Physical Sciences and Mathematics Commons^™

Multivariate Statistical Analyses Of Air Pollutants And Meteorology In Chicago During Summers 2010–2012, Katrina Binaku, Martina Schmeling

Chemistry: Faculty Publications and Other Works

Aerosol, trace gas, and meteorological data were collected in Chicago, Illinois during 2010–2012 summer air studies. Ozone, nitrogen oxides, acetate, formate, chloride, nitrate, sulfate, and oxalate concentrations as well as temperature, wind speed, wind direction, and humidity data were explored by both principal component analysis (PCA) and canonical correlation analysis (CCA). Multivariate statistical techniques were applied to uncover existing relationships between meteorology and air pollutant concentrations and also reduce data dimensions.

In PCA, principal components (PC) revealed a relationship of ozone and nitrate concentrations with respect to temperature and humidity, coupled with transport of species from the south in relation …

Investigation Of Chicago Air Pollution And Meteorological Influence On Pollution Development: Physical Measurements And Multivariate Statistical Analyses, Katrina Lyn Binaku

Dissertations

The goal of this project was to evaluate air pollutants and meteorology in Chicago, Illinois during summers 2010, 2011, and 2012. Sixty-six collection days of air pollutant and meteorological data were completed at the Loyola University Chicago sampling station atop Mertz Hall. Trace gases, nitrogen oxides and ozone, as well as the water-soluble fraction of aerosol material were the air pollutants of focus in this study. Data analysis showed that chloride, nitrate, sulfate, and oxalate were the most frequently quantified water-soluble ions in aerosol samples, followed by acetate, formate, potassium, phosphate, calcium, and magnesium ions. Ionic ratios showed that stationary …

Statistical Analysis Of Aerosol Species, Trace Gases, And Meteorology In Chicago, Katrina Binaku, Timothy O'Brien, Martina Schmeling, Tinamarie Fosco

Chemistry: Faculty Publications and Other Works

Both canonical correlation analysis (CCA) and principal component analysis (PCA) were applied to atmospheric aerosol & trace gas concentrations and meteorological data collected in Chicago during the summer months of 2002, 2003, and 2004. Concentrations of ammonium, calcium, nitrate, sulfate, and oxalate particulate matter, as well as, meteorological parameters temperature, wind speed, wind direction, and humidity were subjected to CCA & PCA. Ozone and nitrogen oxide mixing ratios were also included in the data set. The purpose of statistical analysis was to determine the extent of existing linear relationship(s), or lack thereof, between meteorological parameters and pollutant concentrations in addition …