Journal of Cleaner Production最新文献

{"title":"Global warming potential data analysis from environmental product declarations","authors":"Shunyang Ning,&nbsp;Tuomas Puttonen,&nbsp;Mika Salmi","doi":"10.1016/j.jclepro.2026.148020","DOIUrl":"10.1016/j.jclepro.2026.148020","url":null,"abstract":"<div><div>The reduction of greenhouse gas emissions has become the focus of strategies to mitigate global warming. Current research generally quantifies a product’s carbon footprint by life cycle assessment (LCA). Some use Environmental Product Declarations (EPD) as the source of life cycle inventory data. However, the understanding of how carbon footprints are distributed across a product’s life cycle stages remains limited. Insufficient number of studies assessed the LCA results based on a large number of EPDs.</div><div>This study retrieves more than 16,000 EPDs across 9 EPD libraries for data quality evaluation and LCA results analysis. Data inspection and carbon distribution analysis are conducted with a focus on Global Warming Potential (GWP). Results indicate that there is an imbalanced number of available EPDs across sectors, with the building and construction sector having the highest data availability. The limited coverage beyond the production stage, such as the use phase in the LCA scope, is identified. Within a product’s life cycle, the production phase, especially raw material, significantly drives greenhouse emissions across most sectors, accounting for over 60% of GWP within the production phase, while the transport phase accounts for the least. The identification of greenhouse gas emissions distribution patterns aids with enhancing the strategies on carbon footprint mitigation. The evaluation of EPDs datasets provides scalable fundamentals for using EPD as the source of LCA data analysis and evaluation.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"553 ","pages":"Article 148020"},"PeriodicalIF":10.0,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147549532","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":"In-situ reactivation of the catalyst for hydrodeoxygenation of bio-oil to biofuel by coupling the self-rotation and revolution of catalysts in the swirling flow","authors":"Yao Zhang ,&nbsp;Zheng-hao Yang ,&nbsp;Yu-long Chang ,&nbsp;Jian-ping Li ,&nbsp;Bang-da Wang ,&nbsp;Zi-heng Jin ,&nbsp;Liang Ma ,&nbsp;Xia Jiang ,&nbsp;Hua-lin Wang","doi":"10.1016/j.jclepro.2026.148012","DOIUrl":"10.1016/j.jclepro.2026.148012","url":null,"abstract":"<div><div>The high carbon emissions from fossil energy underscore the need for zero-carbon biofuels. However, catalyst deactivation via coke formation during bio-oil hydrodeoxygenation (HDO) disrupts continuous production. This study achieved in-situ catalyst reactivation using high-speed particle self-rotation and revolution in swirling flow. Under optimal conditions (0.08 MPa, liquid-to-solid ratio 20:1, 2% water of methanol, 25 °C), particle self-rotation and revolution reached 747 rad/s and 206 rad/s, respectively, removing 91.2% of organics and completely eliminating three key coke precursors (phenols, alkenes, ethers). Pore volume (&lt;20 nm) and surface area (&lt;50 nm) recovered to 66% and 70% of the first stage catalyst (catalysts for 10 days of operation), respectively, while key active site signal intensity doubled. Catalyst wear per reactivation was only 0.013 wt%, meeting usage requirements.Comparative analysis of the deoxygenated oil composition produced by the catalyst before and after reactivation demonstrates an average activity recovery exceeding 99% relative to the first stage catalyst. This work, for the first time, demonstrates <em>in-situ</em> reactivation of HDO coke-laden catalysts in an ebullated bed reactor using a radial flow hydrocyclone, offering a novel solution to rapid catalyst deactivation in biofuel production.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"553 ","pages":"Article 148012"},"PeriodicalIF":10.0,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147549582","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":"Managing hazard cascades in coal mining operations: Balancing prevention effectiveness and cost-efficient resource allocation","authors":"Yangyang Chen ,&nbsp;Xia Heng ,&nbsp;Yinuo Jin ,&nbsp;Wenyi Tang","doi":"10.1016/j.jclepro.2026.147966","DOIUrl":"10.1016/j.jclepro.2026.147966","url":null,"abstract":"<div><h3>Abstract</h3><div>Cost-effectiveness analysis remains underexplored in coal mine accident prevention, despite its crucial role in optimizing safety resource allocation. Traditional studies have primarily focused on hazard identification and causal analysis, often overlooking the feasibility of risk mitigation strategies. To address this gap, this study integrates network analysis with cost-effectiveness evaluation to develop a systematic approach for prioritizing accident prevention strategies. First, hazard networks are constructed for gas explosions and roof collapses to capture hazard interdependencies, moving beyond linear risk chains by introducing the concepts of active and passive hazard roles within complex systems. Next, critical hazards and key transmission pathways are identified, forming the basis for risk intervention. Based on the network structure, three prevention strategies, including risk point control, risk chain control, and risk-blocking, are proposed and compared in terms of their effectiveness in reducing hazard connectivity and their associated costs. Our findings reveal significant differences in cost-effectiveness across accident types: risk chain control proves most effective for gas explosions, while risk-blocking is optimal for roof collapses due to its capacity to manage high-cost hazards. By linking hazard network topology with economic evaluation, this study advances risk analysis methodologies and offers actionable insights for policymakers and industry stakeholders. The proposed framework enhances coal mine safety decision-making and holds potential for application in other high-risk industries.