Persistent Link:
http://hdl.handle.net/10150/191560
Title:
Effect of data density on groundwater contouring accuracy.
Author:
Davis, Phillip Ray,1946-
Issue Date:
1972
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:
The number of data points required to make a valid contour map is a function of the type of data. Using fewer data points than the maximum available to define a groundwater system has immediate economic benefits. The concept was applied to a 395 square mile section of Avra Valley, a single-aquifer, alluvial groundwater basin near Tucson, Arizona to determine the minimum number of data points necessary to produce a representative contour map. The coefficients of variation of the volume between the groundwater surface and a selected datum and the volumetric change between the groundwater surfaces over a period of time are presented as indicators of the relative accuracy of contour maps. The number of data points ranged from 200, the maximum available, to three. The relationship between the coefficients of variation and the number of data points showed little advantage in using more than thirty data points. The contour maps drawn from the maximum number and the acceptable minimum number (31) of data points showed good correlation for uniform groundwater level contour data and a poorer correlation for non-uniform groundwater level change data. Final acceptance of the minimum density groundwater contour maps depends on the objectives of the study. Using fewer data points than the maximum number available reduces costs, allows better scheduling of the data collection program, and permits faster analysis of the data.
Type:
Thesis-Reproduction (electronic); text
LCSH Subjects:
Hydrology.; Groundwater -- Arizona -- Avra Valley.; Groundwater -- Measurement.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Soils, Water, and Engineering; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Matlock, William G.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleEffect of data density on groundwater contouring accuracy.en_US
dc.creatorDavis, Phillip Ray,1946-en_US
dc.contributor.authorDavis, Phillip Ray,1946-en_US
dc.date.issued1972en_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.abstractThe number of data points required to make a valid contour map is a function of the type of data. Using fewer data points than the maximum available to define a groundwater system has immediate economic benefits. The concept was applied to a 395 square mile section of Avra Valley, a single-aquifer, alluvial groundwater basin near Tucson, Arizona to determine the minimum number of data points necessary to produce a representative contour map. The coefficients of variation of the volume between the groundwater surface and a selected datum and the volumetric change between the groundwater surfaces over a period of time are presented as indicators of the relative accuracy of contour maps. The number of data points ranged from 200, the maximum available, to three. The relationship between the coefficients of variation and the number of data points showed little advantage in using more than thirty data points. The contour maps drawn from the maximum number and the acceptable minimum number (31) of data points showed good correlation for uniform groundwater level contour data and a poorer correlation for non-uniform groundwater level change data. Final acceptance of the minimum density groundwater contour maps depends on the objectives of the study. Using fewer data points than the maximum number available reduces costs, allows better scheduling of the data collection program, and permits faster analysis of the data.en_US
dc.description.notehydrology collectionen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.subject.lcshHydrology.en_US
dc.subject.lcshGroundwater -- Arizona -- Avra Valley.en_US
dc.subject.lcshGroundwater -- Measurement.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineSoils, Water, and Engineeringen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairMatlock, William G.en_US
dc.identifier.oclc213298193en_US
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