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The missing PM concentrations were imputed by taking the average of the previous and subsequent day's PM concentration.
After fitting the DLM of PM, an every-sixth-day PM time series was obtained by extracting every-sixth-day PM concentration from the daily PM time series.
We observed substantial variation in concentrated PM exposure reflecting the natural daily variation in PM concentration outside the facility.
MGO case Open image in new window Fig. 10 PM concentration.
The indoor PM concentration is generally a reflection of the outdoor concentration.
HFO case Open image in new window Fig. 11 PM concentration.
HFO-MGO case Open image in new window Fig. 12 PM concentration.
PM concentration distribution at every affected geographical point defined by a grid is computed.
The goal was achieved by detecting normal and anomalous diffusion in fluctuations of PM concentration.
In this sense, several intelligent systems have been proposed for forecasting the PM concentration.
In majority of cases we observed heterogeneous character of PM concentration dynamics.
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