Predicting residential air exchange rates from questionnaires and meteorology: model evaluation in central North Carolina.
A critical aspect of air pollution exposure models is the estimation of the air exchange rate (AER) of individual homes, where people spend most of their time. The AER, which is the airflow into and out of a building, is a primary mechanism for entry of outdoor air pollutants and removal of indoor source emissions. The mechanistic Lawrence Berkeley Laboratory (LBL) AER model was linked to a leakage area model to predict AER from questionnaires and meteorology. The LBL model was also extended to include natural ventilation (LBLX). Using literature-reported parameter values, AER predictions from LBL and LBLX models were compared to data from 642 daily AER measurements across 31 detached homes in central North Carolina, with corresponding questionnaires and meteorological observations. Data was collected on seven consecutive days during each of four consecutive seasons. For the individual model-predicted and measured AER, the median absolute difference was 43% (0.17 h(-1)) and 40% (0.17 h(-1)) for the LBL and LBLX models, respectively. Additionally, a literature-reported empirical scale factor (SF) AER model was evaluated, which showed a median absolute difference of 50% (0.25 h(-1)). The capability of the LBL, LBLX, and SF models could help reduce the AER uncertainty in air pollution exposure models used to develop exposure metrics for health studies.
National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States. breen.michael@epa.gov
Michael S
MS
Breen
Miyuki
M
Breen
Ronald W
RW
Williams
Bradley D
BD
Schultz
D000392:Air Movements; D000393:Air Pollutants / Q000032:analysis*; D016902:Air Pollution, Indoor / Q000032:analysis / Q000706:statistics & numerical data*; D001272:Atmosphere / Q000737:chemistry; D004784:Environmental Monitoring / Q000379:methods*; D005544:Forecasting; D008685:Meteorological Concepts; D008956:Models, Chemical; D009657:North Carolina; D010316:Particle Size; D012621:Seasons; D011795:Surveys and Questionnaires
D000393:Air Pollutants