The document discusses methods for identifying particulate matter (PM) events from time series monitoring data. It describes decomposing the temporal signal into seasonal, random noise, and event components. PM events are identified as spikes above a threshold, such as a percentile of the seasonal values. The analysis shows regional differences in the contribution of these components to total concentration variability and in the composition of identified PM events.