MONTE-CARLO MODELING OF TIME-DEPENDENT EXPOSURES USING A MICROEXPOSURE EVENT APPROACH

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 a verage dose rates for specific individuals. In general, these research ers have modeled long-term exposures using simple dose rate equations which assume that individuals are exposed to a single environmental co ncentration at a constant rate over a specified exposure duration. Thi s paper presents an alternative approach for modeling long-term averag e exposures called microexposure event modeling which addresses a numb er of shortcomings in traditional dose rate equations. The paper discu sses the limitations of the traditional dose rate equation, presents a description of the methodology, and illustrates advantages of the app roach with a case study.