Predicting flow and transport in highly heterogeneous alluvial aquifers

Dogan, Mine, Van Dam, Remke L., Liu, Gaisheng, Meerschaert, Mark M., Butler, James J., Bohling, Geoffrey C., Benson, David A., & Hyndman, David W. (2014) Predicting flow and transport in highly heterogeneous alluvial aquifers. Geophysical Research Letters, 41(21), pp. 7560-7565.

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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. Key Points Non-Gaussian transport behavior at the MADE site is unraveledADE can reproduce tracer transport in heterogeneous aquifers with no calibrationNew fractal method generates heterogeneous K fields with adequate connectivity

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9 citations in Scopus
5 citations in Web of Science®
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ID Code: 80124
Item Type: Journal Article
Refereed: Yes
DOI: 10.1002/2014GL061800
ISSN: 00948276
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Blackwell Publishing Ltd
Deposited On: 15 Jan 2015 03:31
Last Modified: 23 Jun 2017 17:01

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