Journal of Cleaner Production最新文献

{"title":"Automated detection of morphologically diverse microplastics using ensemble deep learning","authors":"Seyed Amirhossein Moghaddas,&nbsp;Yi Bao","doi":"10.1016/j.jclepro.2026.149577","DOIUrl":"10.1016/j.jclepro.2026.149577","url":null,"abstract":"<div><div>Microplastics in water emerge as hazardous materials that contaminate the environment and adversely impact public health. Current approaches for detecting and characterizing microplastics are manual and inefficient in time, cost, and labor. Recent advances in deep learning-based computer vision approaches have enhanced efficiency, while they suffer from low accuracy for various types of microplastics. This paper presents a size-adaptive ensemble deep learning approach, aiming to overcome the challenge of morphological diversity and automate the detection of microplastics. The approach employs two specialized YOLOv8 models, including a high-resolution model for small particles (e.g., pellets) and a standard-resolution model for large particles (e.g., fibers, films, fragments). The presented approach was implemented and evaluated using a dataset including 1,600 images. The results show that the approach improved detection accuracy (17.5% increase in mAP50, 32.1% increase in mAP50-95) compared with traditional unified deep learning models. This research advances the ability to automatically detect various microplastics based on computer vision and deep learning.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"578 ","pages":"Article 149577"},"PeriodicalIF":10.7,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087543","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":"Spatial distribution and influencing factors of data center water usage effectiveness in China","authors":"Yongzhen Wang,&nbsp;Jia Kang,&nbsp;Shengyi Li,&nbsp;Kai Han,&nbsp;Jiaxi Fan,&nbsp;Dongdong Zhou,&nbsp;Mingming Li","doi":"10.1016/j.jclepro.2026.149559","DOIUrl":"10.1016/j.jclepro.2026.149559","url":null,"abstract":"<div><div>This study evaluates the direct water consumption of data centers using water-side cooling systems in China. A WUE calculation framework is developed by coupling cooling-tower water loss with cooling-system COP. Long-term meteorological data are used to extract representative typical days, which are then used to simulate annual and seasonal WUE patterns across major Chinese cities. The results show a clear spatial pattern: WUE is generally lower in northern and western China and higher in southern and eastern China. For closed-circuit cooling towers, WUE is mostly below 1.0 L/kWh in Northeast China, Northwest China, and the Qinghai–Xizang Plateau, but approaches or exceeds 2.0 L/kWh in hot and humid cities in South China. Among the eight national data center hub regions, the wet-cooling operation ratio is 27.3% in Inner Mongolia, 36.6% in Ningxia, and 52.4% in Gansu, while it reaches 100% in the Pearl River Delta. The results indicate that climate conditions and cooling-control strategies strongly affect water use. In the model, a 7 °C wet-bulb threshold is used for closed-tower dry-wet switching and for identifying open-tower natural-cooling availability, while open-tower air-to-water-ratio modes are classified using seasonal mean dry-bulb temperature.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"578 ","pages":"Article 149559"},"PeriodicalIF":10.7,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087545","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":"Feasibility study of stabilizing soft soil in the Jianghan Plain using one-part alkali-activated materials developed by iron and steel slags","authors":"Xinkui Yang,&nbsp;Shaopeng Wu,&nbsp;Shi Xu,&nbsp;Jianlin Feng,&nbsp;Yu Song,&nbsp;Jinyi Wu,&nbsp;Dongyu Chen,&nbsp;Jingshuai An,&nbsp;Fusong Wang","doi":"10.1016/j.jclepro.2026.149492","DOIUrl":"10.1016/j.jclepro.2026.149492","url":null,"abstract":"<div><div>The stabilization of soft soil subgrade is essential for infrastructure development in lacustrine regions; however, conventional cement stabilization faces challenges related to limited applicability and high carbon emissions. This study developed a one-part alkali-activated material (OPAAM) using alkali-fused steel slag (AFSS) and granulated blast furnace slag (GBFS) for stabilizing soft soil from the Jianghan Plain, China. Response surface methodology, multi-objective