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Published online 23 January 2008
Published in Vadose Zone J 7:124-130 (2008)
DOI: 10.2136/vzj2007.0021
© 2008 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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TECHNICAL NOTES

Estimating Solute Transport Parameters Using Stochastic Ranking Evolutionary Strategy

Zhaosheng Fan and Francis X. M. Casey*

Dep. of Soil Science, North Dakota State Univ., Fargo, ND 58105
* Corresponding author (francis.casey{at}ndsu.edu).

Received 25 January 2007.

It is a significant challenge to reliably identify fate and transport parameters for solutes that simultaneously undergo multiple and complex processes. Evolutionary optimization techniques allow process parameters to be identified for complicated problems. One evolutionary optimization technique, the stochastic ranking evolutionary strategy (SRES), was used in this study to find the global or near-global optimal parameters for two solute breakthrough curve experiments. The uncertainties of the estimated parameters were assessed using a nonparametric bootstrap resample method. The two miscible-displacement cases considered were (i) a simulated experiment of a solute undergoing transformation and (ii) an actual experiment of trichloroethylene undergoing simultaneous nonequilibrium transport and transformation. In both cases, multiple breakthrough curves were produced from a parent solute and its metabolites, and the SRES was used with an appropriate convective–dispersive model to inversely identify the model parameters. The SRES inverse method provided an excellent model fit to the experimental data, and the model parameter estimates had minimal uncertainty even when 5% experimental error was introduced.

Abbreviations: Abbreviations: CI, confidence interval • GO, global optimization • LO, local optimization • PDE, partial differential equation • SRES, stochastic ranking evolutionary strategy • TCE, trichloroethylene






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