Mathematical Modeling of Indoor Air Contaminant Concentrations

Several physical-chemical mathematical models have been popularized as an exposure estimation method for occupational indoor air contaminants. Although direct air sampling is preferred traditionally, there are situations in which monitoring is not feasible. In such cases, mathematical modeling has been developed to estimate exposure intensity. Because modeling is theoretical and based on explicit assumptions, many occupational hygienists believe that modeling exposure estimates are too uncertain. The present study finds that the air sampling needs a statistical approach that eliminates investigator bias. The three elements of a physical-chemical model have also been addressed. Keywords: indoor air contaminants; statistical analysis; dispersion pattern; well-mixed room (WMR)