Nonideal transport of contaminants in heterogeneous porous media: 11. Testing the experiment condition dependency of the continuous distribution rate model for sorption-desorption

G. Schnaar, M. L. Brusseau

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

A series of miscible-displacement experiments was conducted to examine the impact of experiment conditions (detection limit, input pulse size, input concentration, pore-water velocity, contact time) on the performance of a mathematical solute transport model incorporating nonlinear, rate-limited sorption/desorption described by a continuous distribution reaction function. Effluent solute concentrations were monitored over a range of approximately seven orders of magnitude, allowing characterization of asymptotic tailing phenomenon. The model successfully simulated the extensive elution tailing observed for the measured data. Values for the mean desorption rate coefficient (ln k 2) and the variance of ln k 2 were obtained through calibration of the model to measured data. Similar parameter values were obtained for experiments with different input pulse size, input concentration, pore-water velocity, and contact time. This suggests that the model provided a robust representation of sorption-desorption for this system tested. The impact of analytical detection limit was examined by calibrating the model to subsets of the breakthrough curves wherein the extent of the elution tail was artificially reduced to mimic a poorer detection limit. The parameters varied as a function of the extent of elution tail used for the calibrations, indicating the importance of measuring as full an extent of the tail as possible.

Original languageEnglish (US)
Article number2136
JournalWater, Air, and Soil Pollution
Volume225
Issue number11
DOIs
StatePublished - Nov 2014

Keywords

  • Modeling
  • Nonideal transport
  • Rate-limited sorption
  • Tailing

ASJC Scopus subject areas

  • Environmental Engineering
  • Environmental Chemistry
  • Ecological Modeling
  • Water Science and Technology
  • Pollution

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