Modeling Nitrate Concentration in Ground Water Using Regression and Neural Networks
| Author(s) | Ramasamy, Nacha | |
| Author(s) | Krishnan, Palaniappa | |
| Author(s) | Bernard, John C. | |
| Author(s) | Ritter, William F. | |
| Date Accessioned | 2004-10-07T20:26:03Z | |
| Date Available | 2004-10-07T20:26:03Z | |
| Publication Date | 2003-01 | |
| 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. | en |
| Extent | 419195 bytes | |
| MIME type | application/pdf | |
| URL | http://udspace.udel.edu/handle/19716/116 | |
| Language | en_US | |
| Publisher | Department of Food and Resources Economics | en |
| Part of Series | SP03-01 | |
| Keywords | Nitrogen | en |
| Keywords | Ground water | en |
| Keywords | Poultry | en |
| Keywords | Neural networks | en |
| Title | Modeling Nitrate Concentration in Ground Water Using Regression and Neural Networks | en |
| Type | Staff Paper | en |