Predicting the grass pollen count from meteorological data with regard to estimating the severity of hayfever symptoms in Melbourne (Australia)

Autor: George F. Schäppi, Philip E. Taylor, J. Kenrick, Cenk Suphioglu, I. A. Staff
Rok vydání: 1998
Předmět:
Zdroj: Aerobiologia. 14:29-37
ISSN: 1573-3025
0393-5965
DOI: 10.1007/bf02694592
Popis: In Melbourne, Australia, grass pollen is the predominant cause of hayfever in late spring and summer. The grass pollen season has been monitored in Melbourne, using a Burkard spore trap, for 13 years (1975–1981, 1985 and 1991–1997). Total counts for grass pollen were highly variable from one season to the next (approximately 1000 to >8000 grains/m3). The daily grass pollen counts also showed a high variability (0 to approximately 400 grains/m3). In this study, the grass pollen counts of the 13 years (12 grass pollen seasons, extending from October to January) have been compared with meteorological data in order to identify the conditions that can determine the daily amounts of grass pollen in the air. It was found that the seasonal total of grass pollen was directly correlated with the rainfall sum of the preceding 12 months (1 September–31 August): seasonal total of grass pollen (counts/m3)=18.161 × rainfall sum of the preceding 12 months (mm) −8541.5 (r s=0.74,P
Databáze: OpenAIRE
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