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Abstract

A usual method for studying the effective penetration efficiency of pollutants into buildings consists in performing a linear regression of outdoor and indoor samples. But, because of the dynamic relationship between outdoor and indoor concentrations, this method requires either long-term averages or steady-state conditions. Other methods use dynamic models but these normally require the knowledge of model parameters, such as the ventilation rate. This paper presents a state-space model analysis method that can be used for transient samples and doesn't require the knowledge of model parameters. It was used to study PM_2.5 and CO in Fairbanks, Alaska. The effective penetration efficiency for PM_2.5 ranged from 0.16 to 0.69, and was close to unity for CO. The outdoor generated PM_2.5 was responsible in average for about 67% of the indoor PM_2.5 in residences, and close to 100% in office environments.

Keywords

State space Air quality Particulates Carbon monoxide Penetration Model

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Use of a State Space Model to Study the Effect of Outdoor Air Quality on Indoor Air in Fairbanks Alaska

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