AI Article Synopsis

  • Global municipal solid waste is projected to reach 3.5 billion tons by 2050, leading to significant environmental issues, particularly in the context of global warming.
  • Greenhouse gas emissions from municipal solid waste management (MSWM) are substantial, necessitating accurate accounting and estimation methods to guide mitigation strategies.
  • Different models exist for estimating emissions from MSWM processes, with landfilling producing the highest emissions; however, estimates can vary widely, and discrepancies exist between default emission factors and real measurements.

Article 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.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11356-024-33042-1DOI Listing

Publication Analysis

Top Keywords

emissions
8
municipal solid
8
solid waste
8
models
5
review evaluation
4
evaluation models
4
models impact
4
impact factors
4
factors greenhouse
4
greenhouse gas
4

Similar Publications

Fatal familial insomnia: A new case description with response to thoracic sympathetic nerve thermocoagulation and stellate ganglion block.

Sleep Med

December 2024

Department of Neurology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan Province, China. Electronic address:

Fatal familial insomnia (FFI) is a rare autosomal dominant neurodegenerative disorder characterized by rapidly progressive dementia, severe sleep disturbances, and autonomic dysfunction. The clinical manifestations of FFI can exhibit substantial variations, making it crucial to rule out other conditions, such as autoimmune encephalitis and Creutzfeldt-Jakob disease, during early diagnosis. In this study, we describe the case of a 58-year-old man who experienced persistent insomnia, autonomic symptoms, gait instability, and rapidly progressive dementia.

View Article and Find Full Text PDF

Preparation of carbon dots (CDs) from biomass waste is of great interest due to its low cost synthesis, environmental compatibility and functionalization without adding dangerous chemicals. Herein, S-doped carbon dot (SCD) was synthesized using agricultural waste as carbon precursors and modified in-situ with rhodamine B dye (SCD@RHB) to construct efficient flouresent probe. SCD@RHB was loaded into HKUST-1 metal-organic framework (SCD@RHB/HKUST-1) and the probe was employed as ratiometric flouresent (RF) sensor for the determination of ciprofloxacin (CIP) antibiotic in trace level.

View Article and Find Full Text PDF

Ciprofloxacin (CIP) is a commonly used antibiotic, but its abuse may cause bacterial resistance, posing a high risk to the environment and human health. Herein, based on the molecular imprinting technology, this study proposed a ratiometric fluorescence sensor employing the "post-doping" strategy, which aims to be rapid, selective, and visually easy-to-use for CIP detection to address antibiotic residues and environmental risks. Specifically, by exploiting the "antenna effect" of lanthanide metal ions (Ln), terbium (III) (Tb) chosen as a fluorescence-assisted functional monomer as well as the red emitting CdTe quantum dots (QDs) as the internal reference signal were introduced into multi-emission Tb-CdTe@SiO@MIPs (TbMIPs).

View Article and Find Full Text PDF

As a serine hydrolase synthesized by the liver, butyrylcholinesterase (BChE) is an important biomarker in the clinical diagnosis of liver diseases. To track BChE activity in drug-induced liver injury, we designed a deep-red BChE-activatable fluorescent probe (CYL-BChE) with hemi-cyanine structure by using a cyclopropyl carbonyl group as a specific recognition moiety. Its near-infrared absorption wavelength (665 nm) and emission wavelength (762 nm) provide excellent tissue penetration capabilities, making it suitable for biological imaging.

View Article and Find Full Text PDF

Source segregation and treatment of urine and faeces from dairy cattle reduces GHG and NH emissions in covered storage.

J Environ Manage

January 2025

Agricultural Biosystems Engineering Group, Department of Plant Sciences, Wageningen University and Research, P.O. Box 16, 6700 AA, Wageningen, the Netherlands.

Managing dairy excreta as slurry can result in significant emissions of ammonia (NH) and greenhouse gases (GHGs) during storage and thereafter. Additionally, slurry often has an imbalanced nitrogen (N) to phosphorus (P) ratio for crop fertilization. While various treatments exist to address emissions and nutrient imbalances, each has trade-offs that can result in pollution swapping.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!