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Predication of air pollution using spatial stochastic process | ||
| Tikrit Journal For Administration & Economics Sciences | ||
| Article 1, Volume 8, Issue 26, 2012, Pages 268-280 | ||
| Abstract | ||
| ABSTRACT To predict the random spatial processes (known kriging technique) that give a good results depending on the function variogram to find predictions. In this paper, we reviewed a number of methods of prediction. The application using kriging complete appropriate to nonstationary data, taking data from abiological experiment in department of biology, to measure air pollution gas carbon dioxide around the Baiji refinery, we have created assessment function and predicting for pollution two-dimensional and the results were close to reality. | ||
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