Compartir
Titre
Soft computing models to identify typical meteorological days
Autor(es)
Sujet
Computer Science
Fecha de publicación
2010
Éditeur
Oxford University Press (OUP)
Citación
Logic Journal of IGPL. Volumen 19 (2), pp. 373-383. Oxford University Press (OUP).
Resumen
Soft computing models are capable of identifying patterns that can characterize a ‘typical day’ in terms of its meteorological conditions. This multidisciplinary study examines data on six meteorological parameters gathered in a Spanish city. Data on these and other variables were collected for over 6 months, in 2007, from a pollution measurement station that forms part of a network of similar stations in the Spanish Autonomous Region of Castile–Leon. A comparison of the meteorological data allows relationships to be established between the meteorological variables and the days of the year. One of the main contributions of this study is the selection of appropriate data processing techniques, in order to identify typical days by analysing meteorological variables and aerosol pollutants. Two case studies are analysed in an attempt to identify a typical day in summer and in autumn.
URI
ISSN
1367-0751 (Print) / 1368-9894 (Online)
Aparece en las colecciones
- BISITE. Artículos [290]