EGU24-6219, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-6219
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Biofilm Growth in Porous Media well approximated by Fractal Multirate Mass Transfer with Advective-Diffusive Solute Exchange

Jingjing Wang1,2, Jesús Carrera2,4, Maarten W. Saaltink3,4, Jordi Petchamé-Guerrero2,4,5, Graciela S. Herrera6, and Cristina Valhondo2,4
Jingjing Wang et al.
  • 1Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China
  • 2Geosciences Department, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence Center, Consejo Superior de Investigaciones Científicas (CSIC), Jordi Girona 18-26, 08034 Barcelona, Spain
  • 3Department of Civil and Environmental Engineering, Universitat Politècnica de Catalunya (UPC), Jordi Girona 1-3, 08034 Barcelona, Spain
  • 4Associated Unit: Hydrogeology Group (UPC-CSIC), 08034 Barcelona, Spain
  • 5Neurite Lab, Sant Joan de la Salle 42, 08022 Barcelona, Spain
  • 6Geophysics Institute, Universidad Nacional Autónoma de México, Circuito de la Investigación Científica s/n, C.U., Coyoacán, 04150 Mexico City, Mexico

Biofilm growth in porous media changes the hydrodynamic properties of the medium: porosity and permeability decrease, and dispersivity increases. However, the first arrival of breakthrough curves (BTCs) is more reduced than derived from the reduction in porosity, and the BTC tail becomes heavier. These observations suggest the need for multicontinuum models (Multi-Rate Mass Transfer, MRMT) which describe reactive transport in heterogeneous porous media and facilitate the simulation of localized reactions often observed within biofilms. Here, we present a conceptual model of biochemical reactive transport with dynamic biofilm growth based on MRMT formulations. The model incorporates microbial growth by updating the porosity, dispersivity, and local mass exchange between mobile water and the immobile biofilm according to the stoichiometry and kinetic rate laws of biochemical reactions. This model has been successfully tested using two sets of laboratory data. We found that (1) the basic model based on the growth of uniformly sized biofilm aggregates (memory function with 1/2 slope), fails to reproduce laboratory tracer tests and rate of biofilm growth, while the fractal growth model, which we obtain by integrating the memory functions of biofilm aggregates with a power law distribution, does; (2) The biofilm memory function evolves as the biofilm grows in response to the varying aggregate size distribution; and (3) the early time portion of eluted volume BTCs are independent of flow rate, whereas the tail becomes heavier when the flow rate is decreased, that both advection controlled and diffusion controlled mass exchange coexist in biofilms.

How to cite: Wang, J., Carrera, J., Saaltink, M. W., Petchamé-Guerrero, J., Herrera, G. S., and Valhondo, C.: Biofilm Growth in Porous Media well approximated by Fractal Multirate Mass Transfer with Advective-Diffusive Solute Exchange, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6219, https://doi.org/10.5194/egusphere-egu24-6219, 2024.

Corresponding supplementary materials formerly uploaded have been withdrawn.