Waste management最新文献

Evaluating drivers of PM_2.5 air pollution at urban scales using interpretable machine learning.

IF 7.1 2区环境科学与生态学

Waste management Pub Date : 2025-01-15 Epub Date: 2024-12-01 DOI: 10.1016/j.wasman.2024.11.025

Yali Hou, Qunwei Wang, Tao Tan

{"title":"Evaluating drivers of PM2.5 air pollution at urban scales using interpretable machine learning.","authors":"Yali Hou, Qunwei Wang, Tao Tan","doi":"10.1016/j.wasman.2024.11.025","DOIUrl":"10.1016/j.wasman.2024.11.025","url":null,"abstract":"Reducing urban fine particulate matter (PM2.5) concentrations is essential for China to achieve the Sustainable Development Goals (SDGs). Identifying the key drivers of PM2.5 will enable the development of targeted strategies to reduce PM2.5 levels. This study introduces a machine-learning model that combines CatBoost and the Tree-Structured Parzen Estimator (TPE) to analyze PM2.5 concentration across 297 cities between 2000 and 2021. SHapley Additive exPlanations (SHAP) were employed to identify the primary factors influencing urban PM2.5 concentrations. The study revealed that the proposed model has high accuracy in predicting urban PM2.5 concentrations, achieving a coefficient of determination (R2) score of 96.44%. Socioeconomic and industrial activity are key drivers of PM2.5 concentrations. This study not only quantifies the primary factors exacerbating or alleviating pollution for each city or province during the 2000-2021 period but also evaluates the influence of operational factors such as technological and public financial expenditures. In 2000, the main contributors to pollution in four heavily polluted cities included substantial nitrogen oxide emissions, inadequate technology investments, and excessive population density and liquefied gas consumption. Due to the rapid reduction in nitrogen oxide emissions, pollution levels in these cities have improved substantially. In the future, the most effective strategies for pollution reduction in these cities will focus on controlling population density and slowing down mining development. The proposed framework serves as a robust evaluation tool and can propose tailored strategies to control PM2.5 concentrations effectively in each city.","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"192 ","pages":"114-124"},"PeriodicalIF":7.1,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142772820","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}

引用次数: 0

Carbon filter layer for respirator derived from acrylic filter felt.

IF 7.1 2区环境科学与生态学

Waste management Pub Date : 2025-01-09 DOI: 10.1016/j.wasman.2025.01.005

Yuanfeng Wang, Mohanapriya Venkataraman, Dana Křemenáková, Jakub Hrůza, Jiří Militký

{"title":"Carbon filter layer for respirator derived from acrylic filter felt.","authors":"Yuanfeng Wang, Mohanapriya Venkataraman, Dana Křemenáková, Jakub Hrůza, Jiří Militký","doi":"10.1016/j.wasman.2025.01.005","DOIUrl":"https://doi.org/10.1016/j.wasman.2025.01.005","url":null,"abstract":"Pyrolysis emerges as a strategy for handling waste textiles, wherein the conversion of high-carbon-content textile waste into carbonaceous materials facilitates the restoration of its economic value, concurrently mitigating the environmental impact posed by textile waste. The present study fabricated carbon felts for respiratory filter layers through single-step pyrolysis of acrylic filter felts. The advantage of employing conductive carbon felt as a respiratory filter layer is its capability to concurrently serve two functions: filtration and electrical heating for high-temperature disinfection. In order to achieve these two functions, both the respirator body and the embedded electrodes were designed to ensure the reliability of high-temperature disinfection. The breathability and water vapor permeability of the obtained carbon felt were examined to confirm its comfortability as a respiratory filter layer. The results of filtration efficiency and antimicrobial testing indicated that the carbon felt exhibited a filtration efficiency of over 90 % against inhalable particulate matter, while its antimicrobial properties effectively suppressed microbial growth. This method of reutilizing waste textiles maintained consistency in the usage of textiles before and after reuse, simplified the reusing process of waste acrylic fibers, and simultaneously reduced the manufacturing costs of respiratory filters. The designed respiratory filters have the potential for application in settings such as hospitals and virus research institutions.","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"194 ","pages":"115-124"},"PeriodicalIF":7.1,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142967089","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}

引用次数: 0

Deciphering the driving mechanism of microbial community for rapid stabilization and lignocellulose degradation during waste semi-aerobic bioreactor landfilling with multifunctional microbial inoculum.

