Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Closed-form expression for the dynamic dispersion coefficient in Hagen-Poiseuille flow

Version 1 : Received: 29 May 2017 / Approved: 30 May 2017 / Online: 30 May 2017 (07:53:21 CEST)

How to cite: Wang, L.; Cardenas, M.B. Closed-form expression for the dynamic dispersion coefficient in Hagen-Poiseuille flow. Preprints 2017, 2017050211. https://doi.org/10.20944/preprints201705.0211.v1 Wang, L.; Cardenas, M.B. Closed-form expression for the dynamic dispersion coefficient in Hagen-Poiseuille flow. Preprints 2017, 2017050211. https://doi.org/10.20944/preprints201705.0211.v1

Abstract

We present an exact expression for the upscaled dynamic dispersion coefficient (D) for one-dimensional transport by Hagen-Poiseuille flow which is the basis for modeling transport in porous media idealized as capillary tubes. The theoretical model is validated by comparing the breakthrough curves (BTCs) from a 1D advection-dispersion model with dynamic D to that from direct numerical solutions utilizing a 2D advection-diffusion model. Both Taylor dispersion theory and our new theory are good predictors of D at lower Peclet Number (Pe) regime, but gradually fail to capture most parts of BTCs as Pe increases. However, our model generally predicts the mixing and spreading of solutes better than Taylor’s theory since it covers all transport regimes from molecular diffusion, through anomalous transport, and to Taylor dispersion. The model accurately predicts D based on the early part of BTCs even at relatively high Pe regime (~62) where the Taylor’s theory fails. Furthermore, the model allows for calculation of the time scale that separates Fickian from non-Fickian transport. Therefore, our model can readily be used to calculate dispersion through short tubes of arbitrary radii such as the pore throats in a pore network model.

Keywords

solute transport, dispersion, hagen-poiseuille flow, non-fickian

Subject

Environmental and Earth Sciences, Environmental Science

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