Approximation of Well Function and Identification of Leaky Aquifer Parameters
This article has been corrected.
VIEW CORRECTIONPublication: Journal of Irrigation and Drainage Engineering
Volume 134, Issue 6
Abstract
The existing equation for leaky aquifers is transformed into a nondimensional form using new parameters and a scaled well function for leaky aquifers is proposed. A computationally simple function is developed for accurately approximating the scaled well function for the practical range of the parameters. Utilizing this function (approximation), an optimization method is proposed for identifying the leaky-aquifer parameters from observed drawdowns. The new function has an enhanced utility when a repetitive numerical evaluation of the well function for leaky aquifers is needed, e.g., while estimating the aquifer parameters using optimization or Kalman filter or artificial neural network methods. The application of the proposed method is illustrated using a few sets of published data. The proposed method outperforms the extended Kalman filter method, based on the reported results in the literature.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 134 • Issue 6 • December 2008
Pages: 864 - 871
Copyright
© 2008 ASCE.
History
Received: Sep 17, 2007
Accepted: Apr 8, 2008
Published online: Dec 1, 2008
Published in print: Dec 2008
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