| Autor: |
de Oliveira-Júnior JF; Institute of Atmospheric Sciences (ICAT), Federal University of Alagoas (UFAL), Maceió, Alagoas, 57072-260, Brazil.; Postgraduate Program in Biosystems Engineering (PGEB), Federal Fluminense University (UFF), Niterói, Rio de Janeiro, 24220-900, Brazil., Filho WLFC; Institute of Atmospheric Sciences (ICAT), Federal University of Alagoas (UFAL), Maceió, Alagoas, 57072-260, Brazil., Alves LER; National Institute for Space Research (INPE), Av. dos Astronautas, 1758-Jardim da Granja, São José dos Campos, São Paulo, 12227-010, Brazil., Lyra GB; Postgraduate Program in Biosystems Engineering (PGEB), Federal Fluminense University (UFF), Niterói, Rio de Janeiro, 24220-900, Brazil.; Department of Environmental Sciences (DCA), Institute of Forests (IF), Rural Federal University of Rio de Janeiro (UFRRJ), Seropédica, Rio de Janeiro, 23897-000, Brazil., de Gois G; School of Industrial Metallurgical Engineering of Volta Redonda, Technological Center, Federal Fluminense University (UFF), Volta Redonda, Rio de Janeiro, 27255-250, Brazil., da Silva Junior CA; Department of Geography, State University of Mato Grosso (UNEMAT), Sinop, Mato Grosso, 78550-000, Brazil. carlosjr@unemat.br., Dos Santos PJ; Institute of Atmospheric Sciences (ICAT), Federal University of Alagoas (UFAL), Maceió, Alagoas, 57072-260, Brazil., Sobral BS; Postgraduate Program in Biosystems Engineering (PGEB), Federal Fluminense University (UFF), Niterói, Rio de Janeiro, 24220-900, Brazil.; Land and Cartography Institute of Rio de Janeiro (ITERJ), State Secretary for the Environment and Sustentability (SEAS-RJ), Rua Regente Feijó, 7, Centro, Rio de Janeiro, 20060-060, Brazil. |
| Abstrakt: |
The objective is to evaluate the fire foci dynamics via environmental satellites and their relationship with socioenvironmental factors and meteorological systems in the state of Alagoas, Brazil. Data considered the period between 2000 and 2017 and was obtained from CPTEC/INPE. Annual and monthly analyzes were performed based on descriptive, exploratory (boxplot) and multivariate statistics analyzes (cluster analysis (CA), principal component analysis (PCA)) and Poisson regression models (based on 2000 and 2010 census data). CA based on the Ward method identified five fire foci homogeneous groups (G 1 to G 5 ), while Coruripe did not classify within any group (NA); therefore, the CA technique was consistent (CCC = 0.772). Group G 1 is found in all regions of Alagoas, while G 2 , G 5 , and NA groups are found in Baixo São Francisco, Litoral, and Zona da Mata regions. Most fire foci were observed in the Litoral region. Seasonally, the largest records were from October to December months for all groups, influenced by the sugarcane harvesting period. The G4 group and Coruripe accounted for 60,767 foci (32.1%). The highest number of fire foci occurred in 2012 and 2015 (between 8000 and 9000 foci), caused by the action of the El Niño-Southern Oscillation. The Poisson regression showed that the dynamics of fire foci are directly associated with the Gini index and Human Development Index (models 1 and 3). Based on the PCA, the three components captured 78.8% of the total variance explained, and they were strongly influenced by the variables: population, GDP, and demographic density. The municipality of Maceió has the largest contribution from the fire foci, with values higher than 40%, and in PC1 and PC2 are related to urban densification and population growth. |
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