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Modeling Nitrate Concentration In Ground Water Using Regression And Neural Networks

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Author Info
Ramasamy, Nacha
Krishnan, Palaniappa
Bernard, John C.
Ritter, William F.
Abstract

Nitrate concentration in ground water is a major problem in specific agricultural areas. Using regression and neural networks, this study models nitrate concentration in ground water as a function of iron concentration in ground water, season and distance of the well from a poultry house. Results from both techniques are comparable and show that the distance of the well from a poultry house has a significant effect on nitrate concentration in groundwater.

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File URL: http://purl.umn.edu/15825
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Publisher Info
Paper provided by University of Delaware, Department of Food and Resource Economics in its series Staff Papers with number 15825.

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Date of creation: 2003
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Handle: RePEc:ags:udelsp:15825

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Related research
Keywords: Environmental Economics and Policy; Livestock Production/Industries;

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This page was last updated on 2009-12-26.


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