Two Indoor Air Exposure Modeling Studies: CONTAM Modeling Results, and Serial Correlation Effects

摘要

Two studies are reported on factors influencing indoor pollution levels. In the first, two mass balance computer models, CONTAM87 and CONTAM88, were used to estimate indoor pollution levels for a hypothetical four story building exposed to measured outdoor ozone (O3) concentrations for a 24-hour period. The building contained 50 rooms; exterior rooms contained windows, interior rooms did not. Modeled indoor concentrations indicated that ozone levels generally decreased along a partial cross section from peripheral rooms actually experience lower ozone concentrations than interior rooms. CONTAM88 analysis also revealed that simple actions such as opening interior office doors could significantly change indoor ozone distribution. In the second, a sensitivity study was conducted to quantify the factors affecting serial correlation in the time series of indoor pollution levels. Further, the authors investigated in a very preliminary way the use of personal exposure monitoring data to infer the values of variables needed to estimate indoor concentrations, such as the rates of air exchange, pollutant removal, and pollutant generation.