Waste managementPub Date : 2025-03-18DOI: 10.1016/j.wasman.2025.114752
Taikun Yin , Xinya Huang , Yikang Wang , Chao He , Liang Liu , Pengfei Li , Youzhou Jiao , Gang Li
{"title":"Sustainable biomass processing: Optimizing energy efficiency through ash waste heat recovery for fuels dewatering","authors":"Taikun Yin , Xinya Huang , Yikang Wang , Chao He , Liang Liu , Pengfei Li , Youzhou Jiao , Gang Li","doi":"10.1016/j.wasman.2025.114752","DOIUrl":"10.1016/j.wasman.2025.114752","url":null,"abstract":"<div><div>Biomass power generation technologies face challenges in cost competitiveness due to high energy consumption during dewatering. Utilizing waste heat for fuel dewatering is a viable solution to reduce energy consumption and improve efficiency. Herein, spherical heat carrier (SHC) was prepared by encapsulating sand using metal spherical shell, providing a low cost and efficient means for transferring ash heat to dewater biomass. The effects of temperature of heat source (ash or SHC), mixing mass ratio, loading of sand and moisture content of biomass on the recovery and utilization of ash waste heat, and dewatering effect of biomass were optimized by using response surface method. As results, ash temperature and mass ratio were the main factors affecting heat recovery rate and the effective heat transfer coefficient in the heat exchange between SHCs and ash, while SHC temperature and moisture content were the main factors of dehydration rate and the effective heat transfer coefficient in the peanut shells dewatering. The optimal overall thermal efficiency of the continuous process was 36% and the specific energy consumption was 2.13 kWh·kg<sub>water</sub><sup>−1</sup>. This work provided a technically feasible and efficient way for biomass ash waste heat utilization and biomass fuel dewatering.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"200 ","pages":"Article 114752"},"PeriodicalIF":7.1,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642158","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 operational efficiency in a voluntary recycling project through data-driven waste collection optimization","authors":"Sanyapong Petchrompo , Rasita Chitniyom , Naplaifa Peerwantanagul , Wasakorn Laesanklang , Jirachaya Suwanapong , Shuleeporn Borrisuttanakul","doi":"10.1016/j.wasman.2025.114741","DOIUrl":"10.1016/j.wasman.2025.114741","url":null,"abstract":"<div><div>Recycling in developing countries is often driven by voluntary initiatives, typically led by the private sector. While commendable, these efforts face significant challenges, particularly in ensuring operational efficiency due to their non-profit nature. The logistics process involves collecting recyclable plastics from collection points and delivering them to a recycling facility. This aspect is crucial, as it represents the largest cost component, making optimization essential. Traditional approaches, such as the Traveling Salesman Problem and its meta-heuristic variants, are time-consuming for practical applications. To address these challenges, we propose a three-step data-driven approach designed to optimize waste collection within the constraints of non-profit projects. The first step uses K-means clustering to group collection points geographically, reducing the complexity of subsequent optimization stages. The optimization models in the second and third steps aim to maximize the amount of recyclable plastic per trip and determine the most efficient collection route. Real-time data on waste volume at each point and live traffic conditions, retrieved via the Intelligent Traffic Information Center, are integrated into these models, making it possible to achieve a high level of practicality and accuracy. The efficacy of this approach is demonstrated through a case study of the Won Project, involving 152 plastic waste collection points. The results show a significant daily increase in the average amount of plastic collected and reduction in the average distance traveled. The proposed method can produce prompt, reliable solutions for daily operations using open-source software, successfully addressing the challenges of voluntary waste collection projects.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"200 ","pages":"Article 114741"},"PeriodicalIF":7.1,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Waste managementPub Date : 2025-03-18DOI: 10.1016/j.wasman.2025.114748
