EGU2020-15591
https://doi.org/10.5194/egusphere-egu2020-15591
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Pore scale simulations of how mucilage alters connectivity of liquid and gas phase in the rhizosphere

Omid Esmaeelipoor Jahromi1, Jonas Bentz1, Adrian Haupenthal1, Ravi Patel2, and Eva Kroener1
Omid Esmaeelipoor Jahromi et al.
  • 1University of Koblenz-Landau, Environmental Science, Geophysics, Germany (jahromi@uni-landau.de)
  • 2Laboratory for Waste Management (LES), Paul Scherrer Institut, Villigen, Switzerland

Compared to bulk soil, rhizosphere has different properties because of the existence of root mucilage which affects the physical, chemical and also microbial processes. Hydraulic phenomena like limiting water flow at certain dry soil conditions, modulating extreme water contents by slow response to water potential changes; and also influencing solute transport and gas diffusion by varying the connectivity of liquid and gas phases are all classified under the set of the physical processes which are affected by mucilage in the rhizosphere.

Overview of the literature and previous models shows the lack of a three-dimensional pore-scale dynamic model for a better understanding of the connectivity between different phases during imbibition and drainage processes. A major challenge is that mucilage shows a complex behavior which at low concentrations is more like a liquid while at higher concentration when it is almost dry, it becomes a solid.

In particular, this study will use the Lattice Boltzmann method as a powerful tool for fluid dynamics study and the discrete element method for describing solids to present a pore-scale model for more accurate simulation and study of physical processes in the rhizosphere.

How to cite: Esmaeelipoor Jahromi, O., Bentz, J., Haupenthal, A., Patel, R., and Kroener, E.: Pore scale simulations of how mucilage alters connectivity of liquid and gas phase in the rhizosphere, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15591, https://doi.org/10.5194/egusphere-egu2020-15591, 2020

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Presentation version 1 – uploaded on 30 Apr 2020
  • CC1: Comment on EGU2020-15591, Sarah Garré, 04 May 2020

    Cool stuff Omid. Can you comment a bit on how you intend to couple the two different model approaches? These approaches are quite different, so how do you plan on creating and parameterizing the interface?

    • AC1: Coupling, Omid Esmaeelipoor Jahromi, 18 May 2020

      Thank you for the comment.

      Well, what is in my mind at the moment is to define a threshold concentration ( or even maybe a range ) so that for concentrations higher than the threshold, DEM be used and for lower, LBM.

      But it is just an idea and I have to try that.

      If there is any comment, question, or suggestion, please let me know.