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Strong methane point sources contribute a disproportionate fraction of total emissions across multiple basins in the United States.

Authors :
Cusworth, Daniel H.
Thorpe, Andrew K.
Ayasse, Alana K.
Stepp, David
Heckler, Joseph
Asner, Gregory P.
Miller, Charles E.
Yadav, Vineet
Chapman, John W.
Eastwood, Michael L.
Green, Robert O.
Hmiel, Benjamin
Lyon, David R.
Duren, Riley M.
Source :
Proceedings of the National Academy of Sciences of the United States of America. 9/20/2022, Vol. 119 Issue 38, p1-7. 23p.
Publication Year :
2022

Abstract

Understanding, prioritizing, and mitigating methane (CH4) emissions requires quantifying CH4 budgets from facility scales to regional scales with the ability to differentiate between source sectors. We deployed a tiered observing system for multiple basins in the United States (San Joaquin Valley, Uinta, Denver-Julesburg, Permian, Marcellus). We quantify strong point source emissions (>10 kg CH4 h-1) using airborne imaging spectrometers, attribute them to sectors, and assess their intermittency with multiple revisits. We compare these point source emissions to total basin CH4 fluxes derived from inversion of Sentinel-5p satellite CH4 observations. Across basins, point sources make up on average 40% of the regional flux. We sampled some basins several times across multiple months and years and find a distinct bimodal structure to emission timescales: the total point source budget is split nearly in half by short-lasting and long-lasting emission events. With the increasing airborne and satellite observing capabilities planned for the near future, tiered observing systems will more fully quantify and attribute CH4 emissions from facility to regional scales, which is needed to effectively and efficiently reduce methane emissions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
119
Issue :
38
Database :
Academic Search Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
159225536
Full Text :
https://doi.org/10.1073/pnas.2202338119