English

A simplified indoor air quality (IAQ) model has been applied to predict IAQ in an Australian house, using environmental chamber measurements of source strengths, house ventilation and room size. Total volatile organic compounds (TVOCs) was used as the model pollutant in this study. The validity of the IAQ model was initially assessed by comparing model predictions with measurements in the house over a period of time. The root mean square error between the measured and predicted values was 0.039. This model explains 57% of the potential for error.

This paper characterizes the relationship between occupant activities and indoor air particulate levels in a non-smoking office building. Occupant activities were recorded on video. Particulate concentrations were monitored by three optical particle counters (OPCs) in five size ranges at three heights. Particulate mass concentrations were measured gravimetrically and bioaerosol concentrations were determined by impaction methods. Occupant activities and number concentrations were determined with 1-min resolution over a 1-week period.

A survey of the particle-size distribution of 17 polycyclic aromatic hydrocarbons (PAHs) in indoor and outdoor air was performed in 20 homes in several Japanese cities. Highest PAH concentrations were found in the fine-particle fraction (smaller than 2.5 μm in diameter). The pro· portion of indoor PAH concentrations in fine particles was found to be higher than that of outdoors.

A series of bioaerosol measurements have been conducted at two typical offices in Hong Kong for both a 4-day and a weekly period. Both the investigated offices were installed with heating ventilation and air-conditioning (HV AC) systems coupling with air handling units and fan coil units. Measurements were performed starting from early morning by the Anderson N6 impactor.