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Using GIS and logistic regression to estimate agricultural chemical concentrations in rivers of the midwestern USA

IAHS-AISH Publication

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Abstract

Agricultural chemicals (herbicides, insecticides, other pesticides and fertilizers) in surface water may constitute a human health risk. Recent research on unregulated rivers in the midwestern USA documents that elevated concentrations of herbicides occur for 1-4 months following application in spring and early summer. In contrast, nitrate concentrations in unregulated rivers are elevated during the fall, winter and spring. Natural and anthropogenic variables of river drainage basins, such as soil permeability, the amount of agricultural chemicals applied or percentage of land planted in corn, affect agricultural chemical concentrations in rivers. Logistic regression (LGR) models are used to investigate relations between various drainage basin variables and the concentration of selected agricultural chemicals in rivers. The method is successful in contributing to the understanding of agricultural chemical concentration in rivers. Overall accuracies of the best LGR models, defined as the number of correct classifications divided by the number of attempted classifications, averaged about 66%.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Using GIS and logistic regression to estimate agricultural chemical concentrations in rivers of the midwestern USA
Series title:
IAHS-AISH Publication
Issue:
235
Year Published:
1996
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
IAHS-AISH Publication
First page:
253
Last page:
260
Number of Pages:
8