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 ,
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.