scholarly journals Аеропалінологічний спектр м. Дніпропетровськ як основа профілактики сезонної алергії

2013 ◽  
Vol 4 (1) ◽  
pp. 3-9
Author(s):  
V. V. Rodinkova
Keyword(s):  
Airborne Pollen ◽  
Steppe Zone ◽  
Daily Basis ◽  
Hay Fever ◽  
Pollen Calendar ◽  
Pollen Count ◽  
Pollen Monitoring ◽  
Number Of Patients ◽  
Pollen Types ◽  
Pollen Rain

Hay fever is important allergenic complain with number of patients rising year by year. Ukraine holds the leading positions in Europe in accordance with pollinosis morbidity. Therefore, it’s important to determine regional pollen spectrum for all five climatic and geographical zones of the country having certain variety of plants’ allergens. There are just a few cities with a constant pollen monitoring carried out in Ukraine. They are Vinnytsia, Kyiv, Odessa and Lviv. Palynological range of other Ukrainian cities remains unknown or poorly studied. Dnipropetrovsk – Ukrainian city with location in the Central part of the country in the Steppe zone – isn’t exception as well. Thus, the aim of our study was to determine the pattern of airborne pollen distribution and pollen calendar creation for the city of Dnipropetrovsk. Pollen count obtained at Vinnytsia National Pirogov Memorial Medical University (VNMU) by Aerobiology Research Group. Study was held in 2010 from the 17th of March till the 20th of October on daily basis employed volumetric methods using the Burkard trap. It stands on the roof of the Dnipropetrovsk Municipal hospital at 20 meters of a relative height above ground. The air samples were sent by currier mail on weekly basis from Dnipropetrovsk to Vinnytsia for the research term. 51 pollen types were determined during the study period. The aeropalinological research was done for the Dnipropetrovsk at first. Study was conducted in association with the European Aeroallergen Network (EAN). The EAN tools and the software package “Statistica 5.5” were used for data statistical analysis. The study showed prevalence of the airborne herbal pollen types in Dnipropetrovsk. The “weeds : trees” pollen ratio was «88 : 12». Most abundant pollen rain (59% of total annual pollen count) was produced by Ambrosia. The second position with 6% was held by Amaranthus / Chenopodiaceae pollen group and Urtica dioica pollen. Artemisia and other representatives of Asteraceae constituted of 5% each. The most abundant tree pollen rain (4% from total annual count) was produced by the Populus species. Betula pollen was the next having up 2% of annual pollen rain in Dnipropetrovsk. As can be seen, the first arboreal spring-summer pollination wave was not massive in Dnipropetrovsk. It was represented by Populus, Betula, Acer, Fraxinus, Quercus, Ulmus, Pinus, Juglans pollen spread in the end of March, whole April and the first weeks of May mostly. However, the second wave was intensively seen from the mid of July till the mid of October. Important airborne pollen producing taxa were Artemisisia, Ambrosia, Asteraceae, Chenopodiaceae, Urtica, Plantago, Polygonaceae pollen at that time. Important airborne pollen allergens of Poaceae family (grasses) held the 7th position in the total annual pollen rain and were recorded between two pollination waves from the mid of May till the end of June mostly. The worst period for the patients was associated with the Betula, Acer and Quercus pollination from 13th of April  till the mid of May and with Ambrosia and Artemisia pollination from 28th of July, till September, 30. The present airborne pollen calendar should be considered while diagnosing the hay fever symptoms in sensitive patients. It’s important to continue the pollen count and control in Dnіpropetrovsk due to constant changing of climatic and anthropogenic conditions impacting the pollen production and release.

scholarly journals Airborne pollen spectrum and hay fever type prevalence in Vinnitsa, central Ukraine

