Waste Management & Research最新文献_第2页

Influence of mandatory waste classification on environmental and economic impacts of residual waste treatment in Xiamen, China. 中国厦门强制垃圾分类对残余垃圾处理的环境和经济影响。

IF 3.7 4区环境科学与生态学

Waste Management & Research Pub Date : 2025-04-01 Epub Date: 2024-07-28 DOI: 10.1177/0734242X241265055

Xiaomei Jian, Yupeng Liu, Zhi-Long Ye, Wei-Qiang Chen

{"title":"Influence of mandatory waste classification on environmental and economic impacts of residual waste treatment in Xiamen, China.","authors":"Xiaomei Jian, Yupeng Liu, Zhi-Long Ye, Wei-Qiang Chen","doi":"10.1177/0734242X241265055","DOIUrl":"10.1177/0734242X241265055","url":null,"abstract":"Mandatory waste classification has been widely considered as an effective solution for reducing the production and treatment amount of municipal solid waste. However, there is limited evidence regarding whether and how waste classification can affect the composition of residual waste (RW) and its environmental economic impacts. Here, an accounting method recommended by the Intergovernmental Panel on Climate Change, field surveys and cost-benefit analysis was utilized to investigate the changes in RW composition, environmental impacts and economic benefits under the waste classification policies implementation in Xiamen, China. This study found that: (1) The implementation of waste classification policies led to a significant increase in recyclable content from 17% to 51% and a decrease in organic content from 56% to 32%. (2) Waste classification effectively reduces greenhouse gas emissions from landfilling and incineration by an additional 0.34 tCO2-eq t-1 RW. (3) The introduction of mechanical recycling achieves a saving of 0.47 tCO2-eq t-1 RW at 40% recycling efficiency, a 4.5-fold increase compared to business as usual (BAU). (4) The operational benefits (900 yuan t-1 RW) from the recyclables sorting system offset the total expenses of investment, operation and waste disposal. The study successfully demonstrated that RW source-classified management can optimize the structure of waste composition, reduce environmental emissions and offer detailed guidance for the development of solid waste management systems in other cities in China.","PeriodicalId":23671,"journal":{"name":"Waste Management & Research","volume":" ","pages":"555-567"},"PeriodicalIF":3.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141789174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

引用次数: 0

Valorisation of grape stem as an alternative ingredient in rabbit feed. 葡萄茎作为兔饲料替代成分的价值。

IF 3.7 4区环境科学与生态学

Waste Management & Research Pub Date : 2025-04-01 Epub Date: 2024-06-20 DOI: 10.1177/0734242X241259660

David San Martin, Jone Ibarruri, Monica Gutierrez, Jorge Ferrer, Aser Garcia-Rodriguez, Idoia Goiri, Jabier Urkiza, Jaime Zufía, Estíbaliz Sáez de Cámara, Bruno Iñarra

{"title":"Valorisation of grape stem as an alternative ingredient in rabbit feed.","authors":"David San Martin, Jone Ibarruri, Monica Gutierrez, Jorge Ferrer, Aser Garcia-Rodriguez, Idoia Goiri, Jabier Urkiza, Jaime Zufía, Estíbaliz Sáez de Cámara, Bruno Iñarra","doi":"10.1177/0734242X241259660","DOIUrl":"10.1177/0734242X241259660","url":null,"abstract":"Grape stem is a winery by-product that it is currently disposed as waste or at best as soil conditioner. However, it is rich in fibres and polyphenols which makes it interesting for animal feeding. In this regard, rabbit farming emerges as a target livestock farming since fibre content is essential in rabbit's diets for preventing digestive troubles and polyphenols are associated with improved performances in animals due to their antimicrobial and antioxidant activities. This study aims to assess the suitability of a grape stem-based ingredient for rabbit feeding. The stem was dried using flash drying technology to prevent rapid spoilage and stabilise the ingredient. Then, its nutritional value was evaluated resulting in a high fibre (>40%) and polyphenol (>6%) content ingredient with antioxidant and antimicrobial activity against Staphylococcus aureus. A feed efficiency trial was conducted and inclusion rates of up to 10% of grape stem-based ingredient did not affect animals' mortality, average daily feed intake, daily gain or feed conversion ratio. In conclusion, grape stem-based ingredient arises as a secondary feedstuff for cuniculture reducing the dependence on other fibre sources, such as cereals or sunflower hulls. This could also contribute to reduce the environmental footprint of the wine sector by giving a second life to an existing waste, while generating a new activity based on circular economy.","PeriodicalId":23671,"journal":{"name":"Waste Management & Research","volume":" ","pages":"593-601"},"PeriodicalIF":3.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141432883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

引用次数: 0

Soft sensing of NOx emission from waste incineration process based on data de-noising and bidirectional long short-term memory neural networks. 基于数据去噪和双向长短期记忆神经网络的垃圾焚烧过程氮氧化物排放软传感。

IF 3.7 4区环境科学与生态学

Waste Management & Research Pub Date : 2025-04-01 Epub Date: 2024-07-30 DOI: 10.1177/0734242X241259643

Zhenghui Li, Zhuliang Yu, Da Chen, Longqian Li, Zhimin Lu, Shunchun Yao

{"title":"Soft sensing of NOx emission from waste incineration process based on data de-noising and bidirectional long short-term memory neural networks.","authors":"Zhenghui Li, Zhuliang Yu, Da Chen, Longqian Li, Zhimin Lu, Shunchun Yao","doi":"10.1177/0734242X241259643","DOIUrl":"10.1177/0734242X241259643","url":null,"abstract":"Continuous emission monitoring system is commonly employed to monitor NOx emissions in municipal solid waste incineration (MSWI) processes. However, it still encounters the challenges of regular maintenance and measurement lag. These issues significantly impact the accurate and stable control of NOx emissions. Therefore, developing a soft NOx emission sensor to complement hardware monitoring becomes imperative. Considering data noise, dynamic nonlinearity, time series characteristics and volatility in the MSWI process, this article introduces a soft sensor model for NOx emission prediction utilizing the complete ensemble empirical mode decomposition adaptive noise (CEEMDAN)-wavelet threshold (WT) method and bidirectional long short-term memory (Bi-LSTM). Firstly, the original data signal is decomposed into a group of intrinsic mode functions (IMFs) using the CEEMDAN. Subsequently, the WT processes the high-frequency IMFs that are noise-dominant. Then, all IMFs are reconstructed to obtain the denoized signal. Finally, the Bi-LSTM model is employed to predict NOx emissions. Compared to conventional modelling approaches, the model proposed in this article demonstrates the best predictive performance. The mean absolute percentage error, root-mean-squared error and average absolute error on the test set of the proposed model are 3.75%, 5.34 mg m-3 and 4.34 mg m-3, respectively. The proposed model provides a new method to soft sensing NOx emissions. It holds significant practical value for precise and stable monitoring of NOx emissions in MSWI processes and provides a reference for research on modelling key process parameters.","PeriodicalId":23671,"journal":{"name":"Waste Management & Research","volume":" ","pages":"602-615"},"PeriodicalIF":3.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141793633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

引用次数: 0

Life cycle approach as a tool for assessing municipal biowaste treatment units: A systematic review.

