• Title of article

    Prediction of MSW Long-term Settlement Induced by Mechanical and Decomposition-Based Compressions

  • Author/Authors

    Park، H I نويسنده R & D Team, Technology Division, Samsung Corporation, 4th Fl., Seohyun Bldg., 270-1 Seohyun-Dong Bundang-Gu, Sungnam-Si, Gyonggi-Do, Korea , , Park، B نويسنده Department of Technology, Illinois State University, 210G Turneer Hall, Campus Box 5100, Normal, IL, USA 61790-5100 ,

  • Issue Information
    فصلنامه با شماره پیاپی سال 2009
  • Pages
    14
  • From page
    335
  • To page
    348
  • Abstract
    Long-term settlement of MSW landfills is a complex process, which is explained by the following two mechanisms: (1) the mechanical long-term compression of degradable organic solids (DOS) and un-degradable organic solids (UDOS); and (2) the decomposition-based compression of the DOS. Based on these two distinct settlement mechanisms, in this study, the authors propose a new estimation model to predict the long-term settlement of a MSW landfill. An optimization process using a real-coded genetic algorithm (GA) is performed to evaluate the parameters of the proposed estimation model, based on the settlement data measured at the Mountain View Landfill located near San Jose, California, USA. In comparison with the existing settlement models, the model predicts settlement very close to the measured data and closely conformed to the Grisolia and Napoleoni’s long-term settlement curve. Unlike the existing models, it is the only model that can produce estimation for both long-term and short-term settlement reliably and consistently.
  • Journal title
    International Journal of Environmental Research(IJER)
  • Serial Year
    2009
  • Journal title
    International Journal of Environmental Research(IJER)
  • Record number

    1813846