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
SRON Netherlands Institute for Space Research, Leiden, Netherlands.
Harvard University, Cambridge, MA, USA.
Sci Adv. 2022 Aug 12;8(32):eabn9683. doi: 10.1126/sciadv.abn9683. Epub 2022 Aug 10.
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) 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.
随着大气中甲烷浓度以创纪录的速度上升,识别具有高减排潜力的单个排放源至关重要。在此,我们利用具有不同时空覆盖范围和分辨率的卫星仪器之间的协同作用,来检测和量化各个垃圾填埋场的排放。我们使用全球监测对流层监测仪器(TROPOMI)来识别大型排放热点,然后利用GHGSat仪器套件的高分辨率目标模式观测进行放大,以识别相关设施并描述其排放特征。使用这种方法,我们在布宜诺斯艾利斯、德里、拉合尔和孟买检测并分析了强排放垃圾填埋场(每小时3至29吨)。在反演中使用TROPOMI数据,我们发现城市层面的排放比常用排放清单中报告的大1.4至2.6倍,且这些垃圾填埋场贡献了其中6%至50%的排放。我们的工作展示了互补卫星如何实现对设施层面甲烷超级排放源的全球检测、识别和监测。