1.
Introduction

1.1
Motivation
1.2
Objectives
1.3
Scope of study
1.4
Project summary
1.5
Contributions

2.
Literature Review

2.1
GIS - water quality linked models
2.2
GIS models of the water quality
2.3
GIS as a tool for spatial data extraction
2.4
Comparison of proposed method with previos studies
2.4.1
Time domain
2.4.2
Spatial domain
2.4.3
Model formulation

3.
Data and Computer Software

3.1
Data sources
3.1.1
Herbicide and nutrient data
3.1.2
Digital terrain representation
3.1.3
Reach File 1
3.1.4
Atrazine and nitrogen fertilizer use
3.1.5
Hydrologic and climatic data
3.2
Computer software
3.2.1
GIS software
3.2.2
Statistical software

4.
Methodology

4.1
Representative agricultural chemicals
4.1.1
Nitrate
4.1.2
Atrazine
4.2
Selection of analysis region
4.3
Mathematical description
4.3.1
Overview if transport equations
4.3.2
Regression equation development
4.3.3
Agrichemical runoff from field
4.3.4
Transport in rivers
4.3.5
Seasonal variations
4.3.6
Exemplary equations for chemical concentration and load
4.3.7
Extracting values of explanatory variables for the regression analysis
4.3.8
Application of the regression models
4.4
GIS model description
4.4.1
GIS and cascade modeling
4.4.2
Subdivision of study region into modeling units
4.4.3
Unit watershed flow system
4.4.4
Ordering system of the modeling units
4.4.5
Enhancement of the stream delineation process
4.5
Redistribution of the flow record over ungaged rivers
4.5.1
GIS database of monthly flow rate and the precipitation depth
4.5.2
Average precipitation depth in modeling units
4.5.3
Mathematical description
4.6
Exponential decay model
4.6.1
Exponential decay model overview
4.6.2
Travel time approximation

5.
Procedures


5.1
Concentrations and flow measurements
5.2
Preparing data for model parameters estimation
5.2.1
Preparing 500 m (15'') DEM for analysis
5.2.2
Estimation of watershed parameters
5.2.3
Creating grid of sampling sites
5.2.4
Adjusting location of sampling sites
5.2.5
Extracting parameters of the sampled site watersheds
5.2.6
Agrichemical application
5.3
Model selection
5.4
Agrichemical concentrations in the Iowa-Cedar River basin
5.4.1
Creating a map of the flow direction
5.4.2
Map of the modeling unit outlets
5.4.3
Watershed connectivity
5.4.4
Refining modeling units
5.4.5
Database of monthly precipitation depth and monthly flow rate
5.4.6
Average precipitation depth in modeling units
5.4.7
Spatial distribution of flow
5.4.8
Determining input values for the Iowa-Cedar River model
5.5
ArcView model of agrichemical transport
5.5.1
Model overview
5.5.2
Project "Model"
5.5.3
Project "Results"
5.5.4
Project "Flprc"
5.5.5
Project "Tools"

6.
Results

7.
Conclusions

REFERENCES

APPENDIX
A
C-codes
B
Avenue scripts
C
Arc/Info macros--AMLs


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April 27,