Stationary PM 2.5 and PM 10 monitors positioned at the ceiling-mounted ventilation exhaust in vicinity of the seated reference participant accurately estimated inhalation exposure (adjusted R² = 0.91 and R² = 0.87). Segregating data onto sitting and standing activities could lead to improved accuracy of exposure estimation model for CO 2 and PM by 9–60% during sitting activities, relative to combined activities. The results were compared with the concurrent IAQ measurements in the breathing zone of a reference participant by means of multiple linear regression (MLR) analysis with a combination of different input parameters.
A ground-truth of occupancy was obtained from video recordings of network cameras. Three proxy sensing techniques were examined: stationary indoor air quality (IAQ) monitoring, individual monitoring of physiological status by wearable wristband, human presence detection by Passive Infrared (PIR) sensors. In a controlled climate chamber mimicking four different office setups, human participants performed a set of scripted sitting and standing office activities. We aimed to examine the feasibility of several proxy methods for estimating inhalation exposure to CO 2, PM 2.5, and PM 10 in simulated office environments. Methods for assessing inhalation exposures indoors have been restricted to stationary air pollution measurements, typically assuming steady-state conditions. Modern health concerns related to air pollutant exposure in buildings have been exacerbated owing to several factors.
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