Analytical solutions for reactive shear dispersion with boundary adsorption and desorption

Surface reactions such as the adsorption and desorption at boundaries are very common for solute dispersion in many applications of chemistry, biology, hydraulics, etc. To study how reversible adsorption affects the transient dispersion, Zhang, Hesse & Wang (J. Fluid Mech., vol. 828, 2017, pp. 733-752) have investigated the temporal evolution of moments using the Laplace transform method. Owing to difficulties introduced by the adsorption-desorption boundary condition, great challenges arise from the inverse Laplace transform: dealing with the singularities by the residue theorem can tremendously increase complexities. This work provides a much simpler analytical method to derive solutions in a more compact form that is valid for the entire range of the reactive transport process. Such a progress demonstrates that the classic framework of separation of variables can be extended and applied to this more general adsorption-desorption condition, based on which higher-order statistics including skewness and kurtosis can be explicitly explored in practice. Also extended is Gill's generalised dispersion model for solute concentration distributions, which can now address the entire transient dispersion characteristics, instead of just applied for the long-time asymptotic reactive process as done previously. Regarding the most classic Taylor dispersion problem, we investigate the influence of the reversible adsorption-desorption on the solute cloud in a tube flow. Not only the transient dispersion characteristics of transverse-average concentration distribution but also those of the bulk, surface and total-average distributions are discussed. We further investigate the influence of initial conditions on the non-uniformity of the transient dispersion over the cross-section.

Automated summary

This article investigates the influence of reversible adsorption-desorption on solute dispersion and proposes a simpler analytical method to derive solutions using the Laplace transform. The classic framework of separation of variables is extended to explore higher-order statistics in practice, and Gill's generalized dispersion model for solute concentration distributions is also extended to address transient dispersion characteristics. The study analyzes the influence of reversible adsorption-desorption on solute cloud and discusses the characteristics of different concentration distributions.