4.7 Article

A hybrid Laplace transform finite analytic method for solving transport problems with large Peclet and Courant numbers

Journal

COMPUTERS & GEOSCIENCES
Volume 49, Issue -, Pages 182-189

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cageo.2012.05.020

Keywords

Contaminant transport; Hybrid method; Laplace transform; Peclet and Courant numbers; Numerical oscillation; Advection-dominated transport

Funding

  1. National Natural Science Foundation of China [40472131, 40872163]
  2. Major Projects of Science and Technology of the Chinese Ministry of Education [308021]
  3. The One-Hundred-Expert Program of the Shaanxi Province
  4. National Municipal Science and Technology Project of China [2008ZX07012-002-003-003]
  5. Los Alamos National Laboratory's Directed Research and Development Project [20070441]

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In this study, the authors develop a hybrid Laplace transform finite analytic method (LTFAM) to solve the advection-dispersion equations with large Peclet and Courant numbers. The finite analytic method with a hybrid Laplace transform can incorporate the temporal variable into the numerical scheme and effectively control the numerical dispersion and oscillation at solute sharp fronts. Since the conventional numerical methods use a large amount of time steps to iterate to the specified time, they may lead to an accumulation of computation errors from each iteration step. Instead of using many fine time steps to satisfy the condition of Courant numbers less than 1 for the conventional numerical methods, the LTFAM algorithm uses a one-step approach to compute the solute concentrations at any specified time with stable numerical solutions. The derived LTFAM algorithm is verified with two numerical simulation examples against the analytical solutions. The numerical results of the LTFAM match the analytical solutions very well, especially for solute transport in the advection-dominated cases. The developed algorithm in this paper can save a large amount of simulating time and improve the computational accuracy. Furthermore, because the solutions of the LTFAM for a set of specified times can be obtained separately in the Laplace space, independence of each time step implies that the LTFAM is well-suited for executing on high performance parallel computers. This algorithm facilitates the long-term predictions of contaminant transport in the kilometer-scale field sites. (C) 2012 Elsevier Ltd. All rights reserved.

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