The Development, Evaluation, and Application of ArcPRZM-3 System for Integrated Spatial Modeling of Ground Water Vulnerability to Pesticide Contamination

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Date
2001-08Author
Akbar, Tahir Ali
Publisher
University of Wisconsin-Stevens Point, College of Natural Resources
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http://digital.library.wisc.edu/1793/80784Type
Thesis
Description
Dramatic increase in the use of pesticides since the World War II has helped to
make the United States the largest producer of the food in the world. However this has
also raised many concerns about potential adverse effects on the environment and human
health. About 1.1 billion pounds of pesticides are used each year in the United States for
agricultural production (USGS, 1999). The greatest potential for adverse effects of
pesticides is through the contamination of the Earth's hydrologic systems. Water is
considered one of the primary media in which pesticides are transported. The transport of
a chemical compound in the environment also depends on its persistence (USGS, 1999).
Microorganisms do not break down some pesticides in the natural environment. For
example, DDT and cholorodane can remain in soil, water, and animal tissues for years
and even decades. Some pesticides, such as Carbyl, are relatively unstable in water and
break down to other compounds in days.
The environmental monitoring programs of the mid-70s have revealed
widespread detection of organic chemicals (e.g., pesticides) and microbial pathogens
(e.g., bacteria and viruses) in the nation's ground water. Extensive herbicide use in
agricultural areas, accounting for about 70 percent of total national use of pesticides, has
resulted in widespread occurrence of herbicides in agricultural streams and shallow
ground water (USGS, 1999). The highest rates of detection for the most heavily used
herbicides-atrazine, metolachlor, alachlor, and cyanazine- were found in streams and
shallow ground water in agricultural areas (USGS, 1999).
Non-point source pollutants (NPS) such as pesticides, nitrates, salts and trace
elements are often the result of agricultural activities and can cause ground water
contamination. Nearly 50% of the drinking water needs and 40% of the irrigation water
needs in the United States are met using ground water supplies (USGS, 1999). Non-point
source pollution is considered to be the major contributor to surface and ground water
contamination worldwide (Duda, 1993). It is estimated that 30-50% of the earth's surface
is affected by NPS pollutants (Pimental, 1993). As the world's population continues to
grow, it is important thing to meet the world's food demand. However sustainable
agriculture needs a balance among crop production, environmental impact, and
economics. There is a need to optimize crop production while maintaining economic
stability and minimizing impacts on the environment. Yet, agriculture remains the single
greatest contributor of NPS pollutants to soil and water resources. The degradation of
ground water particularly by NPS pollutants has become a growing public concern
primarily because of the concern over long-term health effects. Non-point source
pollutants pose a tremendous threat to soil and ground water resources because of the
areal extent of their contamination and the difficulty of effective remediation once soils
and ground water are contaminated (Corwin, 1996).
According to National Water-Quality Assessment (NAWQA) Program, about 50
percent of the wells sampled contained one or more pesticides, with the highest detection
frequencies in shallow ground water beneath agricultural and urban areas and the lowest
frequencies in major aquifers, which generally are deeper (USGS, 1999). Although
streams and rivers are more vulnerable than ground water to rapid and widespread
contamination, ground water contamination is extremely difficult to reverse because of
the slow rate of ground water flow (USGS, 1999). Fig. 1 illustrates the percentage of
pesticides found in fish, streams and shallow groundwater (USGS, 1999).
The President's Water Quality Initiative was launched in 1989 due to the concern
that agricultural activities contribute to the contamination of the ground water. The
purpose of this initiative was to relate agricultural activities to ground water quality and
develop farm management programs to protect ground water. Therefore it justifies the
need to develop ArcPRZM-3.
Assessing the environmental impact of NPS pollutants at different scales is a key
component to achieve sustainability of agriculture. Assessment involves the
determination of change of some constituent over time, which can be measured in real
time or predicted with a model. Real-time measurements could reflect current and past
activities, and a model may predict future trends. Because of the volume of the needed
data, the spatial heterogeneity of the earth's surface and subsurface, and the complexity
of solute transport processes, a multidisciplinary and integrated approach is required to
assess the impacts of NPS pollutants (Corwin, 1996).
The objectives of this study were three-fold. First to develop a user-friendly modeling
system for pesticide transport, called ArcPRZM-3, through coupling integrated spatial
Geographic Information System (GIS) and Pesticide Root Zone Model (PRZM-3). The
use of advanced information technologies in this system will help users generate and
synthesize the required information quickly, easily, and cheaply. The system will also be
able to display results in the form of maps, charts, and tables. The second objective of the
study was to evaluate the effectiveness of ArcPRZM-3 to predict pesticide contamination
in ground water of Woodruff County, Arkansas. To accomplish this, ArcPRZM-3 was
tested for two pesticides, bentazon and acifluorfen, and the results were compared with
actual well monitoring data. Sensitivity and uncertainty analyses were performed to
evaluate the system. The third objective was the application of ArcPRZM-3 in three
counties in the Arkansas Delta and its comparison with DRASTIC model. The purpose
was to determine the applicability and efficiency of a coupled GIS simulation model on a
regional scale as compared to a simple overlay and index method.