particle swarm optimization, and entropy-weighted TOPSIS were used to optimize strength, workability, CO₂eq, and cost. The optimized OPAAM was prepared with a precursor blend containing 29.0 wt% AFSS and 71.0 wt% GBFS, with sodium silicate and borax externally added at 9.1 wt% and 3.4 wt%, respectively, based on the total precursor mass. At this proportion, OPAAM reduces CO₂eq by 82% compared with cement. Soft soil stabilized with 16 wt% OPAAM achieved a 28 d compressive strength of 3.9 MPa, exceeding that of the 20 wt% cement-stabilized control, while reducing CO₂eq and cost by 85.6% and 17.6%, respectively. Microstructural analyses showed that C-(N-)A-S-H gel and hydrotalcite were the main hydration products of OPAAM, which filled pores and bound soft soil particles and served as the primary source of strength in the stabilized soft soil. Heavy metals leaching concentrations of OPAAM stabilized soft soil remain far below regulatory limits, confirming its environmental safety. This study provides theoretical and practical insights into the production and application of low-carbon soft soil stabilizers.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"578 ","pages":"Article 149492"},"PeriodicalIF":10.7,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087167","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":"Is Metro-based logistics always greener? A carbon emission break-even analysis under the trend of electrification and multi-dimensional spatiotemporal constraints","authors":"Junsheng Huang,&nbsp;Kang Huang,&nbsp;Baohua Mao,&nbsp;Yi Wang,&nbsp;Yinzheng Lin","doi":"10.1016/j.jclepro.2026.149553","DOIUrl":"10.1016/j.jclepro.2026.149553","url":null,"abstract":"<div><div>Metro-based Underground Logistics Systems (M-ULS), which leverage spare capacity in urban rail transit networks, have been widely regarded as a promising solution for alleviating urban congestion and reducing carbon emissions. However, as battery electric trucks (ET) rapidly proliferate and regional electricity grids progressively decarbonize, the traditional binary comparison of “metro versus diesel trucks” is no longer a sufficient basis for claiming M-ULS environmental superiority. Two questions remain unresolved: whether M-ULS retains meaningful emission advantages over electric trucks under realistic urban operating conditions, and how road congestion, ambient temperature, and metro stop-start dynamics jointly shape this comparison. This study develops a refined carbon accounting model that compares M-ULS with both electric trucks and conventional diesel trucks (DT) within a unified framework. The model incorporates a BPR (Bureau of Public Roads) function-based congestion coefficient and powertrain-specific temperature correction factors. These are applied symmetrically to all road-based segments, including M-ULS drayage, under a consistent well-to-wheel boundary. The model also derives a marginal energy consumption formula for metro operations, capturing microscopic stop-start characteristics. Under the baseline scenario (a single shipment of 55 t over a 40 km O-D (Origin-Destination) distance), M-ULS reduces carbon emissions by 69.8% compared to DT and by 24.2% compared to ET. These advantages are conditional. The emission edge inverts when last-mile drayage exceeds a critical distance of 9.6 km, and reduction rates above 20% require trunk distances beyond roughly 19 km together with drayage shares kept below 15% of total distance. A network-distance analysis of Shenzhen shows that about 79% of freight endpoints lie within a 3 km drayage radius of metro stations, indicating that these boundary conditions are largely attainable in practice. The study further reveals distinctive climate robustness. Under severe congestion and large temperature deviations, whether severe cold or intense heat, the emission reduction dividend of M-ULS relative to electric trucks is maximized. These findings delineate clear spatiotemporal boundaries for M-ULS applicability and provide quantitative evidence for tiered, zone-specific green logistics strategies.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"578 ","pages":"Article 149553"},"PeriodicalIF":10.7,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087170","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":"Voyage-based optimisation of biofuel bunkering strategies using real ship data","authors":"Li Chin Law,&nbsp;Tan Wen Lin,&nbsp;Nikolaos Tsoulakos,&nbsp;Frank Paleokrassas,&nbsp;Panos Theodossopoulos,&nbsp;Epaminondas Mastorakos","doi":"10.1016/j.jclepro.2026.149552","DOIUrl":"10.1016/j.jclepro.2026.149552","url":null,"abstract":"<div><div>Maritime decarbonisation requires operationally realistic strategies that account for fuel availability and evolving regulatory constraints. This study presents a data-driven framework for optimising biofuel bunkering strategies for a real-world bulk carrier by integrating historical voyage data, port-specific biofuel availability, lifecycle emissions, and regulatory performance metrics. Historical voyage data are used to reconstruct routes and estimate energy demand. Candidate biofuels derived from different feedstocks, including FAME, HVO, and biodiesel blends (B24 and B30), are evaluated using a multi-objective optimisation model (NSGA-III) considering: (i) the overall WTW GHG emission intensity, (ii) lost cargo volume, and (iii) annual FuelEU compliance margin. Results show that fuel type primarily governs WTW emissions, while feedstock availability influences high-biofuel-share pathways, and port-level biofuel availability dominates optimal bunkering strategies. Waste-based biofuels achieve the lowest WTW emission intensities (≤16 gCO₂eq/MJ), outperforming animal fat-derived (20-22 gCO₂eq/MJ), crop-based biofuels (44-51 gCO₂eq/MJ), and biodiesel blends (&gt;70 gCO₂eq/MJ). Cargo volume loss remains minimal (&lt;1%) across all scenarios. Regulatory analysis indicates that crop-based biofuels become non-compliant with FuelEU GHG intensity targets by 2045. The proposed framework enables actionable, voyage-specific decarbonisation strategies and highlights the critical role of fuel type, feedstock selection, port-level fuel availability and biofuel supply development.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"578 ","pages":"Article 149552"},"PeriodicalIF":10.7,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mass and functionality based exergy analysis of different rapeseed protein production routes","authors":"Kübra Ayan,&nbsp;Remko M. Boom","doi":"10.1016/j.jclepro.2026.149561","DOIUrl":"10.1016/j.jclepro.2026.149561","url":null,"abstract":"<div><div>Rapeseed proteins are among the outstanding plant-based proteins due to their favorable interfacial functionality. This study evaluates the resource use of the most common rapeseed protein production routes – acidic precipitation, ultrafiltration and wet mild fractionation – using an exergy-based approach. The exergy consumption is normalized based on both product mass and protein functionality. Mass-based assessment indicates that the routes producing dry rapeseed protein concentrate exhibit relatively low exergy efficiencies (12.3 – 20.7%), mainly due to production of a single useful stream and dilute processing conditions that intensify the drying-related exergy demand. Wet mild fractionation shows the highest exergy efficiency at 47.3%, by distributing resource inputs across two useful products, oleosome cream and proteins. When evaluated based on protein functionality, however, ultrafiltration-based recovery of proteins from rapeseed meal and acid precipitation from cold-pressed cake emerge as the least exergy-intensive options to produce rapeseed protein-based emulsifiers. Therefore, the study shows that the resource use efficiency of a process is strongly dependent on the chosen evaluation criterion and highlights the importance of functionality-oriented valorisation of useful streams to enhance the efficiency of resources use.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"578 ","pages":"Article 149561"},"PeriodicalIF":10.7,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Explainable machine learning reveals spatially heterogeneous BOD–COD relationships in a large river basin to inform targeted monitoring strategies","authors":"Lingling Liu,&nbsp;Zhenxiong Zhao,&nbsp;Junhong Ling,&nbsp;Wenjing Li,&nbsp;Bolun Zhang,&nbsp;Ming Gao,&nbsp;Fengchang Wu,&nbsp;Xiaoli Zhao,&nbsp;Lingfeng Zhou","doi":"10.1016/j.jclepro.2026.149529","DOIUrl":"10.1016/j.jclepro.2026.149529","url":null,"abstract":"<div><div>Accurate monitoring of biochemical oxygen demand (BOD) is essential for assessing river health, but its measurement is labor-intensive and time-consuming. In contrast, chemical oxygen demand (COD) is routinely