Atmospheric concentrations of CH4 in central-western areas of Brazil for 2009–2019 using GOSAT satellite
| dc.contributor.author | Maria, Luciano de Souza [UNESP] | |
| dc.contributor.author | Rossi, Fernando Saragosa [UNESP] | |
| dc.contributor.author | da Costa, Luis Miguel [UNESP] | |
| dc.contributor.author | Campos, Marcelo Odorizzi [UNESP] | |
| dc.contributor.author | Panosso, Alan Rodrigo [UNESP] | |
| dc.contributor.author | da Silva Junior, Carlos Antonio | |
| dc.contributor.author | Scala, Newton La [UNESP] | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | pt |
| dc.contributor.institution | University of the State of Mato Grosso | en |
| dc.date.accessioned | 2025-11-28T14:02:25Z | |
| dc.date.issued | 2025-04-01 | |
| dc.description.abstract | The 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.affiliation | São Paulo State University (Unesp) | en |
| dc.description.affiliation | University of the State of Mato Grosso | en |
| dc.description.affiliationUnesp | São Paulo State University (Unesp) | |
| dc.description.affiliationUnesp | São Paulo State University (Unesp) | en |
| dc.format.extent | 5439-5449 | |
| dc.identifier | http://dx.doi.org/10.1016/j.asr.2025.01.058 | |
| dc.identifier.citation | Advances in Space Research, v. 75, n. 7, p. 5439-5449, 2025. | |
| dc.identifier.doi | 10.1016/j.asr.2025.01.058 | |
| dc.identifier.issn | 1879-1948 | |
| dc.identifier.issn | 0273-1177 | |
| dc.identifier.scopus | 2-s2.0-85217043699 | |
| dc.identifier.scopus | 2-s2.0-105001064457 | |
| dc.identifier.uri | https://hdl.handle.net/11449/315806 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Advances in Space Research | |
| dc.rights.accessRights | Acesso restrito | pt |
| dc.source | Scopus | |
| dc.subject | Cattle heads | en |
| dc.subject | Climate change | en |
| dc.subject | Greenhouse gases | en |
| dc.subject | Methane | en |
| dc.subject | Radiative forcing | en |
| dc.subject | Remote sensing | en |
| dc.title | Atmospheric concentrations of CH4 in central-western areas of Brazil for 2009–2019 using GOSAT satellite | en |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication |
