Abstract
Abstract A model which simulates emission and dispersion of pollen of Japanese cedar (Cryptomeria japonica D. Don) was developed in order to calculate the mesoscale distribution of airborne pollen, using AMeDAS data, vegetation maps of cedar, and pollen sampling data. The relationship between the amount of airborne pollen and various meteorological elements was investigated. Deviations in air temperature and wind speed from the mean value of the past few weeks showed the highest correlation coefficients with the amount of airborne pollen. On the basis of these relationships, a pollen emission sub-model was constructed. A pollen transport and diffusion sub-model was constructed using the diffusion theory. All calculations were made on the basis of a 10 km by 10 km grid system. The complete model which was composed of these sub-models and several sub-routines, was checked by comparison with measured pollen data. This showed that the complete model was able to simulate daily variation of airborne pollen and ...
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