HR: 14:55h
AN: H43H-06    [Abstracts]
TI: Stochastic Analysis of Partial DNAPL Mass Reduction in a Highly Heterogeneous Glaciofluvial Aquifer
AU: Maji, R
EM: rmaji@uwaterloo.ca
AF: Department of Earth Sciences, University of Waterloo, University of Waterloo, 200 University Avenue West., Waterloo, ON N2L 3G1 Canada
AU: * Sudicky, E
EM: sudicky@sciborg.uwaterloo.ca
AF: Department of Earth Sciences, University of Waterloo, University of Waterloo, 200 University Avenue West., Waterloo, ON N2L 3G1 Canada
AB: Predictions of the impact of partial mass removal at DNAPL contaminated sites in achieving regulatory compliance goals, as measured in terms of aqueous-phase mass fluxes and contaminant concentrations at a down-gradient boundary, have largely been made using analytical models that are based on a number of simplifying assumptions [e.g., Sale and McWhorter, 2001; Rao et al., 2001; Soga et al., 2004; Falta, 2004]. In this paper, we will make use of a multiphase compositional model to explore the relative times predicted for complete depletion of the DNAPL source due to natural dissolution in a highly heterogeneous aquifer, and if significant environmental benefits can be achieved through DNAPL-zone source removal via enhanced remedial technologies. To gain insight into the implications of various representations of the local-scale kinetic DNAPL-dissolution process, aquifer heterogeneity and the complex architecture of a DNAPL source zone, the aqueous-phase contaminant concentrations and mass fluxes arriving at a down-gradient compliance boundary will be analyzed in a conditional stochastic framework. The hydrogeologic setting upon which the high-resolution simulations are based is a heterogeneous fluvial aquifer in South West Germany, referred to as the aquifer-analog dataset. The aquifer was intensively characterized in three dimensions by the researchers at the University of Tbingen, Germany, for hydrogeological parameters that include permeability, effective porosity, grain size, mineralogy and sorption coefficients.
DE: 1800 HYDROLOGY
DE: 1829 Groundwater hydrology
DE: 1832 Groundwater transport
DE: 1869 Stochastic processes
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting