Feedback mechanisms between precipitation and dissolution reactions across randomly heterogeneous conductivity fields
<p>Our study investigates interplays between dissolution, precipitation, and transport processes taking place across randomly heterogeneous conductivity domains and the ensuing spatial distribution of preferential pathways. We do so by relying on a collection of computational analyses of react...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Copernicus Publications
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/553ee3ffc99a41fa9ed38531102d9c32 |
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| Sumario: | <p>Our study investigates interplays between dissolution, precipitation, and transport processes taking place across randomly heterogeneous
conductivity domains and the ensuing spatial distribution of preferential pathways. We do so by relying on a collection of computational analyses of
reactive transport performed in two-dimensional systems where the (natural) logarithm of conductivity is characterized by various degrees of spatial
heterogeneity. Our results document that precipitation and dissolution jointly take place in the system, with the latter mainly occurring along
preferential flow paths associated with the conductivity field and the former being observed at locations close to and clearly separated from
these. High conductivity values associated with the preferential flow paths tend to further increase in time, giving rise to a self-sustained
feedback between transport and reaction processes. The clear separation between regions where dissolution or precipitation takes place is imprinted
onto the sample distributions of conductivity which tend to become visibly left skewed with time (with the appearance of a bimodal behavior at some
times). The link between conductivity changes and reaction-driven processes promotes the emergence of non-Fickian effective transport features. The
latter can be captured through a continuous-time random-walk model where solute travel times are approximated with a truncated power law probability
distribution. The parameters of such a model shift towards values associated with increasingly high non-Fickian effective transport behavior as
time progresses.</p> |
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