Quan Bu , Jianmei Bai , Bufei Wang , Leilei Dai , Hairong Long
{"title":"Machine learning-assisted prediction of gas production during co-pyrolysis of biomass and waste plastics","authors":"Quan Bu , Jianmei Bai , Bufei Wang , Leilei Dai , Hairong Long","doi":"10.1016/j.wasman.2025.114748","DOIUrl":"10.1016/j.wasman.2025.114748","url":null,"abstract":"<div><div>A general method for predicting gas yield is crucial in biomass and plastics co-pyrolysis. This study employed two machine learning methods to forecast gas yield in co-pyrolysis. Comparing the predictive performance of Support Vector Regression (SVR) with an R<sup>2</sup> of 0.72 and a root mean square error (RMSE) of 0.15, while eXtreme Gradient Boosting (XGBoost) demonstrated a superior performance with an R<sup>2</sup> of 0.90 and an RMSE of 0.08. Therefore, XGBoost was selected as the final prediction model. Results obtained from the machine learning interpretation tool, SHapley Additive exPlanations (SHAP), revealed that the two most influential factors affecting gas yield were the highest co-pyrolysis temperature (HTT) and the blending ratio (BR), contributing 33% and 28% to the model’s predictions, respectively. Besides, the moisture content in biomass (MB) has been found to be one of the critical variables affecting the gaseous products yield. To determine the interaction between these factors and their contributions to gas yield, SHAP partial dependence analysis (SHAP PDA) was conducted. Therefore, this study offers novel insights into predicting gas yields in biomass and plastics co-pyrolysis, aiding in identifying optimal conditions for maximizing gas yield production.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"200 ","pages":"Article 114748"},"PeriodicalIF":7.1,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642161","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}
Waste managementPub Date : 2025-03-16DOI: 10.1016/j.wasman.2025.114740
Silvia Parrilla-Lahoz , Elena Jiménez-Páez , Mateus G. Masteghin , Joel J. Pawlak , Richard A. Venditti , Robert Bird , Paul Servin , Jose Antonio Odriozola , Tomas Ramirez Reina , Melis S. Duyar
{"title":"Upcycling textile derived microplastics waste collected from washer and dryers to carbonaceous products using hydrothermal carbonization","authors":"Silvia Parrilla-Lahoz , Elena Jiménez-Páez , Mateus G. Masteghin , Joel J. Pawlak , Richard A. Venditti , Robert Bird , Paul Servin , Jose Antonio Odriozola , Tomas Ramirez Reina , Melis S. Duyar","doi":"10.1016/j.wasman.2025.114740","DOIUrl":"10.1016/j.wasman.2025.114740","url":null,"abstract":"<div><div>Microplastics are an emerging pollutant of concern. Many microplastics in the waters arise from washing synthetic textiles in residential and commercial washing machines. The present research evaluated the upcycling of this waste to carbon materials by hydrothermal carbonization. Real microfiber waste was collected using clothes washer and dryer microfilters. Via temperature and residence time screening (200 °C, 250 °C, 300 °C and 1 h, 4 h, 8 h) two temperatures of interest were determined (250 °C and 300 °C) for hydrothermal carbonization, for a residence time of 4 h. The results obtained in this research demonstrated that by varying the reaction conditions carbon production can be tailored, producing amorphous carbon or graphene/graphite. To this end, Raman spectroscopy results indicated the production of carbon nanomaterials; smaller particle sizes were detected after 250 °C-4h and 300 °C-4h treatments, (29.6 nm and 33.1 nm, respectively). Transforming microfibers into useful carbon nanoparticles via hydrothermal carbonization prolongs their lifecycle and mitigates environmental pollution. This process is an intriguing method of incorporating textile residue (microfibers) into the circular economy, where resources are perpetually recycled, and waste is avoided.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"200 ","pages":"Article 114740"},"PeriodicalIF":7.1,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632208","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}
Waste managementPub Date : 2025-03-16DOI: 10.1016/j.wasman.2025.114749
Asal Shoaei, Sadegh Firoozi
