ABSTRACT
The ESIA relied on an Atmospheric Dispersion Modeling System (ADMS software version 4.1) to predict inhalable arsenic as PM10. Bi-directional dust sampling stations are located around the site including strategic points in the town. Model predictions and measured As concentrations (μg/m3) in the inhalable dust fraction were compared in a preliminary validation of model predictions at the presumptively highest (smelter boundary) and least (south side) exposed sites within the town. Model interval estimates were taken as the predicted point estimate −50% and +200%. Measured value arithmetic means and their 95% confidence intervals were based on 4 measurements per month at each site providing a monthly average over one year and 22 months respectively.
