Journal of Cleaner Production最新文献

{"title":"Stimulating students’ learning about circularity challenges in agriculture with the CircAgri educational serious game","authors":"Myriam Grillot,&nbsp;Guillaume Martin","doi":"10.1016/j.jclepro.2026.147772","DOIUrl":"10.1016/j.jclepro.2026.147772","url":null,"abstract":"<div><div>In Western Europe, circular agriculture has been recommended as a production model to address the multiple environmental problems caused by input-intensive agriculture. Accordingly, the topic of circularity in agriculture and food systems is growing in university programs across Europe. Immersive educational activities are needed to promote experiential learning and development of the soft skills required to learn about the complex issues related to transitioning to more circular systems. Here, we present the approach we used to develop and apply CircAgri, an educational serious game that aims at engaging students in how to implement circularity in an agricultural region. This role-playing game consists of iteratively adjusting individual activities, in particular those related to production, the resulting biomass flows, and collective organization, especially the circulation of biomass flows in the region. Players monitor the effects of their decisions on circularity at individual and regional levels.</div><div>We tested CircAgri with 136 Master's students and 38 researchers and describe the results of 20 game plays (with 104 Master's students and 1 researcher). We show how the players adapted their strategies over successive game rounds to decrease the types and amounts of biomass imported into and exported from the region, and then reflected on circularity issues. CircAgri is an original serious game that teaches circularity in agriculture through an immersive experience. It stimulates learning about circularity through trial and error and reflection on effects on and potential trade-offs of individual and collective biomass management strategies. It also allows developing some of the soft skills required to implement circularity (e.g. negotiation, active listening). CircAgri is freely available in a print-and-play version and can be combined with other teaching methods to develop students' knowledge and competencies on circularity in university programs on agriculture and the environment. The approach followed in developing CircAgri is replicable on any other challenge involving multiple stakeholders to design serious games aiming at actively engaging students in working with and reflecting on sustainability. The game design process can also be used to reflect on key mechanisms and skills required to move towards more sustainable and circular agricultural systems.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147772"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413607","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}

{"title":"Soil carbon fractions and aggregate stability across management zones under flood-irrigated pecan orchards in an arid region","authors":"Rahmatullah Hashimi ,&nbsp;Girisha K. Ganjegunte ,&nbsp;Jhaman Das Suthar ,&nbsp;Saurav Kumar ,&nbsp;Santosh S. Palmate","doi":"10.1016/j.jclepro.2026.147871","DOIUrl":"10.1016/j.jclepro.2026.147871","url":null,"abstract":"<div><div>Soil organic carbon (SOC) dynamics in arid regions are influenced by climatic and edaphic factors; however, limited research has assessed how flood irrigation affects carbon fractions and their role in stabilizing soil aggregates in pecan orchards. This study evaluated the impact of three management zones, such as tree root zone (RT), inter-row (IR), and bare land (BL), on soil physical and chemical properties in a pecan orchard in El Paso, Texas. At the 0–15 cm depth, soil organic carbon (OC) and permanganate oxidizable carbon (POXC) were significantly higher in RT by 90.2% and 50.1%, than in IR. These differences were even more impressive with depth: at 15–30 cm, OC and POXC in RT were 124.6% and 97.2% higher than IR. Water-stable aggregates across all size classes were significantly higher under RT and BL compared to IR at all depths (0–75 cm). At 0–15 and 15–30 cm, the RT zone had significantly greater &gt;2 mm by 48.6% and 70.2%, respectively, than the IR zone. At 0–15 cm, the 0.5 and 0.25 mm aggregate fractions contained significantly higher total carbon (TC) than the 1 mm and &gt;2 mm fractions. At 15–30 cm, OC in the RT zone was higher than in the IR by 49.2% and 34.5% in the &gt;2 mm and 1 mm aggregate fractions, respectively. In contrast, IR showed greater soil inorganic carbon (SIC) at 15–30, 30–45, and 60–75 cm. In all management zones, Olsen-P in the 0–15 cm layer was higher than in the 30–70 cm layer. Positive significant correlations between &gt;2 mm aggregates and TC, OC, POXC, clay, silt, CEC, Olsen-P, and exchangeable cations suggest that organic matter inputs from pecan roots and leaf litter enhance soil structural stability. These findings indicate that increased OC and POXC in the RT zone contribute to improved soil resilience under arid conditions.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147871"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147292488","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}

