EGU26-5917, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-5917
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Thursday, 07 May, 10:45–12:30 (CEST), Display time Thursday, 07 May, 08:30–12:30
 
Hall X5, X5.129
Source category attribution of urban methane emissions using Positive MatrixFactorization (PMF) with long-term trace gas measurements
Zhenyu Xing, Chris Hugenholtz, Thomas Barchyn, Tyler Gough, and Coleman vollrath
Zhenyu Xing et al.
  • Smart Emissions Sensing Technologies (SENST) Lab, Department of Geography, University of Calgary, 2500 University Drive NW, Calgary, Alberta, Canada, T2N 1N4

Cities emit methane (CH4) and have a role to play in mitigating the climate impacts of their emissions. Research suggests that CH4 emissions from most cities have large contributions from natural gas distribution and end use. In this work, we examine long-term measurements of CH4, CO, NOx, and VOCs from an urban air monitoring station in CalgaryCanada to resolve key contributors to CH4 enhancements. Using Positive Matrix Factorization (PMF), we identified four primary CH4 emissions source categories: natural gas – fugitivesnatural gas – incomplete combustionwaste/biogenic, and petroleum product processing. Results from PMF modeling indicate that the bulk of CH4 emissions in Calgary are from natural gas fugitives and incomplete combustion (81% ± 35%)This is much higher than the proportion derived from available emissions inventories. The CH4 emissions from natural gas sources increase in winter and may be related to increased natural gas use for heating; results further supported by a land-use analysis. Emissions from waste/biogenic sources were the next largest contributor, which doubled in warmer months, consistent with temperature-driven microbial activity. Overall, these findings underscore the need for targeted mitigation strategies focused on the natural gas supply chain, while also highlighting the influence of seasonal dynamics on urban CH4 emissions. 

How to cite: Xing, Z., Hugenholtz, C., Barchyn, T., Gough, T., and vollrath, C.: Source category attribution of urban methane emissions using Positive MatrixFactorization (PMF) with long-term trace gas measurements, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5917, https://doi.org/10.5194/egusphere-egu26-5917, 2026.