Pasini, Antonello and Ameli, F. and Pelino, V. (2001) A neural-network approach to radon short-range forecasting from concentration time series. Il nuovo cimento C, 24 C (2). pp. 331-338. ISSN 1826-9885
|
Text
ncc8716.pdf - Published Version Download (139kB) | Preview |
Official URL: https://www.sif.it/riviste/sif/ncc/econtents/2001/...
Abstract
The relevance of particulate radon progeny measurements for an estimation of the mixing height was recently established. Here, an attempt at a shortrange forecast of radon concentration is presented using a neural-network model applied at a 2-hour based time series. This forecasting activity leads to useful predictions of the mixing height during stability conditions.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Boundary layer structure and processes ; Time series analysis ; Neural networks, fuzzy logic, artificial intelligence |
| Subjects: | 300 Scienze sociali > 360 Problemi e servizi sociali; associazioni > 363 Altri problemi e servizi sociali > 363.7 Problemi ambientali (classificare qui la tutela ambientale; l’effetto dei rifiuti, dell’inquinamento, delle iniziative per controllarli) > 363.73 Inquinamento > 363.739 Inquinamento di specifici ambienti > 363.7392 Inquinamento atmosferico |
| Depositing User: | Marina Spanti |
| Date Deposited: | 10 Mar 2020 18:30 |
| Last Modified: | 10 Mar 2020 18:30 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/14247 |
Actions (login required)
 |
View Item |
