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Dynamics of mixing and bimolecular reaction kinetics in aquifers

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Abstract

Descriptions of chemical transformation kinetics and hydrologic transport need to be coupled to understand the composition of flowing waters. The coupling of a bimolecular transformation reaction (reactant 1 + reactant 2 → product; rate \( r = \kappa c_{1} c_{2} \)) with spatially heterogeneous subsurface flows is addressed here. The flow microstructure—that controls the spreading rate of solutes and the mean reactant concentrations (C 1, C 2)—creates concentration microstructure whose intensity is characterized by the variances \( \sigma_{{c_{1} }}^{2} \), \( \sigma_{{c_{2} }}^{2} \), and the cross-covariance \( \overline{{c_{1} c_{2} }} \). In addition to the macroscopic overlap of the reactants, that is quantified by the product of the mean concentrations that are routinely modeled using effective dispersion coefficients \( D_{ij} \), the concentration microstructure plays an important role in determining reaction macro-kinetics as the mean reaction rate is \( \overline{r} = \kappa (C_{1} C_{2} + \overline{{c_{1} c_{2} }} ) \). For initially non-overlapping reactants \( \overline{{c_{1} c_{2} }} + C_{1} C_{2} = 0 \) and \( \overline{r} = 0 \) under pure advection. It is shown that due to the action of local dispersion, at large time, the \( \overline{{c_{1} c_{2} }} \) budget is characterized by a balance between its rate of production and dissipation, which results in \( \overline{{c_{1} c_{2} }} \approx 2\tau D_{ij} ({{\partial C_{1} } \mathord{\left/ {\vphantom {{\partial C_{1} } {\partial x_{i} )({{\partial C_{2} } \mathord{\left/ {\vphantom {{\partial C_{2} } {\partial x_{j} )}}} \right. \kern-0pt} {\partial x_{j} )}}}}} \right. \kern-0pt} {\partial x_{i} )({{\partial C_{2} } \mathord{\left/ {\vphantom {{\partial C_{2} } {\partial x_{j} )}}} \right. \kern-0pt} {\partial x_{j} )}}}} \), where τ is the dissipation time-scale characteristic to the destruction of concentration fluctuation by local dispersion. This results in \( \overline{r} = \kappa_{\text{eff}} C_{1} C_{2} \), where \( \kappa_{\text{eff}} \approx \kappa [1 + 2\tau D_{ij} ({{\partial { \ln }C_{1} } \mathord{\left/ {\vphantom {{\partial { \ln }C_{1} } {\partial x_{i} )({{\partial { \ln }C_{2} } \mathord{\left/ {\vphantom {{\partial { \ln }C_{2} } {\partial x_{j} )}}} \right. \kern-0pt} {\partial x_{j} )}}}}} \right. \kern-0pt} {\partial x_{i} )({{\partial { \ln }C_{2} } \mathord{\left/ {\vphantom {{\partial { \ln }C_{2} } {\partial x_{j} )}}} \right. \kern-0pt} {\partial x_{j} )}}}}] \), which accounts for the influence of concentration microstructure and small-scale mixing on the macroscopic bimolecular kinetics. The effective rate parameter κeff is greater than the intrinsic rate constant κ measured under well-mixed conditions if the macroscopic concentration gradients have the same sign (initially overlapping reactants). For the initially non-overlapping reactants which result in macroscopic gradients having opposite signs, κ eff < κ. The macroscopic reactant concentration gradients, effective dispersion coefficients, and the dissipation time-scale control the reaction macro-kinetics, in addition to the intrinsic rate constant κ and the mean reactant concentrations. The formulation for reaction macro-kinetics developed here helps explain previously reported disparities between laboratory and field-scale transformation rates and also provides a way to represent the influence of reactant concentration microstructure in large-scale descriptions of reactive transport.

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Correspondence to Jagadeesh Anmala.

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Anmala, J., Kapoor, V. Dynamics of mixing and bimolecular reaction kinetics in aquifers. Stoch Environ Res Risk Assess 27, 1005–1020 (2013). https://doi.org/10.1007/s00477-012-0679-5

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