||Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab. ;Information Systems and Sciences, Inc., Las Vegas, NV. ;Stanford Univ., CA. Dept. of Statistics.
The paper presents the theoretical and practical development of a multi-compartment indoor air quality model designed for predicting pollutant concentrations from environmental tobacco smoke (ETS) in the home. The model is developed using transfer functions for each compartment, thereby obtaining analytical solutions that can be expressed mathematically and do not require a computer. The input parameters to the model are the cigarette source emission rate, smoking activity patterns, room volumes, compartmental air exchange rates, and intercompartmental flow rates. Field experiments are conducted in an unoccupied home using a cigar and cigarettes as sources to evaluate the performance of the model, and real-time measurements are made in the home of carbon monoxide (CO), respirable suspended particles (RSP), and polycyclic aromatic hydrocarbons (PAH). The time series predicted from the equations by the model agree well with the concentration time series measured in the rooms of the home. The transfer function approach can be applied to any home simply by inspecting the floor plan and then writing the transfer functions by following simple rules. The experimental data show that the door and window positions in each room exert considerable influence on the pollutant concentrations observed in the home.