@Article{OliveiraJúniorCALGSSS:2020:FiFoDy,
author = "Oliveira J{\'u}nior, Jos{\'e} Francisco de and Correia Filho,
Washington Luiz F{\'e}lix and Alves, Laur{\'{\i}}zio Emanuel
Ribeiro and Lyra, Gustavo Bastos and Gois, Givanildo de and Silva
J{\'u}nior, Carlos Antonio and Santos, Paulo Jos{\'e} dos and
Sobral, Bruno Serafini",
affiliation = "{Universidade Federal de Alagoas (UFAL)} and {Universidade Federal
de Alagoas (UFAL)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Universidade Federal Rural do Rio de Janeiro (UFRRJ)}
and {Universidade Federal Fluminense (UFF)} and {Universidade do
Estado de Mato Grosso (UNEMAT)} and {Universidade Federal de
Alagoas (UFAL)}",
title = "Fire foci dynamics and their relationship with socioenvironmental
factors and meteorological systems in the state of Alagoas,
Northeast Brazil",
journal = "Environmental Monitoring and Assessment",
year = "2020",
volume = "192",
number = "10",
pages = "e654",
month = "Oct.",
keywords = "Crop production, Environmental satellites, Multivariate
analysis.",
abstract = "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 (G1 to G5), while Coruripe did
not classify within any group (NA); therefore, the CA technique
was consistent (CCC = 0.772). Group G1 is found in all regions of
Alagoas, while G2, G5, and NA groups are found in Baixo S{\~a}o
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 NiñoSouthern 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 Macei{\'o} 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.",
doi = "10.1007/s10661-020-08588-5",
url = "http://dx.doi.org/10.1007/s10661-020-08588-5",
issn = "0167-6369",
language = "en",
targetfile = "oliveira jr_fire.pdf",
urlaccessdate = "28 abr. 2024"
}