Journal
GEOPHYSICAL RESEARCH LETTERS
Volume 47, Issue 22, Pages -Publisher
AMER GEOPHYSICAL UNION
DOI: 10.1029/2020GL088292
Keywords
dispersion; heterogeneous media; upscaling; time‐ domain random walks; continuous time random walks; stochastic modeling
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Funding
- European Research Council [617511]
- Spanish Ministry of Science and Innovation [CEX2018-000794-S, PID2019-106887GB-C31, RYC-2017-22300]
- Prodex
- European Research Council (ERC) [617511] Funding Source: European Research Council (ERC)
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We present an upscaled Lagrangian approach to predict the plume evolution in highly heterogeneous aquifers. The model is parameterized by transport-independent characteristics such as the statistics of hydraulic conductivity and the Eulerian flow speed. It can be conditioned on the tracer properties and flow data at the injection region. Thus, the model is transferable to different solutes and hydraulic conditions. It captures the large-scale non-Gaussian features for the evolution of the longitudinal mass distribution observed for the bromide and tritium tracer plumes at the Macrodispersion Experiment (MADE) site (Columbus, Mississippi, USA), which are characterized by a slow moving peak and pronounced forward tailing. These large-scale features are explained by advective tracer propagation due to a broad distribution of spatially persistent Eulerian flow speeds as a result of spatial variability in hydraulic conductivity.
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