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THE IMPACT OF WELL-FIELD CONFIGURATION AND PERMEABILITY HETEROGENEITY ON CONTAMINANT MASS REMOVAL AND PLUME PERSISTENCE
Guo, Z. and M.L. Brusseau.
Journal of Hazardous Materials 333:109-115(2017)
The impact of different well-field configurations on pump-and-treat mass removal in a heterogeneous subsurface was simulated in a 3D numerical model with the metric to examine remediation efficiency provided by the relationship between reduction in contaminant mass discharge (CMDR) and mass removal (MR). Systems whose CDMR-MR profiles were below the 1:1 relationship line were associated with more efficient well-field configurations. The impact of domain heterogeneity on mass-removal effectiveness was investigated in terms of both variance and correlation scale of the random permeability distributions and indexed by the CMDR-MR relationship. Pump-and-treat data from the Tucson International Airport Area federal Superfund site were obtained for comparison between simulated and measured site data. Results from the field data case study are consistent with the conclusions of the theoretical study, which supports the general validity of the numerical model. See additional information on this study in Appendix B of Z. Guo's dissertation at http://arizona.openrepository.com/arizona/handle/10150/578836
Journal of Hazardous Materials 333:109-115(2017)
The impact of different well-field configurations on pump-and-treat mass removal in a heterogeneous subsurface was simulated in a 3D numerical model with the metric to examine remediation efficiency provided by the relationship between reduction in contaminant mass discharge (CMDR) and mass removal (MR). Systems whose CDMR-MR profiles were below the 1:1 relationship line were associated with more efficient well-field configurations. The impact of domain heterogeneity on mass-removal effectiveness was investigated in terms of both variance and correlation scale of the random permeability distributions and indexed by the CMDR-MR relationship. Pump-and-treat data from the Tucson International Airport Area federal Superfund site were obtained for comparison between simulated and measured site data. Results from the field data case study are consistent with the conclusions of the theoretical study, which supports the general validity of the numerical model. See additional information on this study in Appendix B of Z. Guo's dissertation at http://arizona.openrepository.com/arizona/handle/10150/578836
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