scholarly journals Seasonal variation in diurnal atmospheric grass pollen concentration profiles

2014 ◽  
Vol 11 (3) ◽  
pp. 821-832 ◽  
Author(s):  
R. G. Peel ◽  
P. V. Ørby ◽  
C. A. Skjøth ◽  
R. Kennedy ◽  
V. Schlünssen ◽  
...  
Keyword(s):  
Grass Pollen ◽  
Pollen Season ◽  
Meteorological Factors ◽  
Time Of Day ◽  
Grass Species ◽  
Pollen Concentration ◽  
Late Season ◽  
Pollen Loads ◽  
Pollen Concentrations ◽  
Atmospheric Pollen

Abstract. In this study, the diurnal atmospheric grass pollen concentration profile within the Danish city of Aarhus was shown to change in a systematic manner as the pollen season progressed. Although diurnal grass pollen profiles can differ greatly from day-to-day, it is common practice to establish the time of day when peak concentrations are most likely to occur using seasonally averaged diurnal profiles. Atmospheric pollen loads are highly dependent upon emissions, and different species of grass are known to flower and emit pollen at different times of the day and during different periods of the pollen season. Pollen concentrations are also influenced by meteorological factors – directly through those parameters that govern pollen dispersion and transport, and indirectly through the weather-driven flowering process. We found that three different profiles dominated the grass pollen season in Aarhus – a twin peak profile during the early season, a single evening profile during the middle of the season, and a single midday peak during the late season. Whilst this variation could not be explained by meteorological factors, no inconsistencies were found with the theory that it was driven by a succession of different grass species with different diurnal flowering patterns dominating atmospheric pollen loads as the season progressed. The potential for exposure was found to be significantly greater during the late-season period than during either the early- or mid-season periods.

scholarly journals Seasonal variation in diurnal atmospheric grass pollen concentration profiles

2013 ◽  
Vol 10 (9) ◽  
pp. 14627-14656 ◽  
Author(s):  
R. G. Peel ◽  
P. V. Ørby ◽  
C. A. Skjøth ◽  
R. Kennedy ◽  
V. Schlünssen ◽  
...  
Keyword(s):  
Grass Pollen ◽  
Pollen Season ◽  
Meteorological Factors ◽  
Time Of Day ◽  
Grass Species ◽  
Pollen Concentration ◽  
Late Season ◽  
Pollen Loads ◽  
Pollen Concentrations ◽  
Atmospheric Pollen

Abstract. In this study, the diurnal atmospheric grass pollen concentration profile within the Danish city of Aarhus was shown to change in a systematic manner as the season progressed. Although diurnal grass pollen profiles can differ greatly from day-to-day, it is common practice to establish the time of day when peak concentrations are most likely to occur using seasonally-averaged diurnal profiles. Atmospheric pollen loads are highly dependent upon emissions, and different species of grass are known to flower and emit pollen at different times of the day and during different periods of the pollen season. Pollen concentrations are also influenced by meteorological factors – directly through those parameters that govern pollen dispersion and transport, and indirectly through the weather-driven flowering process. We found that three different profiles dominated the grass pollen season in Aarhus – a twin peak profile in the early season, a single evening profile in the mid-season, and a single midday peak in the late season. Whilst this variation could not be explained by meteorological factors, no inconsistencies were found with the theory that the variation was driven by a succession of different grass species with different diurnal flowering patterns dominating atmospheric pollen loads as the season progressed. The potential for exposure was found to be significantly greater during the late season period than during either the early or mid season periods.

scholarly journals Meteorological factors and airborne Rumex L. pollen concentration in Lublin

2012 ◽  
Vol 65 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Krystyna Piotrowska
Keyword(s):  
Air Temperature ◽  
Pollen Season ◽  
Meteorological Factors ◽  
Strongly Correlated ◽  
Pollen Concentration ◽  
Pollen Concentrations ◽  
Pollen Seasons ◽  
Spearman’S Correlation ◽  
Seasonal Pollen ◽  
Peak Value

The aim of the present study was to analyse the <i>Rumex</i> pollen season dynamics in Lublin in 2001-2010 and to find relationships between season parameters and meteorological conditions. This study was carried out by the volumetric method using a Lanzoni VPPS 2000 trap. The start and end dates of each season were determined based on the 98% method. The effects of meteorological factors on the <i>Rumex</i> pollen seasons were analysed by employing Spearman’s correlation test. On average, the sorrel pollen season started on 13 May (±7 days), ended on 7 September (±6 days), and lasted nearly four months (±9 days). The highest pollen concentrations were recorded in June and July. A significantly negative correlation was found between season duration and Seasonal Pollen Index (SPI). During shorter pollen seasons, higher pollen counts were recorded. In all study years, the seasons were right-skewed. The pollen concentration was most strongly correlated with humidity and mean air temperature. The season parameters (onset, end, peak date, peak value, SPI value) were primarily dependent on air temperature before and during the pollen season.