2015 ◽  
Vol 68 (4) ◽  
pp. 383-389 ◽  
Author(s):  
Victoria Valeriivna Rodinkova
Keyword(s):  
Woody Plants ◽  
Airborne Pollen ◽  
Pollen Grains ◽  
Ambient Air ◽  
Hay Fever ◽  
Urban Atmosphere ◽  
Pollen Spectrum ◽  
Airborne Allergen ◽  
Pollen Types ◽  
Gravimetric Sampling

<p>The article deals with the main pollen spectrum in relation to patients’ sensitivity determined in the ambient air of Vinnitsa city located in central Ukraine. The study performed by gravimetric sampling in the years 1999–2000 and by volumetric sampling in the years 2009–2014 showed that <em>Urtica</em>, <em>Betula</em>, <em>Pinus</em>, <em>Alnus</em>, <em>Fraxinus</em>, <em>Ambrosia</em>, <em>Artemisia</em>, <em>Juglans</em>, <em>Carpinus</em>, <em>Populus</em>, <em>Quercus</em>, <em>Acer</em>, <em>Salix</em>, Poaceae, Amarathaceae, and Polygonaceae pollen grains are prevalent among the airborne allergen types in the urban atmosphere. The principal pollen types remain the same but over time their quantities have changed. The relative abundance of <em>Carpinus</em> and Amaranthaceae airborne pollen decreased while the fraction of <em>Urtica</em> pollen increased in the last decade. From 50 to 69 pollen types were determined in the ambient air depending on the season. From 24 to 27 pollen types represented woody plants and from 22 to 46 pollen types belonged to the herbaceous plants. A considerable decrease in herbal pollen types is noted in the Vinnitsa air at present.</p><p>It was shown that children were sensitive to weed pollen grains, including ragweed, mugwort, and grass, while adults were more sensitive to tree and grass pollen grains. Further studies of the pollen spectrum in the ambient air of this city are required in order to control the hay fever symptoms.</p>

Pollen Taphonomy in a Canyon Stream

1987 ◽  
Vol 28 (3) ◽  
pp. 393-406 ◽  
Author(s):  
Patricia L. Fall
Keyword(s):  
Surface Soil ◽  
Pollen Grains ◽  
Close Correlation ◽  
Soil Samples ◽  
Alluvial Deposits ◽  
Modern Pollen ◽  
Pollen Types ◽  
Pollen Rain ◽  
Arid Steppe ◽  
Turbulent Water

AbstractSurface soil samples from the forested Chuska Mountains to the arid steppe of the Chinle Valley, Northeastern Arizona, show close correlation between modern pollen rain and vegetation. In contrast, modern alluvium is dominated by Pinus pollen throughout the canyon; it reflects neither the surrounding floodplain nor plateau vegetation. Pollen in surface soils is deposited by wind; pollen grains in alluvium are deposited by a stream as sedimentary particles. Clay-size particles correlate significantly with Pinus, Quercus, and Populus pollen. These pollen types settle, as clay does, in slack water. Chenopodiaceae-Amaranthus, Artemisia, other Tubuliflorae, and indeterminate pollen types correlate with sand-size particles, and are deposited by more turbulent water. Fluctuating pollen frequencies in alluvial deposits are related to sedimentology and do not reflect the local or regional vegetation where the sediments were deposited. Alluvial pollen is unreliable for reconstruction of paleoenvironments.

scholarly journals Neural networks for increased accuracy of allergenic pollen monitoring

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Marcel Polling ◽  
Chen Li ◽  
Lu Cao ◽  
Fons Verbeek ◽  
Letty A. de Weger ◽  
...  
Keyword(s):  
Neural Networks ◽  
Airborne Pollen ◽  
Pollen Grains ◽  
Allergenic Pollen ◽  
Herbarium Specimens ◽  
Pollen Monitoring ◽  
Pollen Concentrations ◽  
Source Of Information ◽  
Urticaceae Pollen

