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Updated: Mar 3, 2026

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
Published on: October 21, 2016
Alternative carbon dioxide modelling approaches accounting for high residual gases in LandGEM
Nathan Bruce1, Kelvin Tsun Wai Ng2, Amy Richter1
1Environmental Systems Engineering, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada.
Abstract:
High Canadian waste disposal rates necessitate landfill gas monitoring and accurate forecasting. CO2 estimates in LandGEM version 3.02 currently rest on the assumptions that CO2 is a function of CH4, where the two gases make up nearly 100% of landfill gas content, leading to overestimated CO2 collection estimates. A total of 25 cases (five formulas, five approaches) compared annual CO2 collection at four western Canadian landfills. Despite common use in literature, the 1:1 ratio of CH4 to CO2 was not recommended to forecast landfill gas collection in cold climates. The existing modelling approach significantly overestimated CO2 production in three of four sites, resulting in the highest residual sum of squares. Optimization resulted in the most accurate results for all formulas and approaches, which had the greatest reduction in residual sums of squares (RSS) over the default approach (60.1 to 97.7%). The 1.4 Ratio approach for L o:L o-CO2 yielded the second most accurate results for CO2 flow (mean RSS reduction of 50.2% for all sites and subsection models). The annual k-modified LandGEM calculated k's via two empirical formulas (based on precipitation) and yielded the lowest accuracy in 12 of 20 approaches. Unlike other studies, strong relationships between optimized annual k's and precipitation were not observed.
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