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"553 ","pages":"Article 147966"},"PeriodicalIF":10.0,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147549529","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":"Sustainable construction of lignin-containing cellulose nanofibrils reinforced antifreeze deep eutectic solvent gel for wearable human motion strain sensors","authors":"Li-Li Sun ,&nbsp;Jiao Zhao ,&nbsp;Lian-Jie Zhao ,&nbsp;Shao-Ni Sun ,&nbsp;Xue-Fei Cao","doi":"10.1016/j.jclepro.2026.148011","DOIUrl":"10.1016/j.jclepro.2026.148011","url":null,"abstract":"<div><div>Gel is one of the most promising flexible sensing materials for wearable devices, health monitoring, and electronic skin. However, their inherent brittleness, low-temperature freezing, and poor mechanical properties have greatly hindered their practical applications. In this study, a series of lignin-containing cellulose nanofibrils (LCNFs) reinforced deep eutectic solvent (DES) gels were successfully prepared. The effects of LCNFs concentration, CaCl₂ dosage and solvent exchange time on the conductivity, antifreeze and mechanical properties of the DES gels were systematically investigated. Results demonstrated that the optimized DES gel (Ca₁₈L_0.75PAM-3h) exhibited outstanding mechanical properties (0.75 MPa stress, 1593% strain), high conductivity (2.29 S/m), and excellent antifreeze properties (−80 °C) due to the multiple molecular interactions among polyacrylamide (PAM) chains, LCNFs, Ca²⁺, and DES. Additionally, the DES recovered during LCNFs preparation was reused for gel fabrication, thereby enhancing resource efficiency and minimizing waste generation. When used as a strain sensor for real-time human motion monitoring, the DES gel showed excellent sensitivity (GF = 13.66) and stability. This work provided a feasible pathway for developing high-performance DES gels based on the synergistic effects of LCNFs and DES, and which showed great potential for applications in flexible sensing.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"553 ","pages":"Article 148011"},"PeriodicalIF":10.0,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147549621","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":"Automated clustering of foreground data for effective dataset integration in life cycle impact assessment","authors":"Johannes H.L. Sturm ,&nbsp;Till Justus Niemann ,&nbsp;Johanna Holsten ,&nbsp;Christoph Herrmann","doi":"10.1016/j.jclepro.2026.147942","DOIUrl":"10.1016/j.jclepro.2026.147942","url":null,"abstract":"<div><div>The increasing demand for data related to life cycle assessment, such as environmental product declarations, necessitates the development of more efficient approaches for the preparation and integration of life cycle assessment-relevant data. A central challenge in this context is data mapping, specifically the consistent linkage between foreground and background datasets. Of particular importance is the identification of so-called module-sensitive components, such as printed circuit boards, which consist of highly interdependent materials in terms of their environmental impact. The environmental impacts of these components are often underestimated by conventional approaches and typically require manual identification.</div><div>To address this challenge, a machine learning-based framework is proposed to enable the automated classification of such components. To the best of the authors’ knowledge, this work presents the first framework that systematically combines substance-based information with textual similarity features for automated identification of module-sensitive components in life cycle inventory data preparation. The framework outlines how a sufficiently robust classification model can be prepared, optimized, and applied. It was evaluated using a dataset of more than 13,000 individual components from the automotive industry. The results demonstrate that combining substance-related information with name similarity metrics significantly improves classification accuracy. Among the tested algorithms, Random Forest achieved the best performance, reaching a classification accuracy of 97% for electronic components such as printed circuit boards, whereas Support Vector Machines and k-Nearest Neighbors yielded substantially lower accuracies.</div><div>Overall, the proposed framework reduces manual effort, enhances data consistency, and supports the operationalization and scalability of life cycle inventory and, consequently, life cycle assessment preparation processes.