{"title":"Recovery of lithium, cobalt and nickel from the spent NMC Li-ion battery by reduction roasting, selective leaching and precipitation","authors":"Asal Shoaei, Sadegh Firoozi","doi":"10.1016/j.wasman.2025.114749","DOIUrl":"10.1016/j.wasman.2025.114749","url":null,"abstract":"<div><div>Valuable elements from the NMC Li-ion battery black mass were recovered by reduction roasting and selective leaching/precipitation. Active materials were separated from the Al/Cu collector foils by thermal treatment and then subjected to reduction roasting by carbon anode in the temperature range of 600–900 °C for 2 h. The progress of the reactions was studied via XRD, TGA-DTA, and thermodynamic modeling. Ni/Co reduction was completed at T ≥ 800 °C and transformation of Li<sub>2</sub>CO<sub>3</sub> to Li<sub>2</sub>O occurred at 900 °C. Water leaching was employed to separate lithium from roasted products and about 93 % of Li was selectively extracted from the roasted product. Pure Li<sub>2</sub>CO<sub>3</sub> was precipitated from the solution by CO<sub>2</sub> injection without purification or the addition of pH modifiers. Mn was then selectively leached from the Li-depleted powder by citric acid. The effect of citric acid concentration, temperature, and time on the leaching efficiency of Mn was studied. About 95 % Mn was removed from the powder at a citric acid concentration of 0.15 M, T = 75 °C, time = 200 min, and S/L = 20 g/L. The activation energy of the Mn dissolution was measured as 15.5 kJ/mol suggesting a diffusional controlled mechanism. A Ni-Co alloy powder was obtained as the final leaching residue. This study provides an effective and practical approach for recycling valuable metals from spent NMC Li-ion batteries.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"200 ","pages":"Article 114749"},"PeriodicalIF":7.1,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637086","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}
Waste managementPub Date : 2025-03-15DOI: 10.1016/j.wasman.2025.114743
Diana Victoria Arellano-Yasaca , Chen-Yeon Chu
{"title":"Insights into nutrients recovery from food waste liquid Digestate: A critical review and systematic analysis","authors":"Diana Victoria Arellano-Yasaca , Chen-Yeon Chu","doi":"10.1016/j.wasman.2025.114743","DOIUrl":"10.1016/j.wasman.2025.114743","url":null,"abstract":"<div><div>This review paper presents a critical analysis of global research on the liquid fraction of food waste (FW) digestate. The study found that research on FW liquid fraction management accounted for 43% of the literature, followed by treatment methods (26%) and physical–chemical characterization (22%). By 2023, China led in scientific production on FW liquid fraction, contributing 46%, followed by Poland with 10% and the USA with 8%. The review emphasizes current technologies for nutrient recovery from the liquid fraction, as well as practical implications and limitations, identifying gaps in the literature. The most used methods for nutrient recovery were biofertilizer production from microalgae and membrane technologies. However, there is a need for further research on nutrient value, circular economy integration, the impact of food additives, ecological problems associated with FW decomposition, pathogen breeding, harmonized legislation to support recovered fertilizer commercialization and innovative nutrient recovery technologies. This approach provides valuable insights for stakeholders, enabling the creation of effective strategies that promote sustainable agricultural practices and circular economy initiatives through nutrient recovery from FW digestate.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"200 ","pages":"Article 114743"},"PeriodicalIF":7.1,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628370","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":"Competitive adsorption and diffusion of methane and vapor-phase per- and polyfluoroalkyl substances in montmorillonite nano pores: Environmental implications","authors":"Rui Xu , Qiao Wang , Fusheng Zha , Jiawei Wu , Bokade Mrunal Sunil Shobha , Devendra Narain Singh","doi":"10.1016/j.wasman.2025.114746","DOIUrl":"10.1016/j.wasman.2025.114746","url":null,"abstract":"<div><div>Vapor-phase perfluoroalkyl and polyfluoroalkyl substances (PFASs), along with methane emissions from landfills has been key contributors of their atmospheric transport and global distribution. Given the persistence, bioaccumulation, and potential health risks associated with PFAS, understanding their