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Using satellites to uncover large methane emissions from landfills

As atmospheric methane concentrations increase at record pace, it is critical to identify individual emission sources with high potential for mitigation. Here, we leverage the synergy between satellite instruments with different spatiotemporal coverage and resolution to detect and quantify emissions...

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Autores principales: Maasakkers, Joannes D., Varon, Daniel J., Elfarsdóttir, Aldís, McKeever, Jason, Jervis, Dylan, Mahapatra, Gourav, Pandey, Sudhanshu, Lorente, Alba, Borsdorff, Tobias, Foorthuis, Lodewijck R., Schuit, Berend J., Tol, Paul, van Kempen, Tim A., van Hees, Richard, Aben, Ilse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365275/
https://www.ncbi.nlm.nih.gov/pubmed/35947659
http://dx.doi.org/10.1126/sciadv.abn9683
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author Maasakkers, Joannes D.
Varon, Daniel J.
Elfarsdóttir, Aldís
McKeever, Jason
Jervis, Dylan
Mahapatra, Gourav
Pandey, Sudhanshu
Lorente, Alba
Borsdorff, Tobias
Foorthuis, Lodewijck R.
Schuit, Berend J.
Tol, Paul
van Kempen, Tim A.
van Hees, Richard
Aben, Ilse
author_facet Maasakkers, Joannes D.
Varon, Daniel J.
Elfarsdóttir, Aldís
McKeever, Jason
Jervis, Dylan
Mahapatra, Gourav
Pandey, Sudhanshu
Lorente, Alba
Borsdorff, Tobias
Foorthuis, Lodewijck R.
Schuit, Berend J.
Tol, Paul
van Kempen, Tim A.
van Hees, Richard
Aben, Ilse
author_sort Maasakkers, Joannes D.
collection PubMed
description As atmospheric methane concentrations increase at record pace, it is critical to identify individual emission sources with high potential for mitigation. Here, we leverage the synergy between satellite instruments with different spatiotemporal coverage and resolution to detect and quantify emissions from individual landfills. We use the global surveying Tropospheric Monitoring Instrument (TROPOMI) to identify large emission hot spots and then zoom in with high-resolution target-mode observations from the GHGSat instrument suite to identify the responsible facilities and characterize their emissions. Using this approach, we detect and analyze strongly emitting landfills (3 to 29 t hour(−1)) in Buenos Aires, Delhi, Lahore, and Mumbai. Using TROPOMI data in an inversion, we find that city-level emissions are 1.4 to 2.6 times larger than reported in commonly used emission inventories and that the landfills contribute 6 to 50% of those emissions. Our work demonstrates how complementary satellites enable global detection, identification, and monitoring of methane superemitters at the facility level.
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spelling pubmed-93652752022-08-18 Using satellites to uncover large methane emissions from landfills Maasakkers, Joannes D. Varon, Daniel J. Elfarsdóttir, Aldís McKeever, Jason Jervis, Dylan Mahapatra, Gourav Pandey, Sudhanshu Lorente, Alba Borsdorff, Tobias Foorthuis, Lodewijck R. Schuit, Berend J. Tol, Paul van Kempen, Tim A. van Hees, Richard Aben, Ilse Sci Adv Earth, Environmental, Ecological, and Space Sciences As atmospheric methane concentrations increase at record pace, it is critical to identify individual emission sources with high potential for mitigation. Here, we leverage the synergy between satellite instruments with different spatiotemporal coverage and resolution to detect and quantify emissions from individual landfills. We use the global surveying Tropospheric Monitoring Instrument (TROPOMI) to identify large emission hot spots and then zoom in with high-resolution target-mode observations from the GHGSat instrument suite to identify the responsible facilities and characterize their emissions. Using this approach, we detect and analyze strongly emitting landfills (3 to 29 t hour(−1)) in Buenos Aires, Delhi, Lahore, and Mumbai. Using TROPOMI data in an inversion, we find that city-level emissions are 1.4 to 2.6 times larger than reported in commonly used emission inventories and that the landfills contribute 6 to 50% of those emissions. Our work demonstrates how complementary satellites enable global detection, identification, and monitoring of methane superemitters at the facility level. American Association for the Advancement of Science 2022-08-10 /pmc/articles/PMC9365275/ /pubmed/35947659 http://dx.doi.org/10.1126/sciadv.abn9683 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Earth, Environmental, Ecological, and Space Sciences
Maasakkers, Joannes D.
Varon, Daniel J.
Elfarsdóttir, Aldís
McKeever, Jason
Jervis, Dylan
Mahapatra, Gourav
Pandey, Sudhanshu
Lorente, Alba
Borsdorff, Tobias
Foorthuis, Lodewijck R.
Schuit, Berend J.
Tol, Paul
van Kempen, Tim A.
van Hees, Richard
Aben, Ilse
Using satellites to uncover large methane emissions from landfills
title Using satellites to uncover large methane emissions from landfills
title_full Using satellites to uncover large methane emissions from landfills
title_fullStr Using satellites to uncover large methane emissions from landfills
title_full_unstemmed Using satellites to uncover large methane emissions from landfills
title_short Using satellites to uncover large methane emissions from landfills
title_sort using satellites to uncover large methane emissions from landfills
topic Earth, Environmental, Ecological, and Space Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365275/
https://www.ncbi.nlm.nih.gov/pubmed/35947659
http://dx.doi.org/10.1126/sciadv.abn9683
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