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Atmospheric concentrations of CH4 in central-western areas of Brazil for 2009–2019 using GOSAT satellite

dc.contributor.authorMaria, Luciano de Souza [UNESP]
dc.contributor.authorRossi, Fernando Saragosa [UNESP]
dc.contributor.authorda Costa, Luis Miguel [UNESP]
dc.contributor.authorCampos, Marcelo Odorizzi [UNESP]
dc.contributor.authorPanosso, Alan Rodrigo [UNESP]
dc.contributor.authorda Silva Junior, Carlos Antonio
dc.contributor.authorScala, Newton La [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)pt
dc.contributor.institutionUniversity of the State of Mato Grossoen
dc.date.accessioned2025-11-28T14:02:25Z
dc.date.issued2025-04-01
dc.description.abstractThe study of methane (CH4) concentrations in the atmosphere over central-western Brazil is of great importance due to the significant impact of cattle-raising activities and the presence of one of the largest floodplains in the world, the Pantanal. Furthermore, an aggravating factor observed in recent years is the prolonged dry periods, which have intensified the occurrence of fires. These fires, whether in deforested areas or regions converted for livestock or agricultural use, contribute to the rising atmospheric concentrations of CH4. We analyzed the seasonality and spatial variability of the column-averaged CH4 dry air mole fraction (xCH4) and investigated its relationships with cattle ranching activities and other attributes derived from remote sensing in the State of Mato Grosso do Sul. We used the Enhanced Vegetation Index (EVI) and Land Surface Temperature (LST) data from the MODIS sensor, and the xCH4 data was acquired from the TANSO-FTS sensor onboard on GOSAT. The Mann-Kendall trend test revealed a significant trend (P < 0.05) for April, suggesting a monotonic increase in xCH4 levels after 2014, further confirmed by Pettitt's test (P = 0.042). Moreover, we were able to explain 78.43 % of the data variability through PCA analysis, and the first component alone was responsible for 43.42 %. The xCH4 pattern was highly similar to the LST over the time series (2009–2019). The linear regression between both points out that xCH4 levels would increase around 3.57 per °C. Therefore, with climate change, the temperature tends to be an excellent indicator of the increase in CH4 concentration in areas located in the central-west region of Brazil.en
dc.description.affiliationSão Paulo State University (Unesp)en
dc.description.affiliationUniversity of the State of Mato Grossoen
dc.description.affiliationUnespSão Paulo State University (Unesp)
dc.description.affiliationUnespSão Paulo State University (Unesp)en
dc.format.extent5439-5449
dc.identifierhttp://dx.doi.org/10.1016/j.asr.2025.01.058
dc.identifier.citationAdvances in Space Research, v. 75, n. 7, p. 5439-5449, 2025.
dc.identifier.doi10.1016/j.asr.2025.01.058
dc.identifier.issn1879-1948
dc.identifier.issn0273-1177
dc.identifier.scopus2-s2.0-85217043699
dc.identifier.scopus2-s2.0-105001064457
dc.identifier.urihttps://hdl.handle.net/11449/315806
dc.language.isoeng
dc.relation.ispartofAdvances in Space Research
dc.rights.accessRightsAcesso restritopt
dc.sourceScopus
dc.subjectCattle headsen
dc.subjectClimate changeen
dc.subjectGreenhouse gasesen
dc.subjectMethaneen
dc.subjectRadiative forcingen
dc.subjectRemote sensingen
dc.titleAtmospheric concentrations of CH4 in central-western areas of Brazil for 2009–2019 using GOSAT satelliteen
dc.typeArtigopt
dspace.entity.typePublication

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