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Modeling the Transport of Aggregating Nanoparticles in Porous Media
Author(s) -
Katzourakis Vasileios E.,
Chrysikopoulos Constantinos V.
Publication year - 2021
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/2020wr027946
Subject(s) - porous medium , nanoparticle , materials science , particle (ecology) , diffusion , particle size , porosity , particle aggregation , matrix (chemical analysis) , population balance equation , chemical physics , phase (matter) , population , nanotechnology , chemistry , thermodynamics , physics , composite material , oceanography , demography , organic chemistry , sociology , geology
A novel mathematical model was developed to describe the transport of nanoparticles in water saturated, homogeneous porous media with uniform flow. The model accounts for the simultaneous migration and aggregation of nanoparticles. The nanoparticles are assumed to be found suspended in the aqueous phase or attached reversibly or irreversibly onto the solid matrix. The Derjaguin‐Landau‐Verwey‐Overbeek theory was used to account for possible repulsive interactions between aggregates. Nanoparticle aggregation was represented by the Smoluchowski population balance equation (PBE). Both reaction‐limited aggregation and diffusion‐limited aggregation were considered. Particle‐size dependent dispersivity was accounted for. In order to overcome the substantial difficulties introduced by the PBE, the governing coupled partial differential equations were solved by employing adaptive operator splitting methods, which decoupled the reactive transport and aggregation into distinct physical processes. The results from various model simulations showed that the transport of nanoparticles in porous media is substantially different than the transport of conventional biocolloids. In particular, aggregation was shown to either decrease or increase nanoparticle attachment onto the solid matrix, depending on particle size, and to yield early or late breakthrough, respectively. Finally, useful conclusions were drawn regarding possible erroneous results generated when aggregation, particle‐size dependent dispersivity or nanoparticle surface charges are neglected.