IF 3.7 4区环境科学与生态学

Waste Management & Research Pub Date : 2025-03-27 DOI: 10.1177/0734242X251326866

Laís Fabiana Serafini, Paulo José Gomes Monteiro Praça, Fernando González-Andrés, Artur Gonçalves

{"title":"Life cycle approach as a tool for assessing municipal biowaste treatment units: A systematic review.","authors":"Laís Fabiana Serafini, Paulo José Gomes Monteiro Praça, Fernando González-Andrés, Artur Gonçalves","doi":"10.1177/0734242X251326866","DOIUrl":"https://doi.org/10.1177/0734242X251326866","url":null,"abstract":"Biowaste is an increasingly relevant environmental issue worldwide, causing significant environmental, economic and social impacts. Effective strategies are crucial to mitigate impacts, maximising biowaste's valorisation. This article presents a systematic literature review on using life cycle assessment (LCA) to evaluate municipal biowaste treatment facilities. The primary objective was to analyse how LCA is applied to assess the environmental efficiency of mechanical and biological treatment involving composting and anaerobic digestion (AD)-based systems. The article addressed the methodological heterogeneity across previous LCA studies, identifying critical gaps and challenges regarding standardisation and result comparability. It underscores the importance of accurately considering environmental indicators and emission factors, as these significantly affect overall LCA outcomes. Results show that most publications focus on Europe and Asia, highlighting a research gap in regions like Africa. The organic fraction municipal solid waste is the predominant feedstock, and 1 tonne of biowaste was the frequently used functional unit, reflecting the upstream impacts of waste. The most recurrent system boundary was the cradle-to-grave, offering a comprehensive analysis as it covers all stages of biowaste treatment from collection to disposal. The studies highlight the environmental benefits of AD-based systems through energy production compensations, particularly in reducing global warming potential, compared with other treatment operations such as landfills. While replacing mineral fertilisers with digestate and compost is very well discussed, it raises concerns about heavy metal content and nutrient availability. Therefore, selective collection of organic waste is crucial to improve compost quality and AD efficiency, though it increases transportation costs.","PeriodicalId":23671,"journal":{"name":"Waste Management & Research","volume":" ","pages":"734242X251326866"},"PeriodicalIF":3.7,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143721596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

引用次数: 0

Evaluation of a specific system of extended producer responsibility for veterinary medicines packaging waste.

IF 3.7 4区环境科学与生态学

Waste Management & Research Pub Date : 2025-03-27 DOI: 10.1177/0734242X251326270

Graça Martinho, Ana Gomes, Pedro Santos, Mário Ramos

{"title":"Evaluation of a specific system of extended producer responsibility for veterinary medicines packaging waste.","authors":"Graça Martinho, Ana Gomes, Pedro Santos, Mário Ramos","doi":"10.1177/0734242X251326270","DOIUrl":"https://doi.org/10.1177/0734242X251326270","url":null,"abstract":"In Portugal, packaging products for veterinary medicines (VM) are subjected to the extended producer responsibility (EPR) scheme coordinated by a Producer Responsibility Organisation (PRO), responsible for the management of both human and VM packaging waste. Despite an 80% recycling target for VM packaging waste, recent years have consistently shown performance below this level. However, there is no compositional data on VM packaging waste in scientific literature, hindering effective problem diagnosis and solution proposals. So, this research proposes a protocol to characterise VM packaging waste entering and leaving a sorting centre and presents the corresponding results. Of the 822.1 kg entering the centre, glass is the predominant material (66.7%, in weight). Often, glass has rubber and metal attached, but this is not recognised as a constraint on recyclability by the glass recycling industry. Biohazardous VM waste was found in the containers dedicated to pharmacologic VM waste, raising a challenge. To evaluate alignment with the principles of circularity, opportunities for waste reduction were assessed but found to be limited by stringent VM regulations. Nevertheless, the potential for recycling could be enhanced through adjustments to the sorting procedures. Moreover, future research should prioritise biohazard risks and operational aspects of recyclability. In addition, discussion and potential reconsideration of recycling rate targets for this waste category are recommended.","PeriodicalId":23671,"journal":{"name":"Waste Management & Research","volume":" ","pages":"734242X251326270"},"PeriodicalIF":3.7,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143732085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

引用次数: 0

Research status, key technologies and development trends of pharmaceutical waste salt treatment technology: A review.