IF 7.1 2区环境科学与生态学

Waste management Pub Date : 2025-01-08 DOI: 10.1016/j.wasman.2025.01.007

Minghui Wu, Yiqian Tao, Qilu Zeng, Zhengyong Pan, Han Zhang, Zhiyan Yin, Wenjian Li, Yanxin Liu, Xing Li, Zhongping Qiu

{"title":"Deciphering the driving mechanism of microbial community for rapid stabilization and lignocellulose degradation during waste semi-aerobic bioreactor landfilling with multifunctional microbial inoculum.","authors":"Minghui Wu, Yiqian Tao, Qilu Zeng, Zhengyong Pan, Han Zhang, Zhiyan Yin, Wenjian Li, Yanxin Liu, Xing Li, Zhongping Qiu","doi":"10.1016/j.wasman.2025.01.007","DOIUrl":"https://doi.org/10.1016/j.wasman.2025.01.007","url":null,"abstract":"Owing to the massive refractory lignocellulose and leachate-organic loads, the stabilization of municipal solid waste (MSW) landfill is often prolonged, resulting in environmental burdens. Herein, various assembled multifunctional microbial inoculums (MMIs) were introduced into the semi-aerobic bioreactor landfill (SABL) to investigate the bioaugmentation impacts. Compared to control (CK) and other MMIs treatments (G1-G3), LD + LT + DM inoculation (G4) significantly increased volatile solids degradation (9.72-45.03 %), while reducing chemical oxygen demand (COD) content (10.34-51.85 %) and ammonia nitrogen concentration (80.71-90.95 %) in the leachate. G4 also exhibited significantly higher degradation of cellulose and hemicellulose, achieving 0.99 and 1.94 times higher efficiency than CK, respectively. Microbial analysis revealed that LD + LT + DM reshaped microbial communities composition of SABL, with most of the introduced microorganisms (Enterobacter, Sphingobacterium, Streptomyces, etc.) successfully colonizing, and stimulating indigenous functional microbes associated with organic matter decomposition. Additionally, microbial interactions were strengthened in G4, accompanied by the higher abundance of 11 biomarkers and enzymes involved in lignocellulose degradation and ammonia nitrogen conversion. Overall, LD + LT + DM maximized MMI function by reconstructing synergistic core microbes. These findings highlight the superiority of LD + LT + DM in simultaneously regulating the microbial composition of lignocellulose-rich waste landfills, expediting MSW decomposition, improving leachate treatment, and mitigating odor emissions, offering valuable insights for efficient MSW management.","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"194 ","pages":"88-103"},"PeriodicalIF":7.1,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142955993","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}

引用次数: 0

How to encourage well-being with reminders interventions: A field experiment on food waste separation and composting behaviors.

IF 7.1 2区环境科学与生态学

Waste management Pub Date : 2025-01-08 DOI: 10.1016/j.wasman.2025.01.002

Zhu Mao, Buxin Han, Chuanbin Zhou, Pingping Liu

{"title":"How to encourage well-being with reminders interventions: A field experiment on food waste separation and composting behaviors.","authors":"Zhu Mao, Buxin Han, Chuanbin Zhou, Pingping Liu","doi":"10.1016/j.wasman.2025.01.002","DOIUrl":"https://doi.org/10.1016/j.wasman.2025.01.002","url":null,"abstract":"Although well-being is a fundamental human goal, few studies have clarified the causal relationship between well-being and waste separation, which strongly affects sustainable development. We propose that, assuming humans' innate affinity for nature (the biophilia theory), waste separation would be conducive to a sense of life meaning and well-being. To test this hypothesis, we systematically investigate how food waste separation and composting behaviors affect subjective well-being and meaning in life in a longitudinal field experiment. 226 valid residents were randomized into intervention (n = 113) or control (n = 113) groups. The participants in the intervention group were provided informational reminders (please separate food waste) for 9 weeks, and were asked to record their food waste separation and composting behaviors. We find that community residents who performed food waste separation and composting behaviors (intervention group) had a higher meaning in life and subjective well-being than those who did not (control group). Meanwhile, food waste separation and composting behaviors can promote subjective well-being through the sequential mediation effects of nature connectedness and meaning in life, validating the biophilia theory. These findings not only provide compelling evidence for how waste separation behaviors can promote well-being but also generate important implications for policy-makers and the understanding of pro-environmental behaviors.","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"194 ","pages":"104-114"},"PeriodicalIF":7.1,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142955995","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}

引用次数: 0

Machine learning-based automated waste sorting in the construction industry: A comparative competitiveness case study.