transport behavior in landfill gas barrier is of paramount importance. To gain a deeper understanding of the adsorption and diffusion behavior of vapor-phase PFAS in unsaturated, montmorillonite-rich clay barriers, a molecular dynamics simulation was conducted. A 5-nm montmorillonite nanopore incorporating vapor-phase PFAS (Fluorotelomer alcohol, FTOH), methane, and water molecules was modeled considering the interactions between these species. The results indicate that the presence of methane within the montmorillonite system inhibits the diffusion of both water and FTOH. Additionally, methane competes with FTOH for sorption sites, particularly at low moisture content. At 5 % moisture content, the adsorption density peak of methane is 1.5 times greater than that of FTOH due to stronger van der Waals interactions between methane and montmorillonite. However, as moisture content increases, methane adsorption weakens and becomes more dispersed within the montmorillonite pores. In contrast, FTOH retains a distinct adsorption region at 20 % moisture content, exhibiting a density peak of 0.025 g/cm<sup>3</sup> that shifts farther from the montmorillonite surface. At high moisture content, FTOH aggregates due to the hydrophobicity of its C-F tail. These findings provide critical insights into the environmental behavior of volatile PFASs and have important implications for the design and optimization of landfill gas barriers.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"200 ","pages":"Article 114746"},"PeriodicalIF":7.1,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621393","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}
Waste managementPub Date : 2025-03-14DOI: 10.1016/j.wasman.2025.114742
Xiazhen Xu , Chenyang Wang , Qiufeng Yi , Jiaqi Ye , Xiangfei Kong , Shazad Q Ashraf , Karl D. Dearn , Amir M. Hajiyavand
{"title":"MedBin: A lightweight End-to-End model-based method for medical waste management","authors":"Xiazhen Xu , Chenyang Wang , Qiufeng Yi , Jiaqi Ye , Xiangfei Kong , Shazad Q Ashraf , Karl D. Dearn , Amir M. Hajiyavand","doi":"10.1016/j.wasman.2025.114742","DOIUrl":"10.1016/j.wasman.2025.114742","url":null,"abstract":"<div><div>The surge in medical waste has highlighted the urgent need for cost-effective and advanced management solutions. In this paper, a novel medical waste management approach, “MedBin,” is proposed for automated sorting, reusing, and recycling. A comprehensive medical waste dataset, ”MedBin-Dataset“ is established, comprising 2,119 original images spanning 36 categories, with samples captured in various backgrounds. The lightweight ”MedBin-Net“ model is introduced to enable detection and instance segmentation of medical waste, enhancing waste recognition capabilities. Experimental results demonstrate the effectiveness of the proposed approach, achieving an average precision of 0.91, recall of 0.97, and F1-score of 0.94 across all categories with just 2.51 M parameters (where M stands for million, i.e., 2.51 million parameters), 5.20G FLOPs (where G stands for billion, i.e., 5.20 billion floating-point operations per second), and 0.60 ms inference time. Additionally, the proposed method includes a World Health Organization (WHO) Guideline-Based Classifier that categorizes detected waste into 5 types, each with a corresponding disposal method, following WHO medical waste classification standards. The proposed method, along with the dedicated dataset, offers a promising solution that supports sustainable medical waste management and other related applications. To access the MedBin-Dataset samples, please visit <span><span>https://universe.roboflow.com/uob-ylti8/medbin_dataset</span><svg><path></path></svg></span>. The source code for MedBin-Net can be found at <span><span>https://github.com/Wayne3918/MedbinNet</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"200 ","pages":"Article 114742"},"PeriodicalIF":7.1,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Waste managementPub Date : 2025-03-12DOI: 10.1016/j.wasman.2025.02.051
Javier Galán, Miguel González, Paula Moral, Álvaro García-Martín, José M. Martínez
