Temporal and spatiotemporal autocorrelation of daily concentrations of Alnus, Betula, and Corylus pollen in Poland
Authors:
- Jakub Nowosad,
- Alfred Stach,
- I. Kasprzyk,
- Łukasz Grewling,
- M. Latałowa,
- M. Puc,
- D. Myszkowska,
- E. Weryszko- Chmielewska,
- K. Piotrowska-Weryszko,
- K. Chłopek,
- B. Majkowska-Wojciechowska,
- Agnieszka Uruska
Abstract
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.
- Record ID
- UAMbf7a653f91d04d38a41d375f52d47378
- Author
- Journal series
- Aerobiologia, ISSN 0393-5965
- Issue year
- 2015
- Vol
- 31
- Pages
- 159-177
- ASJC Classification
- ; ;
- DOI
- DOI:10.1007/s10453-014-9354-2 Opening in a new tab
- Language
- (en) English
- Score (nominal)
- 25
- Score source
- journalList
- Score
- Publication indicators
- = 13; = 11; = 14; : 2015 = 0.806; : 2015 (2 years) = 1.452 - 2015 (5 years) =1.565
- Citation count
- 14
- Uniform Resource Identifier
- https://researchportal.amu.edu.pl/info/article/UAMbf7a653f91d04d38a41d375f52d47378/
- URN
urn:amu-prod:UAMbf7a653f91d04d38a41d375f52d47378
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.