Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784765310739415040 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9365275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT maasakkersjoannesd usingsatellitestouncoverlargemethaneemissionsfromlandfills AT varondanielj usingsatellitestouncoverlargemethaneemissionsfromlandfills AT elfarsdottiraldis usingsatellitestouncoverlargemethaneemissionsfromlandfills AT mckeeverjason usingsatellitestouncoverlargemethaneemissionsfromlandfills AT jervisdylan usingsatellitestouncoverlargemethaneemissionsfromlandfills AT mahapatragourav usingsatellitestouncoverlargemethaneemissionsfromlandfills AT pandeysudhanshu usingsatellitestouncoverlargemethaneemissionsfromlandfills AT lorentealba usingsatellitestouncoverlargemethaneemissionsfromlandfills AT borsdorfftobias usingsatellitestouncoverlargemethaneemissionsfromlandfills AT foorthuislodewijckr usingsatellitestouncoverlargemethaneemissionsfromlandfills AT schuitberendj usingsatellitestouncoverlargemethaneemissionsfromlandfills AT tolpaul usingsatellitestouncoverlargemethaneemissionsfromlandfills AT vankempentima usingsatellitestouncoverlargemethaneemissionsfromlandfills AT vanheesrichard usingsatellitestouncoverlargemethaneemissionsfromlandfills AT abenilse usingsatellitestouncoverlargemethaneemissionsfromlandfills |