Journal of Cleaner Production最新文献

{"title":"Investigation of a novel hybrid-absorber wave energy converter combining linear (Raft-type) and point (Wavestar) absorbers for improved power extraction","authors":"Alireza Abbasi ,&nbsp;Hassan Ghassemi","doi":"10.1016/j.jclepro.2025.147284","DOIUrl":"10.1016/j.jclepro.2025.147284","url":null,"abstract":"<div><div>The development of hybrid-absorbers wave energy converters (HAWECs) has gained significant attention due to their enhanced energy absorption capabilities and integration potential with various renewable sources. This study introduces an innovative HAWEC configuration, incorporating a Raft-Type (RTP) linear-absorbers wave energy converter (LAWEC) coupled with Wavestars (WS) point-absorbers wave energy converters (PAWECs), forming the linear point absorber system (LPASYS). The research investigates the impact of WS positioning on energy extraction and system synergy across three different scenarios: LPS.1, with the widest WS separation on each raft; LPS.2, featuring moderate spacing; and LPS.3, where WSs are positioned far from the RTP hinge. The distance between two WSs in each raft changes by 25 % of the raft's length. Numerical simulations employ the finite volume method (FVM) with the k-ω SST turbulence model, optimizing computational efficiency through adaptive grid refinement (AGR) and adaptive time step (ATS) techniques. Key findings indicate that the RTP achieves peak power at 1.9 rad/s, while WS.1 dominates energy absorption. WS.4 exhibits improved power generation in scenario LPS.3, with efficiency gains at 1.9 rad/s and 2.7 rad/s. Scenario LPS.3 ensures optimal survivability, with the LPASYS reaching high average power outputs of 2.8 kW at 1.6 rad/s and 1.9 kW at 1.9 rad/s. Consequently, LPASYS achieves annual energy outputs of 25.57 MWh/yr, 24.34 MWh/yr, and 24.59 MWh/yr for LPS.1, LPS.2, and LPS.3, respectively, highlighting the system's overall efficiency across different operational conditions.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"538 ","pages":"Article 147284"},"PeriodicalIF":10.0,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732053","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":"Predicting microplastic impacts on microalgae: A machine learning approach to understand dynamic interactions in aquatic ecosystems","authors":"Yazhou Xu ,&nbsp;Yalei Zhang ,&nbsp;Libin Yang ,&nbsp;Kunsen Lin ,&nbsp;Bo-Yu Peng ,&nbsp;Jiabin Chen ,&nbsp;Xuefei Zhou","doi":"10.1016/j.jclepro.2025.147147","DOIUrl":"10.1016/j.jclepro.2025.147147","url":null,"abstract":"<div><div>Aquatic ecosystems are increasingly threatened by microplastic (MP) pollution, with microalgae, which are critical primary producers, exhibiting high sensitivity to MP-induced physiological stress. However, current models are inadequate for capturing the time-dependent dynamics of MP-microalgae interactions, particularly those shaped by environmental variability and the evolving physicochemical properties of MPs. In this study, we propose a comprehensive machine learning (ML) framework to model and predict the effects of MPs on microalgal growth. This study introduces a comprehensive machine learning (ML) framework to model and predict the impacts of MPs on microalgae growth. By integrating key MP characteristics (e.g., particle size, zeta potential, polymer type) with environmental parameters (e.g., temperature, light intensity), we constructed predictive models using six ML algorithms, including random forest and XGBoost, to evaluate both their predictive accuracy and explanatory power. Feature importance was quantified using SHAP analysis, which highlighted temperature, MP type, and zeta potential as dominant drivers of microalgal response. Furthermore, partial dependence plots (PDP) and individual conditional expectation (ICE) analyses revealed a temporal shift in influencing factors: environmental variables governed early-stage growth, whereas MP-specific properties became increasingly impactful over time. Among all models, XGBoost consistently demonstrated superior performance across time intervals. These results offer novel insights into the complex, time-resolved interplay between MPs, environmental stressors, and microalgae, informing strategies for managing microplastic pollution in aquatic environments.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"538 ","pages":"Article 147147"},"PeriodicalIF":10.0,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732054","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":"Comparative analysis of ethylene-vinyl acetate debonding with D-limonene and Trichloroethylene in a life cycle perspective: Towards the directional separation of end-of-life photovoltaic panels","authors":"Yanlin Wu ,&nbsp;Shuangyi Liu ,&nbsp;Bolin Chen ,&nbsp;Gilles Mailhot ,&nbsp;Jie Yang ,&nbsp;Min Zhao ,&nbsp;Xiaojiao Zhang ,&nbsp;Qin Xu ,&nbsp;Yaoguang Guo ,&nbsp;Shuai Chen ,&nbsp;Weiguo Dong ,&nbsp;Jie Guan","doi":"10.1016/j.jclepro.2025.147310","DOIUrl":"10.1016/j.jclepro.2025.147310","url":null,"abstract":"<div><div>The reuse of end-of-life (EOL) photovoltaic (PV) panels, which had become a prevalent renewable energy technology worldwide over recent decades, posed significant challenges. This study started the research with 7 different organic solvent, including trichloroethylene (TCE), toluene (TOL), D-limonene, isopropanol (IPA), ethyl acetate (EAC), ethanol and methanol, to create an innovative swelling-dissolution process and aim at facilitating the directional separation of EOL-PV components and reusing them. D-limonene showed the best efficiency and most environmental-friendly. Experimental findings revealed that with the solid-liquid ratio of 1:15 and the ultrasonic power setting of 200 W for 40 min, D-limonene achieved an ethylene-vinyl acetate (EVA) dissolution rate of 96.2 %. Characterization of the recovered materials showed that the glass, solar cell and backsheet maintained high physicochemical integrity, indicating significant potential for reuse. The byproducts of D-limonene and TCE systems were analyzed by GC-MS. Toxicity evaluation showed the byproducts of D-limonene system were less toxic than TCE system. Life cycle assessment (LCA) indicated its environmental superiority across multiple impact categories, highlighting the considerable environmental advantages of D-limonene. This research presented an effective and environmentally sustainable solution for EOL-PV recycling, offering a highly efficient approach for directional separation of EOL-PV panels.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"538 ","pages":"Article 147310"},"PeriodicalIF":10.0,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145728881","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":"Valorization of yellow phosphorus slag toward high-performance NaA zeolite for CO2 capture","authors":"Fangyuan Li ,&nbsp;Wei Jiang ,&nbsp;Zhongqiu Luo ,&nbsp;Xiunan Cai ,&nbsp;Fengmei Zhang ,&nbsp;Pingyan Wang ,&nbsp;Kuaimei Li ,&nbsp;Xintao Zhou","doi":"10.1016/j.jclepro.2025.147272","DOIUrl":"10.1016/j.jclepro.2025.147272","url":null,"abstract":"<div><div>Zeolitic materials are central to scalable CO₂ capture technologies, yet challenges remain in optimizing raw materials and enhancing performance characteristics. In this study, the direct conversion of yellow phosphorus slag (YPS), an abundant industrial by-product, into high-performance NaA zeolite was realized via a sequential acid leaching–fusion–crystallization strategy. The effect of NaAlO₂ dosage on the evolution of structural and textural properties was systematically investigated, revealing a progression from amorphous precursors to poorly crystalline phases and ultimately to highly crystalline NaA zeolite. However, crystallinity did not directly correlate with CO₂ uptake. The optimized NZ-4.6 sample, pretreated at 350 °C, exhibited breakthrough and saturation capacities of 2.47 and 3.54 mmol/g at 25 °C and 1.4 mL/min CO₂ flow in a fixed-bed reactor, outperforming commercial NaA zeolite (2.32 and 3.02 mmol/g). Kinetic analysis confirmed pseudo-first-order adsorption behavior with a rate constant approximately 3.2 times higher than that of the commercial counterpart, while Langmuir–Freundlich modeling predicted a theoretical maximum capacity of 5.25 mmol/g. NZ-4.6 retained over 99 % of its CO₂ capacity after 15 cycles, indicating excellent stability. Mechanistic insights from <em>in situ</em> FT-IR revealed that synergistic physisorption–chemisorption, mediated by (Na⁺ … CO₂)₂ adducts and bidentate carbonates, was responsible for the enhanced performance. This study demonstrates how industrial waste can be transformed into advanced sorbents, providing a “waste-treats-waste” approach to CO₂ mitigation. This work offers a high-value pathway for YPS treatment and provides practical insights for the preparation of derived zeolite adsorbents, advancing the “waste-treats-waste” approach to CO₂ mitigation.