. First, plasma pretreatment utilizes high-energy electrons and active particles to disrupt the crystalline regions and hydrogen bonding network of cellulose, significantly reducing its crystallinity and exposing more reactive hydroxyl sites, thereby improving the hydrolysis and conversion efficiency of cellulose under hydrothermal conditions. Experimental results showed that after DNTP pretreatment at 12 kV for 15 min, the relative peak area of ketone products from cellulose increased by 28.2% compared to the untreated sample under hydrothermal conditions of 260 °C for 30 min. Furthermore, the introduction of NaHCO<sub>3</sub> together with Fe formed a synergistic catalytic system. The alkalinity of NaHCO<sub>3</sub> effectively neutralizes organic acids generated during liquefaction, eliminating H<sup>+</sup> poisoning of Fe active sites, while promoting the conversion of Fe into highly active Fe<sub>3</sub>O<sub>4</sub> and enhancing the Fe<sup>3+</sup>/Fe<sup>2+</sup> redox cycle. This suppresses intermediate condensation and coking, thereby improving the selectivity and carbon efficiency of ketone synthesis. Using holocellulose derived from rapeseed straw as feedstock, a ketone selectivity of 60.7% was achieved at an Fe-NaHCO<sub>3</sub> mixing ratio of 1:1. This process is characterized by its green nature, high efficiency, and ease of catalyst recovery, offering a promising technological pathway for the production of sustainable aviation fuels from biomass.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"14 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147492775","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}
Converting industrial solid wastes into efficient adsorbents for heavy metal ions via thermal processing represents a promising yet challenged strategy, often limited by low efficiency, complex mechanisms, and undefined inter-site interactions. Herein, a Ca/Al/Si-rich paper mill sludge (PS) was transformed into a multiple active sites-coordinated porous carbon (PSC850) via controlled high-temperature activation. Despite micropore collapse above 750 °C, high-temperature treatment promoted CaCO3 decomposition into reactive Ca(OH)2, CaS and exposed α-Al2O3/α-SiO2 phases, establishing a hierarchical adsorption mechanism dominated by chemical precipitation, ion exchange, and surface complexation. PSC850 achieved maximum adsorption capacities of 1063.0, 252.6, and 247.6 mg g−1 for Pb2+, Cu2+, and Cd2+ in single-ion systems, respectively, with near-complete removal across pH 3-6. In competitive multi-component systems, Pb2+ and Cu2+ retain high capacities (290.1 and 214.0 mg g−1), overcoming persistent limitations of site masking and pH limitations of conventional solid waste-derived adsorbents.
通过热处理将工业固体废物转化为重金属离子的有效吸附剂是一种有前途但充满挑战的策略，通常受到低效率、复杂机制和不确定的位点间相互作用的限制。本文以富Ca/Al/ si造纸厂污泥（PS）为研究对象，通过可控高温活化将其转化为多活性位点配位多孔碳（PSC850）。尽管在750℃以上微孔坍塌，但高温处理促进CaCO3分解为活性Ca(OH)2、Ca和暴露α-Al2O3/α-SiO2相，建立了以化学沉淀、离子交换和表面络合为主的分级吸附机制。PSC850在单离子体系中对Pb2+、Cu2+和Cd2+的最大吸附量分别为1063.0、252.6和247.6 mg g−1，在pH值3-6范围内几乎完全去除。在竞争性多组分系统中，Pb2+和Cu2+保持高容量（290.1和214.0 mg g - 1），克服了传统固体废物来源吸附剂的位置掩蔽和pH限制的持续限制。
{"title":"New insights into divalent metal ions removal by sludge-derived porous carbon: Thermal evolution and synergistic adsorption at multi-active sites","authors":"Wenping Zhang, Shihao Zhang, Liang He, Yihao Li, Yong Wen, Zilian Liu, Rongrong Miao, Huajing Zhou, Xiaoyong Deng","doi":"10.1016/j.jclepro.2026.147992","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.147992","url":null,"abstract":"Converting industrial solid wastes into efficient adsorbents for heavy metal ions via thermal processing represents a promising yet challenged strategy, often limited by low efficiency, complex mechanisms, and undefined inter-site interactions. Herein, a Ca/Al/Si-rich paper mill sludge (PS) was transformed into a multiple active sites-coordinated porous carbon (PSC<sub>850</sub>) via controlled high-temperature activation. Despite micropore collapse above 750 °C, high-temperature treatment promoted CaCO<sub>3</sub> decomposition into reactive Ca(OH)<sub>2</sub>, CaS and exposed <em>α</em>-Al<sub>2</sub>O<sub>3</sub>/<em>α</em>-SiO<sub>2</sub> phases, establishing a hierarchical adsorption mechanism dominated by chemical precipitation, ion exchange, and surface complexation. PSC<sub>850</sub> achieved maximum adsorption capacities of 1063.0, 252.6, and 247.6 mg g<sup>−1</sup> for Pb<sup>2+</sup>, Cu<sup>2+</sup>, and Cd<sup>2+</sup> in single-ion systems, respectively, with near-complete removal across pH 3-6. In competitive multi-component systems, Pb<sup>2+</sup> and Cu<sup>2+</sup> retain high capacities (290.1 and 214.0 mg g<sup>−1</sup>), overcoming persistent limitations of site masking and pH limitations of conventional solid waste-derived adsorbents.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"20 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147461842","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 : 2026-03-16DOI: 10.1016/j.jclepro.2026.148015
China's Green Manufacturing plays a key role in advancing the green transformation of the manufacturing sector. This study investigates whether green …
中国的绿色制造在推动制造业绿色转型中发挥着关键作用。这项研究调查了绿色是否……
{"title":"Integrate green into manufacturing? The impact of green factory certification on corporate green technology convergence in China","authors":"","doi":"10.1016/j.jclepro.2026.148015","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.148015","url":null,"abstract":"China's Green Manufacturing plays a key role in advancing the green transformation of the manufacturing sector. This study investigates whether green …","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"233 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147461843","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}
The authors regret that the funding acknowledgement was inadvertently omitted from the original article. The Acknowledgement section should be updated to include the following financial support: this work was supported by the National Natural Science Foundation of China (Grant Nos. 42501359 and 42230106) and the Fundamental Research Funds for the Central Universities (Grant No. 2243100014).
