EGU25-3225, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-3225
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Thursday, 01 May, 10:45–12:30 (CEST), Display time Thursday, 01 May, 08:30–12:30
 
Hall A, A.92
Transport of aggregating nanoparticle in porous media: Novel Mathematical Modeling
Constantinos V. Chrysikopoulos1,2 and Vasileios E. Katzourakis1
Constantinos V. Chrysikopoulos and Vasileios E. Katzourakis
  • 1Khalifa University, Civil and Environmental Engineering, Abu Dhabi, United Arab Emirates
  • 2School of Chemical and Environmental Engineering, Technical University of Crete, Chania, Greece

The migration of aggregating nanoparticles in water-saturated, homogeneous porous media with one-dimensional uniform flow was conceptualized through a novel numerical model. Nanoparticles were assumed to be found suspended in the aqueous phase or attached reversibly and/or irreversibly to the solid matrix. The Smoluchowski population balance equation was used to model the process of particle aggregation and was coupled with the advection-dispersion-attachment equation to form a nonlinear transport model. Employing an efficient and precise solver for the population balance equation, coupled with an iterative solver for linear or nonlinear attachment equations, significantly reduced computational time, while maintaining its accuracy. The new numerical model was successfully applied to nanoparticle transport experimental data available in the literature. Conventional colloid transport models may prove to be inadequate in scenarios of high ionic strength where aggregation becomes a dominant process. The proposed model demonstrated exceptional performance under high ionic strength conditions, capturing various physical processes related to nanoparticle transport, including the particle-size-dependent dispersion. Neglecting the aggregation process and relying solely on conventional colloidal transport models, could potentially yield inaccurate results.

How to cite: Chrysikopoulos, C. V. and Katzourakis, V. E.: Transport of aggregating nanoparticle in porous media: Novel Mathematical Modeling, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-3225, https://doi.org/10.5194/egusphere-egu25-3225, 2025.