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"538 ","pages":"Article 147272"},"PeriodicalIF":10.0,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145728882","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":"Bio-based anhydride crosslinked furan-derived vitrimeric epoxy networks with intrinsic flame retardancy, self-healing capacity and recyclability","authors":"Tian-Mo Yang ,&nbsp;Hao-Xin Niu ,&nbsp;Wen-Jie Zheng ,&nbsp;Hao-Ran Jiang ,&nbsp;Yuan Hu ,&nbsp;Xin Wang","doi":"10.1016/j.jclepro.2025.147301","DOIUrl":"10.1016/j.jclepro.2025.147301","url":null,"abstract":"<div><div>To address the depletion of petroleum resources and the challenge of recycling epoxy resin, the development of green and recyclable bio-based alternatives to bisphenol A-type epoxy resins is urgently needed. In this study, a furan-derived epoxy monomer (diglycidyl furfurylamine, DGFA) was synthesized from furfurylamine, and a flame-retardant curing agent (9,10-dihydro-9-oxa-10-phosphaphenanthrene-10-oxide-maleic anhydride adduct, DOPO-MA) containing ester bonds was prepared via the addition of DOPO and maleic anhydride. Furan-derived epoxy vitrimers based on transesterification were fabricated by curing DGFA with a proportional mixture of DOPO-MA and glutaric anhydride. Compared with the neat vitrimer (DGFA-D₀G₁), the flame-retardant composites (DGFA-D₁G₁, DGFA-D₁G_1.5, DGFA-D₁G₂) all achieved a UL-94 V-0 rating, with the limiting oxygen index (LOI) increasing from 23.0 % to 32.0 %, 30.0 %, and 29.0 %, respectively. The peak heat release rate (PHRR) and total heat release (THR) were reduced by up to 48.6 % and 56.4 %, respectively. With the incorporation of DOPO-MA, the glass transition temperature (Tg) and rigidity of the flame-retardant vitrimers significantly increased. Notably, these composites exhibited excellent solvent resistance, even under strongly acidic conditions, and their degradation rate could be tailored by adjusting the temperature and mixed solution ratio to achieve on-demand removal. The DGFA-D₁G₂ sample demonstrated superior self-healing and recyclability: surface scratches were almost completely healed after heating at 150 °C for 25 min, and the tensile strength of the recycled sample retained 77.8 % of the original value, indicating well-preserved mechanical properties.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"538 ","pages":"Article 147301"},"PeriodicalIF":10.0,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731253","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":"China's household water demand scenarios under the carbon neutrality transition","authors":"Yu-Jie Jiao ,&nbsp;Ke-Jun Jiang ,&nbsp;Chen-Min He ,&nbsp;Sha Chen ,&nbsp;Pian-Pian Xiang","doi":"10.1016/j.jclepro.2025.147229","DOIUrl":"10.1016/j.jclepro.2025.147229","url":null,"abstract":"<div><div>This paper aims to deeply analyze the structural changes in China's household water use under the carbon neutrality transition path and predict its future development trend. By integrating key factors such as climate change, household water use habits, efficiency of water-using appliances, penetration rate and household income level, this study constructed a household water use module in the IPAC-Tech Water model, which noticeably improved the accuracy and reliability of the model in predicting future changes in water resource demand. This paper first reveals the differential characteristics of household water use in various regions of China and its potential connection with climate change through case analysis. Then, this paper sets up eight different scenarios to simulate and analyze the future household water technology structure and water demand. The results show that temperature change is a significant factor affecting household water consumption. It is estimated that by 2050, the additional water consumption caused by rising temperatures will account for 29.3 % of the total water consumption. In the absence of water-saving measures, per capita water consumption may reach 219.2 L d⁻¹ p⁻¹; In the scenario of extreme water-saving measures and environmental constraints, water consumption can be reduced to 83.5 L d⁻¹ p⁻¹; In the most likely scenario, per capita water consumption is expected to reach 137.1 L d⁻¹ p⁻¹ in 2050. In addition, this study predicts that the market share of water-saving water-using appliances will increase notably before 2040, and the use of water-saving appliances will reduce water consumption by 60 %. This paper also comprehensively scores household water-using appliances with different water efficiency levels and quantifies the actual water-saving effect of water-saving appliances. The study further reveals the decoupling phenomenon between socioeconomic development and domestic water consumption, pointing out that water prices and income have limited impact on household domestic water consumption. This study emphasizes that when formulating water resources management and water conservation strategies, attention should be paid to the impact of temperature changes and the market share of domestic water-using appliances with different energy efficiency levels. These findings provide a scientific basis for policymakers, which will help formulate effective water resources management and water conservation strategies and promote the sustainable use of water resources.