Cargando…
Artificial neural network model of the relationship between Betula pollen and meteorological factors in Szczecin (Poland)
Birch pollen is one of the main causes of allergy during spring and early summer in northern and central Europe. The aim of this study was to create a forecast model that can accurately predict daily average concentrations of Betula sp. pollen grains in the atmosphere of Szczecin, Poland. In order t...
Autor principal: | Puc, Małgorzata |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278628/ https://www.ncbi.nlm.nih.gov/pubmed/21573820 http://dx.doi.org/10.1007/s00484-011-0446-1 |
Ejemplares similares
-
Threat of allergenic airborne grass pollen in Szczecin, NW Poland: the dynamics of pollen seasons, effect of meteorological variables and air pollution
por: Puc, Małgorzata
Publicado: (2010) -
The effect of meteorological factors on airborne Betula pollen concentrations in Lublin (Poland)
por: Piotrowska, Krystyna, et al.
Publicado: (2012) -
Variation in the Concentration of Tilia spp. Pollen in the Aeroplankton of Lublin and Szczecin, Poland
por: Weryszko-Chmielewska, Elżbieta, et al.
Publicado: (2023) -
Temporal and spatiotemporal autocorrelation of daily concentrations of Alnus, Betula, and Corylus pollen in Poland
por: Nowosad, J., et al.
Publicado: (2014) -
Airborne Aspergillus and Penicillium in the atmosphere of Szczecin, (Poland) (2004–2009)
por: Grinn-Gofroń, Agnieszka
Publicado: (2010)