and automatically monitored in China's national network, yet it does not fully capture ecological stress. To address this limitation, we developed a machine learning framework to predict hard-to-measure BOD dynamics using frequently measured COD together with other environmental variables. Monthly observations from 135 monitoring sites across the Yellow River Basin during 2016–2022 were integrated with water quality parameters, catchment attributes, and anthropogenic emission indicators to construct a stacking model. The ensemble combined five base learners, including random forest, svmRadial, xgbTree, Cubist, and gbm. The stacking model achieved satisfactory predictive performance, with an R² of 0.78, representing an improvement of approximately 5.4% to 15% compared with the individual base models. SHAP analysis identified COD as the dominant predictor of BOD, exerting a strong positive effect. The strength of the BOD–COD coupling varied spatially, being stronger in urbanized watersheds with intensive domestic emissions and weaker in relatively natural, less-disturbed basins. Structural equation modeling further indicated that the spatial heterogeneity of human activities amplifies regional differentiation in the BOD-COD relationship, a pattern likely mediated by basin-specific dissolved organic matter characteristics. These findings support a differentiated monitoring strategy, whereby model predictions can complement BOD measurements in human-impacted basins, while higher sampling density is warranted in natural systems. Overall, the proposed framework enables optimized resource allocation and targeted monitoring of organic pollution in large, heterogeneous river basins.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"578 ","pages":"Article 149529"},"PeriodicalIF":10.7,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149084953","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":"Reaction and microstructural insights into UHPC with carbonated steel slag at different substitution ratios","authors":"Jun-Run Xia,&nbsp;Jun-Jie Zeng,&nbsp;Yue Liu,&nbsp;Jiarui Liu,&nbsp;Yan Zhuge","doi":"10.1016/j.jclepro.2026.149543","DOIUrl":"10.1016/j.jclepro.2026.149543","url":null,"abstract":"<div><div>Basic oxygen furnace (BOF) slag, a major type of steel slag generated during steelmaking, offers significant potential as a low-carbon cement replacement. Carbonation pretreatment has been developed to enhance both the filler effect and the pozzolanic reactivity of steel slag powder (SSP), enabling partial replacement of cement with carbonated SSP (CSSP) in ultra-high-performance concrete (UHPC). However, the reaction mechanisms governing CSSP in UHPC remain insufficiently understood. In this study, the phase assemblage, calcium-silicate-hydrate (C-S-H) characteristics, and microstructure of UHPC substituted with CSSP were investigated. The results revealed that the optimal mechanical performance was achieved at a 30 % replacement level, with the compressive strength being 10.0 % higher than that of the untreated SSP mixture. At moderate CSSP contents, carbonation-derived calcium carbonate (CaCO₃) acted synergistically as both a micro filler and nucleation site. Consequently, UHPC substituted with CSSP exhibited a higher degree of hydration (DoH), an increased mean chain length (MCL) of C-S-H, and higher pore fractal dimensions than UHPC with untreated SSP. However, at 40-50 % CSSP substitution levels, cement clinker dilution becomes dominant and outweighs the compensatory physical filler effect and chemical contribution of CaCO₃. Although additional carbonate ions can promote the formation of AFm-type carbonate phases, the reduced availability of reactive clinker limits CH generation and decreases the Ca/Si ratio of the C-S-H gel. Consequently, C-S-H formation becomes insufficient, leading to limited pore refinement, increased pore irregularity, and a less dense UHPC matrix.