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"538 ","pages":"Article 147229"},"PeriodicalIF":10.0,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732051","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":"Hybrid machine learning solutions for mitigating climate-induced productivity losses in sustainable construction management","authors":"Ali Shehadeh ,&nbsp;Odey Alshboul ,&nbsp;Mohammad F. Tamimi","doi":"10.1016/j.jclepro.2025.147285","DOIUrl":"10.1016/j.jclepro.2025.147285","url":null,"abstract":"<div><div>Climate change has contributed to increased weather extremes, which require new and proactive planning and workforce management practices in construction. This research created a hybrid machine learning model (HMLM) using XGBoost, LightGBM, and CatBoost to predict construction worker productivity across a variety of weather conditions. We trained these models for a decade-long dataset capturing daily weather parameters and productivity in U.S. construction sites. The ensemble methods were able to reduce the root mean square error (RMSE) to 4.50, a 10 % improvement over the best single model. Using the RCP 8.5 scenario, our analysis predicts substantial effects upon construction productivity due to climate change. The SHAP analysis showed that precipitation and temperature together contributed 15 % of the model’s total mean absolute SHAP importance on the test set, indicating their strong model-based influence on predicted productivity (not causation). On top of this, our findings showcase that temperature fluctuations from 15 °C to 35 °C and humidity from 40 % to 70 % could impact productivity by 7.5 %, while productivity under ideal conditions could be at 92.5 %. Accordingly, the understanding of these events used in project management has shown reductions in delays of up to 30 days while in adverse situations. A strong implementation of such a concept is found in this research showing how a construction firm could improve workforce performance and project duration by adapting for climate, and producing data-informed decision making by as much as 25 % -this research strongly advocates for a proactive management process around climate variability and uncertainty.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"538 ","pages":"Article 147285"},"PeriodicalIF":10.0,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731254","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":"Relationship between CO2 emissions and energy consumption sub-types under impact of AI-related patents and energy-related R&D investments: Evidence from the USA by novel quantile-based methods","authors":"Mustafa Tevfik Kartal ,&nbsp;Eonsoo Kim ,&nbsp;Shahriyar Mukhtarov ,&nbsp;Dilvin Taşkın ,&nbsp;Derviş Kirikkaleli ,&nbsp;Serpil Kılıç Depren ,&nbsp;Jinsu Park","doi":"10.1016/j.jclepro.2025.147299","DOIUrl":"10.1016/j.jclepro.2025.147299","url":null,"abstract":"<div><div>The importance of AI and R&amp;D investments has become increasingly salient in the context of rising carbon dioxide (CO₂) emissions. So, this study examines how CO₂ emissions relate to energy consumption (EC) sub-types and whether AI-related patents (AIP) and energy-related R&amp;D investments (ERD) moderate the relationship. In this vein, the study focuses on the USA, uses EC sub-types as explanatory variables, considers the moderating role of AIP and ERD, and applies novel quantile-based methods on data from 1981/Q2 to 2020/Q4. The results indicate that (i) oil and coal EC are associated with higher CO₂ emissions across quantiles in both bivariate and multivariate models; (ii) while gas EC increases CO₂ emissions across all quantiles in bivariate and multivariate cases, there is a decreasing impact at lower quantiles with ERD moderation; (iii) nuclear EC increases CO₂ emissions across all quantiles in bivariate case, whereas the impact changes under the moderating impacts of AIP and ERD; (iv) renewable EC decreases CO₂ emissions across all quantiles in bivariate case, while the reducing impact is almost same under the moderating impacts of AIP and ERD; (v) AIP has a much stronger moderating impact than ERD on relationship between CO₂ emissions and EC sub-types; (vi) there are generally causal impacts across quantiles, except for some lower, middle, and higher ones, where the causal impact varies across the variables pairs. Accordingly, the study outlines policy options consistent with the distributional patterns observed.