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"553 ","pages":"Article 147942"},"PeriodicalIF":10.0,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147549623","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":"Sustainability analysis of seawater desalination: assessing the social, economic, and environmental impacts of membrane and thermal technologies","authors":"Minghui Liang ,&nbsp;Chunxue Yu ,&nbsp;Xia Huang ,&nbsp;Meirong Su","doi":"10.1016/j.jclepro.2026.147984","DOIUrl":"10.1016/j.jclepro.2026.147984","url":null,"abstract":"<div><div>Seawater desalination is a widely implemented technology used worldwide as an effective water supply solution within coastal water-scarce regions. But its high energy use, related emissions and external costs raise concerns about long-term sustainability. This study develops an integrated assessment framework that combines life cycle assessment, life cycle costing and willingness-to-pay, and couples the analytic hierarchy process with the entropy-weight method to merge these three dimensions into a single sustainability index. Using this framework, we compare two large seawater desalination projects within a consistent cradle-to-gate system boundary: a waste-heat-driven low-temperature multi-effect distillation (LT-MED) plant and a reverse osmosis plant (RO). Energy use is the main contributor to most environmental impact categories, and the global warming potential of RO is 5.29 kg CO_2-eq/m³, about twice that of LT-MED (2.56 kg CO_2-eq/m³). In RO, brine discharges are the main contributor to marine eutrophication, while in LT-MED the use of defoamers leads to much higher ozone depletion and toxicity potentials. Economically, the amortized capital costs of the two systems are similar (1.71 vs 1.74 CNY/m³), but LT-MED has a lower operating cost (1.79 vs 3.09 CNY/m³), which results in a lower unit water production cost (3.50 vs 4.83 CNY/m³), a higher internal rate of return (27.7% vs 16.9%) and a shorter discounted payback period (4.27 vs 7.46 years). In terms of social costs, LT-MED has a total monetized social cost of about 5044.1 CNY/m³, roughly 2.6 times that of RO (2161.1 CNY/m³), with most of this burden linked to ionizing radiation. The sustainability index results show that LT-MED is generally preferred when environmental performance is given priority or when environmental, economic and social dimensions are weighted in a balanced way, whereas RO becomes more attractive when economic and social criteria are emphasised or when suitable waste heat is not available. Overall, the proposed framework provides a transparent and structured tool for comparing membrane and thermal seawater desalination technologies and for supporting technology selection and desalination policy design.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"553 ","pages":"Article 147984"},"PeriodicalIF":10.0,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147549530","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":"Equilibrium analysis of power battery sourcing strategies for competitive electric vehicle manufacturers under cap-and-trade","authors":"Haitao Chen ,&nbsp;Jichen Li ,&nbsp;Zhaohui Dong","doi":"10.1016/j.jclepro.2026.147972","DOIUrl":"10.1016/j.jclepro.2026.147972","url":null,"abstract":"<div><div>With increasingly stringent global carbon reduction targets, the cap-and-trade (CAT) policy has become a key mechanism for driving corporate low-carbon transformation. As the core high-carbon-emission component of electric vehicles (EVs), power battery (PB) sourcing strategy directly impacts the costs and competitiveness of electric vehicle manufacturers (EVMs). This paper constructs a duopoly competition model to analyze the PB sourcing decisions of EVMs with heterogeneous carbon reduction technologies (CRTs) considering supplier development and integration. Key findings include: (1) The technologically leading EVM consistently prefers in-house production, further amplifying its advantage through increased carbon reduction investments, while the lagging EVM adjusts its strategy based on the technology gap—opting for in-house production when the gap is small but switching to procurement when the gap is large. (2) When carbon prices exceed a threshold, the technology leader can expand market share through in-house production, with profits increasing alongside carbon prices. (3) When CRT levels are comparable, the market equilibrium strategy will achieve an economic-environmental “win-win.” The paper reveals how CRT heterogeneity influences EVMs’ PB sourcing decisions under competition, proposing a “competition-driven carbon reduction” mechanism and addressing gaps in the literature on policy-technology-competition interactions. It provides guidance for EVMs to optimize PB sourcing strategies and for policymakers to promote sustainable development through macro-regulation.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"553 ","pages":"Article 147972"},"PeriodicalIF":10.0,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147549579","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":"Encoding intrinsic rare-earth dissolution selectivity into deep eutectic solvents via coordination-active functional group design","authors":"Zhihan Zhang ,&nbsp;Guobiao Li ,&nbsp;Zhi Wang ,&nbsp;Wanhai Xiao ,&nbsp;Yong Lin ,&nbsp;Shuping Cheng ,&nbsp;Rui Min ,&nbsp;Jian Wu ,&nbsp;Mingqing Liu ,&nbsp;Dong Wang","doi":"10.1016/j.jclepro.2026.147995","DOIUrl":"10.1016/j.jclepro.2026.147995","url":null,"abstract":"<div><div>Rare-earth recycling from NdFeB magnet waste is critical for sustainable energy technologies, yet conventional hydrometallurgical processes rely on non-selective acidic dissolution, resulting in excessive reagent consumption and wastewater generation. Herein, we report a coordination-active deep eutectic solvent (DES) in which intrinsic rare-earth selectivity is encoded through functional-group design rather than acidity alone. By integrating an amide-based