An Exploration of the Ground Water Quality of the Trinity Aquifer Using Multivariate Statistical Techniques Metadata

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Title

  • Main Title An Exploration of the Ground Water Quality of the Trinity Aquifer Using Multivariate Statistical Techniques

Creator

  • Author: Holland, Jennifer M.
    Creator Type: Personal

Contributor

  • Chair: Hudak, Paul F.
    Contributor Type: Personal
    Contributor Info: Major Professor
  • Committee Member: Rice, Murray D.
    Contributor Type: Personal
  • Committee Member: McGregor, Kent
    Contributor Type: Personal

Publisher

  • Name: University of North Texas
    Place of Publication: Denton, Texas
    Additional Info: Web: www.unt.edu

Date

  • Creation: 2011-08

Language

  • English

Description

  • Content Description: The ground water quality of the Trinity Aquifer for wells sampled between 2000 and 2009 was examined using multivariate and spatial statistical techniques. A Kruskal-Wallis test revealed that all of the water quality parameters with the exception of nitrate vary with land use. A Spearman’s rho analysis illustrates that every water quality parameter with the exception of silica correlated with well depth. Factor analysis identified four factors contributable to hydrochemical processes, electrical conductivity, alkalinity, and the dissolution of parent rock material into the ground water. The cluster analysis generated seven clusters. A chi-squared analysis shows that Clusters 1, 2, 5, and 6 are reflective of the distribution of the entire dataset when looking specifically at land use categories. The nearest neighbor analysis revealed clustered, dispersed, and random patterns depending upon the entity being examined. The spatial autocorrelation technique used on the water quality parameters for the entire dataset identified that all of the parameters are random with the exception of pH which was found to be spatially clustered. The combination of the multivariate and spatial techniques together identified influences on the Trinity Aquifer including hydrochemical processes, agricultural activities, recharge, and land use. In addition, the techniques aided in identifying areas warranting future monitoring which are located in the western and southwestern parts of the aquifer.

Subject

  • Library of Congress Subject Headings: Groundwater.
  • Keyword: cluster analysis
  • Keyword: factor analysis
  • Keyword: Trinity Aquifer
  • Keyword: multivariate statistics

Collection

  • Name: UNT Theses and Dissertations
    Code: UNTETD

Institution

  • Name: UNT Libraries
    Code: UNT

Rights

  • Rights Access: public
  • Rights Holder: Holland, Jennifer M.
  • Rights License: copyright
  • Rights Statement: Copyright is held by the author, unless otherwise noted. All rights reserved.

Resource Type

  • Thesis or Dissertation

Format

  • Text

Identifier

  • Accession or Local Control No: holland_jennifer_m
  • Archival Resource Key: ark:/67531/metadc84218

Degree

  • Degree Grantor: University of North Texas
  • Academic Department: Department of Geography
  • Degree Discipline: Applied Geography
  • Degree Level: Master's
  • Degree Name: Master of Science
  • Degree Publication Type: thesi
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