Monte Carlo Modeling of Time‐Dependent Exposures Using a Microexposure Event Approach

Paul S. Price, Cynthia L. Curry, Philip E. Goodrum, Michael N. Gray, Jane I. McCrodden, Natalie W. Harrington, Heather Carlson‐Lynch and Russell E. Keenan

Risk Analysis, 1996, vol. 16, issue 3, 339-348

Abstract: Over the last 10 years, a number of researchers have used Monte Carlo analysts to investigate the variation in long‐term average dose rates in exposed populations and the uncertainty in estimates of long‐term average dose rates for specific individuals. In general, these researchers have modeled long‐term exposures using simple dose rate equations which assume that individuals are exposed to a single environmental concentration at a constant rate over a specified exposure duration. This paper presents an alternative approach for modeling long‐term average exposures called microexposure event modeling which addresses a number of shortcomings in traditional dose rate equations. The paper discusses the limitations of the traditional dose rate equation, presents a description of the methodology, and illustrates advantages of the approach with a case study.

Date: 1996
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https://doi.org/10.1111/j.1539-6924.1996.tb01468.x

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Persistent link: https://EconPapers.repec.org/RePEc:wly:riskan:v:16:y:1996:i:3:p:339-348

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