{"title":"Advanced active learning and metaheuristic optimization framework for robust vehicle carbon footprint prediction using engine specifications and fuel efficiency metrics","authors":"Tian Liu","doi":"10.1016/j.jclepro.2026.147827","DOIUrl":"10.1016/j.jclepro.2026.147827","url":null,"abstract":"<div><div>This Study proposes a machine learning framework to predict vehicle carbon footprints using a large dataset of 10,000 vehicles collected from FuelEconomy.gov and manufacturers' technical documentation. The dataset includes five input variables-engine size, cylinders, city and highway fuel efficiency, and fuel type, one-hot encoded as diesel, gasoline, and hybrid, each chosen for their physical relevance to combustion behavior and CO₂ output. The target variable, carbon footprint (g CO₂/mi), spans 70-702 g CO₂/mi, whereas fuel type is highly imbalanced ≈(60% gasoline, 20% diesel, and 20% hybrid), which motivated the use of both cleaning and balancing procedures. Three modeling scenarios assessed based on the Original Dataset, the Cleaned Dataset, and the Cleaned &amp; Balanced Dataset. Under each scenario, GPR, BRR, RFR, and XGBR were trained using 10-fold repeated 5-fold cross-validation and evaluated using R² and RMSE. The mean R² values in GPR improved from 0.6864 (Original) to 0.7139 after cleaning (+4%) and further to 0.8308 after cleaning + balancing (+21%). RMSE decreased from 96.11 g CO₂/mi to 94.89 g CO₂/mi (−1.27%) after cleaning but then increased to 150.08 g CO₂/mi (+56%) after balancing, owing to the variance expansion caused by the rare, high-emission samples, an intuitive trade-off toward better fairness and reliability of predictions along the complete spectrum of emissions. To improve robustness, three hyperparameter optimization strategies were used: Grid Search, Bayesian Optimization, and Artificial Protozoa Optimizer. To save labeling costs without sacrificing predictive performance too much, the uncertainty-based sampling active learning framework is adopted. The proposed AL approach had robust performance, even with less labeled data. Tree-based models, such as the RFR-AL and XGBR-AL, achieved test RMSE values of 21.94 g CO₂/mi and 17.27 g CO₂/mi, respectively, with corresponding R² values of 0.9836 and 0.9898, surpassing the baseline GPR-AL, which yielded an RMSE of 26.41 g CO₂/mi and an R² of 0.9762, and closely matching the optimized GPAP performance. While BRR-AL variants resulted in slightly higher RMSE values owing to a lower number of labeled datapoints, all variants yielded PIs, indicating that greater AL had a PI of 0.0236, and RFR-AL of had a PI of 0.0300, outperforming.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147827"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147334651","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}

{"title":"Unravelling phosphorus mobilisation from sludge incineration ash: Organic-iron-phosphate complexation and aqueous speciation","authors":"Mengjun Mao ,&nbsp;Jun Guo ,&nbsp;Yunkun Qian ,&nbsp;Xinshan Song ,&nbsp;Shuo Zhang ,&nbsp;Chunyu Zhang ,&nbsp;Dong An","doi":"10.1016/j.jclepro.2026.147878","DOIUrl":"10.1016/j.jclepro.2026.147878","url":null,"abstract":"<div><div>Developing sustainable technologies to recover phosphorus from iron-rich waste, such as incinerated sewage sludge ash, represents a critical engineering challenge. Conventional acid-leaching processes suffer from high chemical consumption, equipment corrosion, and poor selectivity, necessitating energy-intensive and costly operations. Here, a novel and highly efficient recovery process is presented that overcomes these limitations by operating under mild conditions (pH 5, ambient temperature). The process achieved over 90% phosphorus extraction efficiency from iron phosphate (Fe-P), a result that defies traditional reliance on strong acidity. To uncover the mechanism enabling this breakthrough, a multiscale investigation combining kinetic analysis, spectroscopy, and computational chemistry was conducted. The results revealed a previously unrecognized phosphate-modulated dissolution pathway whereby phosphate anions actively induce the transformation of poorly soluble polynuclear iron-citrate aggregates into a highly stable and soluble mononuclear complex (CA-Fe³⁺-P, denoted as CF3P), confirmed by its spontaneous formation energy (ΔG = −117.47 kcal/mol). By forming this stable complex, iron and phosphate are sequestered together in a soluble aqueous form, which directly prevents reprecipitation of insoluble iron phosphate. These findings establish a new design principle for sustainable resource recovery, demonstrating that process efficiency can be achieved through targeted manipulation of molecular speciation under mild conditions, rather than relying on aggressive, high-input chemical approaches.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147878"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413056","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}

