The long term municipal solid wastes (MSW) management plan of Khulna city has to be focused on the Bangladesh Delta Plan 2100. In most developing countries, conventional system of MSW management approach has been found inadequate due to complex nature of MSW. This study presents a system dynamics (SD) model to predict generation, collection, treatment and landfill capacity of MSW until the year of 2050 to analyze the necessity for MSW management for the coastal city of Khulna, Bangladesh. Simulation results show that MSW generation increases from 168 thousand tons in year 2020 to 1.2 million tons with a per capita generation from 0.117 tons to 0.561 tons by year 2050. The total fund required for collection and landfill capacity also increases, while treatment capacity decreases over time, resulting a piling up of massive amount of uncleared MSW of 10.3 million tons in year 2050 from 152 thousand tons in year 2020. The uncleared and untreated MSW, composite index and public concern increases with time in an exponential nature for the projection period of next thirty years. The population in this model is considered as the only linear growth factor which increases from 1.5 million in year 2020 to 2.24 million by year 2050. The developed SD model also shows that the policy of only to increase collection capacity with the increased allocation of budget is not adequate for improving environmental sustainability, rather an increase of budget is essential for developing MSW treatment facility. In this study, validation methods including behavior sensitivity, data sensitivity and dimensional consistency in extreme condition has been performed to validate the model. The outcome of this SD model can be used as a dynamic testing module for MSW management policy analysis and strategic measures that can be implemented effectively in the context of developing counties.
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http://dx.doi.org/10.1016/j.wasman.2021.04.059 | DOI Listing |
Heliyon
January 2025
Interdisciplinary Research Center for Construction and Building Materials, Research Institute, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia.
Urbanization and population growth in India have quickened, leading to an annual generation of around 62 million tonnes of municipal solid waste (MSW). Improper management of organic waste presents a major environmental problem due to air and water pollution, soil contamination and greenhouse gas production. This research aims to develop refuse-derived fuel (RDF) as a viable option, converting waste into a high-calorific energy carrier for industrial use.
View Article and Find Full Text PDFWaste Manag
January 2025
School of Life Science and Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China. Electronic address:
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.
View Article and Find Full Text PDFWaste Manag
January 2025
Department of Mathematics, University of Padova, Via Trieste, 63, Padova, 35121, Italy; Augmented Intelligence Center, Fondazione Bruno Kessler (FBK), Via Santa Croce, 77, Trento, 38122, Italy; Department of Information Engineering and Computer Science, University of Trento, Via Sommarive, 9, Povo, 38123, Italy.
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.
View Article and Find Full Text PDFMicroorganisms
November 2024
School of Biosciences and Veterinary Medicine, University of Camerino, Via Gentile III Da Varano, 62032 Camerino, MC, Italy.
Urbanization growth has intensified the challenge of managing and treating increasing amounts of municipal solid waste (MSW). Landfills are commonly utilized for MSW disposal because of their low construction and operation costs. However, this practice produces huge volumes of landfill leachate, a highly polluting liquid rich in ammoniacal nitrogen (NH-N), organic compounds, and various heavy metals, making it difficult to treat in conventional municipal wastewater treatment plants (WWTPs).
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran.
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