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Int. J. Environ. Res. Public Health 2009, 6(2), 622-634; doi:10.3390/ijerph6020622

Application of Bayesian Methods to Exposure Assessment of Area Concentrations at a Rubber Factory

School of Public Health, Fudan University /Box 288, No 130, Dong’an Road, Shanghai 200032, PR China
Author to whom correspondence should be addressed.
Received: 10 December 2008 / Accepted: 5 February 2009 / Published: 11 February 2009
(This article belongs to the Special Issue Public Health: Feature Papers)
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The present study estimated area concentrations of airborne benzene in several workshops using Bayesian methods based on available historical measurements. A rubber products factory utilizing benzene was investigated. Historical measurements of benzene concentrations, expert experiences, and deterministic modeling were utilized in a Bayesian Method to estimate area concentrations. Historical concentrations (n=124) were available with the geometric mean of 15.3 mg/m3. The geometric mean of the current field measurements on the workstations ranged from 0.7 to 89.0 mg/m3. One of the seven historical geometric means by work locations significantly differed from the field measurements for equivalent locations, but none of the geometric means of Bayesian estimates were significantly different from the field measurement results. The Bayesian methods based on the historical measurements appeared to be a useful tool for more closely estimating area concentrations shown by field data than that predicted only using historical measurements. View Full-Text
Keywords: Exposure assessment; Bayesian methods; area concentration Exposure assessment; Bayesian methods; area concentration

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

He, Y.; Liang, Y.; Fu, H. Application of Bayesian Methods to Exposure Assessment of Area Concentrations at a Rubber Factory. Int. J. Environ. Res. Public Health 2009, 6, 622-634.

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