Waste management最新文献

{"title":"Comprehensive analysis of compost maturity differences across stages and materials with statistical models.","authors":"Shang Ding, Donglei Wu","doi":"10.1016/j.wasman.2024.12.011","DOIUrl":"10.1016/j.wasman.2024.12.011","url":null,"abstract":"<p><p>Aerobic composting is an environmentally friendly and effective approach to treating organic solid waste. The variability in material composition introduces complex interactions between environmental factors and materials, which in turn affects compost maturity. This study uses multiple statistical analyses to systematically compare key indicators across composting processes for kitchen waste, livestock manure, and sludge. The results show that material type and composting stage have a significant impact on compost maturity (p < 0.001). High-precision modeling (R² > 0.90) was achieved using a Stacking model on the composting dataset, with interpretability analysis highlighting the important roles of temperature, moisture content, and nitrogen content across different composting materials. The combined effects of environmental and material changes jointly influence the composting progression. In kitchen waste composting, strong interactions between multiple indicators were observed, while moisture shifts in livestock manure and sludge composting primarily influenced compost maturity by promoting decomposition and enhancing nitrogen retention, respectively. Partial dependence analysis quantified the relationships between key indicators and compost maturity scores. These findings offer a scientific basis for identifying key factors and optimization paths in various composting processes, supporting the development of more effective composting strategies.</p>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"193 ","pages":"250-260"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142829516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Material Recovery Facilities (MRFs) in the United States: Operations, revenue, and the impact of scale.","authors":"Sabrina L Bradshaw, Horacio A Aguirre-Villegas, Suzanne E Boxman, Craig H Benson","doi":"10.1016/j.wasman.2024.12.008","DOIUrl":"10.1016/j.wasman.2024.12.008","url":null,"abstract":"<p><p>An analysis was conducted using nationwide survey data to evaluate how material recovery facilities (MRFs) operations vary regionally and with scale. The survey characterized materials, processes, and energy use involved with operations, and revenue for recyclables. This is the first nationwide analysis of MRFs in the US that accounts for mass processed, energy consumed, and revenue. Of a population of 521 MRFs, 48 responses representing MRFs from five US regions were received and analyzed (9.2 % response rate). Responses were analyzed by size according to yearly mass of inbound materials (small: <1,000 Mg/year, medium: 1,000-10,000 Mg/year, and large: >10,000 Mg/year). Most MRFs identify as single-stream; source from residences; utilize tipping floors, picking lines, baling and warehousing; and are powered by electricity. Most revenue and inbound mass (>50 %) came from fiber (cardboard and paper). Glass had little revenue, and plastics were difficult to transition to market. Percent residue ranged from 1-39 %, averaged < 20 %, and increased as the mass of inbound material increased. Large MRFs reported more sources of material, employed advanced sorting technology, had greater plastics revenue (33 % versus 5 % for small MRFs), and had more market access for plastics compared to small MRFs. Large MRFs had two orders of magnitude less annual electricity consumption per Mg recyclables than small MRFs (5-90 kWh/Mg versus ∼ 300-550 kWh/Mg). Results demonstrate environmental and economic benefits of larger-scale MRFs, which could be implemented more broadly in the US through regional hub-and-spoke arrangements for collecting and processing recyclables, lowering energy consumption and increasing revenue for recyclables.</p>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"193 ","pages":"317-327"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Balanced water and heat energy recycling by full evaporation of wastewater (FEW) in dry biorefining processes of lignocellulose biomass.","authors":"Ya Wang, Bin Zhang, Xiucai Liu, Jie Bao","doi":"10.1016/j.wasman.2024.12.018","DOIUrl":"10.1016/j.wasman.2024.12.018","url":null,"abstract":"<p><p>Lignocellulosic biorefinery technology requires minimum energy consumption and wastewater generation to overcome challenges in industrial applications. This study established a rigorous model and a comprehensive physical property database of dry biorefining process on Aspen Plus platform for production including L-lactic acid, citric acid, sodium sugar acids, amino acid, and ethanol based on the experimental data. Full evaporation of wastewater (FEW) approach was proposed to completely replaced the external steam supply, and significantly reduced the freshwater input by 67% ∼ 85% and wastewater generation by 64% ∼ 89%, depending on the specific products. The carbon-neutral heat energy from lignin residue combustion generates an extra heat output of 1.098 ∼ 4.772 GJ per ton of dry wheat straw (DW) after all the heat energy needs of the biorefinery process and FEW treatments are satisfied, equivalent to a reduction of 0.219 ∼ 0.952 kg CO₂ eq/kg DM emission. This study provided a self-consistent solution for water and energy balance in biorefinery processes.