2017
DOI: 10.1007/s40710-017-0272-5
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Deep Vadose Zone Contaminant Flux Evaluation at the Hanford BY-Cribs Site Using Forward and Imposed Concentration Modeling Approaches

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Cited by 7 publications
(7 citation statements)
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“…Physical and hydraulic properties that were assigned to these units for flow and transport modeling are listed in Table 1. These parameters were based on prior modeling efforts and site characterization data (Oostrom et al 2013(Oostrom et al , 2017Rockhold et al 2018a, b). The parameters K sxx , K syy , and K szz are the saturated hydraulic conductivities in the x-, y-, and zdirections, respectively.…”
Section: Site Descriptionmentioning
confidence: 99%
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“…Physical and hydraulic properties that were assigned to these units for flow and transport modeling are listed in Table 1. These parameters were based on prior modeling efforts and site characterization data (Oostrom et al 2013(Oostrom et al , 2017Rockhold et al 2018a, b). The parameters K sxx , K syy , and K szz are the saturated hydraulic conductivities in the x-, y-, and zdirections, respectively.…”
Section: Site Descriptionmentioning
confidence: 99%
“…Contamination of unsaturated sediments and underlying aquifer systems is a problem at many industrial waste sites (Oostrom et al 2017;Kuras et al 2016). The interactions between biophysical and geochemical processes that occur within the highly heterogeneous vadose zone are difficult to visualize, which limits our understanding of how subsurface features and processes affect contaminant transport and fate (Binley et al 2015).…”
Section: Introductionmentioning
confidence: 99%
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“…For the time‐lapse simulations, the inverse modeling only solved for changes within the saturated zone. Assuming annual recharge remains relatively constant (Oostrom et al ), it is justified at this scale that the spatial delineation and precipitation inputs affecting bulk conductivity within the saturated zone also remain constant. To further constrain the time‐lapse inversion, decreases in conductivity within the saturated zone were penalized, subject to data fit, owing to the simulation‐based assumption that conductivity remains constant or increases over time within the ERI monitoring zone below the water table, and over the monitoring period.…”
Section: Simulation Detailsmentioning
confidence: 99%
“…We use a similar coupling of E4D with a flow and transport simulator to determine the feasibility of contaminant and remedial monitoring at a legacy nuclear waste facility, the Hanford 200 East Area B‐Complex in southeastern Washington State. Previous field hydrogeological and ERI studies have focused on the spatial distribution and transport of contaminants in the vadose zone, specifically nitrates due to the strong conductivity contrast with the native groundwater (Rucker and Fink ; Johnson and Wellman ; Oostrom et al ). No geophysical imaging field studies to date have focused on monitoring contaminant groundwater migration, owing in part to the water table being relatively deep (∼70 m below‐ground surface), which increases the infrastructure and implementation costs associated with ERI monitoring.…”
Section: Introductionmentioning
confidence: 99%