Traffic-related ultrafine particles (UFP; <100 nanometers diameter)
are ubiquitous in urban air. While studies have shown that UFP are toxic,
epidemiological evidence of health effects, which is needed to inform risk
assessment at the population scale, is limited due to challenges of accurately
estimating UFP exposures. Epidemiologic studies often use empirical models to
estimate UFP exposures; however, the monitoring strategies upon which the models
are based have varied between studies. Our study compares particle number
concentrations (PNC; a proxy for UFP) measured by three different monitoring
approaches (central-site, short-term residential-site, and mobile on-road
monitoring) in two study areas in metropolitan Boston (MA, USA). Our objectives
were to quantify ambient PNC differences between the three monitoring platforms,
compare the temporal patterns and the spatial heterogeneity of PNC between the
monitoring platforms, and identify factors that affect correlations across the
platforms. We collected >12,000 hours of measurements at the central sites,
1,000 hours of measurements at each of 20 residential sites in the two study
areas, and >120 hours of mobile measurements over the course of ~1 year in
each study area. Our results show differences between the monitoring strategies:
mean one-minute PNC on-roads were higher (64,000 and 32,000
particles/cm3 in Boston and Chelsea, respectively) compared to
central-site measurements (23,000 and 19,000 particles/cm3) and both
were higher than at residences (14,000 and 15,000 particles/cm3).
Temporal correlations and spatial heterogeneity also differed between the
platforms. Temporal correlations were generally highest between central and
residential sites, and lowest between central-site and on-road measurements. We
observed the greatest spatial heterogeneity across monitoring platforms during
the morning rush hours (06:00–09:00) and the lowest during the overnight
hours (18:00–06:00). Longer averaging times (days and hours vs. minutes)
increased temporal correlations (Pearson correlations were 0.69 and 0.60 vs.
0.39 in Boston; 0.71 and 0.61 vs. 0.45 in Chelsea) and reduced spatial
heterogeneity (coefficients of divergence were 0.24 and 0.29 vs. 0.33 in Boston;
0.20 and 0.27 vs. 0.31 in Chelsea). Our results suggest that combining
stationary and mobile monitoring may lead to improved characterization of UFP in
urban areas and thereby lead to improved exposure assignment for epidemiology
studies.