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A review on the evaluation models and impact factors of greenhouse gas emissions from municipal solid waste management processes.

Authors :
Yang, Guodong
Liu, Mengdan
Gao, Yuchen
Han, Siyu
Meng, Fanzhi
Ju, Tongyao
Jiang, Jianguo
Source :
Environmental Science & Pollution Research; Apr2024, Vol. 31 Issue 19, p27531-27553, 23p
Publication Year :
2024

Abstract

The total amount of global municipal solid waste (MSW) will reach 3.5 billion tons by 2050, thereby bringing tremendous environmental pressure, especially global warming. Large amounts of greenhouse gases (GHGs) have been released during MSW management (MSWM). Accounting for GHG emissions is a prerequisite for providing recommendations on appropriate treatment options to mitigate emissions from MSWM systems. There are many methods involved in estimating emissions. This paper summarizes the computing models commonly used in each process of the integrated MSWM system and emphasizes the influence of parameters and other factors. Compared with other disposal methods, landfilling has the highest emissions, commonly estimated using first-order decay (FOD) methods. Emission reduction can be realized through waste to energy (WtE) and resource recovery measures. IPCC is commonly used for calculating direct emissions, while LCA-based models can calculate emissions including upstream and downstream processes, whose results depend on assumptions and system boundaries. The estimation results of models vary greatly and are difficult to compare with each other. Besides, large gaps exist between the default emission factors (EFs) provided by models and those F measured in specific facilities. These findings provide a systematic view for a bettering understanding of MSW emissions as well as the estimating methods and also reveal the key points that need be developed in the future. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09441344
Volume :
31
Issue :
19
Database :
Complementary Index
Journal :
Environmental Science & Pollution Research
Publication Type :
Academic Journal
Accession number :
176999092
Full Text :
https://doi.org/10.1007/s11356-024-33042-1