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.
Highlights
Exposure assessment (EA) is often necessary for epidemiologic research [1]
If e represents the physical parameter of interest, and the measurement process furnishes a number represented by
The present study takes benzene as an example to assess exposure levels with Bayesian methods based on historical area concentration measurements taken to evaluate MAC compliance
Summary
Exposure assessment (EA) is often necessary for epidemiologic research [1]. EA methods are the foundation for establishing reasonable data for human dose-response (effect) relationships. Subjective assessments for reconstructing exposure have been used [3], but most options are prone to a variety errors and biases [1,4]
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