A gridded inventory of Canada's anthropogenic methane emissions. (22nd December 2021)

• Record Type: Journal Article
• Authors: Scarpelli, Tia R; Jacob, Daniel J; Moran, Michael; Reuland, Frances; Gordon, Deborah
• Is Part Of: Environmental research letters. Volume 17:Number 1(2022)
• Publication Date: 2021-12-22
• Subjects: Canada -- oil and gas -- methane -- emissions; Environmental sciences -- Periodicals; Human ecology -- Research -- Periodicals; Environmental health -- Periodicals; 333.7
• DOI: 10.1088/1748-9326/ac40b1
• Languages: English
• ISSNs: 1748-9326

Abstract

Abstract: Canada's anthropogenic methane emissions are reported annually to the United Nations Framework Convention on Climate Change through Canada's National Inventory Report (NIR). Evaluation of this policy-relevant inventory using observations of atmospheric methane requires prior information on the spatial distribution of emissions but that information is lacking in the NIR. Here we spatially allocate the NIR methane emissions for 2018 on a 0.1° × 0.1° grid (≍10 km × 10 km) for individual source sectors and subsectors, with further resolution by source type for the oil/gas sector, using an ensemble of national and provincial geospatial datasets and including facility-level information from Canada's Greenhouse Gas Reporting Program. The highest emissions are from oil/gas production and livestock in western Canada, and landfills in eastern Canada. We find 11 hotspots emitting more than 1 metric ton h −1 on the 0.1° × 0.1° grid. Oil sands mines in northeast Alberta contribute 3 of these hotspots even though oil sands contribute only 4% of national oil/gas emissions. Our gridded inventory shows large spatial differences with the EDGAR v5 inventory commonly used for inversions of atmospheric methane observations, which may reflect EDGAR's reliance on global geospatial datasets. Comparison of our spatially resolved inventory to atmospheric measurements in oil/gas production fields suggests that the NIR underestimates these emissions. We also find strong spatial overlap between oil/gas, livestock, and wetland emissions in western Canada that may complicate source attribution in inversions of atmospheric data.