Evaluation of overshooting errors in particle methods for diffusion by biased global random walk

Uncategorized

Abstract

The adjustment of grid steps which guarantees that particles methods yield no numerical diffusion inevitably induces overshooting errors in the solution of the parabolic partial differential equations with space variable coefficients. In this paper we give an evaluation of the overshooting errors of the “global random walk” algorithm (GRW), a computational efficient method used in simulations for transport in environmental problems. The evaluation is performed by comparisons between the GRW solutions and those of the “biased global random walk” algorithm (BGRW), a cellular automaton, which is computational more expensive but is also free of overshooting errors. The reference problem was the diffusive transport in a random velocity field, a model for the transport of the contaminant solutes in groundwater. The evaluation reveals that, for an optimum choice of the parameters, GRW results for time intervals of practical interest lie in ranges of acceptable precision, for both the ensemble averaged observables and for their fluctuations

Authors

N. Suciu
Friedrich-Alexander University of Erlangen-Nurember
C. Vamos
Tiberiu Popoviciu Institute of Numerical Analysis

Keywords

Overshooting; global random walk; groundwater contamination

References

See the expanding block below.

Paper coordinates

N. Suciu, C. Vamoş, Evaluation of overshooting errors in particle methods for diffusion by biased global random walk, Rev. Anal. Numér. Théor. Approx., 35 (2006), pp. 119-126

PDF

https://ictp.acad.ro/jnaat/journal/article/view/2002-vol31-no2-art6

About this paper

Journal

Rev. Anal. Numer. Theor. Approx.

Publisher Name

Editura Academiei Romane

DOI

not available yet.

Print ISSN

1222-9024

Online ISSN

2457-8126

Google Scholar Profile

aici se introduce link spre google scholar

References

References

[1] Doob, J. L., Stochastic Processes, John Wiley & Sons, London, 1953.

[2] Gardiner, C. W. (1985), Handbook of Stochastic Methods (for Physics, Chemistry and Natural Science), Springer, New York.

[3] Kitanidis, P. K., Particle-tracking equations for solution of the advection-dispersion equation with variable coefficients, Water Resour. Res., 30(11), 3225-3227, 1994.

[4] Kloeden, P. E. and E, Platten, Numerical solutions of stochastic differential equations, Springer, Berlin, 1995.

[5] SUN, Ne-Z., Mathematical Modeling in Groundwater Pollution, Springer, New York, 1996.

[6] Suciu, N., C. Vamoş, J. Vanderborght, H. Hardelauf and H. Vereecken, Numerical modeling of large scale transport of contaminant solutes using the global random walk algorithm, Monte Carlo Methods and Appl., 10(2), 153-177, 2004.

[7] Suciu, N., C. Vamoş, P. Knabner and U. Rüde, Biased global random walk, a cellular automaton for diffusion, in Simulationstechnique, 18^{th}Symposium in Erlangen, September 2005, F. Hülsemann, M. Kowarschik and U. Rüde (eds.), pp. 562-567, SCS Publishing House e. V., Erlangen, 2005.

[8] Suciu N., C. Vamoş, J. Vanderborght, H. Hardelauf and H. Vereecken, Numerical investigations on ergodicity of solute transport in heterogeneous aquifers, Water Resour. Res., 42, W04409, doi:10.1029/2005WR004546, 2006.

[9] Vamoş, C., N. Suciu and H. Vereecken, Generalized random walk algorithm for the numerical modeling of complex diffusion processes, J. Comp. Phys., 186(2), 527-544, 2003.

Related Posts

Leave a Reply

Your email address will not be published. Required fields are marked *

Fill out this field
Fill out this field
Please enter a valid email address.

Menu