Journal of Cleaner Production最新文献

{"title":"Multifield computational model of chemical recycling of polymer composites: Temperature effects on solvolysis efficiency and energy consumption","authors":"Yi Chen,&nbsp;Justine Beauson,&nbsp;Asger Bech Abrahamsen,&nbsp;Leon Mishnaevsky Jr.","doi":"10.1016/j.jclepro.2025.145313","DOIUrl":"10.1016/j.jclepro.2025.145313","url":null,"abstract":"<div><div>As a promising recycling technology for fiber-reinforced composites (FRCs), solvolysis effectively separates fibers from their polymer matrix. Understanding and predicting the solvolysis process of composites is essential for optimizing recycling technologies and planning end-of-life strategies. This paper proposes a multifield computational model that integrates diffusion, chemical reaction, temperature distribution, and mechanical responses, with a focus on the effect of temperature during solvolysis. The coupled model was numerically implemented using the finite element method and calibrated with experimental data from solvolysis of epoxy resin at various temperatures. The effects of fiber placement and fiber volume fraction on solvolysis was examined using the computational model. Results show that higher fiber volume fractions lead to slower solvolysis, which can be explained by fibers acting as barriers to solvent diffusion into the polymer. The influence of temperature on fiber degradation and energy consumption was also investigated by incorporating an empirical strength degradation equation and a heat conduction model. The strength of recovered fibers decreases from 99 % at 85 °C to 85 % at 300 °C within 40 h, while the energy consumption for solvolysis at 145 °C is 20 % higher than at 85 °C. The findings suggest that optimizing solvolysis conditions, particularly temperature, is crucial for balancing recycling efficiency and maintaining fiber integrity.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145313"},"PeriodicalIF":9.7,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143653610","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":"A deep learning approach for cost-effective and environmentally sustainable waste transportation systems in developing countries","authors":"Hmamed Hala ,&nbsp;Cherrafi Anass ,&nbsp;Benghabrit Asmaa","doi":"10.1016/j.jclepro.2025.145314","DOIUrl":"10.1016/j.jclepro.2025.145314","url":null,"abstract":"<div><div>Rapid urbanization has intensified waste generation, creating significant sustainability challenges and financial burdens on cities, particularly in developing countries. Effective waste transportation and management solutions are crucial to mitigating these issues, yet prior research has largely overlooked predictive modeling of transportation costs and environmental impacts. This study proposes a deep learning-based approach that integrates Long Short-Term Memory (LSTM) networks for predicting transportation cost risks and Convolutional Neural Networks (CNNs) for assessing environmental impact severity. The LSTM model captures temporal dependencies for accurate cost forecasting, while the CNN model extracts spatial patterns from incident data to classify environmental severity. Using real-world accident data from a North African waste management company, the proposed approach incorporates sustainability criteria and aligns with ISO 14001:2015 and ISO 9001:2015 standards. Experimental results demonstrate that the LSTM model achieved a Mean Absolute Error (MAE) of 48.77 for cost prediction, while the CNN model attained 96.41 % accuracy in severity classification. These findings enable stakeholders to identify and mitigate high-cost, high-environmental-impact risks and improve resilience in waste transportation. Benchmarking against traditional machine learning models highlights the superior predictive performance of deep learning techniques. Moreover, a cost-benefit analysis confirms the economic viability and long-term advantages of AI-driven waste management strategies. These findings provide actionable insights for policymakers and industry stakeholders, facilitating data-driven decision-making to enhance the resilience and sustainability of waste transportation systems.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145314"},"PeriodicalIF":9.7,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143653552","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 relaxed stochastic control for green energy management and decarbonization in large-scale heterogeneous industrial clusters","authors":"Muhammad Bakr Abdelghany ,&nbsp;Atawulrahman Shafiqurrahman ,&nbsp;Mainak Dan ,&nbsp;Ahmed Al-Durra ,&nbsp;Mohamed Shawky El Moursi ,&nbsp;Zhouyang Ren ,&nbsp;Fei Gao","doi":"10.1016/j.jclepro.2025.145210","DOIUrl":"10.1016/j.jclepro.2025.145210","url":null,"abstract":"<div><div>Hydrogen is integral to decarbonizing high-temperature heat processes in heavy industries such as steel, glass, and aluminum, which collectively account for 10%–15% of global energy-related CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions. The increasing demand for industries based on hydrogen necessitates the development of advanced strategies for the management of hydrogen industrial clusters (HICs) driven by renewable energy sources. In this paper, a sophisticated controller is introduced to manage an HIC, considering