Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31164
Title: Bayesian assessments for acceptable airborne bacteria levels in air-conditioned spaces
Authors: Wong, LT 
Mui, KW 
Hui, PS
Chan, WY
Keywords: Air-conditioned space
Airborne bacteria level
Bayesian assessment
Humidity
Temperature
Issue Date: 2008
Publisher: SAGE Publications
Source: Indoor and built environment, 2008, v. 17, no. 1, p. 80-86 How to cite?
Journal: Indoor and built environment 
Abstract: The level of indoor airborne bacteria is usually selected as a reference to identify the cleanliness of a Heating, Ventilating and Air-Conditioning system. This study proposes an epistemic approach for assessing acceptance of air-conditioned spaces against certain acceptable airborne bacteria levels. From the thermal environmental conditions and a sample test of the airborne bacteria level, the assessment model can give a rapid estimation of the probability of an unsatisfactory indoor environment. An office having a higher risk of unsatisfactory Indoor Air Quality (IAQ) would require a lower sample test value to fulfill the IAQ acceptance at certain confidence level. The model parameters were determined from databases of 529 air-conditioned spaces in Hong Kong, with airborne bacteria levels ranging from 41 to 2304 CFU·m -3, air temperatures from 13.4 to 27.8°C and relative humidities from 29 to 88%. This model would be useful to policymakers for making a fast response to the microbiological pollutant problem while avoiding an inappropriate level of reliance on the results.
URI: http://hdl.handle.net/10397/31164
ISSN: 1420-326X
EISSN: 1423-0070
DOI: 10.1177/1420326X07086223
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