Dynamic Principal Component Analysis: Identifying the Relationship between Multiple Air Pollutants

10 Aug 2016Oleg MelnikovLoren H. RaunKatherine B. Ensor

The dynamic nature of air quality chemistry and transport makes it difficult to identify the mixture of air pollutants for a region. In this study of air quality in the Houston metropolitan area we apply dynamic principal component analysis (DPCA) to a normalized multivariate time series of daily concentration measurements of five pollutants (O3, CO, NO2, SO2, PM2.5) from January 1, 2009 through December 31, 2011 for each of the 24 hours in a day... (read more)

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