IF 7.1 2区环境科学与生态学

Waste management Pub Date : 2025-01-08 DOI: 10.1016/j.wasman.2025.01.008

Zeinab Farshadfar, Siavash H Khajavi, Tomasz Mucha, Kari Tanskanen

{"title":"Machine learning-based automated waste sorting in the construction industry: A comparative competitiveness case study.","authors":"Zeinab Farshadfar, Siavash H Khajavi, Tomasz Mucha, Kari Tanskanen","doi":"10.1016/j.wasman.2025.01.008","DOIUrl":"https://doi.org/10.1016/j.wasman.2025.01.008","url":null,"abstract":"This article presents a comparative analysis of the circularity and cost-efficiency of two distinct construction material recycling processes: ML-based automated sorting (MLAS) and conventional sorting technologies. Empirical data was collected from two Finnish companies, providing a robust foundation for this comparison. Our study examines the operational specifics, economic implications, and environmental impacts of each method, highlighting the advantages and drawbacks. By leveraging data-driven insights, we aim to illustrate how MLAS can enhance recycling efficiency and sustainability compared to traditional methods. In our cost modeling over a seven-year period, MLAS achieved a cumulative cost of €12.76 million, significantly lower than CS, which incurred €21.47 million, underscoring the long-term cost efficiency of MLAS. The findings underscore the potential for advanced AI technologies to revolutionize waste management practices, offering significant improvements in sorting accuracy, material recovery rates, and overall cost-effectiveness. This analysis provides valuable perspectives for stakeholders in the construction and waste management industries, emphasizing the importance of integrating innovative technologies to achieve higher circularity and sustainability goals.","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"194 ","pages":"77-87"},"PeriodicalIF":7.1,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142955996","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}

引用次数: 0

Insights on the social and economic factors of the circular economy: A study of the Italian industrial and urban waste recycling sector.

IF 7.1 2区环境科学与生态学

Waste management Pub Date : 2025-01-08 DOI: 10.1016/j.wasman.2024.12.041

Luca Correani, Patrizio Morganti, Ilaria Benedetti, Federico Crescenzi

{"title":"Insights on the social and economic factors of the circular economy: A study of the Italian industrial and urban waste recycling sector.","authors":"Luca Correani, Patrizio Morganti, Ilaria Benedetti, Federico Crescenzi","doi":"10.1016/j.wasman.2024.12.041","DOIUrl":"https://doi.org/10.1016/j.wasman.2024.12.041","url":null,"abstract":"In order to achieve the ambitious goals of the European Union (EU) Green Deal, Member States must implement an efficient and modern recycling industry that can combine high environmental standards with high economic performance. According to Eurostat, the amount of waste recovered, both industrial and urban, increased by 33.9% from 2004 to 2020, and the share of recovery in total waste treatment rose, respectively, from 45.9% to 59.1%. Among the EU countries, Italy exhibits the highest waste recycling rate (83.2% in 2020). This paper empirically investigates the economic, institutional, and social aspects that may be correlated to the performance of firms involved in industrial and urban waste recycling. Better performing firms would definitely provide larger benefits to the recycling industry, since turning waste into resources is crucial for the transition to a cleaner, climate neutral and circular economy. Working on a panel dataset of 3715 Italian companies, it emerges that firms performance is positively influenced by several firm-specific factors, such as age of experience, size, degree of specialization and digitalization, and by territorial factors, such as separate collection rate, regional GDP, and regional political ideology.","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"193 ","pages":"571-580"},"PeriodicalIF":7.1,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142955780","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}

引用次数: 0

Comparing sewage sludge vs. digested sludge for starting-up thermophilic two-stage anaerobic digesters: Operational and economic insights.