</p>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"193 ","pages":"307-316"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Comparison of using animal manure and sludge compost as biofilter filling material for off-gas control in aerobic composting.","authors":"Bin Shang, Kaifeng Zhang, Zhiqiang Chen, Qinxue Wen","doi":"10.1016/j.wasman.2024.12.033","DOIUrl":"10.1016/j.wasman.2024.12.033","url":null,"abstract":"<p><p>Biofiltration is an important method for composting off-gas treatment. Compost-based materials are widely used as the filling media for biofilter. To expand the application of compost from different composting materials in off-gas control for organic waste aerobic composting, the NH₃ removal efficiency, N₂O generation, and microbial communities of ammonia monooxygenase (amoA functional gene was selected) and nitrite reductase (nirS functional gene was selected) were investigated using the animal manure compost (AMC) and sludge compost (SC) as filling materials. AMC showed a higher NH₃ removal efficiency (average 82.9 ± 12.1 %) than SC (average 58.9 ± 21.9 %). Achieving stable NH₃ removal took longer with the AMC biofilter than with the SC biofilter. More N₂O was emitted from the AMC than from the SC. The ammonia-oxidizing bacteria (AOB) community composition in the AMC changed significantly after 30 days, whereas the denitrifying bacterial communities changed minimally. The AOB community structure in the SC was more stable than that in the AMC; however, the community compositions in the AMC and SC gradually converged with the extension of operation. These results indicate that the AMC is more suitable than the SC as biofilter filling material for NH₃ control. This study provides a significant reference for optimizing the application of compost-based biofilter off-gas control technology.</p>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"193 ","pages":"472-480"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142903774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Steam explosion pretreatment of separated dairy cattle manure: Mass balances and effect on biomethane potential.","authors":"Elisabeth Anne Cazier, Simone Brethauer, Patrice Claude Bühler, Michael Hans-Peter Studer","doi":"10.1016/j.wasman.2024.11.037","DOIUrl":"10.1016/j.wasman.2024.11.037","url":null,"abstract":"<p><p>Manure is a renewable feedstock, whose theoretical potential for biogas production is scarcely deployed due to modest methane yields that prevent economic feasible operation of anaerobic digestion plants. Steam explosion pretreatment has the potential to improve the digestibility of manure, however it is energy intensive, and the optimal conditions depend on the feedstock. In this work, the solid and the liquid fraction of separated dairy cattle manure were pretreated between 130 and 210 °C for 5 to 40 min by steam explosion to individually determine the optimal conditions for each fraction. Additionally, mass balances for volatile solids (VS), cellulose, hemicellulose and proteins were performed to better understand the effects of the pretreatment. For the manure solids, a pretreatment at 130 °C for 20 min was most effective, the biomethane potential (BMP) improved by 40 %. In contrast, the BMP of the liquid fraction could not be improved at any pretreatment condition. The mass balances showed that at more severe conditions up to 18 % of the VS were lost by decomposition and/or evaporation, with the proteins being the most thermolabile fraction. Based on the observation, that a pretreatment of the liquid phase can be omitted, a heat integrated plant concept is suggested where the necessary heat input is only as large as in conventional anaerobic digestion. Taken together, this work underlined the benefits of steam explosion pretreatment of manure and identified the prevention of VS loss as a promising avenue for further improving the process.</p>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"193 ","pages":"180-189"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142819193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Bacterial biofilm-based bioleaching: Sustainable mitigation and potential management of e-waste pollution.","authors":"Krishnamurthy Mathivanan, Ruiyong Zhang, Jayaraman Uthaya Chandirika, Thangavel Mathimani, Can Wang, Jizhou Duan","doi":"10.1016/j.wasman.2024.12.010","DOIUrl":"10.1016/j.wasman.2024.12.010","url":null,"abstract":"<p><p>Significant advances in the electrical and electronic industries have increased the use of electrical and electronic equipment and its environmental emissions. The e-waste landfill disposal has deleterious consequences on human health and environmental sustainability, either directly or indirectly. E-waste containing ferrous and non-ferrous materials can harm the surrounding aquatic and terrestrial environments. Therefore, recycling e-waste and recovering metals from it