Statistical prediction model of the outdoor / indoor air pollutant transfer

Efficient control of ventilation systems needs information on indoor air pollutant concentration. But most of the time, the pollutant concentration is not measured. However, outdoor air pollution forecast models are becoming operational and a relation between outdoor and indoor pollutant concentration may be used to predict pollutant concentration peaks and to infer recommendations to reduce its value . A prediction model of the outdoor/indoor air pollutant transfer, based on experimental data, was obtained using multiple linear regression.

Indoor chemistry involving O3, NO, and NO2 as evidenced by 14 months of measurements at a site in Southern California.

For more than 1 year, indoor and outdoor O3, NO, N02 (NOx - NO), temperature, and relative humidity as well as the air exchange rate have been measured continuously at a commercial building in Burbank, CA. The indoor concentration of a given pollutant is a function of its outdoor level, the air exchange rate, the rate at which it is removed by indoor surfaces, and the rate at which it is produced or removed by indoor chemistry. Several examples of indoor chemistry are inferred from daily and seasonal variations in the collected data.