scholarly journals The late flowering of invasive species contributes to the increase of Artemisia allergenic pollen in autumn: an analysis of 25 years of aerobiological data (1995–2019) in Trentino-Alto Adige (Northern Italy)

Aerobiologia ◽  
2020 ◽  
Vol 36 (4) ◽  
pp. 669-682 ◽  
Author(s):  
Antonella Cristofori ◽  
Edith Bucher ◽  
Michele Rossi ◽  
Fabiana Cristofolini ◽  
Veronika Kofler ◽  
...  
Keyword(s):  
Invasive Species ◽  
Pollen Season ◽  
Airborne Pollen ◽  
Pollen Grains ◽  
Late Summer ◽  
Natura 2000 ◽  
Allergenic Pollen ◽  
Pollen Concentration ◽  
Pollen Concentrations ◽  
Negative Impacts

AbstractArtemisia pollen is an important aeroallergen in late summer, especially in central and eastern Europe where distinct anemophilous Artemisia spp. produce high amounts of pollen grains. The study aims at: (i) analyzing the temporal pattern of and changes in the Artemisia spp. pollen season; (ii) identifying the Artemisia species responsible for the local airborne pollen load.Daily pollen concentration of Artemisia spp. was analyzed at two sites (BZ and SM) in Trentino-Alto Adige, North Italy, from 1995 to 2019.The analysis of airborne Artemisia pollen concentrations evidences the presence of a bimodal curve, with two peaks, in August and September, respectively. The magnitude of peak concentrations varies across the studied time span for both sites: the maximum concentration at the September peak increases significantly for both the BZ (p < 0.05) and SM (p < 0.001) site. The first peak in the pollen calendar is attributable to native Artemisia species, with A. vulgaris as the most abundant; the second peak is mostly represented by the invasive species A. annua and A. verlotiorum (in constant proportion along the years), which are causing a considerable increase in pollen concentration in the late pollen season in recent years.. The spread of these species can affect human health, increasing the length and severity of allergenic pollen exposure in autumn, as well as plant biodiversity in both natural and cultivated areas, with negative impacts on, e.g., Natura 2000 protected sites and crops.

scholarly journals Oak pollen concentration in the air of selected Polish cities in 2020

Alergoprofil ◽  
2020 ◽  
Vol 16 (4) ◽  
pp. 15-20
Author(s):  
Anna Rapiejko ◽  
Małgorzata Malkiewicz ◽  
Monika Ziemianin ◽  
Aneta Sulborska ◽  
Kazimiera Chłopek ◽  
...  
Keyword(s):  
Pollen Season ◽  
Pollen Grains ◽  
Volumetric Method ◽  
Pollen Concentration ◽  
Total Catch ◽  
Pollen Concentrations ◽  
Oak Pollen ◽  
Annual Total ◽  
High Concentrations

The study aims to compare the oak pollen season in selected Polish cities; Bialystok, Bydgoszcz, Cracow, Katowice, Piotrkow Trybunalski, Lublin, Olsztyn, Opole, Szczecin, Warsaw, and Wroclaw in 2020. Measurements were made using the volumetric method, with a Hirst-type sampler. Oak pollen season, defined as the period with 98% of the annual total catch, started between 14 (in Opole) and 25 April (in Lublin). The season ended on 1 June at the latest;  in Sosnowiec, Bydgoszcz, Olsztyn, and Bialystok. It lasted from 30 to 47 days  (37 days on average). The maximum daily oak pollen concentrations were observed between 24 April and 11 May. The highest annual sum of oak pollen grains (SPI) was recorded in Lublin, while the lowest in Bialystok. The highest concentrations of 596 oak pollen grains/m3 were noted in Lublin on 28 April. The longest exposure to high concentrations of oak pollen (>91 grains/m3), lasting 12-13 days, was recorded in Lublin, Opole, and Wroclaw.

scholarly journals The Simulator of the Timing and Magnitude of Pollen Season (STaMPS) model: a pollen production model for regional emission and transport modeling