AbstractMonitoring of airborne pollen concentrations provides an important source of information for the globally increasing number of hay fever patients. Airborne pollen is traditionally counted under the microscope, but with the latest developments in image recognition methods, automating this process has become feasible. A challenge that persists, however, is that many pollen grains cannot be distinguished beyond the genus or family level using a microscope. Here, we assess the use of Convolutional Neural Networks (CNNs) to increase taxonomic accuracy for airborne pollen. As a case study we use the nettle family (Urticaceae), which contains two main genera (Urtica and Parietaria) common in European landscapes which pollen cannot be separated by trained specialists. While pollen from Urtica species has very low allergenic relevance, pollen from several species of Parietaria is severely allergenic. We collect pollen from both fresh as well as from herbarium specimens and use these without the often used acetolysis step to train the CNN model. The models show that unacetolyzed Urticaceae pollen grains can be distinguished with > 98% accuracy. We then apply our model on before unseen Urticaceae pollen collected from aerobiological samples and show that the genera can be confidently distinguished, despite the more challenging input images that are often overlain by debris. Our method can also be applied to other pollen families in the future and will thus help to make allergenic pollen monitoring more specific.

The Association Between Airborne Pollen Monitoring and Sensitization in the Hot Desert Climate

2020 ◽  
Author(s):  
Maryam Al-Nesf ◽  
Dorra Gharbi ◽  
Hassan M. Mobayed ◽  
Blessing Reena Dason ◽  
Ramzy Mohammed Ali ◽  
...  
Keyword(s):  
Airborne Pollen ◽  
Pollen Monitoring ◽  
Desert Climate

scholarly journals Linking pollen deposition and snow accumulation on the Alto dell'Ortles glacier (South Tyrol, Italy) for sub-seasonal dating of a firn temperate core

2017 ◽  
Vol 11 (2) ◽  
pp. 937-948 ◽  
Author(s):  
Daniela Festi ◽  
Luca Carturan ◽  
Werner Kofler ◽  
Giancarlo dalla Fontana ◽  
Fabrizio de Blasi ◽  
...  
Keyword(s):  
Airborne Pollen ◽  
Ice Cores ◽  
Snow Accumulation ◽  
Balance Model ◽  
Pollen Deposition ◽  
Layer Formation ◽  
Italian Alps ◽  
Pollen Monitoring ◽  
Pollen Content ◽  
Firn Core

Abstract. Dating of ice cores from temperate non-polar glaciers is challenging and often problematic. However, a proper timescale is essential for a correct interpretation of the proxies measured in the cores. Here, we introduce a new method developed to obtain a sub-seasonal timescale relying on statistically measured similarities between pollen spectra obtained from core samples and daily airborne pollen monitoring samples collected in the same area. This approach was developed on a 10 m core retrieved from the temperate-firn portion of Alto dell'Ortles glacier (Eastern Italian Alps), for which a 5-year annual/seasonal timescale already exists. The aim was to considerably improve this timescale, reaching the highest possible temporal resolution and testing the efficiency and limits of pollen as a chronological tool. A test of the new timescale was performed by comparing our results to the output (date of layer formation) of the mass balance model EISModel, during the period encompassed by the timescale. The correspondence of the results supports the new sub-seasonal timescale based on pollen analysis. This comparison also allows us to draw important conclusions on the post-depositional effects of meltwater percolation on the pollen content of the firn core as well as on the climatic interpretation of the pollen signal.

scholarly journals Airborne pollen observations using a multi-wavelength Raman polarization lidar in Finland: characterization of pure pollen types

2020 ◽  
Author(s):  
Xiaoxia Shang ◽  
Elina Giannakaki ◽  
Stephanie Bohlmann ◽  
Maria Filioglou ◽  
Annika Saarto ◽  
...  
Keyword(s):  
Optical Properties ◽  
Airborne Pollen ◽  
Pollen Grains ◽  
Wavelength Dependence ◽  
Depolarization Ratio ◽  
Mean Values ◽  
Pollen Types ◽  
Pine Pollen ◽  
Significant Wavelength ◽  
532 Nm

