Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-19T08:49:39.815Z Has data issue: false hasContentIssue false

Arrested shear dispersion and other models of anomalous diffusion

Published online by Cambridge University Press:  21 April 2006

W. R. Young
Affiliation:
Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

Abstract

The macroscopic dispersion of tracer in microscopically disordered fluid flow can ultimately, at large times, be described by an advection-diffusion equation. But before this asymptotic regime is reached there is an intermediate regime in which first and second spatial moments of the distribution are proportional to tν. Conventional advection-diffusion (which applies at large times) has ν = 1 but in the intermediate regime ν < 1. This phenomenon is referred to as ‘anomalous diffusion’ and this article discusses the special case ν = ½ in detail. This particular value of ν results from tracer dispersion in a central pipe with many stagnant side branches leading away from it. The tracer is “held up” or ‘arrested’ when it wanders into the side branches and so the dispersion in the central duct is more gradual than in conventional advection-diffusion (i.e. ν = ½ < 1).

This particular example serves as an entry point into a more general class of models which describe tracer arrest in closed pockets of recirculation, permeable particles, etc. with an integro-differential equation. In this view tracer is arrested and detained at a particular site for a random period. A quantity of fundamental importance in formulating a continuum model of this interrupted random walk is the distribution of stopping times at a site. Distributions with slowly decaying tails (long sojourns) produce anomalous diffusion while the conventional model results from distributions with short tails.

Type
Research Article
Copyright
© 1988 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aris, R. 1956 On the dispersion of solute in a fluid flowing through a tube.. Proc. R. Soc. Lond. A 235, 6777.Google Scholar
Bleistein, N. & Handelsman, R. A. 1975 Asymptotic Expansions of Integrals. Dover, 425 pp.
Brenner, H. 1980 Dispersion resulting from flow through spatially periodic porous media.. Phil. Trans. R. Soc. Lond. A 297, 81133.Google Scholar
Bretherton, F. P. & Haidvogel, D. B. 1976 Two-dimensional turbulence above topography. J. Fluid Mech. 78, 129154.Google Scholar
Coullet, P. H. & Spiegel, E. A. 1983 Amplitude equations for systems with competing instabilities. SIAM J. Appl. Maths. 43, 776821.Google Scholar
Derrida, B. & Pomeau, Y. 1982 Classical diffusion on a random chain. Phys. Rev. Lett. 48, 627630.Google Scholar
Feller, W. 1971 An Introduction to Probability Theory and its Applications, vol. 2. Wiley 669 pp.
Gill, W. M. & Sankarasubramanian, R. 1970 Exact analysis of unsteady advection diffusion.. Proc. R. Soc. Lond. A 316, 341350.Google Scholar
Gill, W. M. & Sankarasubramanian, R. 1972 Dispersion of nonuniformly distributed time variable continuous sources in a time-dependent flow.. Proc. R. Soc. Lond. A 327, 191208.Google Scholar
Gill, A. E. & Smith, R. K. 1970 On similarity solutions of the differential equation = 0. Proc. Camb. Phil. Soc. 67, 163171.Google Scholar
Guyon, E., Hulin, J. P., Baudet, C. & Pomeau, Y. 1987 Dispersion in the presence of recirculation zones. Proceedings of Chaos 1987. To be published in Nucl. Phys.Google Scholar
Hughes, B. D., Montroll, E. W. & Shlesinger, M. F. 1982 Fractal random walks. J. Stat. Phys. 28, 111126.Google Scholar
Koch, D. L. & Brady, J. F. 1985 Dispersion in fixed beds. J. Fluid Mech. 154, 399427.Google Scholar
Mandelbrot, B. B. 1983 The Fractal Geometry of Nature. Freeman, 468 pp.
Montroll, E. W. & West, B. J. 1979 On an enriched collection of stochastic processes. In Fluctuation Phenomena (ed. E. W. Montroll & J. L. Lebowitz).
Nadim, A., Cox, R. G. & Brenner, H. 1986a Taylor dispersion in concentrated suspensions of rotating cylinders. J. Fluid Mech. 164, 185215.Google Scholar
Nadim, A., Pagitsas, M. & Brenner, H. 1986b Higher-order moments in macrotransport processes. J. Chem. Phys. 85, 52385245.Google Scholar
Pomeau, Y., Pumir, A. & Young, W. R. 1987 Transients in the advection and diffusion of impurities. C. R. Acad. Sci. Paris. to be published.Google Scholar
Rhines, P. B. & Young, W. R. 1983 How rapidly is a passive scalar mixed within closed streamlines? J. Fluid Mech. 133, 133145.Google Scholar
Roberts, A. J. 1988 The application of centre manifold theory to the evolution of systems which vary slowly in space. Bull. Austral. Math. Soc. B (to appear).Google Scholar
Saffman, P. N. 1959 A theory of dispersion in porous media. J. Fluid Mech. 6, 321349.Google Scholar
Sahimi, M., Hughes, B. D., Scriven, L. E. & Davis, H. T. 1983 Stochastic transport in disordered systems. J. Chem. Phys. 78, 68496864.Google Scholar
Shen, C. & Floryan, J. M. 1985 Low Reynolds number flow over cavities. Phys. Fluids 28, 31913202.Google Scholar
Smith, R. 1981 A delay-diffusion description for contaminant dispersion. J. Fluid Mech. 105, 469486.Google Scholar
Smith, R. 1983 Effect of boundary absorption upon longitudinal dispersion in shear flows. J. Fluid Mech. 134, 161177.Google Scholar
Sneddon, I. N. 1972 The Use of Integral Transforms. McGraw Hill, 539 pp.
Stratonovich, R. L. 1967 Topics in the Theory of Random Noise, vol. 2. Gordon and Breach, 329 pp.
Taylor, G. I. 1953 Dispersion of soluble matter in solvent flowing slowly through a tube.. Proc. R. Soc. Lond. A 219, 186203.Google Scholar
Whittaker, E. T. & Watson, G. N. 1927 A Course of Modern Analysis, 4th edn. Cambridge University Press, 608 pp.