2013 ◽  
Vol 6 (2) ◽  
pp. 2325-2368 ◽  
Author(s):  
T. R. Duhl ◽  
R. Zhang ◽  
A. Guenther ◽  
S. H. Chung ◽  
M. T. Salam ◽  
...  
Keyword(s):  
Climate Change ◽  
Pollen Season ◽  
Meteorological Conditions ◽  
Production Model ◽  
Grass Species ◽  
Pollen Production ◽  
Climate Zones ◽  
Pollen Concentrations ◽  
Ipcc Sres ◽  
Vegetation Species

Abstract. A pollen model that simulates the timing and production of wind-dispersed allergenic pollen by terrestrial, temperate vegetation has been developed to quantify how pollen occurrence may be affected by climate change and to investigate how pollen can interact with anthropogenic pollutants to affect human health. The Simulator of the Timing and Magnitude of Pollen Season (STaMPS) model is driven by local meteorological conditions and is designed to be sensitive to climate shifts, as well as flexible with respect to the vegetation species and plant functional types (trees, grasses, etc.) represented and the climate zones simulated. The initial focus for the model is the simulation of the pollen emission potential of important allergenic tree and grass species that typically flower between March–June in Southern California (S. CA), which is characterized by moderate Mediterranean and oceanic climate zones as well as regions of arid desert and arid steppe. Vegetation cover and species composition data are obtained from numerous datasets and a database of allergenic vegetation species, their pollen production potential and relative allergenicities has been developed. For the selected allergenic species and spring-early summer simulation period, temperature is the main driver controlling the timing of pollen release, while precipitation (and temperature, for some species) controls the magnitude of pollen produced. The model provides species-specific pollen potential maps for each day of the simulation period; these are then used by a pollen transport model to simulate ambient pollen concentrations as described in a companion paper (Zhang et al., 2013a), which also presents model evaluation results for the S. CA model domain. The STaMPS model was also used to quantify the possible impact of climate change on pollen season under the IPCC SRES A1B scenario as simulated by the ECHAM5 global climate model. Current (1995–2004) and future (2045–2054) meteorological conditions downscaled using the Weather Research and Forecasting (WRF) model were used to drive STaMPS and generate estimates of the relative magnitude and timing of pollen season for important allergenic tree and grass species that bloom from March through June in a larger domain that covers all of CA and Nevada. Differences in the simulated timing and magnitude of pollen season for the selected allergenic species under current and future climate scenarios are presented. The results suggest that across all of the simulated species, pollen season starts an average of 5–6 days earlier under predicted future climatic conditions with an associated average annual domain-wide temperature increase of about 1°C compared to simulated current conditions. Differences in the amount of pollen produced under the two scenarios vary by species and are affected by the selected simulation period (1 March–30 June). Uncertainties associated with the STaMPS model and future model development plans are also discussed.

scholarly journals Mugwort (Artemisia L.) pollen in aeroplankton of Lublin, 2001-2005

2012 ◽  
Vol 59 (2) ◽  
pp. 121-130
Author(s):  
Elżbieta Weryszko-Chmielewska ◽  
Bogusław M. Kaszewski ◽  
Krystyna Piotrowska
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Negative Correlation ◽  
Pollen Season ◽  
Significant Positive Correlation ◽  
Meteorological Factors ◽  
Pollen Grains ◽  
Volumetric Method ◽  
Pollen Concentration ◽  
The Impact

The course of the <i>Artemisia</i> pollen season was recorded in Lublin over a period of five years: 2001-2005. The volumetric method was applied in the studies, using a VPPS 2000 Lanzoni trap. The length of the season was determined by the 98% method. The impact of several meteorological factors on the start and course of the pollen season was analysed. It was found that in the five-year period studied the mugwort pollen season started in the second or third decade of July and lasted 59-90 days. Maximum concentrations in the range of 103-221 pollen grains in 1 m<sup>3</sup> of air were noted between 2 and 9 August. Annual totals of mugwort pollen grains ranged from 1496 to 2532. A significant positive correlation was demonstrated between the <i>Artemisia</i> pollen concentration and air temperature, and a negative correlation between the pollen concentration and air relative humidity and cloudiness. A significant impact of temperature on the start of the <i>Artemisia</i> pollen season was also found.

scholarly journals Seasonal changes in plant pollen concentrations over recent years in Vinnytsya, Central Ukraine

2018 ◽  
Vol 71 (1) ◽  
Author(s):  
Victoria Rodinkova ◽  
Lilia Kremenska ◽  
Olena Palamarchuk ◽  
Iryna Motruk ◽  
Elena Alexandrova ◽  
...  
Keyword(s):  
Pollen Season ◽  
Peak Shift ◽  
Hay Fever ◽  
Pollen Concentration ◽  
Heat Accumulation ◽  
Spore Trap ◽  
Pollen Concentrations ◽  
Temperature Regimen ◽  
Plant Pollen ◽  
Seasonal Pollen

