Ambrosia 2012 free download9/18/2023 Our results suggest that Ambrosia and Populus are reversely related to temperature (negative correlations), while Poaceae exhibit a parallel relationship with precipitation (positive correlations). Both Pearson and Spearman rank correlations were calculated, because the rank correlation is less sensitive than the correlation to outliers that are in the tails of the sample. The data set used covers a 14-year period (1997–2010) and contains daily values of Ambrosia (ragweed), Poaceae (grasses) and Populus (poplar) pollen concentrations, as well as those of temperature and precipitation. Meteorological variables are temperature and precipitation. Pollen characteristics include pollen count parameters (TPA, total annual pollen amount APC, annual peak pollen concentration) and pollen season parameters (start, end and duration of the pollen season). The aim of this study is to analyse the associations between pollen characteristics and meteorological variables, furthermore between the rank of pollen characteristics and the rank of annual values of meteorological variables for Szeged, southern Hungary. Extreme high and low temperatures and precipitation totals may have important effect on daily and annual pollen concentrations.
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