Abstract
We consider three approaches to modeling A + B → C irreversible
reactions in natural media: 1) a discretized diffusion-reaction equation
(DRE), 2) a particle tracking (PT) scheme in which reaction occurs if
and only if an A and B particle pair are within a fixed distance, r (the
"reaction radius"), and 3) a PT scheme using an alternative to the fixed
reaction radius: a collocation probability distribution derived directly
from first principles. Each approach has advantages. In some cases a
discretized DRE may be the most computationally efficient method. For PT
simulations, robust codes exist based on use of a fixed reaction radius.
And finally, collocation probabilities may be derived directly from the
Fick's Law constant, D, which is a well-established property for most
species. In each approach, a single parameter governs the 'promiscuity'
of the reaction (i.e. the thermodynamic favorability of reaction,
predicated on the particles being locally well mixed). For the DRE,
fixed-reaction-radius PT, and collocation-based PT, these parameters
are, respectively: a second-order decay rate, r, and D. We established a
number of new results enhancing these approaches and relating them to
each other (and to nature). In particular, a thought experiment
concerning a simple system in which the predictions of each approach can
be computed analytically was used to derive formulas establishing a
universal one-to-one correspondence among each of the governing
parameters. We thus showed the conditions for equivalence of the three
approaches, and grounded both the DRE approach and the fixed-radius PT
approach in the Fick's Law D. We further showed that the existing
collocation-based PT theory is based on a probability distribution that
is only correct for infinitesimally small times, but which can be
modified to be accurate for larger times by means of continuous time
random walk analysis and first-passage probability distributions.
Finally, we employed a novel mathematical approach to adapt this into a
workable collocation-based particle tracking technique.
Original language | English GB |
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Journal | Geophysical Research Abstracts |
Volume | 31 |
State | Published - 1 Dec 2013 |
Externally published | Yes |
Keywords
- 1832 HYDROLOGY Groundwater transport
- 3225 MATHEMATICAL GEOPHYSICS Numerical approximations and analysis
- 3265 MATHEMATICAL GEOPHYSICS Stochastic processes
- 1846 HYDROLOGY Model calibration