Temporal and spatiotemporal autocorrelation of daily concentrations of Alnus, Betula, and Corylus pollen in Poland
| Autor: | Małgorzata Latałowa, Barbara Majkowska-Wojciechowska, Idalia Kasprzyk, Krystyna Piotrowska-Weryszko, Łukasz Grewling, Dorota Myszkowska, Małgorzata Puc, E. Weryszko Chmielewska, A. Uruska, Jakub Nowosad, Alfred Stach, Kazimiera Chłopek |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Betulaceae
Original Paper Tree pollen Allergenic pollen biology Autocorrelation Diurnal temperature variation Immunology Space–time autocorrelation Plant Science biology.organism_classification medicine.disease_cause Diurnal variation Pollen Botany Temporal autocorrelation medicine Weather front Environmental science Immunology and Allergy Physical geography Air mass Pollen count |
| Zdroj: | Aerobiologia |
| Popis: | The aim of the study was to determine the characteristics of temporal and space–time autocorrelation of pollen counts of Alnus, Betula, and Corylus in the air of eight cities in Poland. Daily average pollen concentrations were monitored over 8 years (2001–2005 and 2009–2011) using Hirst-designed volumetric spore traps. The spatial and temporal coherence of data was investigated using the autocorrelation and cross-correlation functions. The calculation and mathematical modelling of 61 correlograms were performed for up to 25 days back. The study revealed an association between temporal variations in Alnus, Betula, and Corylus pollen counts in Poland and three main groups of factors such as: (1) air mass exchange after the passage of a single weather front (30–40 % of pollen count variation); (2) long-lasting factors (50–60 %); and (3) random factors, including diurnal variations and measurements errors (10 %). These results can help to improve the quality of forecasting models. |
| Databáze: | OpenAIRE |
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