before landfill disposal is an important part of environmental management. Although various chemical and physical processes are being used predominantly to recover metals from e-waste, the bioleaching process has gained popularity in recent years due to its eco-friendliness and cost-effectiveness. Direct contact between microbes and e-waste is crucial for continuous metal dissolution in the bio-leaching process. Biofilm formation is key for the continuous dissolution of metals from e-waste in contact bioleaching. Critical reviews on microbial activities and their interaction mechanisms on e-waste during metal bioleaching are scarce. Therefore, this review aims to explore the advantages and disadvantages of biofilm formation in contact bioleaching and the practical challenges in regulating them. In this review, sources of e-waste, available metallurgical methods, bioleaching process, and types of bioleaching microbes are summarized. In addition, the significance of biofilm formation in contact bioleaching and the role and correlation between EPS production, cyanide production, and quorum sensing in the biofilm are discussed for continuous metal dissolution. The review reveals that regulation of quorum sensing by exogenous and endogenous processes facilitates biofilm formation, leading to continuous metal dissolution in contact bioleaching.</p>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"193 ","pages":"221-236"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142822201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Enhancing the Efficiency of Plastic Recovery Facilities: Systematically Integrating Seasonal and Regional Variations of Municipal Solid Recyclable Waste Through Infeed Management.","authors":"Jude Shalitha Perera, Shanaka Kristombu Baduge, Egodawaththa Ralalage Kanishka Chandrathilaka, Sadeep Thilakarathna, Thilini S Palle, A M Amado, Priyan Mendis","doi":"10.1016/j.wasman.2024.12.009","DOIUrl":"10.1016/j.wasman.2024.12.009","url":null,"abstract":"<p><p>Plastic Recovery Facilities are typically designed to process a specific, predetermined mix of plastic in the infeed. However, in many cases, the composition of the infeed varies seasonally and regionally. These variations may result in bottlenecks within sorting machines, thereby causing inconsistencies in the quality and quantity of recovered material. While most recovery facilities attempt to mix different bales before feeding them into the sorting line, relying on trial and error based on the material compositions of those bales, there is a lack of a systematic approach to this process. This paper introduces a systematic approach to plastic sorting within a plastic recovery facility, where the entire recovery process flow is dynamically modelled and validated. By identifying bottleneck regions within the system, infeed bales can be premixed to achieve the designed proportions, ensuring that machines and process lines are optimised for maximum efficiency. A pre-waste survey is necessary to achieve premixing, and the cost is justified by the benefits of the final return. To enhance the efficiency, it is crucial to implement a dynamic mixing model adaptable to daily variations in infeed. In this study, the dynamic optimisation model is designed in the form of simple mixing charts, allowing for on-site premix adjustments to bales without the need for additional equipment or tools. The proposed design chart based mixing methodology can be adopted across the globe to increase the output of established plastic recovery facilities.</p>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"193 ","pages":"261-272"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142847782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Plastic input and dynamics in industrial composting.","authors":"Stoyana Peneva, Quynh Nhu Phan Le, Davi R Munhoz, Olivia Wrigley, Giovana P F Macan, Heidi Doose, Wulf Amelung, Melanie Braun","doi":"10.1016/j.wasman.2024.11.043","DOIUrl":"10.1016/j.wasman.2024.11.043","url":null,"abstract":"<p><p>Green and biowaste, processed within large facilities into compost, is a key fertilizer for agricultural and horticultural soils. However, due to improper waste disposal of plastic, its residues often remain or even lead to the formation ofmicroplastics (1 µm - 5 mm, MiPs) in the final compost product. To better understand the processes, we first quantified 'macroplastics' (> 20 mm, MaPs) input via biowaste collection into an industrial composting plant, and, then determined MiP concentrations at five stages during the composting process (before and after shredding and screening processes), and in the water used for irrigation. The total concentrations of MaPs in the biowaste collected from four different German districts ranged from 0.36 to 1.95 kg ton^-1 biowaste, with polyethylene (PE) and polypropylene (PP) representing the most abundant types. The \"non-foil\" and \"foil\" plastics occurred in similar amounts (0.51 ± 0.1 kg ton^-1 biowaste), with an average load of 0.08 ± 0.01 items kg^-1 and 0.05 ± 0.01 items kg^-1, respectively. Only 0.3 ± 0.1 kg MaP t^-1 biowaste was biodegradable plastic. Compost treatment by shredding tripled the total number of MaPs and MiPs to 33 items kg^-1, indicating an enrichment of particles during the process and potential fragmentation. Noticeably, a substantial amount of small MiPs (up to 22,714 ± 2,975 particles L^-1) were found in the rainwater used for compost moistening, being thus an additional, generally overlooked plastic source for compost. Our results highlight that reducing plastic input via biowaste is key for minimizing MiP contamination of compost.