2018
DOI: 10.1590/0102-7786334006
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Investigação da Relação entre Variáveis Atmosféricas e a Concentração de MP10 E O3 no Estado de São Paulo

Abstract: ResumoO presente estudo tem como objetivo identificar relações entre variáveis atmosféricas e concentrações de material particulado inalável (MP 10 ) e ozônio (O 3 ) registradas no estado de São Paulo. Para isso, foram utilizados dados entre 2005 a 2014 de cinco estações de monitoramento de qualidade do ar. O estudo foi baseado em duas metodologias: Análise de Componentes Principais (ACP) e campos médios meteorológicos. Nas ACP para as concentrações de O 3 , encontraramse correlações positivas entorno de 0,5 e… Show more

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Cited by 12 publications
(9 citation statements)
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References 24 publications
(20 reference statements)
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“…Relative humidity had negative loadings split between the PCs 1 and 2, indicating a negative correlation with pollutant concentration. Previous studies reported associations between increased O 3 concentrations, high temperatures and low relative humidity at MASP (Santos et al, 2018). A third component, less relevant in terms of explained variance, had only wind speed as a main variable, isolated from the other variables.…”
Section: Air Pollution Sources and Processesmentioning
confidence: 87%
See 1 more Smart Citation
“…Relative humidity had negative loadings split between the PCs 1 and 2, indicating a negative correlation with pollutant concentration. Previous studies reported associations between increased O 3 concentrations, high temperatures and low relative humidity at MASP (Santos et al, 2018). A third component, less relevant in terms of explained variance, had only wind speed as a main variable, isolated from the other variables.…”
Section: Air Pollution Sources and Processesmentioning
confidence: 87%
“…PCA is a multivariate analysis that identifies associations between variables in a dataset, resulting on a group of so called Principal Components (PCs), which consist of linear combinations of the original variables, reducing the complexity of the original dataset (Correia and Ferreira, 2007). PCA has been successfully applied to environmental data before (Guardani et al, 2003;Santos et al, 2018;Corrêa et al, 2019). The analysis was performed using the "principal" function in the R software, with the option of Varimax rotation.…”
Section: Data Analysis Proceduresmentioning
confidence: 99%
“…Similar results were found by Carvalho et al (2015) and Santos et al (2016), showing higher concentrations of most pollutants in the MASP during Winter, when low rainfall rates, low winds, the predominance of the South Atlantic Subtropical High (SASH), and thermal inversions in the lower atmosphere inhibit dispersal of pollutants. However, higher O3 concentrations were registered during Spring and Summer when clear sky conditions, high temperatures, low relative humidity, and no precipitation dominate (Carvalho et al, 2012;Carvalho et al, 2015;Santos et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Some seasons are more susceptible to the accumulation of concentrations of certain pollutants. In the MASP, high concentrations of particulate matter (PM) are more frequent in the austral winter, a season characterized by thermal inversions, atmospheric stability, and weather conditions unfavorable to pollution dispersion [3]. This season in the MASP is also characterized by the influence of a semi-stationary system of high surface pressure, the South Atlantic Subtropical High (SASH), that contributes to the occurrence of periods of drought [4].…”
Section: Introductionmentioning
confidence: 99%