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Using Ground-Water Model Predictions and the ppr and opr Statistics to Guide Data Collection

Using Ground-Water Model Predictions and the ppr and opr Statistics to Guide Data Collection

Using Ground-Water Model Predictions and the ppr and opr Statistics to Guide Data Collection. Motivation. Ground-water model predictions are always uncertain. Hydrogeologic Data. Parameter Distribution. Calibrated Model & Predictions. Incomplete Data. Parameter Uncertainty.

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382 views • 25 slides
Using Ground-Water Model Predictions and the ppr and opr Statistics to Guide Data Collection

Using Ground-Water Model Predictions and the ppr and opr Statistics to Guide Data Collection

Using Ground-Water Model Predictions and the ppr and opr Statistics to Guide Data Collection. Motivation. Ground-water model predictions are always uncertain. Hydrogeologic Data. Parameter Distribution. Calibrated Model & Predictions. Incomplete Data. Parameter Uncertainty.

★ ★ ★ ★ ★

367 views • 25 slides
VIII: Methods for Evaluating Model Predictions

VIII: Methods for Evaluating Model Predictions

VIII: Methods for Evaluating Model Predictions. 1. Define predictive quantity and calculate sensitivities and standard deviations (Ex8.1a) 2. Assess data needs for the predictions Which parameters are important to predictions?

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392 views • 24 slides
VIII: Methods for Evaluating Model Predictions

VIII: Methods for Evaluating Model Predictions

VIII: Methods for Evaluating Model Predictions. 1. Define predictive quantity and calculate sensitivities and standard deviations (Ex8.1a) 2. Assess data needs for the predictions Which parameters are important to predictions?

★ ★ ★ ★ ★

348 views • 24 slides
VIII: Methods for Evaluating Model Predictions

VIII: Methods for Evaluating Model Predictions

VIII: Methods for Evaluating Model Predictions. 1. Define predictive quantity and calculate sensitivities and standard deviations (Ex8.1a) 2. Assess data needs for the predictions Which parameters are important to predictions?

★ ★ ★ ★ ★

254 views • 24 slides

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