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- W1010576657 abstract "A large-scale natural-gradient tracer experiment conducted in a highly heterogeneous aquifer at the Macrodispersion Experiment (MADE-2) site on Columbus Air Force Base in Mississippi, USA, is simulated using a new 3-D stochastic inverse modelling technique for the construction of transmissivity (T) fields in a non-multiGaussian framework, which is based on the gradual deformation method. The method, as presented in this study, can adopt any random function model defined by the local conditional cumulative density functions (ccdfs) and the spatial structure is determined by the probability fields. Moreover, it is also able to include secondary data obtained from expert judgment or from geophysical surveys. The method has succeeded where many other investigations have failed. The new methodology implements a dual-domain mass transfer approach that, together with conditioning to T data, transient pressures (p) and concentration (c) data, in a non-multiGaussian approach, has allowed the reproduction of the heavy tailing of the tracer plume as observed in the field. This also illustrates the importance of preferential flow paths on the anomalous tracer plume spreading at the MADE site. Besides, an uncertainty assessment of contaminant transport has been carried out using the Monte Carlo method with the aid of the stochastic models." @default.
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- W1010576657 date "2008-01-01" @default.
- W1010576657 modified "2023-09-24" @default.
- W1010576657 title "A new approach for the stochastic inversion of flow and transport data: application to the macrodispersion experiment (MADE-2) site." @default.
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