| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6341981 | Atmospheric Environment | 2012 | 6 Pages |
Abstract
⺠The performance of statistical PM10 forecasting models is shown. ⺠Reasonable accuracy is achieved with a neural network model (ANN). ⺠Improvement in accuracy of high concentrations forecasting is obtained with a nearest neighbor model (NNM). ⺠Increase of false alarms episodes is observed with NNM. ⺠Combination of the ANN and NNM provides a near optimal PM10 operational forecasting system.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Atmospheric Science
Authors
Patricio Perez,