Objective:To explore the distribution of airborne pollen in summer and autumn in Taiyuan, analyze the correlation between pollen characteristics, meteorological factors and allergic sensitization, and provide for the prevention and treatment of allergic diseases in this. Methods:The gravity sedimentation method was used to investigate the types, quantities and dispersion patterns of airborne pollen in Taiyuan City from July 21, 2022 to October 20, 2022. he meteorological and patient information was collected during the same period SPSS 26.0 software. Results:①A total of 17 118 pollen grains were collected, and identified as 14 families, 10 genera, and 4 species. The peak period for pollen dispersal in summer and autumn in Taiyuan City from late August to early September. airborne pollen Artemisia(66.62%), Cannabis/Humulus(17.79%), Sophora japonica(8.18%), Chenopodiaceae/Amaranthaceae(2.83%), Gramineae(2.11%). ②The concentration of airborne pollen in Taiyuan City positively correlated with the average temperature(5-20℃) and maximum temperature(11-30℃) within a certain range(r=0.547, 0.315, P<0.05). ③The content of airborne pollen in Taiyuan City positively correlated with the number of visits and allergen positive rate of patients with allergic rhinitis(AR) in our hospital(r=0.702, 0.747, P<0.05). Conclusion:The peak period for airborne pollen dispersal during the summer and autumn seasons in Taiyuan City from late August to early September. The dominant pollen is Artemisia, Cannabis/Humulus, Sophora japonica, Chenopodiaceae/Amaranthaceae, Gramineae, and the absolute advantage pollen is Artemisia. Meteorological factors pollen content. Within a certain range, temperature the diffusion and transportation of pollen. The number of pollen grains the number of visits, which can serve as an environmental warning indicator for AR patients to take preventive, thereby reducing the risk of allergies.
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