Using satellites to uncover large methane emissions from landfills.
Joannes D MaasakkersDaniel J VaronAldís ElfarsdóttirJason McKeeverDylan JervisGourav MahapatraSudhanshu PandeyAlba LorenteTobias BorsdorffLodewijck R FoorthuisBerend J SchuitPaul TolTim A van KempenRichard van HeesIlse AbenPublished in: Science advances (2022)
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.
Keyphrases
- municipal solid waste
- anaerobic digestion
- sewage sludge
- high resolution
- climate change
- patient reported outcomes
- blood pressure
- carbon dioxide
- electronic health record
- magnetic resonance imaging
- healthcare
- drinking water
- big data
- single molecule
- quantum dots
- loop mediated isothermal amplification
- solid state
- machine learning
- air pollution
- label free
- liquid chromatography
- deep learning
- long term care
- real time pcr
- fluorescent probe
- sensitive detection