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"578 ","pages":"Article 149543"},"PeriodicalIF":10.7,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tax coal or subsidize clean capacity? A differential game of incumbent utilities’ energy transition","authors":"Meng Du,&nbsp;Yonghui Bi","doi":"10.1016/j.jclepro.2026.149581","DOIUrl":"10.1016/j.jclepro.2026.149581","url":null,"abstract":"<div><div>Electricity decarbonization requires both replacement investment and decisions about the remaining life of coal assets. This paper develops a Stackelberg differential-game benchmark with an incumbent utility that builds clean capacity and retires coal, and an independent clean developer. Binding organizational constraints make construction and closure substitutes; binding finance can instead make them complements when retirement releases net funds. Annual numerical experiments compare five policy classes using a common post-window continuation rule, incumbent-value limits and explicit capacity-gap ceilings. In the normalized China-scale baseline, the highest-welfare unconditional candidate found within the tested policy class coincides with clean support alone. Retirement-linked support combined with an early coal charge raises welfare by 1.07% relative to that benchmark and induces 0.0317 TW of accelerated retirement without an aggregate capacity gap. Freezing the same realized support and charge paths removes almost all accelerated retirement, identifying a behavioral contribution from the link. The advantage is conditional: it disappears under zero continuation values, and declining clean-capacity credits can reverse fixed-policy rankings. Wider support bounds also change the preferred instrument mix. The results identify how shared adjustment resources and dependable replacement capacity condition policy choice; the numerical rates are unestimated policy experiments for an existing portfolio, rather than national forecasts.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"578 ","pages":"Article 149581"},"PeriodicalIF":10.7,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087481","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":"City-scale dynamic mining zoning for source-based damage reduction and efficient coal resource utilization in high-groundwater-table coal–farmland overlapped areas","authors":"Jingchun Cao,&nbsp;Huaizhan Li,&nbsp;Guangli Guo,&nbsp;Jianfeng Zha,&nbsp;Yafei Yuan,&nbsp;Qingfeng Hu,&nbsp;Weitao Yan,&nbsp;Chao Tang,&nbsp;Jingchao Sun","doi":"10.1016/j.jclepro.2026.149562","DOIUrl":"10.1016/j.jclepro.2026.149562","url":null,"abstract":"<div><div>In high-groundwater-table coal–farmland overlapped areas, the superposition of temporal groundwater-level fluctuations and mining-induced subsidence exposes permanent basic farmland to long-term dynamic risks. However, existing mining spatially partitioned subsidence control technology generally adopts static groundwater levels as the design baseline, resulting in conservative risk assessment and constrained resource utilization efficiency. To address this issue, a city-scale mining suitability zoning method incorporating groundwater dynamics was proposed in this study. Taking Yongcheng City, China, as a case study, groundwater monitoring data from 2019 to 2024 were used, and a Long Short-Term Memory (LSTM) model was employed to achieve quarterly dynamic updating of groundwater levels. Furthermore, a dynamic groundwater threshold was established under the dual constraints of crop yield reduction and soil salinization, and was coupled with subsidence responses under different mining methods to develop a dynamic zoning determination system. The results indicate that the study area exhibits a city-scale spatial pattern characterized by restricted mining in the sensitive western area, conditionally suitable mining in the central area, and natural mining in the eastern area. Compared with conventional mining design, the proposed dynamic subsidence-control design increases the suitable mining area by 74.24% relative to the conventional design, while maintaining the productive function of permanent basic farmland. At the pre-mining planning stage, 103.65 km² of stably releasable overlying coal resource space and 299.74 km² of conditionally releasable space requiring dynamic regulation can be identified within the coal–farmland overlapped area. This study provides a city-scale decision-making pathway for alleviating the conflict between coal resource extraction and permanent basic farmland protection in high-groundwater-table regions and for achieving efficient utilization of underlying coal resources.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"578 ","pages":"Article 149562"},"PeriodicalIF":10.7,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087544","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}