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ORIGINAL RESEARCH article
Front. Earth Sci.
Sec. Atmospheric Science
Volume 13 - 2025 | doi: 10.3389/feart.2025.1549385
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This study uses in situ measurements, satellite data, and modeling techniques to investigate methane (CH 4 ) emissions from the Caieiras landfill in S ão Paulo, Brazil. Methane is the second most significant greenhouse gas due to its high heating potential. Previous studies have shown that landfills can be considered the super-emitters of methane. Quantifying its emissions is essential to comprehending the emissions patterns of this emitter, promoting an improvement in data from inventories. Multiple platforms were used to obtain the data and better characterize the landfill. Satellite data from TROPOMI and EMIT were analyzed during the present study to characterize emission feathers. The results showed consistent emissions over four years, as shown by the inversions obtained using TROPOMI data. EMIT could identify one plume originating in the landfill dispersed over the city's populated area. The in situ data were acquired near the Caieiras landfill using a greenhouse gas analyzer with integrated off-axis cavity output spectroscopy (OA-ICOS), a high-precision method to measure gases in the atmosphere. Three campaigns were conducted in 2023 on February 14, July 6, and November 22. The results obtained in all three campaigns showed median concentration values above 2 ppm, reaching values close to 35 ppm. These data were integrated into the AERMOD dispersion model, combined with meteorological data, and estimated methane emission rates, revealing variability 1 Silva et al. Landfill CH 4 Emission: Insights from Inversion Methods, Satellite, and CRDS of concentrations, where emission rates were 12,974.4 kg/h, 11,284.92 kg/h and 23,472 kg/h, respectively, for three days of sampling. The integrated approach in this study promotes valuable insights into landfill emissions and emphasizes targeted strategies for mitigating greenhouse gases. Results support the elaboration of policies to enhance waste management and reduce the climate impact produced by waste.
Keywords: Methane, Landfills, Greenhouse Gas Analyzer, inverse modelling, atmospheric inversion, satellite data
Received: 21 Dec 2024; Accepted: 10 Mar 2025.
Copyright: © 2025 Andrade Da Silva, Da Silva Andrade, Araujo, Corrêa, Pellegrinetti Mendes, Noronha Dutra Ribeiro, Andrade and Landulfo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Thaís Andrade Da Silva, Instituto de Pesquisas Energéticas e Nucleares (IPEN), São Paulo, Brazil
Izabel Da Silva Andrade, Instituto de Pesquisas Energéticas e Nucleares (IPEN), São Paulo, Brazil
Elaine Cristina Araujo, Instituto de Pesquisas Energéticas e Nucleares (IPEN), São Paulo, Brazil
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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