Abstract
The System Identification (SID) Method is a powerful technique that allows the determination of multiple system characteristics using an inverse approach. This paper deals with the application of this methodology to obtain more reliable estimates of transport parameters at contaminated sites based on monitoring well data. To illustrate the use of the SID methodology, a closed form analytical solution representing contaminant movement in a homogeneous, two-dimensional aquifer is developed. This analytical solution serves as the forward prediction model. Independently, a system identification algorithm is developed and then coupled with the above forward prediction model. The combined model is then used in two trial simulations to demonstrate the use of the methodology. The results from trial simulations indicate that the SID algorithm is efficient and robust. Further developments that are necessary in the model prior to its field implementation are discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 897-911 |
| Number of pages | 15 |
| Journal | Geotechnical Special Publication |
| Issue number | 58 /2 |
| State | Published - 1996 |
| Event | Proceedings of the 1996 Conference on Uncertainty in the Geologic Environment, UNCERTAINTY'96. Part 2 (of 2) - Madison, WI, USA Duration: Jul 31 1996 → Aug 3 1996 |