solvation scaffold with a carboxylate ligand, an acetamide–lactic acid DES was constructed to balance proton activity, coordination strength, and molecular mobility. The DES exhibits highly selective dissolution of Nd₂O₃ over Fe₂O₃, achieving a separation factor of up to 9896, while maintaining low viscosity and excellent recyclability. Notably, the closed-loop process requires only oxalic acid as a consumable and reduces overall chemical reagent consumption by over 90% compared with conventional acid leaching. Spectroscopic characterization, molecular dynamics simulations, and density functional theory calculations collectively reveal that selective Nd dissolution originates from synergistic multidentate coordination involving –COO^-, –OH, and –NH₂ functionalities. This work establishes a structure–property–selectivity relationship for DESs and provides a general design principle for green, coordination-encoded solvents in sustainable metal recycling.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"553 ","pages":"Article 147995"},"PeriodicalIF":10.0,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147549578","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":"Challenges in the synergistic mitigation of air pollutants and CO2 emissions from China's flat glass industry: A plant-level emission inventory analysis","authors":"Shaobo Chen ,&nbsp;Libin Cao ,&nbsp;Jing Guo ,&nbsp;Ruxing Wan ,&nbsp;Junpeng Lyu ,&nbsp;Yan Chen ,&nbsp;Jiabao Qu ,&nbsp;Qingyu Zhang ,&nbsp;Huizhong Shen ,&nbsp;Jinnan Wang","doi":"10.1016/j.jclepro.2026.148023","DOIUrl":"10.1016/j.jclepro.2026.148023","url":null,"abstract":"<div><div>China, as the world's largest flat glass producer, accounting for over 50% of global output, faces the strategic imperative of coordinating pollution reduction and carbon mitigation for industrial sustainability. To address this gap, this study pioneers a national plant-level emission inventory integrating carbon dioxide (CO₂), an aerodynamic diameter ≤10 μm (PM), sulfur dioxide (SO₂) and nitrogen oxides (NOx) for China's flat glass industry, and employs scenario-based modelling to optimize policy combinations for synergistic control. The study found that the emissions of PM, SO₂, NOx, and CO₂ decreased by 7.51-16.51% in 2023 compared to 2021. However, current pollution-carbon control strategies are too skewed toward air pollutant abatement. This misses opportunities to attain the optimal synergies required to simultaneously mitigate emissions. Furthermore, the future scenario analysis highlights that the primary challenge for reducing emissions in the flat glass industry lies in mitigating CO₂ rather than other air pollutants, as significant declines are projected in pollutant emission concentrations, emission factors, or total emissions. These findings provide actionable policy insights for designing differentiated mitigation strategies and offer a robust scientific foundation for advancing the low-carbon transition and sustainable development of the flat glass industry.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"553 ","pages":"Article 148023"},"PeriodicalIF":10.0,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147549581","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":"A “Quantification-zoning-driving factors” analysis framework for mitigating ecosystem service supply-demand mismatches in urbanized areas","authors":"Kai Li ,&nbsp;Jing Liu ,&nbsp;Ying Hou ,&nbsp;Chenmingyang Jiang ,&nbsp;Bingyang Lv ,&nbsp;Chundi Chen ,&nbsp;Lang Yuan ,&nbsp;Youyou Huang ,&nbsp;Xi Li","doi":"10.1016/j.jclepro.2026.148008","DOIUrl":"10.1016/j.jclepro.2026.148008","url":null,"abstract":"<div><div>Mitigating the mismatch between the ecosystem service (ES) supply and demand is crucial for urban sustainable development. However, existing mismatch quantification has rarely considered the spatial relationship between ES supply and demand, which is determined by diverse ES flows. In this study, we quantified ES supply-demand mismatches by incorporating ES flows, delineated management zones, and analyze mismatch driving factors. These three analytical components are interlinked and form an integrated framework for informing ES supply-demand mismatch mitigation. We took the Eastern New Area of Chengdu, China, as a case study, and focused on four typical ESs (soil retention, crop pollination, flood regulation, and natural recreation). We found that: (1) The four ES supply-demand mismatches demonstrated heterogeneous distributions, and the integration of ES flows enhanced the accuracy of mismatch quantification; (2) Four distinct ES supply-demand management zones were delineated. The flood regulation-natural recreation mismatch zone accounted for the largest proportion of area (32.68%), while the ES match zone accounted for the smallest (5.93%); (3) The direction and magnitude of socio-ecological factors’ influence on ES supply-demand mismatches varied across zones. Overall, the green space proportion alleviated most ES supply-demand mismatches, whereas the population density, construction land proportion, and road density exacerbated them. This study advances the quantification of ES supply-demand mismatches, and more importantly, offers a practical analysis framework for mitigating mismatches in urbanized areas.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"553 ","pages":"Article 148008"},"PeriodicalIF":10.0,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147549620","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}