Abstract. We present a novel algorithm for characterizing the optical properties of pure pollen particles, based on the depolarization values obtained in lidar measurements. The algorithm was first tested and validated through a simulator, and then applied to the lidar observations during a four-month pollen campaign from May to August 2016 at the European Aerosol Research Lidar Network (EARLINET) station in Kuopio (62°44′ N, 27°33′ E), in Eastern Finland. Twenty types of pollen were observed and identified from concurrent measurements with Burkard sampler; Birch (Betula), pine (Pinus), spruce (Picea) and nettle (Urtica) pollen were most abundant, contributing more than 90 % of total pollen load, regarding number concentrations. Mean values of lidar-derived optical properties in the pollen layer were retrieved for four intense pollination periods (IPPs). Lidar ratios at both 355 and 532 nm ranged from 55 to 70 sr for all pollen types, without significant wavelength-dependence. Enhanced depolarization ratio was found when there were pollen grains in the atmosphere, and even higher depolarization ratio (with mean values of 25 % or 14 %) was observed with presence of the more non-spherical spruce or pine pollen. The depolarization ratio at 532 nm of pure pollen particles was assessed, resulting to 24 ± 3 % and 36 ± 5 % for birch and pine pollen, respectively. Pollen optical properties at 1064 nm and 355 nm were also estimated. The backscatter-related Ångström exponent between 532 and 1064 nm was assessed as ~ 0.8 (~ 0.5) for pure birch (pine) pollen, thus the longer wavelength would be better choice to trace pollen in the air. The pollen depolarization ratio at 355 nm of 17 % and 30 % were found for birch and pine pollen, respectively. The depolarization values show a wavelength dependence for pollen. This can be the key parameter for pollen detection and characterization.

scholarly journals Main features of Poaceae pollen season in Madeira region (Portugal)

2015 ◽  
Vol 68 (4) ◽  
pp. 367-372
Author(s):  
Irene Câmara Camacho ◽  
Rita Câmara ◽  
Roberto Camacho
Keyword(s):  
Pollen Season ◽  
Airborne Pollen ◽  
Growing Season ◽  
Onset Date ◽  
Critical Levels ◽  
Pollen Monitoring ◽  
Madeira Island ◽  
Poaceae Pollen ◽  
The Mean ◽  
Low Levels

<p>The pollinic spectrum of the Madeira region is dominated by grass pollen, which also represents an important aeroallergen in Europe. The present work aims to analyze the main features of the Poaceae pollen season in the Madeira region to determine the allergic risk. The study took place in Funchal city, the capital of Madeira Island, over a period of 10 years (2003–2012). The airborne pollen monitoring was carried out with a Hirst type volumetric trap, following well-established guidelines.</p><p>In the atmosphere of Funchal, the mean annual Poaceae pollen index was 229. The mean Poaceae pollen season lasts 275 days, with an onset date in January/March and an end date in November/December. Poaceae counts showed a seasonal variation with 2 distinct peaks: a higher peak between March and June, and the second one in autumn. The peak values occurred mainly between April and June, and the highest peak was 93 grains/m<sup>3</sup>, detected on the 27th May of 2010. The Poaceae pollen remaining at low levels during the whole growing season, presenting a nil to low allergenic risk during most of the study period. Higher critical levels of allergens have been revealed after 2006. In general, the pollen risk from Poaceae lasted only a few days per year, despite the very long pollen season and the abundance of grasses in the landscape of Madeira Island.</p>

Aprpaoches to airborne pollen in SE spain. First survey in murcia: one year of pollen monitoring (1993–94)

Aerobiologia ◽  
1995 ◽  
Vol 11 (3) ◽  
pp. 189-194 ◽  
Author(s):  
Manuel Munuer Giner ◽  
José Sebastián Carrión García ◽  
Juan Guerra Montes
Keyword(s):  
Airborne Pollen ◽  
Se Spain ◽  
Pollen Monitoring ◽  
One Year
Sign in / Sign up

Export Citation Format

Share Document