Journal
GEOPHYSICAL RESEARCH LETTERS
Volume 41, Issue 21, Pages 7560-7565Publisher
AMER GEOPHYSICAL UNION
DOI: 10.1002/2014GL061800
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Funding
- National Science Foundation (NSF) [EAR-0738938, EAR-0738955]
- Division Of Earth Sciences
- Directorate For Geosciences [1344280] Funding Source: National Science Foundation
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Successful prediction of groundwater flow and solute transport through highly heterogeneous aquifers has remained elusive due to the limitations of methods to characterize hydraulic conductivity (K) and generate realistic stochastic fields from such data. As a result, many studies have suggested that the classical advective-dispersive equation (ADE) cannot reproduce such transport behavior. Here we demonstrate that when high-resolution K data are used with a fractal stochastic method that produces K fields with adequate connectivity, the classical ADE can accurately predict solute transport at the macrodispersion experiment site in Mississippi. This development provides great promise to accurately predict contaminant plume migration, design more effective remediation schemes, and reduce environmental risks.
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