{"title":"Pollution haven or path to decarbonization? Assessing the co-control of pollution and carbon in China's industrial trade","authors":"Yawen Zhang ,&nbsp;Cuixia Gao ,&nbsp;Anna Gao","doi":"10.1016/j.jclepro.2026.147880","DOIUrl":"10.1016/j.jclepro.2026.147880","url":null,"abstract":"<div><div>Pollutants and carbon emissions share common origins, generating substantial synergies for integrated mitigation. Despite growing scholarly recognition of these synergies across multiple scales, their trade-driven co-reduction—particularly within industrial interregional trade networks—remains underexplored. In this study, we develop an Integrated Assessment Framework for Trade-driven Pollutants and Carbon Co-reduction (IAF-TPC), which integrates an environmentally extended multi-regional input-output (EE-MRIO) model, cross-elasticity (ELS) coefficient, and theoretical emission reduction metric. This framework systematically evaluates the theoretical emission reduction induced by China's interprovincial industrial trade, delineates the synergy degree between PR and CM, and identifies industrial subsectors contributing to synergistic outcomes. Results indicate that: (1) Hebei and Inner Mongolia function not only as major exporters of outsourced embodied carbon and air pollutants but also as primary contributors to emission reductions. Their principal outsourcing flows and mitigation contributions are directed toward Jiangsu, Zhejiang, and Guangdong. (2) Synergy analysis reveals that most industrial subsectoral and interprovincial transfer pathways exhibit limited synergy. Strong synergy dominated by pollution reduction is concentrated in outsourcing transfer pathways from Beijing-Tianjin-Hebei and Inner Mongolia, whereas strong synergy dominated by carbon reduction is distributed in outsourcing transfer pathways from clean-energy-rich regions like Southwest China. (3) Pathways from western manufacturing sector more easily achieve carbon-reduction dominated synergy, while those from central-eastern mining sector and power and heating supply sector tend toward pollution-reduction dominated synergy. This study elucidates the mechanism of pollution transfer-responsibility mismatch and offers a critical foundation for designing differentiated and province-specific responsibility allocation mechanisms within China's industrial sector.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147880"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413206","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}

{"title":"Dissolved oxygen abrupt variation and its hydrodynamic-based adjustability: phenomena identification, prediction model, and adaptive regulation strategies","authors":"Yi He ,&nbsp;Xizhi Nong ,&nbsp;Lihua Chen ,&nbsp;Jiahua Wei","doi":"10.1016/j.jclepro.2026.147889","DOIUrl":"10.1016/j.jclepro.2026.147889","url":null,"abstract":"<div><div>Abrupt fluctuations in dissolved oxygen (DO) can pose severe ecological risks, yet their short-term dynamics and driving mechanisms remain poorly understood. Especially in the water diversion-based hydroproject, frequent gate operations induce hydrodynamic perturbations, but it also provides a manipulative way for DO variations. Unlike traditional approaches that rely on fixed thresholds or single-indicator assessments of DO, this study develops a novel framework combining abrupt variation scenario classification, machine-learning modeling, and probabilistic control analysis to elucidate how hydrodynamic disturbances drive DO abrupt shift events. Four DO abrupt variation scenarios were defined via first-order difference and quartile thresholds. Using hydrodynamic variables and their lagged terms as inputs, an XGBoost multi-class classification model was trained to identify these scenarios, achieving overall accuracies of 63.0% ∼79.1% across four representative monitoring stations in the longest water diversion project in the world, the South-to-North Water Diversion Project of China. Feature importance analysis revealed that gate opening degree and flow rate contributed 15.34% and 11.63%, respectively, to scenario discrimination, highlighting the dominant drivers of DO transitions. One-dimensional and two-dimensional probabilistic response analyses further revealed spatial heterogeneity in DO sensitivity to hydrodynamic regulation, with distinct control potentials for strong increase versus weak increase scenarios. An enhanced feedback strategy then quantified optimal regulation paths for shifting DO from high-risk to recovery scenarios, yielding up to a 17.81% increase in target-scenario probability while minimizing control cost. These findings demonstrate that coupling data-driven modeling with precise hydrodynamic interventions offers a robust tool for mitigating DO instability in engineered water systems.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147889"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413209","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}

