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Unsaturated flow parameters of municipal solid waste
Shi-Jin Feng1, Qi-Teng Zheng2, H X Chen1
1Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
Understanding unsaturated properties of municipal solid waste (MSW) is key for landfill management. This review highlights experimental and theoretical challenges, proposing estimation methods for key parameters while noting the need for more data.
Area of Science:
- Geotechnical Engineering
- Environmental Engineering
- Waste Management
Background:
- Municipal solid waste (MSW) landfills present environmental challenges like leachate pollution and gas emissions.
- Accurate prediction of MSW unsaturated properties is vital for landfill design and environmental control.
Purpose of the Study:
- To review recent studies on the unsaturated properties of MSW.
- To identify limitations in experimental methods and theoretical models.
- To propose estimation methods for key unsaturated property parameters.
Main Methods:
- Literature review of experimental studies and theoretical models for MSW unsaturated properties.
- Summarization of available data on intrinsic permeabilities, water retention curves, relative permeabilities, and anisotropy.
- Development of estimation methods for water retention curve parameters (θLm, θLr, nv, α) and proposed relationships for pore connectivity (l) and anisotropy (k) with porosity.
Main Results:
- Experimental methods face limitations in sample size, requiring large test apparatuses.
- Theoretical models are constrained by changes in waste composition and particle size due to biodegradation.
- Proposed estimation methods can define effects of porosity, waste composition, and particle size distribution on unsaturated properties.
Conclusions:
- The study provides a summary of MSW unsaturated properties and proposes new estimation methods.
- Further experimental data is required to improve the accuracy and applicability of these estimation methods, particularly concerning waste composition and particle size distribution.
- Addressing these data gaps will enhance the design and management of MSW landfills.
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