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

Autor: Price, Paul S., Curry, Cynthia L., Goodrum, Philip E., Gray, Michael N., McCrodden, Jane I., Harrington, Natalie W., Carison-Lynch, Heather, Keenan, Russell E.
Předmět:
Zdroj: Risk Analysis: An International Journal; Jun96, Vol. 16 Issue 3, p339-348, 10p
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index