EGU2020-8928
https://doi.org/10.5194/egusphere-egu2020-8928
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Swimming-induced non-Fickian transport of bacteria in porous media

Marco Dentz1, Harold Auradou2, Adama Creppy2, Eric Clément3, and Douarche Carine2
Marco Dentz et al.
  • 1Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Department of Geosciences, Barcelona, Spain (marco.dentz@gmail.com)
  • 2Laboratoire FAST, Univ. Paris-Sud, CNRS, Université Paris-Saclay, F-91405, Orsay, France.
  • 3Physique et Mécanique des Milieux Hétérogenes (UMR 7636 ESPCI/CNRS/Univ. P.M. Curie/Univ. Paris-Diderot), 10 rue Vauquelin, 75005 Paris, France

Progress in experimental techniques and imaging methods have led to a leap in the understanding of 
microscopic transport and swimming mechanisms of motile particles in porous media. This is very different 
for the understanding and characterization of large scale transport behaviors, which result from the 
interaction of motility with flow and medium heterogeneity, and the upscaling of microscale behaviors. 
Only few works have investigated large scale dispersion of active particles in porous media, 
which mainly operate in the framework of Brownian dynamics and effective dispersion or 
are completely data driven. In this work, we use the particle tracking data of Creppy et al. [1] 
to derive the stochastic dynamics of small scale particle motion due to hydrodynamic flow variability 
and the swimming activity of bacteria. These stochastic rules are used to derive a 
continous time random walk (CTRW) based model for bacteria motion. The CTRW naturally accounts for 
persistent advective motion along streamlines [2]. In this framework, particle motility is modeled 
through a subordinated Ornstein-Uhlenbeck process that accounts for the impact of rotational diffusion on 
 particle motion in the fluid, and a compound Poisson process that accounts for the motion toward and around 
grains. The upscaled transport framework can be parameterized by the distribution of the Eulerian 
pore velocities, and the motility rules of the bacteria. The model predicts the propagators of the 
ensemble of bacteria as well as their center of mass position and dispersion for bacteria transport under different
flow rates. 

[1] A. Creppy, E. Clément, C. Douarche, M. V. D’Angelo, and H. Auradou. Effect of motility on the transport of bacteria populations through a porous medium. Phys. Rev. Fluids, 4(1), 2019.

[2] M. Dentz, P. K. Kang, A. Comolli, T. Le Borgne, and D. R. Lester. Continuous time random walks for the evolution of Lagrangian velocities. Physical Review Fluids, 1(7):074004, 2016.

How to cite: Dentz, M., Auradou, H., Creppy, A., Clément, E., and Carine, D.: Swimming-induced non-Fickian transport of bacteria in porous media, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8928, https://doi.org/10.5194/egusphere-egu2020-8928, 2020

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