Ground water model calibration using pilot points and regularization

Doherty, J. (2003) Ground water model calibration using pilot points and regularization. Ground Water, 41 2: 170-177. doi:10.1111/j.1745-6584.2003.tb02580.x


Author Doherty, J.
Title Ground water model calibration using pilot points and regularization
Journal name Ground Water   Check publisher's open access policy
ISSN 0017-467X
Publication date 2003
Sub-type Article (original research)
DOI 10.1111/j.1745-6584.2003.tb02580.x
Volume 41
Issue 2
Start page 170
End page 177
Total pages 8
Place of publication Urbana, Ill., U.S.A.
Publisher Blackwell Publishing
Collection year 2003
Language eng
Subject C1
290802 Water and Sanitary Engineering
770502 Land and water management
0406 Physical Geography and Environmental Geoscience
0799 Other Agricultural and Veterinary Sciences
Abstract Use of nonlinear parameter estimation techniques is now commonplace in ground water model calibration. However, there is still ample room for further development of these techniques in order to enable them to extract more information from calibration datasets, to more thoroughly explore the uncertainty associated with model predictions, and to make them easier to implement in various modeling contexts. This paper describes the use of pilot points as a methodology for spatial hydraulic property characterization. When used in conjunction with nonlinear parameter estimation software that incorporates advanced regularization functionality (such as PEST), use of pilot points can add a great deal of flexibility to the calibration process at the same time as it makes this process easier to implement. Pilot points can be used either as a substitute for zones of piecewise parameter uniformity, or in conjunction with such zones. In either case, they allow the disposition of areas of high and low hydraulic property value to be inferred through the calibration process, without the need for the modeler to guess the geometry of such areas prior to estimating the parameters that pertain to them. Pilot points and regularization can also be used as an adjunct to geostatistically based stochastic parameterization methods. Using the techniques described herein, a series of hydraulic property fields can be generated, all of which recognize the stochastic characterization of an area at the same time that they satisfy the constraints imposed on hydraulic property values by the need to ensure that model outputs match field measurements. Model predictions can then be made using all of these fields as a mechanism for exploring predictive uncertainty.
Keyword Geosciences, Multidisciplinary
Water Resources
Transmissivity Fields
Inverse Problem
Identification
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
2004 Higher Education Research Data Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 162 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 183 times in Scopus Article | Citations
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Created: Wed, 15 Aug 2007, 02:03:57 EST