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University of North Texas

Stream water quality corridor assessment and management using spatial analysis techniques: Introduction, evaluation, and implementation of the WQCM model.

Abstract

dc:description

The rapid development of once-rural landscapes often produces detrimental effects on surface water quality entering local reservoirs through vulnerable stream channels. This study presents a methodology that incorporates geographic information systems (GIS) and remote sensing techniques for the creation of a stream corridor evaluation mechanism, coined the water quality corridor management (WQCM) model. Specifically, the study focuses on determining the viability of the WQCM model in assessing the stream corridor conditions within a northern Denton County pilot study region. These results will aid in the prediction and evaluation of the quality of stream water entering reservoirs that serve as the primary drinking water source for local municipalities.

Degree

thesis:*
Grantor dc:publisher
University of North Texas
Year dc:date
2007

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • English, April R.
Contributors dc:contributor
  • Atkinson, Samuel F.
  • Zimmerman, Earl G.
  • Hunter, Bruce

Subjects

dc:subject × 9

Rights

dc:rights
Statement dc:rights
  • Public
  • Copyright
  • English, April R.
  • Copyright is held by the author, unless otherwise noted. All rights reserved.
Language dc:language
English

Identifiers

dc:identifier.*
Identifier
oclc: 191800630
https://digital.library.unt.edu/ark:/67531/metadc3976/
ark: ark:/67531/metadc3976
OAI identifier oai:identifier
info:ark/67531/metadc3976

Chain of custody

source
Harvested from
University of North Texas
Base URL
digital.library.unt.edu/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

English, April R.. Stream water quality corridor assessment and management using spatial analysis techniques: Introduction, evaluation, and implementation of the WQCM model.. University of North Texas, 2007. https://doi.org/10.12794/metadc3976