</p>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"193 ","pages":"283-292"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"ECCDN-Net: A deep learning-based technique for efficient organic and recyclable waste classification.","authors":"Md Sakib Bin Islam, Md Shaheenur Islam Sumon, Molla E Majid, Saad Bin Abul Kashem, Mohammad Nashbat, Azad Ashraf, Amith Khandakar, Ali K Ansaruddin Kunju, Mazhar Hasan-Zia, Muhammad E H Chowdhury","doi":"10.1016/j.wasman.2024.12.023","DOIUrl":"10.1016/j.wasman.2024.12.023","url":null,"abstract":"<p><p>Efficient waste management is essential to minimizing environmental harm as well as encouraging sustainable progress. The escalating volume and sophistication of waste present significant challenges, prompting innovative methods for effective waste categorization and management. Deep learning models have become highly intriguing tools for automating trash categorization activities, providing effective ways to optimize processes for handling waste. Ourwork presents a novel deep learning method for trash classification, with the goal to improve the accuracy, also efficiency of garbage image categorization. We examined the effectiveness of several pre-trained models, such as InceptionV2, Densenet201, MobileNet v2, and Resnet18, using objective evaluation and cross-validation. We proposed an Eco Cycle Classifier Deep Neural Network (ECCDN-Net) model that is particularly built for the categorization of waste images. ECCDN-Net utilizes the advantageous qualities of Densenet201 and Resnet18 by merging their capacities to extract features, enhanced with auxiliary outputs to optimize the classification procedure. The set of imagesused in this study comprises 24,705 images that are divided into two distinct classes: Organic and Recyclable. The set allows extensive evaluation and training of deep learning models for waste classification of images tasks. Our research demonstrates that the ECCDN-Net model classifies waste images with 96.10% accuracy, outperforming other pre-trained models. Resnet18 had 92.68% accuracy, MobileNet v2 93.27%, Inception v3 94.77%, and Densenet201, a significant improvement, 95.98%. ECCDN-Net outperformed these models in waste image categorization with 96.10% accuracy. We ensure the reliability and generalizability of our methods throughout the dataset by integrating and cross-validating deep learning models. The current work introduces an innovative deep learning-based approach that has promising potential for waste categorization and management strategies.</p>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"193 ","pages":"363-375"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142871807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Unveiling the resource potential of space debris: A forecast of valuable metals to 2050.","authors":"Fumihiro Hayashi, Arata Kioka, Takuma Ishii, Takumu Nakamura","doi":"10.1016/j.wasman.2024.12.019","DOIUrl":"10.1016/j.wasman.2024.12.019","url":null,"abstract":"<p><p>The proliferation of space debris poses a significant challenge in modern space exploration, with potential repercussions for the future space environment and activities. Various research and technological developments have addressed these concerns, including estimating the number of space debris orbiting the Earth and its efficient removal. This paper proposes a novel resource-oriented perspective on space debris and focuses on the composition and resource potential of space debris. This study forecasts for the first time the annual mass changes in resource materials (Al, Al₂O₃, Ti, Fe, Cu, and Ag) by the year 2050 by employing a debris environment model simulation. Our simulation reveals that the masses of all the studied resource elements in an Earth orbital altitude of 400 km will increase by 2050. For example, Al and Ti at the 400 km altitude band will increase from 3.0 × 10⁶ kg and 3.2 × 10⁵ kg (in 2016) to 3.8 × 10⁷ kg and 4.2 × 10⁶ kg (in 2050), respectively, climbing at least ten times from 2016 to 2050, on the conservative estimates with a high post-mission disposal success rate. These comparative influxes of Al and Ti in 2050 due to space debris are at least 100 times higher than the natural influxes into the Earth's atmosphere due to meteoroids, further highlighting the significance of space debris. Our simulation results suggest that space debris may hold significant space resource potential in the next 25 years but can be a considerable environmental contaminant impeding space sustainability.</p>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"193 ","pages":"376-385"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142871985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}