A gridded inventory of Canada's anthropogenic methane emissions

被引:17
作者
Scarpelli, Tia R. [1 ]
Jacob, Daniel J. [1 ]
Moran, Michael [2 ]
Reuland, Frances [3 ]
Gordon, Deborah [4 ]
机构
[1] Harvard Univ, Cambridge, MA 02138 USA
[2] Environm & Climate Change Canada, Toronto, ON, Canada
[3] Rocky Mt Inst, Boulder, CO 80301 USA
[4] Rocky Mt Inst, Providence, RI USA
来源
ENVIRONMENTAL RESEARCH LETTERS | 2022年 / 17卷 / 01期
关键词
Canada; oil and gas; methane; emissions; NORTH-AMERICAN METHANE; HIGH-SPATIAL-RESOLUTION; OIL SANDS REGION; ATMOSPHERIC METHANE; GAS; INVERSION; ALBERTA; TRENDS; SEASONALITY;
D O I
10.1088/1748-9326/ac40b1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 degrees x 0.1 degrees grid (approximate to 10 km x 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 degrees x 0.1 degrees 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.
引用
收藏
页数:14
相关论文
共 63 条
[1]  
Agriculture and Agri-Food Canada, 2019, BIOM INV MAPP AN TOO
[2]  
Alberta Energy Regulator, 2015, SER PUBL ST45 COAL M
[3]  
Alberta Energy Regulator, 2018, STAT SER ST26 ALB CO
[4]  
[Anonymous], 2020, Greenhouse Gas Inventory Data-Detailed data by Party
[5]   Investigation of the Spatial Distribution of Methane Sources in the Greater Toronto Area Using Mobile Gas Monitoring Systems [J].
Ars, Sebastien ;
Vogel, Felix ;
Arrowsmith, Colin ;
Heerah, Sajjan ;
Knuckey, Emily ;
Lavoie, Juliette ;
Lee, Christopher ;
Pak, Nasrin Mostafavi ;
Phillips, Jaden L. ;
Wunch, Debra .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2020, 54 (24) :15671-15679
[6]   Mobile measurement of methane emissions from natural gas developments in northeastern British Columbia, Canada [J].
Atherton, Emmaline ;
Risk, David ;
Fougere, Chelsea ;
Lavoie, Martin ;
Marshall, Alex ;
Werring, John ;
Williams, James P. ;
Minions, Christina .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2017, 17 (20) :12405-12420
[7]  
Baray S., 2021, ATMOS CHEM PHYS DISC, V2021, P1, DOI [10.5194/acp-2020-1195, DOI 10.5194/ACP-2020-1195]
[8]   Quantification of methane sources in the Athabasca Oil Sands Region of Alberta by aircraft mass balance [J].
Baray, Sabour ;
Darlington, Andrea ;
Gordon, Mark ;
Hayden, Katherine L. ;
Leithead, Amy ;
Li, Shao-Meng ;
Liu, Peter S. K. ;
Mittermeier, Richard L. ;
Moussa, Samar G. ;
O'Brien, Jason ;
Staebler, Ralph ;
Wolde, Mengistu ;
Worthy, Doug ;
McLaren, Robert .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2018, 18 (10) :7361-7378
[9]  
BC Geological Survey, 2018, MINFILE PROD DAT MIN
[10]   A global wetland methane emissions and uncertainty dataset for atmospheric chemical transport models (WetCHARTs version 1.0) [J].
Bloom, A. Anthony ;
Bowman, Kevin W. ;
Lee, Meemong ;
Turner, Alexander J. ;
Schroeder, Ronny ;
Worden, John R. ;
Weidner, Richard ;
McDonald, Kyle C. ;
Jacob, Daniel J. .
GEOSCIENTIFIC MODEL DEVELOPMENT, 2017, 10 (06) :2141-2156