Reactive Particle-tracking Solutions to a Benchmark Problem on Heavy Metal Cycling in Lake Sediments
| Autor: | Schmidt, Michael J., Pankavich, Stephen D., Navarre-Sitchler, Alexis, Engdahl, Nicholas B., Bolster, Diogo, Benson, David A. |
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| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Journal of Contaminant Hydrology, Volume 234, 2020, 103642 |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1016/j.jconhyd.2020.103642 |
| Popis: | Geochemical systems are known to exhibit highly variable spatiotemporal behavior. This may be observed both in non-smooth concentration curves in space for a single sampling time and also in variability between samples taken from the same location at different times. However, most models that are designed to simulate these systems provide only single-solution smooth curves and fail to capture the noise and variability seen in the data. We apply a recently developed reactive particle-tracking method to a system that displays highly-complex geochemical behavior. When the method is made to most closely resemble a corresponding Eulerian method, in its unperturbed form, we see near-exact match between solutions of the two models. More importantly, we consider two approaches for perturbing the model and find that the spatially-perturbed condition is able to capture a greater degree of the variability present in the data. This method of perturbation is a task to which particle methods are uniquely suited and Eulerian models are not well-suited. Additionally, because of the nature of the algorithm, noisy spatial gradients can be highly resolved by a large number of mobile particles, and this incurs negligible computational cost, as compared to expensive chemistry calculations. Comment: 29 pages, 8 figures |
| Databáze: | arXiv |
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