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Please use this identifier to cite or link to this item: http://dspace.udel.edu:8080/dspace/handle/19716/2343

Title: Modeling Nitrate Concentration in Ground Water Using Regression and Neural Networks
Authors: Ramasamy, Nacha
Krishnan, Palaniappa
Bernard, John C.
Ritter, William F.
Keywords: nitrate concentration
ground water
agricultural areas
neural networks
Issue Date: Jan-2003
Series/Report no.: ;ORES SP03-01
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.
URI: http://dspace.udel.edu:8080/dspace/handle/19716/2343
Appears in Collections:FREC Staff Papers

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