{"title":"Green glyphosate degradation via selectively cleaving C-N bonds in antibiotic residue biochar-activated peroxydisulfate systems","authors":"Xianjing Shi,&nbsp;Linghao Yu,&nbsp;Wuwei Guan,&nbsp;Nuanqin Zhang,&nbsp;Yiyi Shu,&nbsp;Falong Jia,&nbsp;Hongwei Sun,&nbsp;Zhihui Ai","doi":"10.1016/j.jclepro.2026.147868","DOIUrl":"10.1016/j.jclepro.2026.147868","url":null,"abstract":"<div><div>Pyrolyzing antibiotic bacterial residues into biochar materials (ABRBCs) offers a resource reuse strategy of disposing this hazardous waste and simultaneously applying itself into environmental catalysis. Herein, we for the first time synthesized ABRBCs at varied pyrolysis temperatures and subsequently evaluated their practicability in purifying herbicide-polluted wastewater with glyphosate (PMG) as the typical pollutant. Comprehensive structural characterizations combined with density functional theory (DFT) calculations revealed that ABRBC-600 bearing abundant surface redox-active moieties (RAMs), could activate peroxydisulfate (PDS) to ¹O₂ with 90.3% selectivity, while its terminal NH_x groups could stabilize the COOH moiety of PMG through peptide linkage-analogous interactions and thus expose H₂PO₃-adjacent C-N bonds for ¹O₂ electrophilic attack. As a result, the ABRBC-600/PMS realized 100% PMG degradation within 2 h with trace accumulation of toxic aminomethylphosphonic acid (AMPA) (&lt;0.1 mg L⁻¹). This study not only presents ABRBCs as a paradigm for the resource reuse but also sheds light on the importance of rational design of biochar materials to regulate persulfate activation for toxic-by-product-free herbicide degradation.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147868"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147330173","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}

{"title":"Composite score-based analysis of carbon capture strategies for sustainable natural gas-to-methanol: A comprehensive assessment","authors":"Karina Anaya,&nbsp;Jubil Joy,&nbsp;Amit Kumar","doi":"10.1016/j.jclepro.2026.147870","DOIUrl":"10.1016/j.jclepro.2026.147870","url":null,"abstract":"<div><div>Methanol production from natural gas remains highly carbon-intensive. Previous studies have examined its energy, environmental, or economic dimensions in isolation, often neglecting the combined influence of carbon capture, syngas quality adjustment, and process heat substitution under consistent boundaries. This study presents the first integrated techno-economic and environmental assessment of methanol production via steam methane reforming (SMR) and autothermal reforming (ATR), developed as a case study for Alberta, Canada. The analysis integrates detailed Aspen HYSYS simulations to evaluate energy performance, environmental footprint, and cost using Alberta-specific utility prices and grid emission factors. Thirty-seven configurations were evaluated across varying stoichiometric numbers (SNs), carbon capture strategies, and process heat sources (natural gas or hydrogen). SMR with natural gas utility and pre-combustion CCS achieved the highest net energy ratio (0.77), whereas SMR with hydrogen utility and full CCS yielded the lowest GHG emissions (0.48 kg CO₂_/kg-MeOH). The lowest minimum selling price (MSP, $229.13/t) occurred for SMR with natural gas utility, pre-CCS, and hydrogen by-product revenue. Composite scoring identified SMR (SN = 2.91, pre-CCS) and ATR (SN = 1.77, full CCS) as the most balanced low-carbon pathways. Integrating carbon pricing and hydrogen revenue reduced breakeven prices to $10/t-CO₂ (SMR) and $9/t-CO₂ (ATR). Morris and Monte Carlo analyses revealed natural gas price, carbon price, discount rate, and hydrogen storage duration as dominant cost drivers, with uncertainties in cost estimates of ±1.7 % for SMR and ±1.5 % for ATR. This work establishes a comprehensive framework to evaluate conventional reforming with CCS and by-product valorization toward competitive, low-carbon methanol production in fossil-reliant regions.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147870"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147334652","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}

