O uso e interpretação de análise de componentes principais, em séries temporais, com enfoque no gerenciamento da qualidade do ar
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2013-08-09
Autores
Zamprogno, Bartolomeu
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Universidade Federal do Espírito Santo
Resumo
This work was motivated by the application of principal component analysis technique in different contexts of area air pollution, especially in the use of network management. This statistical methodology in practical terms produces information with accuracies in making important decisions for quality air. This technique is commonly used, as well as in the regression analysis as a tool for analysis and interpretation of the phenomena of the data. However, according to the statistical literature that fosters basis for the use of this tool in any area of application, the technique requires the assumption in this case the use of independent variables, a characteristic which is hardly observed in practical situations in the field of air pollution. In general, the data available for troubleshooting management network, identification of pollutant source, studies spatio-temporal association and the number of hospitalizations for respiratory pollutants are by series displaying structure of short and long time dependence, that is, autocorrelation. The research results show, in the field of time that the technique of principal components analysis, depending on the structure autocorrelation of the series, can be based on spurious results. When the structure is weak, the autocorrelation effect of autocorrelation is practically zero, so that the method can be used without further problems. In the context of the use of the technique of time series analysis in the frequency domain was reported the extension of existing methods for the case of time series data memory long. The results show that the use of frequency domain methods can be used, but some considerations should be observed and some types of applications, the air pollution, deserve further study because of the difficulty of interpreting the frequency domain.
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frequency domain , principal component analysis , air pollution , time series analysis , time domain , Domínio do tempo , Domínio da frequência , Poluição do ar
Citação
ZAMPROGNO, Bartolomeu. O uso e interpretação de análise de componentes principais, em séries temporais, com enfoque no gerenciamento da qualidade do ar. 2013. 117 f. Tese (Doutorado em Engenharia Ambiental) - Programa de Pós-Graduação em Engenharia Ambiental, Universidade Federal do Espírito Santo, Vitória, 2013.