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Abstract
The authors propose a statistical model for evaluating the Beginning of the Main Pollen Season (BMPS) of Urticaceae (cf. Parietaria) in Genoa (Italy). For eight consecutive years (1981–1988) the mean daily concentrations of this pollen grain were studied in relation to the two meteorological factors which are most significant in triggering the beginning of maximal pollination, namely, mean daily air temperature and rainfall. From a multiple-regression statistical analysis, a formula has been extrapolated, which, one the basis of these meteorological data for the month of January, can be used to predict the onset of the BMPS to within nine days.