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- W48133756 abstract "A set of first-order differential state equations is developed from taking finite differences of the partial differential equation that describes groundwater flow during a pump-drawdown test. The number of states in the model is a direct function of the number of discrete spatial segments used in the approximate model. This number of states is studied to determine a reasonably low-order model that preserves the accuracy of resulting simulations when compared with an available analytical solution. The resulting reduced-order model is then used in an extended Kalman filter for combined state and parameter estimation. This report summarizes work done in a recent pilot study to demonstrate the feasibility of these techniques in groundwater research and points the way toward other approaches to this problem area now under study." @default.
- W48133756 created "2016-06-24" @default.
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- W48133756 date "1980-03-11" @default.
- W48133756 modified "2023-09-24" @default.
- W48133756 title "Parameter identification in groundwater flow: a feasibility study" @default.
- W48133756 doi "https://doi.org/10.2172/5529479" @default.
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