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Assessing atrazine pollution potential to a drinking water
reservoir using remote sensing and geographic information
system modeling
S. F Atkinson1*,
W.T. Waller2, T.J. Crooks3
1Center
for Remote Sensing, University of North Texas, Denton, Texas,
76203 USA;
2lnstitute of Applied Science,
University of North Texas, Denton, Texas, 76203 USA;
3Kansas Applied Remote Sensing
Unit, University of Kansas, Lawrence, Kansas, 66045 USA.
*Corresponding author: E-mail: atkinson@unt.edu
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Abstract
Water quality monitoring by the City of Dallas, Texas
(US) and the Institute of Applied Science, University of North Texas,
has recently shown elevated atrazine concentrations in the watershed
of a large drinking water reservoir in the Dallas-Fort Worth metropolitan
area serving over 3,000,000 people. Atrazine is under investigation
by numerous researchers as an environmental estrogen that may be
involved in increasing breast cancer incidence in humans and impacting
health and reproductive systems in wildlife. Since treatment technologies
for atrazine removal from finished drinking water can be expensive
and provide no protection to aquatic ecosystem health, watershed
managers are currently seeking proactive methods to reduce the amount
of atrazine entering water supply systems.
The most viable approach for reducing atrazine in a
drinking water reservoir begins with understanding the distribution
and extent of landuse in the watershed where atrazine may be applied.
Understanding the spatial distribution of areas potentially contributing
atrazine runoff facilitates developing an effective atrazine reduction
program of the best management practices that are appropriate to
a particular region. Using remotely sensed satellite imagery and
geographic information system modeling, an analysis of the spatial
distribution of landuse, soil erodibility, and surface slope information
in a large watershed in north central Texas was conducted. An 'atrazine
pollution potential' model was developed and applied to over 224,000
hectares draining into Lake Lewisville which provides drinking water
to Dallas and surrounding communities. Model results compared well
with in situ water quality measurements of atrazine, and point to
areas most in need of best management practice implementation.
Keywords: best management practices, BMPs, environmental
assessment, Lake Lewisville, Trinity River (Texas, US), risk assessment,
watersheds
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