Pasini, Antonello and Perrino, Cinzia and Žujić, A. (2003) Non-linear atmospheric stability indices by neural-network modelling. Il nuovo cimento C, 26 (6). pp. 633-638. ISSN 1826-9885
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Abstract
New atmospheric stability indices have been recently developed for the evaluation of primary pollution and the application results show their ability to grasp the physical features of the boundary layer. They are based on radon progeny measurements and multiple linear correlations with benzene. Here, neural networks are used in order to catch non-linearities in the boundary layer and to build nonlinear indices. Their application to the modelling of benzene behaviour shows better prognostic results if compared with those coming from linear indices.
| Item Type: | Article |
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| Uncontrolled Keywords: | Boundary layer structure and processes ; 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: | 13 Mar 2020 16:45 |
| Last Modified: | 13 Mar 2020 16:45 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/15214 |
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