Uncertainty Quantification for Stream Depletion Tests
Publication: Journal of Hydrologic Engineering
Volume 18, Issue 12
Abstract
This study considers the problem of quantifying stream depletion from pumping test data. Bayesian inference is used to quantify the posterior uncertainty of parameters for a simple vertically heterogeneous aquifer model, in which the pumped semiconfined aquifer is separated by an aquiclude from a phreatic aquifer hydraulically connected to a stream. This study investigates the effects of using different data sets and shows that a single pumping test is generally not sufficient to determine stream depletion within reasonable limits. However, uncertainty quantification conducted within a Bayesian context reveals that by judicious design of aquifer tests, stream depletion can be accurately determined from data.
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Information & Authors
Information
Published In
Journal of Hydrologic Engineering
Volume 18 • Issue 12 • December 2013
Pages: 1581 - 1590
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Sep 13, 2011
Accepted: Aug 7, 2012
Published online: Aug 18, 2012
Discussion open until: Jan 18, 2013
Published in print: Dec 1, 2013
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