Material flow analysis as a support tool for multi-criteria analysis in solid waste management decision-making

2018 ◽  
Vol 139 ◽  
pp. 351-365 ◽  
Author(s):  
Luke Makarichi ◽  
Kua-anan Techato ◽  
Warangkana Jutidamrongphan
2020 ◽  
Vol 30 (1) ◽  
Author(s):  
Indika Thushari ◽  
Juckrit Vicheanteab ◽  
Dao Janjaroen

Abstract This study presents solid waste management planning in an urban green area, Bangkok, Thailand based on the material flow analysis (MFA) and life cycle assessment (LCA). Global warming potential (GWP) of four scenarios for handling solid waste generated in Chulalongkorn University Centenary Park, 2018 was assessed concerning the different ratios of waste recycling, composting, incineration, and landfilling. The results show that alternative systems proposed will result in lower GWP than the existing waste management strategy. The MFA results reveal that the final weights of solid waste ending up in a landfill are 98.8, 101.9, 68.2, and 44.8 t yr− 1 for scenarios 1, 2, 3, and 4, respectively. Increased rates of landfill diversion by increased recycling, composting, and incineration decreased the quantity of solid waste disposed to the landfill and improved the environmental profile of the park waste management system. The LCA results found landfilling to be the dominant source of greenhouse gas (GHG) burdens, while waste recycling was found to result in the reduction of GHG. The results highlight that the use of MFA and LCA as a combined tool to evaluate the environmental performance of solid waste management systems provides valuable information for policy and decision-makers.


2022 ◽  
Vol 11 (1) ◽  
pp. e19411124673
Author(s):  
Ana Teresa Rodrigues de Sousa ◽  
Susana Paixão ◽  
Marcos Paulo Gomes Mol

Decisions related to waste management were affected to contain the advance of the new coronavirus pandemic. Different measures have been adopted between countries around the world. This study aims to assess changes in decision-making on solid waste management in Brazil and Portugal during the COVID-19 pandemic, considering the socioeconomic differences and the context of waste management in each country before the health crisis. A literature review was carried out on scientific bases, PubMed, Google Scholar and Web of Science. Differences were noted in decisions and guidelines for good practices in waste management, with measures being observed in a decentralized manner in Brazil, differently from what was observed in Portugal. In this way, the understanding of urban waste management during the COVID-19 pandemic in Brazil becomes complex, in addition to the territorial extension and the diverse social composition, due to the decentralization of decision-making, while Portugal centralizes decisions related to waste management and has a smaller population and territorial extension.


2016 ◽  
Vol 35 (1) ◽  
pp. 120-125 ◽  
Author(s):  
Leticia Sarmento dos Muchangos ◽  
Akihiro Tokai ◽  
Atsuko Hanashima

Material flow analysis can effectively trace and quantify the flows and stocks of materials such as solid wastes in urban environments. However, the integrity of material flow analysis results is compromised by data uncertainties, an occurrence that is particularly acute in low-and-middle-income study contexts. This article investigates the uncertainties in the input data and their effects in a material flow analysis study of municipal solid waste management in Maputo City, the capital of Mozambique. The analysis is based on data collected in 2007 and 2014. Initially, the uncertainties and their ranges were identified by the data classification model of Hedbrant and Sörme, followed by the application of sensitivity analysis. The average lower and upper bounds were 29% and 71%, respectively, in 2007, increasing to 41% and 96%, respectively, in 2014. This indicates higher data quality in 2007 than in 2014. Results also show that not only data are partially missing from the established flows such as waste generation to final disposal, but also that they are limited and inconsistent in emerging flows and processes such as waste generation to material recovery (hence the wider variation in the 2014 parameters). The sensitivity analysis further clarified the most influencing parameter and the degree of influence of each parameter on the waste flows and the interrelations among the parameters. The findings highlight the need for an integrated municipal solid waste management approach to avoid transferring or worsening the negative impacts among the parameters and flows.


2021 ◽  
pp. 0734242X2110004 ◽  
Author(s):  
Shiza Aslam ◽  
Faizan Ali ◽  
Amna Naseer ◽  
Zeshan Sheikh

This article assesses the status of the solid waste management system (SWMS) in Karachi, the largest city of Pakistan, using the material flow analysis approach, a widely applied method in waste management (WM) studies. It involves a systematic assessment of the material flows of solid waste under the current WM system. A material flow diagram is developed to visualize the input and output waste flows. This study shows the quantification and identification of municipal solid waste (MSW) flow for the year 2019, from the point of generation to the end-use and disposal. Results show that the MSW generation increased from 10,435 to 15,600 metric tonnes per day (TPD) between 2017 to 2019. Approximately, 75% of the waste generated is collected: formally (50%); and informally (25%). The material recovery is low, accounting for only 26.28% of the total waste. There is no official material recovery and recycling facility. Therefore, material recovery solely depends on the informal sector. Results show that 70% of the daily waste ends up in landfills, which is 3120 TPD more than the formally collected waste. This estimated waste of 3120 TPD flows in either due to disposal activities of the backlogged waste or informally collected waste. Overall, Karachi’s SWMS performs poorly with a significant need for improvement. This study recommends adopting integrated WM approaches and inclusion of the informal sector to ensure the affordability and sustainability of the WM system.


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