{"title":"Transforming urban waste collection inventory: AI-Based container classification and Re-Identification","authors":"Javier Galán, Miguel González, Paula Moral, Álvaro García-Martín, José M. Martínez","doi":"10.1016/j.wasman.2025.02.051","DOIUrl":"10.1016/j.wasman.2025.02.051","url":null,"abstract":"<div><div>This work lays the groundwork for creating an automated system for the inventory of urban waste elements. Our primary contribution is the development of, to the best of our knowledge, the first re-identification system for urban waste elements that uses Artificial Intelligence and Computer Vision, incorporating information from a classification module and geolocation context to enhance post-processing performance. This re-identification system helps to create and update inventories by determining if a new image matches an existing element in the inventory based on visual similarity or, if not, by adding it as a new identity (new class or new identity of an existing class). Such a system could be highly valuable to local authorities and waste management companies, offering improved facility maintenance, geolocation, and additional applications. This work also addresses the dynamic nature of urban environments and waste management elements by exploring Continual Learning strategies to adapt pretrained systems to new settings with different urban elements. Experimental results show that the proposed system operates effectively across various container types and city layouts. These findings were validated through testing in two different Spanish locations, a “City” and a “Campus”, differing in size, illumination conditions, seasons, urban design and container appearance. For the final re-identification system, the baseline system achieves 53.18 mAP (mean Average Precision) in the simple scenario, compared to 21.54 mAP in the complex scenario, with additional challenging unseen variability. Incorporating the proposed post-processing techniques significantly improved results, reaching 74.14 mAP and 71.75 mAP in the simple and complex scenario respectively.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"199 ","pages":"Pages 25-35"},"PeriodicalIF":7.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601399","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}
Waste managementPub Date : 2025-03-12DOI: 10.1016/j.wasman.2025.114745
Ze Zhang , Yang Yu , Yi Rao , Ying Wang , Chunjiang Yu , Zhongli Luo , Hongjun Zhao , Xiaona Wang , Ming Gao , Qunhui Wang , Chuanfu Wu
{"title":"Chelation treatment for heavy metals in municipal solid waste incineration fly ash: 300-Day study on stability and environmental risk","authors":"Ze Zhang , Yang Yu , Yi Rao , Ying Wang , Chunjiang Yu , Zhongli Luo , Hongjun Zhao , Xiaona Wang , Ming Gao , Qunhui Wang , Chuanfu Wu","doi":"10.1016/j.wasman.2025.114745","DOIUrl":"10.1016/j.wasman.2025.114745","url":null,"abstract":"<div><div>Landfilling after chelation is the primary method for treating municipal solid waste incineration fly ash (MSWI FA), but the long-term environmental risks of its heavy metals (HMs) remain unclear. This study used three common organic chelating agents (CAs) to stabilize MSWI FA and assessed its 300-day stability under mixed and zoned landfill scenarios. The findings showed that Pb leaching posed high environmental risks, especially in zoned landfills, with 10-year cumulative leaching of 300 mg/kg, while Cu and Zn leaching remained within limits, indicating lower environmental risks. In mixed landfills, 1.6 %-TS-300, 1.6 %-SDD, and 2.4 %-DP maintained HM leaching within landfill limits but exceeded them after 220, 30, and 60 days, respectively. In contrast, when zoned landfilling, the effective time of the chelated products was significantly shortened. Under landfill requirements, chelate effectiveness was significantly shorter, with TS-300, SDD, and DP stabilizing HMs for only 30, 18, and 10 days. The study found that CAs not only form organic complexes with HMs but also precipitates (e.g., CuS) in MSWI FA, reducing leaching. Furthermore, TS-300 can convert Pb from unstable Pb<sup>4+</sup> to stable Pb<sup>2+</sup> form, enhancing its long-term stability. In summary, CAs mitigate environmental risks of MSWI FA, but HMs leaching increase over time, especially in zoned landfills. It is advised to apply a waterproof cover to chelated MSWI FA during landfilling to mitigate environmental risks.</div></div>","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"200 ","pages":"Article 114745"},"PeriodicalIF":7.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611234","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}