Persistent Link:
http://hdl.handle.net/10150/191749
Title:
Aspects of aquifer test error analysis
Author:
BenBarka, Ahmed Mohamed.
Issue Date:
1982
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
In aquifer test analysis the basic sources of errors are in measurement, wrong models, and in the estimation methods. Each is characterized and analyzed statistically. The estimation error was determined for graphical fitting by a panel of hydrologists. For automatic fitting the estimation error was obtained by use of nonlinear regression theory. First order analysis is employed to determine the effect of these errors on predictions utilizing the estimated parameters. Regression theory is further utilized to predetermine the efficiency of an aquifer test design (the variability of the resulting estimates) from the C matrix. There is sufficient similarity between graphical and automatic fitting to believe that the conclusions determined for automatic fitting will qualitatively hold when the fitting method is graphical.
Type:
Thesis-Reproduction (electronic); text
LCSH Subjects:
Hydrology.; Aquifers -- Mathematical models.; Hydrologic models.; Error analysis (Mathematics)
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Hydrology and Water Resources; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Davis, Donald R.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleAspects of aquifer test error analysisen_US
dc.creatorBenBarka, Ahmed Mohamed.en_US
dc.contributor.authorBenBarka, Ahmed Mohamed.en_US
dc.date.issued1982en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractIn aquifer test analysis the basic sources of errors are in measurement, wrong models, and in the estimation methods. Each is characterized and analyzed statistically. The estimation error was determined for graphical fitting by a panel of hydrologists. For automatic fitting the estimation error was obtained by use of nonlinear regression theory. First order analysis is employed to determine the effect of these errors on predictions utilizing the estimated parameters. Regression theory is further utilized to predetermine the efficiency of an aquifer test design (the variability of the resulting estimates) from the C matrix. There is sufficient similarity between graphical and automatic fitting to believe that the conclusions determined for automatic fitting will qualitatively hold when the fitting method is graphical.en_US
dc.description.notehydrology collectionen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.subject.lcshHydrology.en_US
dc.subject.lcshAquifers -- Mathematical models.en_US
dc.subject.lcshHydrologic models.en_US
dc.subject.lcshError analysis (Mathematics)en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineHydrology and Water Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairDavis, Donald R.en_US
dc.contributor.committeememberDavis, Stanley N.en_US
dc.contributor.committeememberMaddock III, Thomasen_US
dc.identifier.oclc212891372en_US
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