{"title":"Successional agroforestry systems enhance environmental sustainability in cacao production: Evidence from a long-term trial","authors":"Pablo González-Socorro ,&nbsp;Laura Armengot ,&nbsp;Stéphane Saj ,&nbsp;David Pérez-Neira","doi":"10.1016/j.jclepro.2026.147860","DOIUrl":"10.1016/j.jclepro.2026.147860","url":null,"abstract":"<div><div>Cacao is a strategic crop in many tropical countries, but achieving a balance between productivity, sustainability, and food security represents a complex challenge. This study presents a robust, multidimensional evaluation of five cacao production systems that integrates the energy–water–emissions–food (EWEF) nexus framework with life cycle assessment (LCA) and nutritional functional units to assess long-term environmental sustainability. Based on a 12-year dataset (2010–2021) from a long-term trial, the analysis spans from the establishment of the plots to their maturity. The systems include full-sun monocultures and agroforestry under organic and conventional management, and a successional agroforest, i. e., a highly diverse and dense system without external inputs. Monocultures, especially conventional ones, achieved higher cacao yields (between 1.77 and 2.22 times) but worse environmental outcomes (between −2.5% and −94%). In contrast, agroforestry systems produced 5.2 times more food (cacao and associated crops) per hectare, improving resource use efficiency in terms of energy (3.6 times more efficient) and using less water per kilogram of total food produced (−96%). Additionally, nutritional quality indicators reached higher values in relation to water and energy use in agroforestry systems (4 to 14 times higher), mainly in the successional one. Compared with monocultures, agroforestry systems had lower environmental impacts across most of the analyzed categories, during both the young (2010–2016) and the mature phase (2017–2021). Organic management did not systematically report lower environmental impacts for all categories and functional units analyzed. Our findings indicate that successional agroforests combine efficient resource use with high nutritional quality, and achieve similar cacao yields to those of conventional and organic agroforestry systems. Overall, this study supports the potential of diversified agroforestry systems—especially successional agroforestry—to advance food security and sustainability goals in cacao production.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147860"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413203","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}

{"title":"Evaluation of the potential environmental impacts and benefits of producing alkali-activated concrete from bauxite residue","authors":"Luciano Viana ,&nbsp;João Augusto Lago Araújo Seixas ,&nbsp;Pierre-Luc Dessureault ,&nbsp;Julie-Élize Guérin ,&nbsp;Esteban Gonzalez ,&nbsp;Reza Jafari ,&nbsp;Ahmed Rahem ,&nbsp;Mathieu Fiset ,&nbsp;Annie Levasseur ,&nbsp;Jean-François Boucher","doi":"10.1016/j.jclepro.2026.147872","DOIUrl":"10.1016/j.jclepro.2026.147872","url":null,"abstract":"<div><div>The disposal of bauxite residue is one of the most challenging issues facing the aluminum industry. The only alumina refinery in Canada, located in the province of Québec, generates around one million tonnes of bauxite residue annually. In response to this challenge, and the growing demand from the construction industry for concrete with a low environmental impact, the utilization of bauxite residue in alkali-activated concrete emerges as a promising valorization pathway. This study presents a life cycle assessment (LCA) of alkali-activated concrete formulated with bauxite residue and fly ash sourced from coal-fired power plants. The main objective was to identify the conditions under which alkali-activated concrete could offer environmental advantages over conventional concrete. The results indicate that, under the most favorable scenarios, characterized by the use of unpretreated bauxite residue, the proximity of aluminosilicate precursors to concrete production facilities, and the supply of low-carbon sodium hydroxide and hydrothermal sodium silicate, most environmental impact categories can be reduced compared to portland cement concrete. In the case of greenhouse gas emissions, the reduction ranges from 43% to 59%. However, these benefits are highly sensitive to the availability of low-carbon sodium silicate and sodium hydroxide, as well as the availability, location, and mode of transport of aluminosilicate precursors. These findings underscore the importance of supply chain configuration. A multidisciplinary approach is needed to assess the environmental, technical, and logistical feasibility of a bauxite residue-based alkali-activated concrete sector in Québec and other regions where such residues are generated.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"549 ","pages":"Article 147872"},"PeriodicalIF":10.0,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147413204","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}