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FC6 - Departamento de Ciência de Computadores FC5 - Edifício Central FC4 - Departamento de Biologia FC3 - Departamento de Física e Astronomia e Departamento GAOT FC2 - Departamento de Química e Bioquímica FC1 - Departamento de Matemática
Publication

Principal component and multiple linear regressions to predict ozone concentrations

Title
Principal component and multiple linear regressions to predict ozone concentrations
Type
Poster in an International Conference
Year
2007
Authors
Sofia I. V. Sousa
(Author)
FEUP
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Fernando G. Martins
(Author)
FEUP
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José C. M. Pires
(Author)
FEUP
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Maria C. M. Alvim-Ferraz
(Author)
FEUP
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Maria C. Pereira
(Author)
FEUP
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Conference International
28th NATO/CCMS International Technical Meeting on Air Pollution Modeling and Its Applications
Leipzig, Germany, May 15-19, 2006
Indexing
Publicação em Scopus Scopus
Scientific classification
FOS: Engineering and technology
CORDIS: Technological sciences > Engineering > Systems engineering
Other information
Abstract (EN): The aim of this study was: (i) to predict next day hourly ozone concentrations, for an urban site with traffic influence located at Oporto, by applying principal component regression (PCR); and (ii) comparing PCR with multiple linear regression (MLR). The use of principal components as inputs in the models improved the O3 concentrations prediction.
Language: English
Type (Professor's evaluation): Scientific
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