A time-space Hausdorff fractal model for non-Fickian transport in porous media
Yingjie Liang, Ninghu Su, Wen Chen, Xu Yang

TL;DR
This paper introduces a fractal PDE model using Hausdorff derivatives to better describe non-Fickian solute transport in heterogeneous porous media, capturing complex early arrivals and tailing in breakthrough curves.
Contribution
It develops a novel time-space Hausdorff derivative model on fractal metrics, offering improved physical insight and fitting accuracy over traditional models for porous media transport.
Findings
Fractal PDE captures early arrival and heavy tail in breakthrough curves.
Model parameters relate linearly to transport distance.
Compared to scale-dependent models, it better fits experimental data.
Abstract
This paper presents a time-space Hausdorff derivative model for depicting solute transport in aquifers or water flow in heterogeneous porous media. In this model, the time and space Hausdorff derivatives are defined on non-Euclidean fractal metrics with power law scaling transform which, respectively, connect the temporal and spatial complexity during transport. The Hausdorff derivative model can be transformed to an advection-dispersion equation with time- and space-dependent dispersion and convection coefficients. This model is a fractal partial differential equation (PDE) defined on a fractal space and differs from the fractional PDE which is derived for non-local transport of particles on a non-fractal Euclidean space. As an example of applications of this model, an explicit solution with a constant diffusion coefficient and flow velocity subject to an instantaneous source is…
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Taxonomy
TopicsFractional Differential Equations Solutions · Groundwater flow and contamination studies · NMR spectroscopy and applications
