Temporal and spatiotemporal autocorrelation of daily concentrations of Alnus, Betula , and Corylus pollen in Poland

Abstrakt

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.

Autorzy

J. Nowosad
J. Nowosad
A. Stach
A. Stach
I. Kasprzyk
I. Kasprzyk
Łukasz Grewling
Łukasz Grewling
M. Latałowa
M. Latałowa
Małgorzata Puc
Małgorzata Puc
Dorota Myszkowska
Dorota Myszkowska
Kazimiera Chłopek
Kazimiera Chłopek
Barbara Majkowska-Wojciechowska
Barbara Majkowska-Wojciechowska
Agnieszka Uruska
Agnieszka Uruska
artykuł
AEROBIOLOGIA
Angielski
2015
31
2
159-177
inne
Dozwolony użytek
ostateczna wersja opublikowana
w momencie opublikowania
25
1,452
13
11