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Simulating Temperature in a Soil Incubation Experiment
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Distributed mathematical model for simulating temperature profile in landfill.

Anjali Bhagwat1, Chandra Shekhar Prasad Ojha2

  • 1Hydrological Investigation Division, National Institute of Hydrology, Roorkee, Uttarakhand, India; Department of Civil Engineering, Indian Institute of Technology, Roorkee, Uttarakhand, India.

Waste Management (New York, N.Y.)
|May 28, 2023
PubMed
Summary
This summary is machine-generated.

A new numerical model accurately predicts landfill temperatures, revealing significant heat generation from waste decomposition. This model helps understand temperature variations and their impact on landfill stability and leachate.

Keywords:
Landfill LeachateTemperature ProfileWaste layer and MacCormack Scheme

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Area of Science:

  • Environmental Engineering
  • Geotechnical Engineering
  • Numerical Modeling

Background:

  • Elevated landfill temperatures negatively impact landfill cover, stability, slope, and leachate migration.
  • Understanding and predicting these temperatures is crucial for effective landfill management.

Purpose of the Study:

  • To develop and validate a distributed numerical model for predicting temperature profiles within landfills.
  • To analyze the influence of waste stratification and decomposition processes on landfill temperature.

Main Methods:

  • A distributed numerical model using the MacCormack finite difference method was developed.
  • The model incorporated waste stratification (new vs. old waste) with distinct heat generation values for aerobic and anaerobic processes.
  • A predictor-corrector approach with specific boundary conditions (Dirichlet at the surface, no flow at the bottom) was employed.

Main Results:

  • The model demonstrated good agreement with field observations, achieving correlation coefficients of 0.8 (calibration) and 0.73 (validation).
  • Simulated temperatures consistently exceeded atmospheric temperatures across all depths and seasons.
  • Maximum temperature differences of 333°C (December) and minimum of 22°C (June) were recorded, with higher temperatures in upper layers due to aerobic degradation.

Conclusions:

  • The developed numerical model is effective in predicting landfill temperature variations.
  • Waste decomposition, influenced by stratification and moisture movement, significantly affects internal landfill temperatures.
  • The model's accuracy supports its use for predicting landfill temperatures under diverse climatic conditions.