MODELING NITRATE CONCENTRATION IN GROUND WATER USING REGRESSION AND NEURAL NETWORKS

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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Year of publication:	2003
Authors:	Ramasamy, Nacha ; Krishnan, Palaniappa ; Bernard, John C. ; Ritter, William F.
Institutions:	Department of Applied Economics and Statistics, University of Delaware
Subject:	Environmental Economics and Policy \| Livestock Production/Industries

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Extent:	application/pdf
Series:	Staff Papers.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series Department of Food and Resource Economics>Staff Papers Number 15825
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005339074