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A new method to trace colloid transport pathways in macroporous soils using X‐ray computed tomography and fluorescence macrophotography

A new method to trace colloid transport pathways in macroporous soils using X‐ray computed tomography and fluorescence macrophotography

Soto-Gomez, Diego, Perez-Rodriguez, Paula, Vazquez Juiz, Laura, Lopez-Periago, Jose Eugenio and Paradelo Perez, Marcos ORCID: 0000-0002-2768-0136 (2018) A new method to trace colloid transport pathways in macroporous soils using X‐ray computed tomography and fluorescence macrophotography. European Journal of Soil Science, 70 (3). pp. 431-442. ISSN 1351-0754 (Print), 1365-2389 (Online) (doi:https://doi.org/10.1111/ejss.12783)

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Abstract

The fast and deep percolation of particles through soil is attributed to preferential flow pathways, and their extent can be critical in the filtering of particulate pollutants in soil. Particle deposition on the pore walls and transport between the pores and matrix modulate the preferential flow of particulate pollutants. In the present research, we developed a novel method of combining fluorescence macrophotography and X‐ray computed tomography (CT) to track preferential pathways of colloidal fluorescent microspheres (MS) in breakthrough experiments. We located accumulations of MS by fluorescence imaging and used them to delimit the deposition structures along the preferential colloid pathways by superimposing these images on the 3‐D pore network obtained from CT. Advection–diffusion with transport parameters from the dual‐porosity equation correlated with preferential pathway features across different soil management techniques. However, management did not influence the morphology of the MS preferential pathways. Preferential flow occurred in only a small fraction of the total pore network and was controlled by pores connected to the soil surface and by matrix density.

Item Type: Article
Uncontrolled Keywords: particulate tracer, pore connectivity, preferential pathways, tillage, x-ray computed tomography
Subjects: S Agriculture > S Agriculture (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department
Last Modified: 25 Jan 2021 12:05
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/26588

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