title: Monitoring and modeling of long-term settlements of an experimental landfill in Brazil.
abstract: Settlement evaluation in sanitary landfills is a complex process, due to the waste heterogeneity, time-varying properties and influencing factors and mechanisms, such as mechanical compression due to load application and creep, and physical-chemical and biological processes caused by the wastes decomposition. Many empirical models for the analysis of long-term settlement in landfills are reported in the literature. This paper presents the results of a settlement monitoring program carried out during 6 years in Belo Horizonte experimental landfill. Different sets of field data were used to calibrate three long-term settlement prediction models (rheological, hyperbolic and composite). The parameters obtained in the calibration were used to predict the settlements and to compare with actual field data. During the monitoring period of 6 years, significant vertical strains were observed (of up to 31%) in relation to the initial height of the experimental landfill. The results for the long-term settlement prediction obtained by the hyperbolic and rheological models significantly underestimate the settlements, regardless the period of data used in the calibration. The best fits were obtained with the composite model, except when 1 year field data were used in the calibration. The results of the composite model indicate settlements stabilization at larger times and with larger final settlements when compared to the hyperbolic and rheological models.
authors.affiliation: Department of Transportation Engineering and Geotechnics, Federal University of Minas Gerais, Av. Antonio Carlos, 6627, School of Engineering, 30270-901 Belo Horizonte, Minas Gerais, Brazil. gustavo@etg.ufmg.br
authors.forename: Gustavo Ferreira
authors.initials: GF
authors.lastname: Simões
authors.forename: Cícero Antônio Antunes
authors.initials: CA
authors.lastname: Catapreta
mesh_terms: D001938:Brazil; D003198:Computer Simulation; D004784:Environmental Monitoring / Q000379:methods*; D052918:Environmental Restoration and Remediation; D008962:Models, Theoretical; D012037:Refuse Disposal; D012212:Rheology; D013997:Time Factors