IF 3.7 4区环境科学与生态学

Waste Management & Research Pub Date : 2025-03-25 DOI: 10.1177/0734242X251326271

Xiaoqing Ai, Xiaoyue Zhang, Yi Tian, Mei Lu, Wei Wang

引用次数: 0

Smart waste management and air pollution forecasting: Harnessing Internet of things and fully Elman neural network.

IF 3.7 4区环境科学与生态学

Waste Management & Research Pub Date : 2025-03-20 DOI: 10.1177/0734242X241313286

Bhagyashree Madan, Sruthi Nair, Nikita Katariya, Ankita Mehta, Purva Gogte

{"title":"Smart waste management and air pollution forecasting: Harnessing Internet of things and fully Elman neural network.","authors":"Bhagyashree Madan, Sruthi Nair, Nikita Katariya, Ankita Mehta, Purva Gogte","doi":"10.1177/0734242X241313286","DOIUrl":"https://doi.org/10.1177/0734242X241313286","url":null,"abstract":"As the Internet of things (IoT) continues to transform modern technologies, innovative applications in waste management and air pollution monitoring are becoming critical for sustainable development. In this manuscript, a novel smart waste management (SWM) and air pollution forecasting (APF) system is proposed by leveraging IoT sensors and the fully Elman neural network (FENN) model, termed as SWM-APF-IoT-FENN. The system integrates real-time data from waste and air quality sensors including weight, trash level, odour and carbon monoxide (CO) that are collected from smart bins connected to a Google Cloud Server. Here, the MaxAbsScaler is employed for data normalization, ensuring consistent feature representation. Subsequently, the atmospheric contaminants surrounding the waste receptacles were observed using a FENN model. This model is utilized to predict the atmospheric concentration of CO and categorize the bin status as filled, half-filled and unfilled. Moreover, the weight parameter of the FENN model is tuned using the secretary bird optimization algorithm for better prediction results. The implementation of the proposed methodology is done in Python tool, and the performance metrics are analysed. Experimental results demonstrate significant improvements in performance, achieving 15.65%, 18.45% and 21.09% higher accuracy, 18.14%, 20.14% and 24.01% higher F-Measure, 23.64%, 24.29% and 29.34% higher False Acceptance Rate (FAR), 25.00%, 27.09% and 31.74% higher precision, 20.64%, 22.45% and 28.64% higher sensitivity, 26.04%, 28.65% and 32.74% higher specificity, 9.45%, 7.38% and 4.05% reduced computational time than the conventional approaches such as Elman neural network, recurrent artificial neural network and long short-term memory with gated recurrent unit, respectively. Thus, the proposed method offers a streamlined, efficient framework for real-time waste management and pollution forecasting, addressing critical environmental challenges.","PeriodicalId":23671,"journal":{"name":"Waste Management & Research","volume":" ","pages":"734242X241313286"},"PeriodicalIF":3.7,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143664797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

引用次数: 0

A comparison of bulk inorganic constituents and trace pollutant concentration in leachates by landfill type.

