Abstract
Reactive chemical transport plays a key role in geological media, across
scales from pores to an aquifer. Systems can be altered by changes in
solution chemistry and a wide variety of chemical transformations,
including precipitation/dissolution reactions that cause feedbacks that
directly affect the flow and transport regime. The combination of these
processes with advective dispersive-diffusive transport in heterogeneous
media leads to a rich spectrum of complex dynamics. The principal
challenge in modeling reactive transport is to account for the subtle
effects of fluctuations in the flow field and species concentrations;
averaging suppresses these effects. Moreover, it is critical to ground
model conceptualizations and test model outputs against laboratory
experiments and field measurements. We focus on the integration of these
aspects, considering carefully-designed and controlled experiments at
both laboratory and field scales, in the context of development and
solution of reactive transport models based on continuum scale and
particle tracking approaches. We first discuss laboratory experiments
and field measurements that define the scope of the phenomena and
provide data for model comparison. We continue by surveying models
involving advection-dispersion-reaction equation and probabilistic
continuous time random walk formulations. The integration of
measurements and models is then examined, considering case studies in
different frameworks. We delineate the underlying assumptions, and
strengths and weaknesses, of these analyses, and the role of
probabilistic effects. We also show the key importance of quantifying
the spreading and mixing of reactive species, recognizing the role of
small-scale physical and chemical fluctuations that control the
initiation of reactions.
Original language | English GB |
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Journal | Geophysical Research Abstracts |
Volume | 43 |
State | Published - 1 Dec 2016 |
Externally published | Yes |
Keywords
- 1009 Geochemical modeling
- GEOCHEMISTRYDE: 1832 Groundwater transport
- HYDROLOGYDE: 1869 Stochastic hydrology
- HYDROLOGY