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Environmental Science and Pollution Research

, Volume 24, Issue 16, pp 14322–14336 | Cite as

Alternative carbon dioxide modelling approaches accounting for high residual gases in LandGEM

  • Nathan Bruce
  • Kelvin Tsun Wai NgEmail author
  • Amy Richter
Research Article

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.

Keywords

Landfill gas modelling CO2 collection Landfill residual gases First-order decay model Canadian carbon emission Cold climates 

Notes

Acknowledgements

The research reported in this paper was supported by a grant (RGPIN-385815) from the Natural Sciences and Engineering Research Council of Canada. The authors are grateful for their support. Special acknowledgment goes to the cities’ landfill teams, who supported the data collection. The views expressed herein are those of the writers and not necessarily those of our research and funding partners.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Nathan Bruce
    • 1
  • Kelvin Tsun Wai Ng
    • 1
    Email author
  • Amy Richter
    • 1
  1. 1.Environmental Systems EngineeringUniversity of ReginaReginaCanada

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