IF 3.7 4区环境科学与生态学

Waste Management & Research Pub Date : 2025-03-12 DOI: 10.1177/0734242X251322146

Dreyton Lott, Roya P Darioosh, Kate Weiksnar, Steven Laux, Timothy G Townsend

{"title":"A comparison of bulk inorganic constituents and trace pollutant concentration in leachates by landfill type.","authors":"Dreyton Lott, Roya P Darioosh, Kate Weiksnar, Steven Laux, Timothy G Townsend","doi":"10.1177/0734242X251322146","DOIUrl":"https://doi.org/10.1177/0734242X251322146","url":null,"abstract":"Landfill leachate characteristics vary depending on the type of waste facilities accept, such as municipal solid waste (MSW), construction and demolition debris (CDD) and MSW incineration (MSWI) ash. Optimizing disposal and treatment practices requires a thorough understanding of the behaviour of leachates from different classifications of refuse. This study provides a critical analysis of variation in leachate quality among over 80 sites based on landfill category: MSW, bulky debris, MSWI ash and MSW-MSWI ash co-disposal. Alkalinity was highest in leachates from facilities accepting MSW (average 2,810 mg L-1), and the average pH from sites disposing of only ash (7.04) was lower than anticipated. As expected, all leachates were observed to have much greater concentrations of chemical oxygen demand compared to biochemical oxygen demand and require advanced secondary treatment to remove this recalcitrant organic matter. Unsurprisingly, leachates from facilities accepting only ash had elevated concentrations of salts (32,400 mg L-1 TDS), and those from MSW disposing sites reported high ammonia-nitrogen (381 mg L-1); co-disposal of MSW with ash resulted in elevated concentrations of both TDS and ammonia-nitrogen (19,400 mg L-1 TDS, 543 mg L-1 NH3-N). Metal concentrations among all leachate types were similar, though arsenic was elevated in landfills accepting only CDD. Trace organic chemicals like benzene were much higher in leachates from sites disposing of unburned residuals compared to those only accepting ash. Variation among landfill types were attributed to leachate flow characteristics, pH, degradation, waste composition and other biogeochemical interactions. The results demonstrate co-disposal practices can potentially require more leachate treatment than separate disposal scenarios.","PeriodicalId":23671,"journal":{"name":"Waste Management & Research","volume":" ","pages":"734242X251322146"},"PeriodicalIF":3.7,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143617255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

引用次数: 0

Food waste minimisation and energy efficiency for carbon emission reduction.

IF 3.7 4区环境科学与生态学

Waste Management & Research Pub Date : 2025-03-12 DOI: 10.1177/0734242X251320876

Made Adi Widyatmika, Nomesh B Bolia

引用次数: 0

A comprehensive review on applications of multi-criteria decision-making methods in healthcare waste management.

IF 3.7 4区环境科学与生态学

Waste Management & Research Pub Date : 2025-03-04 DOI: 10.1177/0734242X251320872

Santonab Chakraborty, Rakesh D Raut, T M Rofin, Shankar Chakraborty

{"title":"A comprehensive review on applications of multi-criteria decision-making methods in healthcare waste management.","authors":"Santonab Chakraborty, Rakesh D Raut, T M Rofin, Shankar Chakraborty","doi":"10.1177/0734242X251320872","DOIUrl":"https://doi.org/10.1177/0734242X251320872","url":null,"abstract":"Effective management of healthcare waste (HCW) imposes a great challenge to all countries. Specially in the developing countries, it is often mixed with municipal waste, adversely affecting the health and safety of the medical personnel, general public and environment. Healthcare waste management (HCWM) basically deals with segregation, collection and storage, routing and transportation, treatment and safe disposal of HCW, while obeying some national legislation. In every stage of HCWM, there are several alternative choices/strategies to be evaluated against a set of conflicting criteria. Numerous multi-criteria decision-making (MCDM) methods have appeared to resolve the issue. This article reviews 101 articles available in Scopus and other scholarly databases on applications of MCDM techniques in solving HCWM problems. Those articles are classified into six groups: (a) selection of the most effective HCW treatment technology, (b) identification of the best HCW disposal site, (c) assessment of the best-performing healthcare unit adopting ideal HCWM strategies, (d) selection of third party logistics providers, (e) identification of HCWM barriers and (f) evaluation of specific HCWM plans. It is observed that the past researchers have mostly preferred to apply MCDM tools for solving HCW treatment technology selection problems, whereas analytic hierarchy process, decision-making trial and evaluation laboratory and best-worst method and fuzzy set theory have been the mostly favoured MCDM tool, criteria weight measurement techniques and uncertainty model, respectively. The outcomes of this article would help the healthcare personnel/policymakers in unveiling the current status of HCWM research, exploring extant research gaps and challenges and providing future directions leading to sustainable environment.","PeriodicalId":23671,"journal":{"name":"Waste Management & Research","volume":" ","pages":"734242X251320872"},"PeriodicalIF":3.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143558128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

引用次数: 0