Swimming-induced non-Fickian transport of bacteria in porous media Article Swipe
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· 2020
· Open Access
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· DOI: https://doi.org/10.5194/egusphere-egu2020-8928
· OA: W3149705063
<p>Progress in experimental techniques and imaging methods have led to a leap in the understanding of <br>microscopic transport and swimming mechanisms of motile particles in porous media. This is very different <br>for the understanding and characterization of large scale transport behaviors, which result from the <br>interaction of motility with flow and medium heterogeneity, and the upscaling of microscale behaviors. <br>Only few works have investigated large scale dispersion of active particles in porous media, <br>which mainly operate in the framework of Brownian dynamics and effective dispersion or <br>are completely data driven. In this work, we use the particle tracking data of Creppy et al. [1] <br>to derive the stochastic dynamics of small scale particle motion due to hydrodynamic flow variability <br>and the swimming activity of bacteria. These stochastic rules are used to derive a <br>continous time random walk (CTRW) based model for bacteria motion. The CTRW naturally accounts for <br>persistent advective motion along streamlines [2]. In this framework, particle motility is modeled <br>through a subordinated Ornstein-Uhlenbeck process that accounts for the impact of rotational diffusion on <br> particle motion in the fluid, and a compound Poisson process that accounts for the motion toward and around <br>grains. The upscaled transport framework can be parameterized by the distribution of the Eulerian <br>pore velocities, and the motility rules of the bacteria. The model predicts the propagators of the <br>ensemble of bacteria as well as their center of mass position and dispersion for bacteria transport under different<br>flow rates. </p><p>[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.</p><p>[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.</p>