Human Health Exposure Simulation Software Development
An Exponent scientist developed a statistical procedure that used survey data to estimate angler activities on a polluted river. The procedure estimated exposure factors necessary to illustrate the fish consumption pathway in a human health risk analysis. The estimates would be suitable for EPA-type risk assessments. Since the statistical estimation procedure used non-standard survey data and since the true characteristics of the angler population were unknown, we were interested in a way to check the procedure’s accuracy.
We developed a Windows-based Monte Carlo simulation program that generated angler populations of varying sizes and fishing characteristics. This allowed the scientist who developed the statistical procedure to test it against known populations generated by the simulation. The results verified the accuracy of the procedure and validated the original methods it incorporated.