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Apr 26, 2012
Evaluating Observations in the Context of Predictions for the Death Valley Regional Groundwater System
Authors: Matthew Ely, Mary C. Hill, Claire R. Tiedeman, and Grady M. O'BrienAuthor Affiliations
Publication: Building Partnerships
Abstract
When a model is calibrated by nonlinear regression, calculated diagnostic and inferential statistics provide a wealth of information about many aspects of the system. This work uses linear inferential statistics that are measures of prediction uncertainty to investigate the likely importance of continued monitoring of hydraulic head to the accuracy of model predictions. The measurements evaluated are hydraulic heads; the predictions of interest are subsurface transport from 15 locations. The advective component of transport is considered because it is the component most affected by the system dynamics represented by the regional-scale model being used. The problem is addressed using the capabilities of the U.S. Geological Survey computer program MODFLOW-2000, with its Advective Travel Observation (ADV) Package.
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© 2000 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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Matthew Ely
U.S. Geological Survey, 1200 Pacific Ave, Suite 600, Tacoma, WA 98402
Mary C. Hill
U.S. Geological Survey, 3215 Marine St., Boulder, CO 80303
Claire R. Tiedeman
U.S. Geological Survey, 345 Middlefield Rd, Menlo Park, CA 94025
Grady M. O'Brien
U.S. Geological Survey, 520 N. Park Ave., Tucson, AZ 85719
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.