4.7 Article

Unsaturated flow parameters of municipal solid waste

Journal

WASTE MANAGEMENT
Volume 63, Issue -, Pages 107-121

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.wasman.2017.01.025

Keywords

MSW; Unsaturated properties; Porosity; Waste composition; Particle size distribution

Funding

  1. National Natural Science Foundation of China [41572265, 41661130153]
  2. Program for New Century Excellent Talents in University [NCET-13-0421]
  3. National Program for Support of Top-Notch Young Professionals
  4. Newton Advanced Fellowship of the Royal Society [NA150466]

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Leachate pollution/recirculation and landfill gas emission are the major environmental concerns in municipal solid waste (MSW) landfills. A good understanding and prediction of MSW unsaturated properties are critical for the design of piping systems and the control of these problems within landfills. This paper reviews the recent studies of unsaturated properties of MSW, including experimental methods, theoretical models and corresponding model parameters. For experimental methods, the sample size is a common and significant limitation and large test apparatuses (e.g., >80 cm in diameter) are generally required and valuable. The theoretical models for MSW also have some limitations due to the changes in waste composition and particle size distribution caused by biodegradation. Thus, the available data of intrinsic permeabilities, water retention curves, relative permeabilities and anisotropy of MSW were summarized to investigate the influences of porosity, waste composition and particle size distribution. A series of estimation methods were subsequently proposed to determine the parameters of water retention curve like Lm, OLrt nv and a. The other parameters such as the pore connectivity term (1) and the degree of anisotropy (k) were significantly lacking data, thus only their relationships with porosity were proposed. The results show that it is possible to define the second order effects caused by variations in porosity, waste composition and particle size distribution. However, the estimation methods still need more experimental data for improvement, especially their dependence on waste composition and particle size distribution. (C) 2017 Elsevier Ltd. All rights reserved.

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