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Compressibility characteristics of municipal solid waste considering multiple factors
Yangfan Lou1, Zhenying Zhang2,3, Tuo Li1
1School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
Summary
Landfill age and composition significantly impact municipal solid waste (MSW) compressibility. A predictive model for MSW compression index (Cc’) was developed, aiding landfill design.
Area of Science:
- Geotechnical Engineering
- Environmental Engineering
- Waste Management
Background:
- Municipal solid waste (MSW) landfills present complex geotechnical challenges.
- Understanding MSW compressibility is crucial for landfill stability and expansion design.
Purpose of the Study:
- To investigate the influence of key factors on MSW compressibility.
- To develop a predictive model for the modified primary compression index (Cc').
Main Methods:
- Collection and testing of MSW borehole samples.
- Geotechnical and compression tests were performed.
- Statistical analysis of compressibility data.
Main Results:
- Increasing landfill age correlates with decreased compressible components and organic content, and increased dry unit weight.
- Modified primary compression index (Cc') increases with compressible components, moisture, and organic content, but decreases with dry unit weight and landfill age.
- A predictive model for Cc' achieved a fitting coefficient of 0.797.
Conclusions:
- Landfill age, composition, and physical properties significantly influence MSW compressibility.
- The developed model provides a valuable tool for predicting MSW compression behavior.
- Findings support informed decisions for the vertical expansion of existing landfills.
Keywords:
Compression testDry unit weightLandfill ageModified primary compression index prediction modelMoisture contentMunicipal solid wasteMore Related Videos
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