uncertainties in thermal demand, energy forecasting, and energy and hydrogen prices. In order to ensure an entirely green energy system, the infrastructure integrates an electrolyzer, multiple compressors, multiple hydrogen storage tanks, and hydrogen-only gas burners. The HIC is designed to simultaneously support hydrogen injection into multiple hydrogen-dependent industries, including steel, glass, and aluminum. Moreover, it can operate in off-grid mode (without hydrogen market access) or on-grid mode (with hydrogen market access), optimizing resource utilization and energy management. In order to address uncertainties and reduce computational complexity, Boolean relaxations and the stochastic methodology are integrated into the model predictive control structure, and the main goals are unifying off- and on-grid operations and optimizing thermal demand fulfillment and tank management. Numerical simulations demonstrate that this strategy effectively manages multiple tanks in parallel configuration, ensuring the efficient HIC operation by fulfilling thermal demands, adhering to functional constraints, reducing costs, and enhancing revenue. Simultaneously, this approach leads to a 28% reduction in operational costs and a decrease of over 2200 switching events annually. It also enhances computational efficiency, achieving nearly 40% faster computation times using both open-source and commercial solvers, and in practice, this leads to significant improvements in overall system performance.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145210"},"PeriodicalIF":9.7,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143653553","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":"Environmental impacts of local consumption, short supply chains, mild processing, and small scale production: A comparison of fruit juice alternatives","authors":"Lorenzo Giacomella,&nbsp;Timothy Rowe,&nbsp;Erik Mathijs,&nbsp;Liesbet Vranken","doi":"10.1016/j.jclepro.2025.145318","DOIUrl":"10.1016/j.jclepro.2025.145318","url":null,"abstract":"<div><div>Novel food supply initiatives that hinge on mild processing, small-scale production, local sourcing of inputs, or short distribution chains are often proposed as an option to reduce the environmental impacts caused by food production and consumption. In this study we propose a lifecycle analysis (LCA) to examine the environmental implications of consuming apple juice from such initiatives compared to alternative options. These include apple and pineapple juices produced in larger industrial settings and distributed over national or international supply chains, as well as homemade juices. Findings indicate that local sourcing, coupled with mild processing and local distribution chains holds promise to reduce the environmental impacts of consumption. However, results are sensitive to several factors, such as the choice of packaging materials, the extent of supply chain shortening, and consumer disposal practices.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145318"},"PeriodicalIF":9.7,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639989","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":"Geochemical characteristics of metal(loid)s in forest soil profiles affected by Pb-Zn ore mining","authors":"Cheng Wang ,&nbsp;Minqi Shi ,&nbsp;Jianhua Wang ,&nbsp;Cong Zhong","doi":"10.1016/j.jclepro.2025.145338","DOIUrl":"10.1016/j.jclepro.2025.145338","url":null,"abstract":"<div><div>The lead-zinc mining activities have an impact on the metal(loid)s content in the environment within the mining area. However, the influence of these activities on the soil environment at greater distances, such as 30 km away, has received less attention. Furthermore, previous investigations often failed to take into account factors such as topography and weathering in their analyses. The present study explored the influences of lead-zinc mining on the migrations of sulfophilic metal(loid)s in soils, by analyzing geochemical characteristics of forest soil profiles from different locations on Baohua Mountain near a lead-zinc mine in the Nanjing area, China. The results show that Cd, Pb, Zn and Sb enrich in shallow soil (0–15 cm), possibly due to mining. Hillslope and foothill soils exhibit distinct elemental distribution. Slope soils has higher Pb, Cd, Sb, In, Zn, Ni, Cu, Al, Fe, K, Mg, Ti, S, and TOC contents but lower Mn and Ca contents compared to foothill soil. Ni, Cd, Fe, Al, K, Mg, Si, Ti, Na, S and TOC distributions are similar in slope and foothill profiles, while Pb, Sb, Cu, Zn, In, Mn, Ca, P, pH, Av-In and Av-Pb distributions differed obviously. Foothill soils show notable Cd, Pb, Zn and Sb leaching migration at 0–25 cm layer, with exogenous Pb migrating vertically up to 25 cm. Stronger weathering and leaching influence Pb, Zn, Sb, In and Cu migration mainly in slope soil's sub-surface layer (10–25 cm), with Cd leaching more prominent and Pb migrating farther vertically than in foothill soils.