Characterization of coarse particulate matter in the western United States: A comparison between observation and modeling

The observed results were compared to modeled PM10-2.5 concentrations from an annual simulation using the Community Multiscale Air Quality modeling system (CMAQ) that has been designed for regulatory or policy assessments of a variety of pollutants including PM10, which consists of PM10-2.5 and fine particulate matter (PM2.5). The model under-predicts PM10-2.5 observations at 49 of 50 sites, among which 14 sites have annual observation means that are at least five times greater than model means.

Model results also fail to reproduce their spatial patterns. Important sources (e.g. pollen, bacteria, fungal spores, and geogenic dust) were not included in the emission inventory used and/or the applied emissions were greatly under-estimated. Unlike the observed patterns that are more complex, modeled PM10-2.5 concentrations show the similar seasonal, weekly, and diurnal pattern; the temporal allocations in the modeling system need improvement.

CMAQ does not include organic materials in PM10-2.5; however, speciation measurements show that organics constitute a significant component. The results improve our understanding of sources and behavior of PM10-2.5 and suggest avenues for future improvements to models that simulate PM10-2.5 emissions, transport and fate.