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.


Issue Date:
2003
Publication Type:
Working or Discussion Paper
PURL Identifier:
http://purl.umn.edu/15825
Total Pages:
10
Series Statement:
FREC Staff Paper ORES SP03-01




 Record created 2017-04-01, last modified 2017-08-24

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