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145338"},"PeriodicalIF":9.7,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143640063","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":"Experimental study on CO2 closed-cycle heat pump drying for lemon assisted by ultrasonic pretreatment","authors":"Haoxiang Zhou,&nbsp;Weidong Wu,&nbsp;Tao Zeng,&nbsp;Yaxiang Hou","doi":"10.1016/j.jclepro.2025.145321","DOIUrl":"10.1016/j.jclepro.2025.145321","url":null,"abstract":"<div><div>Drying lemon can effectively prevent them from rotting and spoiling. Closed-cycle heat pump (HP) offers advantages such as environmental sustainability and energy efficiency. However it has low energy utilization in the middle and late stages of the system's drying process. Therefore, this paper proposed the application of ultrasonic pretreatment (UP) in the CO₂ closed-cycle HP system for lemon drying. The effects of different UP power assisted HP drying for lemon on the system performance and drying quality were experimentally investigated. The results showed that UP process increased the porosity of lemon slices by 49.94 % (at a power of 150 W), shortened the drying time by 11.5 %–30.7 %. The average drying rate (<em>DR</em>), average specific moisture extraction rate (<em>SMER</em>), energy consumption per unit of drying capacity (<em>ECDC</em>), and moisture drying volume treated per unit time (<em>MDVT</em>) of the HP drying system were increased by 13.02 %–44.38 %, 8.39 %–33.00 %, 8.60 %–31.18 %, and 13.37 %–44.70 %, respectively. After drying, the rehydration ratio (<em>R</em>_f), luminance (<em>L</em>∗), and vitamin C content (<em>V</em>_c) of the lemon slices increased by 12.8 %–26.7 %, 3.99 %–14.94 %, and 3.29 %–14.48 %, respectively. As the UP power increased from 0 to 200 W, the average <em>DR</em>, average <em>SMER</em>, <em>ECDC</em>, <em>MDVT</em>, rehydration ratio, luminance, and <em>V</em>_c all increased first and then decreased. When the UP power was 150 W, the maximum values for average <em>DR</em>, average <em>SMER</em>, <em>ECDC</em>, <em>MDVT</em>, rehydration ratio and luminance were achieved, which were 0.732 kg/(kg·h), 0.935 kg/(kW·h), 1.22 kg/(kW·h), 3.14 kg/(m³·h), 4.84 and 46.63, respectively. The optimum drying kinetics model, based on experimental data, was fitted to the Page model. Compared to other methods of lemon drying, the use of UP assisted HP drying was more energy-efficient and carbon-reducing, resulting in a reduction of the payback period for the HP drying system to 0.86 years. The findings of this research can provide reference for improving the energy efficiency of closed-cycle HP drying for lemon and enhancing drying processes for other fruits and vegetables.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145321"},"PeriodicalIF":9.7,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143640069","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":"Advantages of ZIFs coated core-shell catalyst in activating persulfate to degrade antibiotics: Free radical identification and surface collision pathway mechanism","authors":"Xueying Yang,&nbsp;Fangfei Shi,&nbsp;Muchen Lu,&nbsp;Jian Zhang,&nbsp;Lanhe Zhang,&nbsp;Xin Cheng","doi":"10.1016/j.jclepro.2025.145328","DOIUrl":"10.1016/j.jclepro.2025.145328","url":null,"abstract":"<div><div>Developing stable and efficient catalysts is a hot topic in the field of antibiotic remediation. In this study, we prepared Zs-Cu₂O, a composite material with an excellent synergistic effect of adsorption and catalytic oxidation, using the homogeneous diffusion method, which was used to activate peroxydisulfate (PS) to degrade OTC. In Zs-Cu₂O/PS system, Zn as an electron mediator promotes the electron transfer between Co and Cu, which makes Zs-Cu₂O have better performance and environmental adaptability. Through quenching experiments and EPR analysis, we clarified the synergistic mechanism of adsorption-catalytic oxidation. Our findings revealed the important roles played by electrostatic attraction, π-π bonds, reactive oxygen species (SO₄^•−、•OH、O₂^•− and ¹O₂), and Co(IV). At the same time, density functional theory (DFT) shows that Zs-Cu₂O has low adsorption energy, large charge transfer, strong PS cracking ability and excellent PS adsorption and activation performance. And it was found that the reaction followed a new surface collision oxidation pathway (SCOP), and no catalyst carrier was needed as an electron shuttle to mediate electron transfer. The degradation pathway and toxicity of OTC were evaluated, and a continuous flow reactor was constructed to evaluate its dynamic removal effect in water. This study not only offers a new approach for OTC pollution remediation but also paves the way for practical applications of ZIFs materials in the field of persulfate activation.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145328"},"PeriodicalIF":9.7,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143640067","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":"Exploring economic and cargo efficiencies in the global shipping sector: A convergence analysis","authors":"Muhammad Salman","doi":"10.1016/j.jclepro.2025.145298","DOIUrl":"10.1016/j.jclepro.2025.145298","url":null,"abstract":"<div><div>Despite its essential role in global trade, maritime transport remains a major fossil fuel consumer and create pollution that causes climate change. To address this challenge, the International Maritime Organization (IMO) has set a goal to cut emissions by 70 % from ships by 2050 compared to 2008. This study evaluates the economic and cargo efficiencies of the 30 largest global shipping companies using a Slack-Based Model (SBM) across various input-output