A mass-transfer particle-tracking method for simulating transport with discontinuous diffusion coefficients

•A mass-transfer particle-tracking method is developed for the problem of a spatially discontinuous diffusion coefficient.•The method employs a semi-analytical solution that we derive and may be employed for complicated subdomain interfaces and in higher dimensions.•Solutions generated by this metho...

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Veröffentlicht in:Advances in water resources 2020-06, Vol.140 (C), p.103577, Article 103577
Hauptverfasser: Schmidt, Michael J., Engdahl, Nicholas B., Pankavich, Stephen D., Bolster, Diogo
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Sprache:eng
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Zusammenfassung:•A mass-transfer particle-tracking method is developed for the problem of a spatially discontinuous diffusion coefficient.•The method employs a semi-analytical solution that we derive and may be employed for complicated subdomain interfaces and in higher dimensions.•Solutions generated by this method closely agree with analytical solutions or trusted numerical results. The problem of a spatially discontinuous diffusion coefficient (D(x)) is one that may be encountered in hydrogeologic systems due to natural geological features or as a consequence of numerical discretization of flow properties. To date, mass-transfer particle-tracking (MTPT) methods, a family of Lagrangian methods in which diffusion is jointly simulated by random walk and diffusive mass transfers, have been unable to solve this problem. This manuscript presents a new mass-transfer (MT) algorithm that enables MTPT methods to accurately solve the problem of discontinuous D(x). To achieve this, we derive a semi-analytical solution to the discontinuous D(x) problem by employing a predictor-corrector approach, and we use this semi-analytical solution as the weighting function in a reformulated MT algorithm. This semi-analytical solution is generalized for cases with multiple 1D interfaces as well as for 2D cases, including a 2 × 2 tiling of 4 subdomains that corresponds to a numerically-generated diffusion field. The solutions generated by this new mass-transfer algorithm closely agree with an analytical 1D solution or, in more complicated cases, trusted numerical results, demonstrating the success of our proposed approach.
ISSN:0309-1708
1872-9657
DOI:10.1016/j.advwatres.2020.103577