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"538 ","pages":"Article 147299"},"PeriodicalIF":10.0,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732055","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":"The paradox of environmental awareness improvement and carbon footprint: a Maslow's Need-hierarchy perspective analysis in rural China","authors":"Mingxing Sun ,&nbsp;Shaoyue Ma","doi":"10.1016/j.jclepro.2025.147304","DOIUrl":"10.1016/j.jclepro.2025.147304","url":null,"abstract":"<div><div>High environmental awareness is deemed as the prerequisite of green consumption behavior; however, the improvement of the environmental awareness might need more consumption, which means that the emergence of environmental awareness may come at the cost of the environment. To verify this paradox, this study examines the relationship between environmental awareness and household carbon footprint in rural China through the lens of Maslow's Need-hierarchy theory. Leveraging micro-survey data from 3002 rural households across five provinces in 2019 and 2023, we employ an Environmentally Extended Multi-Regional Input-Output model to calculate the carbon footprint associated with various consumption categories—clothing, food, housing, and transportation—and stratify the consumables consumption and related carbon footprint into physiological, safety, social, and developmental needs according to adjusted Maslow's Need-hierarchy theory. Results reveal a 6.6 % increase in per capita carbon footprint from 2018 to 2022 (2081.18 to 2218.34 kg CO₂e), driven predominantly by housing and food consumption. Regression analyses demonstrate a significant positive association between environmental awareness and consumables carbon footprint: a one-unit increase in awareness elevates total consumables-related emissions by 22.86 kg CO₂e, with layer-specific increases of 6.26 kg CO₂e (safety), 7.73 kg CO₂e (social), and 4.62 kg CO₂e (developmental needs), respectively. These findings challenge assumptions that environmental awareness inherently reduces emissions, emphasizing the necessity of structural interventions to align awareness with low-carbon transitions. Only when certain quality lifestyle achieved can environmental awareness reach the inflection point where it drives meaningful reductions in carbon emissions. The study advances theoretical discourse by integrating Maslow's hierarchy theory into environmental behavior analysis, offering policymakers evidence-based strategies to reconcile environmental awareness improvement with climate goals.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"538 ","pages":"Article 147304"},"PeriodicalIF":10.0,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145728883","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":"Synthesis and performance of an environmentally friendly dust depressant based on sodium lignosulfonate-acrylamide graft polymer","authors":"Shohreh Ebrahimi,&nbsp;Ahmad Ramazani Saadatabadi,&nbsp;Hossein Ebrahimi","doi":"10.1016/j.jclepro.2025.147311","DOIUrl":"10.1016/j.jclepro.2025.147311","url":null,"abstract":"<div><div>This study reports the synthesis and application of an environmentally friendly dust suppression polymer (DSP) prepared via solution graft polymerization of sodium lignosulfonate (SLS) and acrylamide. This work aims to reduce dependence on conventional chemical stabilizers by utilizing renewable lignin derivatives, thereby improving polymer biodegradability and promoting sustainable soil stabilization with minimal environmental impact. The synthesized DSP was employed for desert soil stabilization, and its performance was comprehensively evaluated through unconfined compressive strength (UCS), wetting–drying durability, wind erosion resistance, water retention, and water penetration tests. The results demonstrated that DSP treatment markedly enhanced soil strength, cohesion, and resistance to environmental degradation. Rheological analyses of storage and loss moduli provided insights into the viscoelastic behavior of stabilized soils, showing a strong correlation with UCS and durability outcomes. Microstructural analyses, including FE-SEM, zeta potential measurements, and EDX, revealed a continuous polymeric network around soil particles, where electrostatic and ionic interactions further reinforced interparticle bonding. Among all formulations, the 5 wt% DSP achieved the optimal balance between mechanical performance and sustainability. The novelty of this work lies in its comprehensive integration of molecular structural characterization, soil–polymer interaction mechanisms, rheological behavior, and macro-scale performance evaluation to elucidate the multi-scale mechanisms governing soil stabilization. Overall, the synthesized DSP represents a novel, high-performance, and eco-sustainable soil stabilizer, advancing the development of green geoengineering materials for erosion control and dust suppression in arid environments.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"538 ","pages":"Article 147311"},"PeriodicalIF":10.0,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732056","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}