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Updated: May 13, 2026

08:18
Design and Use of a Full Flow Sampling System (FFS) for the Quantification of Methane Emissions
Published on: June 12, 2016
Using observed data to improve estimated methane collection from select U.S. landfills.
Xiaoming Wang1, Ajay S Nagpure, Joseph F DeCarolis
1Department of Civil, Construction, and Environmental Engineering, Campus Box 7908, North Carolina State University, Raleigh, North Carolina 27695-7908, United States. xwang25@ncsu.edu
Environmental Science & Technology
|March 9, 2013
Summary
Landfill methane generation estimates may be too low. This study found higher decay rates than the U.S. EPA
Area of Science:
- Environmental Science
- Chemical Engineering
- Geoscience
Background:
- Landfills produce methane, a greenhouse gas and energy source.
- Current U.S. EPA Landfill Gas Emissions Model (LandGEM) uses outdated parameters.
- Accurate methane estimation is crucial for climate and energy assessments.
Purpose of the Study:
- To re-evaluate the first-order decay rate (k) parameter in the LandGEM model.
- To improve the accuracy of methane generation estimates from U.S. landfills.
- To investigate the impact of updated decay rates on early-stage landfill gas production.
Main Methods:
- Collected methane collection data from 11 U.S. landfills.
- Incorporated site-specific gas collection efficiencies.
- Reformulated LandGEM equation and optimized decay rate (k) using formal search techniques.
- Minimized the sum of squared errors between model predictions and observed data.
Main Results:
- Optimal decay rates (k) were consistently higher than the default AP-42 value (0.04 yr⁻¹).
- Weighted average decay rate across landfills ranged from 0.09 to 0.12 yr⁻¹.
- The default LandGEM decay rate is likely underestimated.
Conclusions:
- The default decay rate in LandGEM underestimates methane production, particularly in early landfill years.
- Higher decay rates suggest more methane is generated sooner after waste burial.
- Updated parameters are needed for more accurate landfill methane emission inventories and energy recovery potential.

