Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19929
Title: A statistical model for characterizing common air pollutants in air-conditioned offices
Authors: Wong, LT 
Mui, KW 
Hui, PS
Keywords: Air-conditioned offices
Indoor air quality
Representative pollutants
Sampling protocol
Issue Date: 2006
Publisher: Pergamon Press
Source: Atmospheric environment, 2006, v. 40, no. 23, p. 4246-4257 How to cite?
Journal: Atmospheric environment 
Abstract: Maintaining acceptable indoor air quality (IAQ) for a healthy environment is of primary concern, policymakers have developed different strategies to address the performance of it based on proper assessment methodologies and monitoring plans. It could be cost prohibitive to sample all toxic pollutants in a building. In search of a more manageable number of parameters for cost-effective IAQ assessment, this study investigated the probable correlations among the 12 indoor environmental parameters listed in the IAQ certification scheme of the Hong Kong Environment Protection Department (HKEPD) in 422 Hong Kong offices. These 12 parameters consists of nine indoor air pollutants: carbon dioxide (CO2), carbon monoxide (CO), respirable suspended particulates (RSP), nitrogen dioxide (NO2), ozone (O3), formaldehyde (HCHO), total volatile organic compounds (TVOC), radon (Rn), airborne bacteria count (ABC); and three thermal comfort parameters: temperature (T), relative humidity (RH) and air velocity (V). The relative importance of the correlations derived, from largest to smallest loadings, was ABC, Rn, CO, RH, RSP, CO2, TVOC, O3, T, V, NO2 and HCHO. Together with the mathematical expressions derived, an alternative sampling protocol for IAQ assessment with the three 'most representative and independent' parameters namely RSP, CO2 and TVOC measured in an office environment was proposed. The model validity was verified with on site measurements from 43 other offices in Hong Kong. The measured CO2, RSP and TVOC concentrations were used to predict the probable levels of the other nine parameters and good agreement was found between the predictions and measurements. This simplified protocol provides an easy tool for performing IAQ monitoring in workplaces and will be useful for determining appropriate mitigation measures to finally honor the certification scheme in a cost-effective way.
URI: http://hdl.handle.net/10397/19929
ISSN: 1352-2310
EISSN: 1873-2844
DOI: 10.1016/j.atmosenv.2006.04.005
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