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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; in revised form: / Accepted: 5 February 2009 / Published: 11 February 2009
Abstract: 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.
Keywords: Exposure assessment; Bayesian methods; area concentration
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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.
He Y, Liang Y, Fu H. Application of Bayesian Methods to Exposure Assessment of Area Concentrations at a Rubber Factory. International Journal of Environmental Research and Public Health. 2009; 6(2):622-634.
He, Yonghua; Liang, Youxin; Fu, Hua. 2009. "Application of Bayesian Methods to Exposure Assessment of Area Concentrations at a Rubber Factory." Int. J. Environ. Res. Public Health 6, no. 2: 622-634.