<p>The control of plant pollen season patterns is especially important in the expectation of climate change, as the timing of potential varying pollen seasons affects the human population. An ever-increasing number of people suffer from hay fever symptoms with varying severity during the pollen season. This paper presents data on the seasonal variations of pollen concentration and the factors which are the likely causes of these variations in Vinnytsya, a city in Central Ukraine, in order to establish the apparent pattern of this variation and so improve the efficiency of hay fever control in Ukraine.</p><p>Pollen counts were obtained by gravimetric and volumetric methods employing a Hirst-type volumetric spore trap.</p><p>Alder (<em>Alnus</em>) and birch (<em>Betula</em>) peaks of pollen release occurred approximately 1 month earlier than was observed at the end of the twentieth century. This was due to the seasonal heat accumulation related to the appropriate temperature regimen registered in January and February prior to the growing season. Other trees – including poplar (<em>Populus</em>), maple (<em>Acer</em>), walnut (<em>Juglans</em>), common hazel (<em>Corylus</em>) – did not show distinct changes in pollen season pattern over the past decades.</p><p>Mean daily temperature seems to be the leading factor promoting early season onset and a seasonal pollen peak shift of the grass and herb flora such as ragweed (<em>Ambrosia</em>). The shift of the ragweed seasonal pollen maximum towards later in the season correlated with higher temperatures during September. Our study has shown that droughts may also significantly decrease the ragweed pollen concentration.</p>

Aerobiology of Grass Pollen in the City Atmosphere of Melbourne: Quantitative Analysis of Seasonal and Diurnal Changes

1979 ◽  
Vol 27 (3) ◽  
pp. 317 ◽  
Author(s):  
IJ Smart ◽  
RB Knox
Keyword(s):  
Grass Pollen ◽  
Quantitative Data ◽  
Pollen Season ◽  
Fungal Spores ◽  
Diurnal Changes ◽  
European Cities ◽  
Pollen Concentrations ◽  
Pollen Seasons ◽  
Pollen Release ◽  
The City

Quantitative data on the seasonal and diurnal incidence of grass pollen in the atmosphere of Melbourne have been obtained by using two Burkard spore traps sited 11 km apart. Grass pollen concentrations are compared with pollen of other plants and fungal spores over two pollen seasons, 1975-76 and 1976-77. At the height of the 1975-76 pollen season, grass pollen concentrations were greatest at night, while at the end of the same season the peak occurred in the late afternoon as has been reported for several European cities. The aerobiological patterns are compared with the time of pollen release in the field from plants of ryegrass (Lolium perenne).

Meteorological factors driving airborne grass pollen concentration in central Iberian Peninsula

Aerobiologia ◽  
2020 ◽  
Vol 36 (3) ◽  
pp. 527-540
Author(s):  
Jorge Romero-Morte ◽  
Jesús Rojo ◽  
Rosa Pérez-Badia
Keyword(s):  
Iberian Peninsula ◽  
Grass Pollen ◽  
Meteorological Factors ◽  
Pollen Concentration

scholarly journals Analysis of the grass (Poaceae L.) pollen seasons in Wrocław, 2003-2010

2012 ◽  
Vol 64 (4) ◽  
pp. 59-66
Author(s):  
Małgorzata Malkiewicz ◽  
Kamilla Klaczak
Keyword(s):  
Cluster Analysis ◽  
Grass Pollen ◽  
Pollen Season ◽  
Volumetric Method ◽  
Pollen Concentration ◽  
Hierarchical Method ◽  
Grass Pollen Season ◽  
Burkard Trap ◽  
Pollen Seasons ◽  
The Mean

The aim of the study was to analyse the grass pollen season dynamics in Wrocław in 2003-2010. The studies were carried out using volumetric method (Burkard trap). Special attentions was paid to differences in pollen season duration and patterns. The pollen season started on average on the 130th day of the year (±10 days) and ended on the 240<sup>th</sup> (±11 days). Peak of pollen seasons occurred between 156<sup>th</sup> and 185<sup>th</sup> day of the year. The mean of SPI value was 2805 (±380). On average, 18 days (±4 days) with a grass pollen concentration of more than 50 grains × m<sup>-3</sup>, and 2 days (±1 day) with concentration of more than 120 grains × m<sup>-3</sup> were recorded during the seasons analysed. Three types of pollen seasons were distinguished on the basis of cluster analysis (the non-hierarchical method of multifeature clustering - the k-means method).

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