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  5. Permeability–porosity model considering oxidative precipitation of Fe(II) in granular porous media

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Article
English
2024

Permeability–porosity model considering oxidative precipitation of Fe(II) in granular porous media

0 Datasets

0 Files

English
2024
Journal of Hydrology
Vol 636
DOI: 10.1016/j.jhydrol.2024.131346

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Guanxi Yan
Guanxi Yan

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Wenran Cao
Nike Hu
Guanxi Yan
+2 more

Abstract

Despite decades of research into the interactions between groundwater and seawater, the evolution of permeability produced by iron precipitation has received little attention, resulting in uncertain predictions of permeability in porous media. This study establishes a novel permeability–porosity model for estimating permeability considering the oxidative precipitation of Fe(II) in granular porous media. The accuracy of this model is validated by a series of sand column tests investigating iron precipitation driven by subsurface freshwater–saltwater mixing. The experiments showed a localized pattern of iron precipitation concentrated near the freshwater–saltwater interface in those columns, where a low-permeability zone with intensive precipitation was generated, subsequently leading to a decrease in sand permeability of 45%. Extracted samples analyzed by scanning electron microscopy showed quartz sand particles coated by iron precipitates. With those successful experiments, the newly developed model is validated and fully capable of estimating the sand permeability underlying this geochemical process, providing predictions to within an order of magnitude. The present experimental results and model predictions bring valuable insights into how the pore matrix of a granular porous media evolves during iron precipitation in the subsurface groundwater–seawater mixing zone.

How to cite this publication

Wenran Cao, Nike Hu, Guanxi Yan, Harald Hofmann, Alexander Scheuermann (2024). Permeability–porosity model considering oxidative precipitation of Fe(II) in granular porous media. Journal of Hydrology, 636, pp. 131346-131346, DOI: 10.1016/j.jhydrol.2024.131346.

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Publication Details

Type

Article

Year

2024

Authors

5

Datasets

0

Total Files

0

Language

English

Journal

Journal of Hydrology

DOI

10.1016/j.jhydrol.2024.131346

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