MODELING NITRATE CONCENTRATION IN GROUND WATER USING REGRESSION AND NEURAL NETWORKS

Nacha Ramasamy, Palaniappa Krishnan, John Bernard () and William F. Ritter

No 15825, Staff Papers from University of Delaware, Department of Food and Resource Economics

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.

Keywords: Environmental Economics and Policy; Livestock Production/Industries (search for similar items in EconPapers)
Pages: 10
Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:ags:udelsp:15825

DOI: 10.22004/ag.econ.15825

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