Year: 2016
Type: dissertation
Abstract: Fairbanks, AK experiences extreme winter pollution episodes that result in violations of the Fine Particulate (PM2.5)National Ambient Air Quality Standards and pose significant health risks for inhabitants.We analyzed the 2006-2014 wintertime (November 1 to the end of February) PM2.5 composition from four sampling sites in the Fairbanks North Star Borough (FNSB) to provide insight into sources and trends.We developed conversions for particulate carbon measurements that were sampled/analyzed with different methods to allow quantitative comparisons.Using these conversions, we found excellent mass closure between PM2.5 mass concentration reconstructed from particulate composition and directly measured PM2.5 mass concentration.The North Pole Fire Station #3 site (NPFS3) PM2.5 mass concentration is nearly double the concentration at other sites in the FNSB and significantly different (t-test on log normalized data, 95% conf.).We observe significant differences (t-test, 95% conf.) in the PM2.5 composition between the NPFS3 site and all other sites for most components.Comparison to source profiles indicates that the difference in SO42"/PM2.5 and organic carbon (OC)/PM2.5ratios is attributable to greater use of wood heat in the areas surrounding the NPFS3 site than in Fairbanks.This interpretation is supported by the results of the Home Heating Survey, which found a greater reported use of wood for heat in North Pole than in Fairbanks.Interannual variability is observed in the PM2.5 composition.The increase in fuel oil price in 2009 is correlated with an increase in OC/PM2.5 ratio and a decrease in the SO42"/PM2.5.The interannual variability of the SO42"/PM2.5 and NH4 +/PM2.5 ratios are correlated.The particles appear to be neutralized until 2010 when a drop in NH4 + is not accompanied by as large of a drop in anions leaving the particles acidic.The mean sulfur oxidation ratio is 5%, attributable to primary and possible secondary oxidation of SO2.The results of our analysis supports modeling results that wood
Author: K. Nattinger
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: green
OpenAlex ID: W2562335827