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Analysis of the results of aerial palynological monitoring based on weather data

Novoselova L. V.  (Doctor of Biological Sciences, Professor, Perm State National Research University)

Shklyaev V. A.  (Candidate of Geographical Sciences, Associate Professor, Perm State National Research University; Ural State Research Institute of Regional Environmental Problems, Perm)

Minaeva N. V.  (Doctor of Medical Sciences, Professor, Academician E.A. Wagner Perm State Medical University)

The paper considers the features of the atmospheric transport of pollen grains of 15 allergenic plant species. Analysis of the monitoring results revealed that the most significant amount of pollen grains refers to birch, nettle, pine and poplar. In May, birch and hazel give the main amount of allergic bioaerosol. In the period from June to August, cereals, nettle, wormwood, sorrel, plantain are the source of pollen emission. A good quantitative relationship was found between the content of plantain and sorrel pollen grains; cereals and wormwood; cereals and nettles; hazel and plantain. Based on ten-day data, a relationship was revealed between the number of pollen grains, the number of days with precipitation, and the average ten-day air temperature. Quantitative estimates of this relationship change in different periods of plant flowering and can be both positive and negative. To take into account the direction of the wind accompanying the transfer of bioaerosol, daily radio sounding data for the period from April to August from 2010 to 2019 were used. The grouped data made it possible to obtain that in some years the highest concentration of birch pollen grains in May may not correspond to the predominant direction of the main transport, which may be due to the influence of less distant emission sources.

Keywords:pollen monitoring, pollen grains, pollinosis, allergies, precipitation, ten-day air temperature, atmospheric boundary layer.
 

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Citation link:
Novoselova L. V., Shklyaev V. A., Minaeva N. V. Analysis of the results of aerial palynological monitoring based on weather data // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№09. -С. 49-55 DOI 10.37882/2223-2966.2022.09.24
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