IF 7.1 2区环境科学与生态学

Waste management Pub Date : 2025-01-07 DOI: 10.1016/j.wasman.2024.12.032

Amal Hmaissia, Edgar Martín Hernández, Céline Vaneeckhaute

{"title":"Comparing sewage sludge vs. digested sludge for starting-up thermophilic two-stage anaerobic digesters: Operational and economic insights.","authors":"Amal Hmaissia, Edgar Martín Hernández, Céline Vaneeckhaute","doi":"10.1016/j.wasman.2024.12.032","DOIUrl":"https://doi.org/10.1016/j.wasman.2024.12.032","url":null,"abstract":"Despite advances in anaerobic digestion (AD), full-scale implementation faces significant challenges, particularly during the start-up phase, where inoculum selection is crucial. This study examines the impact of inoculum choice on the operational and economic performance of thermophilic digesters during the start-up phase. Methanogenic reactors R3 and R4 were inoculated with digested sludge (DiS) and diluted sewage sludge (DSS), respectively, and fed with hydrolyzed source-sorted organic fraction of municipal solid waste (SS-OFMSW) and thickened sewage sludge, which were processed in R1 and R2, serving as acidogenic reactors. A two-stage AD configuration was employed to mitigate inhibitory effects associated with the undigested inoculum (DSS). This approach enabled the establishment of methanogenic activity in R4 when the AD system is initiated with DSS. However, R3 outperformed R4, achieving 49 % of the feedstock's theoretical methane potential compared to 15 % in R4. Methane production and volatile solids (VS) processing costs in R4 were 18 and 3 times higher than in R3, respectively. R3's superior performance was attributed to DiS's diverse bacterial community, with over 66 % of genera involved in hydrolysis, volatile fatty acid production, and syntrophic methane production. In contrast, DSS was dominated by Trichococcus and Lactococcus (75.4 %), primarily involved in butyrate oxidation and lactate production. This study provides valuable insights into effective inoculum selection for the start-up of full-scale digesters.","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"194 ","pages":"24-35"},"PeriodicalIF":7.1,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142955992","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}

引用次数: 0

Automated gradation design of natural waste gravel soil stabilized by composite soil stabilizer based on a novel DNNSS-APDM-PFC model.

IF 7.1 2区环境科学与生态学

Waste management Pub Date : 2025-01-07 DOI: 10.1016/j.wasman.2024.12.046

Yulong Zhao, Ke Zhang, Fei Dong, Yaofei Luo, Song Liu

{"title":"Automated gradation design of natural waste gravel soil stabilized by composite soil stabilizer based on a novel DNNSS-APDM-PFC model.","authors":"Yulong Zhao, Ke Zhang, Fei Dong, Yaofei Luo, Song Liu","doi":"10.1016/j.wasman.2024.12.046","DOIUrl":"https://doi.org/10.1016/j.wasman.2024.12.046","url":null,"abstract":"The utilization of natural waste gravel soil as base course material contributes to environmental protection and carbon emission reduction. The purpose of this research is to establish a new model for automated gradation design of the composite soil stabilizer-stabilized waste gravel soil (CSSWGS). A gradation range of CSSWGS has been proposed. The bearing capacity of the waste gravel soils was analyzed using the Particle Flow Code (PFC). The pavement structure performances of CSSWGS with different gradations were also evaluated using the asphalt pavement design method in China (APDM). A critical scientific challenge is to provide foundational predictive data for the gradation design. To address this, a deep learning neural network for small sample (DNNSS) was constructed to predict unconfined compressive strength (UCS) and frost resistance, offering analytical data for both of the aforementioned software. The Adaptive Moment Estimation (Adam) algorithm was employed to dynamically adjust the learning rate, thereby accelerating network; the Dropout function was used to alleviate overfitting; and the Rectified Linear Unit (ReLU) function was used as the activation function to solve the gradient vanishing problem. The results show that the DNNSS algorithm exhibits superior prediction performance compared to other deep learning algorithms. When employing the web version of APDM and the virtual California Bearing Ratio (CBR) test, the analysis results based on the predicted values from DNNSS and measured values were found to be consistent or closely aligned. Consequently, the new DNNSS-APDM-PFC model, leveraging the intelligent algorithm developed in this study, can be effectively utilized for designing the gradations of CSSWGS or analyzing the gradation performances of CSSWGS obtained from field applications.","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"194 ","pages":"64-76"},"PeriodicalIF":7.1,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142955991","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}

引用次数: 0

PbSO₄ reaction mechanism in oxygen and reduction atmospheres during co-smelting process with primary lead material.

