Use of multi- parameter sensitivity analysis to determine relative importance of factors influencing natural attenuation of mining contaminants
نویسندگان
چکیده
Combining multi-Parametric Sensitivity Analysis (MPSA) with stream transport modeling is proposed to determine the relative importance of physical and biogeochemical processes controlling natural attenuation of contaminants. The MPSA is based on a large number of Monte-Carlo simulations to identify the sensitive parameters over a broad range of each parameter. This combined approach is applied to the transport of a mining contaminant, dissolved manganese in Pinal Creek basin, Arizona. The MPSA results show that transport of dissolved Mn(II) in Pinal Creek is controlled mainly by ground-water inflow, resulting spatial variation of pH in stream water, and the effect of pH on microbially mediated Mn(II) oxidation in the hyporheic zone.
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