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Prediction of ground subsidence in Samcheok City, Korea using artificial neural networks and GIS

✍ Scribed by Ki-Dong Kim; Saro Lee; Hyun-Joo Oh


Publisher
Springer
Year
2009
Weight
171 KB
Volume
58
Category
Article
ISSN
1432-0495

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## Abstract Neural network techniques combined with Geographical Information Systems (GIS), are used in the spatial prediction of nitrate pollution in groundwaters. Initially, the most important parameters controlling groundwater pollution by nitrates are determined. These include hydraulic conduct