Predictors of Ambient NO2 in North Seattle

1
Predictors of Ambient NO2 in North Seattle Tim
Gould, Courtney ONeill, Darren Wilton
University of Washington
Purpose The objective of this project is to
determine the most effective predictors of NO2
concentrations based on typically available
geographic parameters and field measurements at
25 sites throughout north Seattle. The ambient
samples were collected over a 2 week period using
passive Ogawa samplers as a pilot test of a
community NO2 saturation study for the UW MESA
Air Pollution Study during March of 2005.
North Seattle NO2 Concentrations
Summary This project analyzed the correlation
between NO2 concentrations and a number of
spatial parameters including traffic volumes,
street and arterial lengths, topography,
population and development density, as well as
income. The analysis was performed using ArcGIS
and the Statistical Toolbox in MatLab. The street
networks and arterials were the most effective
predictors of NO2 with the 1000 ft buffers of
both returning the highest correlations.