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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26588 PARADELO_PEREZ_New_Method_To_Trace_Colloid_Transport_Pathways_In_Macroporous_Soils_(AAM)_2018.pdf - Accepted Version Download (1MB) | Preview |
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 |
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Uncontrolled Keywords: | particulate tracer, pore connectivity, preferential pathways, tillage, x-ray computed tomography |
Subjects: | S Agriculture > S Agriculture (General) |
Faculty / School / Research Centre / 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 |
URI: | http://gala.gre.ac.uk/id/eprint/26588 |
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