IF 7.1 2区环境科学与生态学

Waste management Pub Date : 2025-01-07 DOI: 10.1016/j.wasman.2025.01.001

Yunyan Wang, Maixin Yu, Yu Liu, Xiaobo Min, Zelong Huang, Cong Peng, Yong Ke, Pingsheng Zeng, Xingwu Lu, Yun Li

{"title":"PbSO4 reaction mechanism in oxygen and reduction atmospheres during co-smelting process with primary lead material.","authors":"Yunyan Wang, Maixin Yu, Yu Liu, Xiaobo Min, Zelong Huang, Cong Peng, Yong Ke, Pingsheng Zeng, Xingwu Lu, Yun Li","doi":"10.1016/j.wasman.2025.01.001","DOIUrl":"https://doi.org/10.1016/j.wasman.2025.01.001","url":null,"abstract":"At present, lead-containing wastes have increasingly become the raw materials together with primary lead concentrate for lead production to meet the ever-increasing lead demand market. PbSO4 is the dominant component in the lead-containing wastes, nevertheless, its reaction behavior during lead smelting is not sufficiently investigated. This study investigated PbSO4 decomposition behaviors and phase transformation mechanisms at oxidizing and reductive atmospheres and various gas flow rates. The investigations reveal that increasing the temperature and decreasing the oxygen partial pressure of the decomposition atmosphere can accelerate PbSO4 decomposition degree. PbSO4 decomposition intensity under different atmospheres follows the order of reducing atmosphere > inert atmosphere > oxidizing atmosphere. PbSO4 decomposition path was identified: at a non-reductive atmosphere, the decomposition of PbSO4 belongs to a multi-step decomposition process, PbSO4 gradually decompose into xPbO·PbSO4 (x = 1, 2, 4 in turn) and finally PbO. At a reductive atmosphere, the multi-step decomposition process was accelerated significantly, at the same time, the reduction decomposition path PbSO4 → PbS was increasingly dominant with the extension of decomposition time. PbS and Pb were generated successively. Therefore, a suitable reducing atmosphere is suggested to co-smelt PbSO4-bearing wastes in primary lead smelting furnace.","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"194 ","pages":"45-54"},"PeriodicalIF":7.1,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142955997","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}

引用次数: 0

Enhancing door-to-door waste collection forecasting through ML.

IF 7.1 2区环境科学与生态学

Waste management Pub Date : 2025-01-07 DOI: 10.1016/j.wasman.2024.12.044

Luca Pasa, Giuseppe Angelini, Michele Ballarin, Pierluigi Fedrizzi, Alessandro Sperduti

{"title":"Enhancing door-to-door waste collection forecasting through ML.","authors":"Luca Pasa, Giuseppe Angelini, Michele Ballarin, Pierluigi Fedrizzi, Alessandro Sperduti","doi":"10.1016/j.wasman.2024.12.044","DOIUrl":"https://doi.org/10.1016/j.wasman.2024.12.044","url":null,"abstract":"We explore the application of machine learning (ML) techniques to forecast door-to-door waste collection, addressing the challenges in municipal solid waste (MSW) management. ML models offer a promising solution to optimize waste collection operations, especially amid growing urban populations and evolving waste generation rates. Leveraging comprehensive data from a northeastern Italian municipality, including various waste types, our study investigates ML algorithms' efficacy in predicting household waste collection requirements. We examine two key tasks: predicting daily waste exposure likelihood and forecasting fulfilled pickups over monthly and weekly periods. Both tasks are developed at the user level, forecasting user behavior based on features that describe the user. We split the data based on its temporal distribution and evaluated the models by forecasting user behavior in a future period, using the data from earlier periods to train the models. This study addresses a novel and challenging scenario, as, to the best of our knowledge, no prior work has specifically focused on door-to-door waste management using machine learning techniques. Results highlight ML models' potential in enhancing waste collection efficiency, aiding route planning, resource allocation, and environmental sustainability in urban areas. Additionally, our findings underscore the importance of tailoring strategies to waste categories and pickup frequencies for optimal performance.","PeriodicalId":23969,"journal":{"name":"Waste management","volume":"194 ","pages":"36-44"},"PeriodicalIF":7.1,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142955994","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}

引用次数: 0