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January 2022

Monte Carlo modeling of time-dependent exposures using a microexposure event approach

Author(s): Curry, C. L., Goodrum, P. E., Gray, M. N., Mccrodden, J. I., Harrington, N. W., Carlsonlynch, H., Keenan, R. E.

Journal/Book: Risk Anal. 1996; 16: 233 Spring St, New York, NY 10013. Plenum Publ Corp. 339-348.

Abstract: Over the last 10 years, a number of researchers have used Monte Carlo analysis 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.

Note: Article PS Price, Chemrisk, 1685 Congress St, Portland, ME 04102 USA

Keyword(s): Monte Carlo; modeling; variability; exposure; methodology; microexposure; RISK ASSESSMENT; UNCERTAINTY


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