Parameter Evaluation and Performance Comparison of MSW Settlement Prediction Models in Various Landfill Types

Park, Hyun I.; Park, Borinara; Lee, Seung R.; Hwang, Daejin

doi:10.1061/(asce)0733-9372(2007)133:1(64)

Cited by 17 publications

(5 citation statements)

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“…The third scenario aims for a separation rate of 80% in a treatment plant, and the fourth scenario combines both measures. While literature uses the future value of money formula [32], genetic algorithm [33], and life cycle inventory [34], this work uses system dynamics to incorporate more variables into Because leachate is one of the primary products of landfills [35], this variable was introduced into the system model. The Flow 31, located in Fig.…”

Section: Resultsmentioning

confidence: 99%

Application of system dynamics to evaluate reduction targets for the entry of solid waste into a landfill site

Ibargüen Rodríguez,

Flores Cuautle

2024

Discov Environ

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The waste produced around the world increases daily due to population increase and the fact that life expectancy is longer. Waste production is higher in urban environments; therefore, managing Urban Solid Waste must be more rigorous to avoid environmental problems and health effects. For this reason, standards are created to properly manage landfills so that each life cycle stage is managed responsibly. However, a solid commitment from the community and more management regulations from the government are needed to be focused on reducing, reusing, and recycling materials as much as possible. This commitment needs to be reinforced to the extent that regulatory policies are created at the household level as much as education and awareness programs are implemented. This study presents a method to evaluate how imposing waste management goals before they reach landfills can increase the lifetime of landfills and, consequently the suitableness of a treatment plant implementation.

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Section: Resultsmentioning

confidence: 99%

Application of system dynamics to evaluate reduction targets for the entry of solid waste into a landfill site

Ibargüen Rodríguez,

Flores Cuautle

2024

Discov Environ

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“…where α and β are fitting parameters corresponding to settlement rate coefficients and t c is the elapsed time for construction corresponding to duration of MSW filling (Ling et al 1998;El-Fadel and Khoury 2000;Park et al 2007). A limitation for using this model is t ≤ t c + 10 (-α/β) , which…”

Section: Empirical Modelsmentioning

confidence: 99%

“…If the settlement rate is negative, expansion is predicted, which will not occur under constant vertical stress. The fitting parameter α is positive whereas β is negative to satisfy a linearly decreasing settlement rate with logarithm of time (Ling et al 1998;Park et al 2007). …”

Section: Empirical Modelsmentioning

confidence: 99%

“…Tan et al (1991) present a hyperbolic function for representing MSW settlement that has been applied to cases such as settlement of an embankment on soft-ground where geomaterial properties are difficult or impossible to determine (Tan et al 1991;Ling et al 1998;El-Fadel and Khoury 2000;Park et al 2007). Time-dependent MSW settlement is computed with the following hyperbolic equation:…”

Section: Empirical Modelsmentioning

confidence: 99%

“…The power creep law is a relationship for time-dependent deformation under constant stress represented by transient creep behavior (Edil et al 1990;Ling et al 1998;Park et al 2007). Total time-dependent MSW settlement is computed as…”

Section: Empirical Modelsmentioning

confidence: 99%

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Assessment of municipal solid waste settlement models based on field-scale data analysis

Bareither

Kwak²

2015

Waste Management

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ASSESSMENT OF MUNICIPAL SOLID WASTE SETTLEMENT MODELS BASED ON FIELD-SCALE DATA ANALYSISAn evaluation of municipal solid waste (MSW) settlement model performance and applicability was conducted based on analysis of two field-scale datasets: (1) Yolo and (2) Deer Track Bioreactor Experiment (DTBE). Yolo data were used to assess a multi-layer immediate settlement analysis and model applicability to represent compression behavior in conventional and bioreactor landfills. The DTBE included four waste layers constituting a composite waste thickness. Settlement data for each waste layer were simulated to assess variation in model parameters, and a composite waste settlement prediction was completed via applying average DTBE model parameters to each waste layer and summing settlement to represent measured settlement at the top of the waste column.The multi-layer immediate settlement analysis developed for Yolo provides a framework to estimate the initial waste thickness and waste thickness at end-of-immediate compression.An empirical estimate of the immediate compression ratio (C c ' = 0.23) combined with precompression stress (10 to 15 kPa) and recompression ratio = 1/10•C c ' yielded the target immediate settlement for the Yolo test cells. A precompression stress and recompression ratio may need to be included when using empirical estimates of C c ' to predict immediate settlement under small vertical stress (e.g., less than 15 kPa). shown to provide accurate simulations and predictions of field-scale datasets.The Gourc model included the lowest number of total and optimized model parameters and yielded high statistical performance for the DTBE prediction (R 2 = 0.99). The Gourc model was also found to be the most applicable and straightforward to implement and is recommended for use in practice. All other models that included unique functions for immediate compression, mechanical creep, and biocompression (Machado, Sowers, Marques, Babu, and Chen-2012) are capable of yielding satisfactory MSW simulations and predictions; however, additional model and/or model constraints are necessary for implementing these models.iv ACKNOWLEDGEMENTS

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Landfill

Marker¹

2017

Selective Neck Dissection for Oral Cancer

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Parameter Evaluation and Performance Comparison of MSW Settlement Prediction Models in Various Landfill Types

Cited by 17 publications

References 4 publications

Application of system dynamics to evaluate reduction targets for the entry of solid waste into a landfill site

Application of system dynamics to evaluate reduction targets for the entry of solid waste into a landfill site

Assessment of municipal solid waste settlement models based on field-scale data analysis

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