configurations from 2005 to 2021. Moreover, this research examines both conditional and unconditional convergence in these efficiencies. The findings indicate that efficiency measures with and without adjusting for harmful environmental impacts exhibit similar values, yet they differ from environmental efficiency. The container shipping sector demonstrates higher economic efficiency, whereas bulk shipping sector has higher cargo efficiency. The study highlights both the similarities and differences in these efficiency measures and provides possible reasons for each company's performance. Mediterranean Shipping Company, Yang Ming, and Evergreen consistently rank high in economic efficiency, while Arkas Line and Matson rank lower. In terms of cargo efficiency, Yang Ming and COSCO maintain higher rankings, whereas Antong Holdings ranks low. Although there was no convergence for the 30 shipping companies as a whole, four convergence clubs formed with significant differences in economic efficiency and two final clubs in cargo efficiency. The analysis shows that Club 2 and Club 4 had high economic efficiency, while Club 3 had moderate economic efficiency. In contrast, Club 1 had low economic efficiency. For cargo efficiency, Club 1 had high cargo efficiency, while Club 2 had low cargo efficiency. Green innovation plays a conditional role in economic efficiency convergence, while green human capital significantly accelerates cargo efficiency convergence.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145298"},"PeriodicalIF":9.7,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143640072","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":"Review of upstream processes for Li-ion batteries recycling: Safety and economic concerns","authors":"Martina Bruno,&nbsp;Silvia Fiore","doi":"10.1016/j.jclepro.2025.145327","DOIUrl":"10.1016/j.jclepro.2025.145327","url":null,"abstract":"<div><div>Recycling of end-of-life Lithium-Ion Batteries (LIBs) is receiving increasing attention due to the economic and environmental costs associated with battery production and the criticality of its material supply chain. However, research has focused on recycling processes, with less emphasis on the pre-treatments involving the battery packs. This review analyses state-of-the-art literature on pre-treatments for LIBs recycling, considering four main issues: residual voltage discharge, cells dismantling, organic components removal, and electrodes active material liberation and concentration into material streams destined to specific recycling treatments. The literature review revealed that current technologies applied in upstream recycling processes ensure efficient materials recovery, but there are still significant challenges in terms of safety and economic viability. Safety issues arise from inadequate voltage discharge and the release of potentially toxic emissions from organic components. Economic challenges are primarily due to the high labor costs of manual cell dismantling, which is not fully met by automated disassembly lines. In conclusion, further research should be devoted to optimizing the economic viability of the above-mentioned operations and their safety, and also to improve the recycling of anodic materials.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145327"},"PeriodicalIF":9.7,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143640070","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":"Solar-driven degradation of malachite green by photoenzyme: Mechanisms and sustainable water treatment","authors":"Yang Zheng ,&nbsp;Gan Luo ,&nbsp;Guosheng Chen ,&nbsp;Ruifen Jiang ,&nbsp;Gangfeng Ouyang","doi":"10.1016/j.jclepro.2025.145335","DOIUrl":"10.1016/j.jclepro.2025.145335","url":null,"abstract":"<div><div>Malachite Green (MG), a widely used industrial dye and biocide, poses significant environmental and health risks due to its non-biodegradability and toxicity. In this study, we employed a novel solar-driven photoenzyme coupled catalytic system, Lac@PHOF, which combines the enzyme laccase with a porous photoactive hydrogen-bonded organic framework (PHOF; synthesized from H4TBAPy as PFC-1) to efficiently degrade MG under visible light irradiation. The Lac@PHOF system exhibited remarkable photocatalytic performance, achieving 92°% MG removal within just 15 min under natural sunlight, with an impressive conversion efficiency of 18,300 mg/g/h. The degradation process was primarily driven by singlet oxygen and photogenerated holes, converting MG into non-toxic small molecules. Lac@PHOF exhibited excellent stability, resisting pH extremes (3–11), long-term storage (35 days), and elevated temperatures (up to 80 °C), while maintaining degradation efficiency after 10 reuse cycles. The system's high efficiency, combined with the absence of sacrificial agents, positions Lac@PHOF as a promising candidate for sustainable water treatment applications. These findings underscore the potential of solar-driven photoenzyme systems for environmental remediation, offering a cost-effective and eco-friendly approach to the removal of organic pollutants from aquatic environments.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145335"},"PeriodicalIF":9.7,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143635622","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}