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Airborne infection probability in relation of room air distribution:an experimental investigation
The objective of this study was to investigate the importance of room air distribution in airborne cross-infection. Tracer gas measurements were performed in a field lab arranged as an office with two breathing thermal manikins. The room was ventilated with a mixing air distribution operating at a constant supply airflow rate of 60 L/s (4 ACH) under different air discharge scenarios: 2-way, 3-way and 4-way. Room air temperature was kept at 22.0±0.2°C. Respiratory-generated airborne pathogens were simulated by N 2 O dosed into the exhaled air of the manikin acting like an infected person. The N 2 O concentration was measured in the inhaled air of the second manikin (simulating susceptible person), exhaust and occupied zone. Measured values were used to calculate infection probability by modified Wells-Riley method. The infection probability in the occupied zone depended on the air discharge scenario. The highest infection probability of 2.9-3.9% was obtained in the inhaled air of the exposed manikin in all experimental cases. The results reveal that room air distribution is of major importance for airborne cross-infection. Therefore, during ventilation design and operation, air distribution should be carefully considered in practice. Infection probability calculated using original Wells-Riley method was underestimated compared to values obtained through measurements.
Airborne infection probability in relation of room air distribution:an experimental investigation
The objective of this study was to investigate the importance of room air distribution in airborne cross-infection. Tracer gas measurements were performed in a field lab arranged as an office with two breathing thermal manikins. The room was ventilated with a mixing air distribution operating at a constant supply airflow rate of 60 L/s (4 ACH) under different air discharge scenarios: 2-way, 3-way and 4-way. Room air temperature was kept at 22.0±0.2°C. Respiratory-generated airborne pathogens were simulated by N 2 O dosed into the exhaled air of the manikin acting like an infected person. The N 2 O concentration was measured in the inhaled air of the second manikin (simulating susceptible person), exhaust and occupied zone. Measured values were used to calculate infection probability by modified Wells-Riley method. The infection probability in the occupied zone depended on the air discharge scenario. The highest infection probability of 2.9-3.9% was obtained in the inhaled air of the exposed manikin in all experimental cases. The results reveal that room air distribution is of major importance for airborne cross-infection. Therefore, during ventilation design and operation, air distribution should be carefully considered in practice. Infection probability calculated using original Wells-Riley method was underestimated compared to values obtained through measurements.
Airborne infection probability in relation of room air distribution:an experimental investigation
Lipczynska, Aleksandra (author) / Bivolarova, Mariya P. (author) / Guo, Linxuan (author) / Kierat, Wojciech (author) / Melikov, Arsen K. (author)
2022-01-01
Lipczynska , A , Bivolarova , M P , Guo , L , Kierat , W & Melikov , A K 2022 , ' Airborne infection probability in relation of room air distribution : an experimental investigation ' , E3S Web of Conferences , vol. 356 , 05014 . https://doi.org/10.1051/e3sconf/202235605014
Article (Journal)
Electronic Resource
English
DDC:
690
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