Abstract
The combination of the analytic element method and a nonlinear parameter estimation technique forges a computationally efficient, information‐rich, and cost‐effective solution to the inverse ground‐water flow problem. The recommended model calibration method uses a nonlinear least‐squares objective, as quantified by misfitting the measured and modeled heads, and a modified Levenberg‐Marquardt algorithm. As detailed and demonstrated by a steady‐state regional aquifer model of Bemidji, Minnesota, automated calibration techniques make ground‐water modeling feasible for a wider variety of projects where tight budgets and a lack of tools may have previously made such modeling inappropriate.
Original language | English (US) |
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Pages (from-to) | 91-97 |
Number of pages | 7 |
Journal | Groundwater |
Volume | 31 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1993 |