Models for forecasting airborne Cupressaceae pollen levels in central Spain.
作者： Silvia Sabariego , Pedro Cuesta , Federico Fernández-González , Rosa Pérez-Badia
DOI: 10.1007/S00484-011-0423-8
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摘要: The influence of meteorological variables on airborne Cupressaceae pollen levels in central Spain was analyzed, and prediction models based polynomial multiple regressions were used to predict counts throughout the season. type selected view both its abundance atmosphere Iberian Peninsula (particularly from January March) allergenic importance. Sampling performed uninterruptedly over a 5-year period, using Hirst volumetric sampler sampling method established by Spanish Aerobiology Network. Temperature displayed strongest (positive) correlation with counts. Polynomial regression analysis showed that maximum temperature most influential variable included models. equations obtained for study period reasonably satisfactory, accounting 48% 59% variation levels.
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