Estimation of methane generation in MSW Landfill and Uncertainty Analysis by the approach of Bayesian Inference, case study: Saravan Dump Site

Using green gas emissions as a green energy resource has become a common strategy to address the issues related earth Global Warming (GW) and counter environmental pollution. It however needs an accurate estimation of the amount of Landfill Gas (LFG) emissions which generally is done based on the first-order decay model (FOD). By evaluating the FOD model, determined that using the default parameters of the model leads to considerable error and uncertainty. As matter of fact, choosing the input parameters should be site-specific. The LFG measurements from the Saravan dumpsite located in Rasht in northern Iran and other related information from this dumpsite used to evaluate the first-order decay model. The sensitivity analysis showed which parameters have the most influenced on the LFG calculations. Referring to consequences, with a practical method and using Bayesian inference, the results were determined to demonstrate the uncertainty of the model and compared with the data found and the Monte Carlo simulated data for a model uncertainty analysis.

کلیدواژه ها:

MSW Landfill ، Gas Emission ، Saravan Dumpsite ، First-OrderDecay ، Uncertainty.