Main Title |
Effective groundwater model calibration : with analysis of data, sensitivities, predictions, and uncertainty / |
Author |
Hill, Mary Catherine.
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Other Authors |
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Publisher |
Wiley-Interscience, |
Year Published |
2007 |
OCLC Number |
62728602 |
ISBN |
047177636X; 9780471776369 |
Subjects |
Groundwater--Mathematical models ;
Hydrologic models ;
Grundwasser ;
Mathematisches Modell
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Internet Access |
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Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
ERAM |
GB1001.72.M35 H55 2007 |
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Region 9 Library/San Francisco,CA |
07/24/2014 |
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Collation |
xviii, 455 pages : illustrations, maps ; 24 cm |
Notes |
Includes bibliographical references (pages 407-426) and index. |
Contents Notes |
Computer software and groundwater management problem used in the exercises -- Comparing observed and simulated values using objective functions -- Determining the information that observations provide on parameter values using fit-independent statistics -- Estimating parameter values -- Evaluating model fit -- Evaluating estimated parameter values and parameter uncertainty -- Evaluating model predictions, data needs, and prediction uncertainty -- Calibrating transient and transport models and recalibrating existing models -- Guidelines for effective modeling -- Guidelines 1 through 8 -- model development -- Guidelines 9 and 10 -- model testing -- Guidelines 11 and 12 -- potential new data -- Guidelines 13 and 14 -- prediction uncertainty -- Using and testing the methods and guidelines -- Appendix A : objective function issues -- Appendix B : calculation details of the modified Gauss-Newton method -- Appendix C : two important properties of linear regression and the effects of nonlinearity -- Appendix D : selected statistical tables. "Turn to Effective Groundwater Model Calibration for a set of methods and guidelines that can help produce more accurate and transparent mathematical models. The models can represent groundwater flow and transport and other natural and engineered systems. Use this book and its extensive exercises to learn methods to fully exploit the data on hand, maximize the model's potential, and troubleshoot any problems that arise. Use the methods to perform"--Jacket. |