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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.
Afiliação
  • Maasakkers JD; SRON Netherlands Institute for Space Research, Leiden, Netherlands.
  • Varon DJ; Harvard University, Cambridge, MA, USA.
  • Elfarsdóttir A; GHGSat Inc., Montréal, Quebec, Canada.
  • McKeever J; SRON Netherlands Institute for Space Research, Leiden, Netherlands.
  • Jervis D; GHGSat Inc., Montréal, Quebec, Canada.
  • Mahapatra G; GHGSat Inc., Montréal, Quebec, Canada.
  • Pandey S; SRON Netherlands Institute for Space Research, Leiden, Netherlands.
  • Lorente A; SRON Netherlands Institute for Space Research, Leiden, Netherlands.
  • Borsdorff T; SRON Netherlands Institute for Space Research, Leiden, Netherlands.
  • Foorthuis LR; SRON Netherlands Institute for Space Research, Leiden, Netherlands.
  • Schuit BJ; SRON Netherlands Institute for Space Research, Leiden, Netherlands.
  • Tol P; SRON Netherlands Institute for Space Research, Leiden, Netherlands.
  • van Kempen TA; GHGSat Inc., Montréal, Quebec, Canada.
  • van Hees R; SRON Netherlands Institute for Space Research, Leiden, Netherlands.
  • Aben I; SRON Netherlands Institute for Space Research, Leiden, Netherlands.
Sci Adv ; 8(32): eabn9683, 2022 Aug 12.
Article em En | MEDLINE | ID: mdl-35947659
ABSTRACT
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Adv Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Adv Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda