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Please use this identifier to cite or link to this item: http://dspace.udel.edu:8080/dspace/handle/19716/2344

Title: Modeling Nitrogen Loading Rate to Delaware Lakes Using Regression and Neural Networks
Authors: Sudhakar, Prachi
Krishnan, Palaniappa
Bernard, John C.
Ritter, William F.
Keywords: nitrogen
nitrogen-loading
neural networks
Delaware lakes and streams
broiler production
watershed
Issue Date: Jan-2003
Series/Report no.: ;ORES SP03-02
Abstract: The objective of this research was to predict the nitrogen-loading rate to Delaware lakes and streams using regression analysis and neural networks. Both models relate nitrogen-loading rate to cropland, soil type and presence of broiler production. Dummy variables were used to represent soil type and the presence of broiler production at a watershed. Data collected by Ritter & Harris (1984) was used in this research.
URI: http://dspace.udel.edu:8080/dspace/handle/19716/2344
Appears in Collections:FREC Staff Papers

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