Download 3D-Groundwater Modeling with PMWIN: A Simulation System for by Professor Dr.-Ing. Wen-Hsing Chiang, Professor Dr.-Ing. PDF

By Professor Dr.-Ing. Wen-Hsing Chiang, Professor Dr.-Ing. Wolfgang Kinzelbach (auth.)

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Extra resources for 3D-Groundwater Modeling with PMWIN: A Simulation System for Modeling Groundwater Flow and Pollution

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Og S...... PlOIAs OotO » Oose Fig. 35. 4 Parameter Estimation The process of estimating unknown parameters is one of the most diffieult and eritieal steps in the model applieation. The parameter estimation (often ealled ealibration) of a flow model is aeeomplished by finding a set of parameters, hydrologie stresses or boundary conditions so that the simulated heads or drawdowns match the measurement values to a reasonable degree. Hill (1998) gives methods and guidelines for model calibration using inverse modeling.

3) 36 2. 2 Your First Groundwater with PMWIN Where n [-] is the effective porosity with respect to the flow through the porous medium, Pb [ML-3] is the bulk density of the porous medium and KI [L 3M- 1] is the distribution coefficient of the solute in the porous medium. 000125 yields R = 2. Click OK to c10se the Chemieal Reaetion Paekage (MTRCTl) dialog box (Fig. 24). The last step before running the transport model is to specify the output times, at which the calculated concentration should be saved.

DAT, respectively. 7. Click Close to close the dialog box. 2 Run a Steady-State Flow Simulation 25 To generate contour maps of the calculated heads Choose Presentation from the Tools menu Data specified in Presentation will not be used by any parts of PMWIN. We can use Presentation to save temporary data or to display simulation results graphically. 2. Choose Matrix ... from the Value menu (or Press Ctr1+B). The Browse Matrix dialog box appears (Fig. 10). Each cell of the spreadsheet corresponds to a model cell in the current layer.

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