B068 Bayesian IAQ sampling

Applications of Bayesian assessment in indoor air quality (IAQ) sampling

Brief:

This study proposes a Bayesian assessment approach, which accounted the prior understanding of the test sample dissatisfaction probability and followed with a sample test result, to assess the IAQ acceptance against an action air pollutant level with the assessment uncertainties improved. In particular, an example of the Bayesian IAQ assessment for the indoor radon (Rn) exposure level in air-conditioned offices of Hong Kong was demonstrated to quantify the prior knowledge and the probable errors of various sampling methods for formulating the test radon levels, based on a cross-sectional and a year-round longitudinal measurement in an office. At an arbitrary allowable probability of ‘false positive’, one can confirm the area with ‘acceptable’ or ‘unacceptable’ environment or follow-up tests of acceptance required, with the test result from certain sampling schemes. This model would be useful for management in pollutant monitoring while the inappropriate level of reliance on the results could be avoided.

Further Information:

Wong LT, Mui KW, Hui PS, 2008. Applications of Bayesian assessment in indoor air quality (IAQ) sampling, The 11^th International Conference on Indoor Air Quality and Climate, 17-22 August, Copenhagen, Denmark, Paper ID 21.