Literature DB >> 22289482

Evolution of unsaturated hydraulic properties of municipal solid waste with landfill depth and age.

Huayong Wu1, Hongtao Wang, Yan Zhao, Tan Chen, Wenjing Lu.   

Abstract

Successful modeling of liquid and air flow and hence designing of liquid and air addition systems in the landfills are constrained by the lack of key parameters of unsaturated hydraulic properties of municipal solid waste (MSW), which are strongly dependent on the depth of burial and the degree of decomposition. In this study, water retention curves (WRC) of MSW are measured using pressure plate method on samples repacked according to the in situ unit weight measured during borehole sampling, representing the MSW in shallow, middle, and deep layers. The measured WRC of MSW is well-reproduced by the van Genuchten-Mualem model, and is used to predict the unsaturated hydraulic properties of MSW, including water retention characteristics and unsaturated hydraulic conductivity. The estimated model parameters are consistent with other studies, suggesting that the pressure plate method yields reproducible results. As the landfill depth and age increase, the overburden pressure, the highly decomposed organic matter and finer pore space increase, hence the capillary pressure increases, causing increases in air-entry values, field capacity and residual water content, and decreases in steepness of WRC and saturated water content. The unsaturated hydraulic properties of MSW undergo changes with landfill depth and age, showing more silt loam-like properties as the landfill age increases.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22289482     DOI: 10.1016/j.wasman.2011.10.029

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  1 in total

1.  The use of electrical resistivity tomography and borehole to characterize leachate distribution in Laogang landfill, China.

Authors:  Shi-Jin Feng; Zhen-Bai Bai; Ben-Yi Cao; Shi-Feng Lu; Shu-Gang Ai
Journal:  Environ Sci Pollut Res Int       Date:  2017-08-09       Impact factor: 4.223

  1 in total

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