{"title":"Corrigendum to “Maximising the benefits of sustainable development target interactions: An integrated priority analytical model applied to China” [J. Clean. Prod. 529 (2025) 146764]","authors":"Yuanhui Wang, Rotem Zelingher, Nikita Strelkovskii, Changqing Song, Peichao Gao","doi":"10.1016/j.jclepro.2026.147997","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.147997","url":null,"abstract":"The authors regret that the funding acknowledgement was inadvertently omitted from the original article. The Acknowledgement section should be updated to include the following financial support: this work was supported by the <span>National Natural Science Foundation of China</span> (Grant Nos. <span><span>42501359</span></span> and <span><span>42230106</span></span>) and the <span>Fundamental Research Funds for the Central Universities</span> (Grant No. <span><span>2243100014</span></span>).","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"25 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147448059","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 : 2026-03-10Epub Date: 2026-02-27DOI: 10.1016/j.jclepro.2026.147867
Sacha Dawid , Sergi Vinardell , César Valderrama
Decoupling greenhouse gas (GHG) emissions from economic growth has become a critical aspect of climate policy. This study explores the feasibility of achieving absolute decoupling in the global energy sector by 2050 under three economic and emission reduction scenarios. A dynamic life cycle assessment (LCA) is conducted in the electricity and heat sub-sectors to account for supply chain emissions and evaluate discrepancies between reported and modeled emissions. The results reveal that, although certain scenarios offer the possibility of maintaining economic growth while reducing GHG emissions, transformative technological advancements and significant policy interventions are needed to achieve substantial reduction rates in both emissions and technology intensity (>10% annually). Achieving net-zero emissions by 2050 appears unlikely under the current economic framework. The study highlights the complex relationship between technological innovation, policy, and growth, suggesting that relying solely on technology improvements may not be sufficient to meet energy sector climate goals. The dynamic LCA results indicate that including supply chain emissions in the electricity and heat sub-sector increases total GHG emissions by 20% in 2023. The multiregional analysis revealed strong regional disparities, with technology intensity declining by 62% in Europe and 45% in Africa since 1990. These differences are even greater between OECD and non-OECD countries, reflecting variations in access to technology, investment capacity, and policy implementation. Overall, the study demonstrates that achieving ambitious emission reductions in the energy sector is challenging without major structural changes in economic and policy frameworks, especially when considering supply chain emissions.
{"title":"Can green economic growth and carbon emission reduction coexist? A decoupling study in the energy sector","authors":"Sacha Dawid , Sergi Vinardell , César Valderrama","doi":"10.1016/j.jclepro.2026.147867","DOIUrl":"10.1016/j.jclepro.2026.147867","url":null,"abstract":"<div><div>Decoupling greenhouse gas (GHG) emissions from economic growth has become a critical aspect of climate policy. This study explores the feasibility of achieving absolute decoupling in the global energy sector by 2050 under three economic and emission reduction scenarios. A dynamic life cycle assessment (LCA) is conducted in the electricity and heat sub-sectors to account for supply chain emissions and evaluate discrepancies between reported and modeled emissions. The results reveal that, although certain scenarios offer the possibility of maintaining economic growth while reducing GHG emissions, transformative technological advancements and significant policy interventions are needed to achieve substantial reduction rates in both emissions and technology intensity (>10% annually). Achieving net-zero emissions by 2050 appears unlikely under the current economic framework. The study highlights the complex relationship between technological innovation, policy, and growth, suggesting that relying solely on technology improvements may not be sufficient to meet energy sector climate goals. The dynamic LCA results indicate that including supply chain emissions in the electricity and heat sub-sector increases total GHG emissions by 20% in 2023. The multiregional analysis revealed strong regional disparities, with technology intensity declining by 62% in Europe and 45% in Africa since 1990. These differences are even greater between OECD and non-OECD countries, reflecting variations in access to technology, investment capacity, and policy implementation. Overall, the study demonstrates that achieving ambitious emission reductions in the energy sector is challenging without major structural changes in economic and policy frameworks, especially when considering supply chain emissions.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147867"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413606","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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