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Ongoing and future climate change driven expansion of aeroallergen-producing plant species comprise a major human health problem across Europe and elsewhere. There is an urgent need to produce accurate, temporally dynamic maps at the continental level, especially in the context of climate uncertainty. This study aimed to restore missing daily ragweed pollen data sets for Europe, to produce phenological maps of ragweed pollen, resulting in the most complete and detailed high-resolution ragweed pollen concentration maps to date. To achieve this, we have developed two statistical procedures, a Gaussian method (GM) and deep learning (DL) for restoring missing daily ragweed pollen data sets, based on the plant's reproductive and growth (phenological, pollen production and frost-related) characteristics. DL model performances were consistently better for estimating seasonal pollen integrals than those of the GM approach. These are the first published modelled maps using altitude correction and flowering phenology to recover missing pollen information. We created a web page (http://euragweedpollen.gmf.u-szeged.hu/), including daily ragweed pollen concentration data sets of the stations examined and their restored daily data, allowing one to upload newly measured or recovered daily data. Generation of these maps provides a means to track pollen impacts in the context of climatic shifts, identify geographical regions with high pollen exposure, determine areas of future vulnerability, apply spatially-explicit mitigation measures and prioritize management interventions.

Метою дослідження був аналіз особливостей та асиметрії розподілу пилку амброзії по днях палінації у повітрі міста Запоріжжя в період з 2006 по 2016 роки та порівняння отриманих результатів з нормальним розподілом. Результати, отримані в ході проведення досліджень, дозволять збільшити точність прогнозування аероалергенної ситуації та поліпшити профілактику полінозів, що викликаються пилком цієї рослини, For today ambrosia pollen is probably the most important factor of the season allergy in sensitive layers of population and can provoke even the bronchial asthma development. To improve the prophylaxis of allergic diseases, caused by pollen of this plant and to raise the quality of the air-allergenic situation prognostication, it is necessary not only realize monitoring observations, but also to search for interconnections between the amount of ambrosia pollen and factors of environment, able to change its concentration in a cubic meter of atmospheric air essentially. The aim of the research was to analyze some features and asymmetry of ambrosia pollen distribution for pollination days for Zaporizhia city. The period 2006 - 2016 was taken into account in the study. The obtained data were compared with the normal distribution. Monitoring observations were carried out using the volumetric trap, which prototype was a Thirst trap, and obtained preparations were studied under a microscope, the recalculation of the amount of ambrosia pollen in a cubic meter of atmospheric air was realized and the statistic analysis of the obtained results was done using «STATISTICA® program for Windows 6.0». It was established, that the distribution of ambrosia pollen in atmospheric air of Zaporizhia city for blossoming days corresponds to the normal level, and the inessential asymmetry may be caused by the effect of exogenic factors, for example, meteorological conditions. So, for constructing the more precise prognosis of air-allergenic situation, caused by ambrosia pollen, it is expedient to take into account the influence of meteorological factors on pollination