Pollen content in the atmosphere of Lugo (NW Spain) with reference to meteorological factors (1999–2001)

Rodríguez-Rajo, F. J.; Jato, Victoria; Aira, María Jesús

doi:10.1023/b:aero.0000006527.12928.26

Cited by 49 publications

(38 citation statements)

References 32 publications

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“…MPS Main pollen season, T mean mean daily temperature, H rel relative humidity, R daily rainfall, WS mean mean wind speed, df degrees of freedom Based on our analysis of the eight main pollen types (Table 4), the correlations between daily mean pollen concentrations and relative humidity were always negative for both the MPS and pre-peak period, as also found by Ribeiro et al (2003), Stennet and Beggs (2004) and Rizzi-Longo et al (2007). Other researchers have reported significant positive correlations between the daily mean pollen concentrations and temperatures, both during the MPS and the pre-peak period (Jato et al 2002, Rodríguez-Rajo et al 2003, Stennet and Beggs 2004, Angosto et al 2005. Contrary to our findings, Ballero and Maxia (2003) and Rizzi-Longo et al (2007) observed negative correlations between total daily pollen concentrations and temperatures during the MPS.…”

Section: Discussionsupporting

confidence: 82%

Annual pollen spectrum variations in the air of Bratislava (Slovakia): years 2002–2009

et al. 2010

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Pollen grains in the atmosphere of Bratislava were quantitatively and qualitatively analysed during an 8-year period (2002-2009) using a Burkard volumetric pollen trap. The mean annual total pollen grain count recorded during this period was 36,608, belonging to 34 higher plant taxa (22 trees and/or shrubs and 12 herbaceous species). The maximum annual total pollen grain count (50,563) was recorded in 2003 and the minimum (14,172) in 2009. The taxa contributing the highest concentration of pollen grains were Betula, Urticaceae, Cupressaceae-Taxaceae, Populus, Pinus, Poaceae and Ambrosia. During the study period, there was a remarkable increase in the number of pollen grains from February to April, with the highest daily mean pollen counts recorded in April. Total pollen concentration began to decrease markedly in May, but there was a second increase between July and August, followed by a decrease in September. The timing and length of the pollen seasons varied. Betula and Poaceae showed a rather constant 2-year fluctuating rhythm. The relationships between airborne pollen concentration and meteorological variables were assessed. Based on these results, the first pollen calendar in Slovakia has been constructed for the area of Bratislava, which provides a great deal of useful and important information.

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Section: Discussionsupporting

confidence: 82%

Annual pollen spectrum variations in the air of Bratislava (Slovakia): years 2002–2009

et al. 2010

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“…Our results determined a negative correlation between rainfall and daily tree, grass and weed total counts. A negative correlation between rainfall and pollen count has been found in a number of studies (Rodríguez-Rajo et al 2003;Sahney and Chaurasia 2008).…”

Section: Discussionmentioning

confidence: 77%

Pollen counts and their relationship to meteorological factors in Ankara, Turkey during 2005–2008

et al. 2010

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Pollen plays an important role in the development and exacerbation of allergic diseases. We aimed to investigate the days with highest counts of the most allergenic pollens and to identify the meteorological factors affecting pollen counts in the atmosphere of Ankara, Turkey. Airborne pollen measurements were carried out from 2005 to 2008 with a Burkard volumetric 7-day spore trap. Microscope counts were converted into atmospheric concentrations and expressed as pollen grains/m(3). Meteorological parameters were obtained from the State Meteorological Service. All statistical analyses were done with pollen counts obtained from March to October for each year. The percentages of tree, grass and weed pollens were 72.1% (n = 24,923), 12.8% (n = 4,433) and 15.1% (n = 5,219), respectively. The Pinaceae family from tree taxa (39% to 57%) and the Chenopodiaceae/Amaranthaceae family from weed taxa, contributed the highest percentage of pollen (25% to 43%), while from the grass taxa, only the Poaceae family was detected from 2005 to 2008. Poaceae and Chenopodiaceae/Amaranthaceae families, which are the most allergenic pollens, were found in high numbers from May to August in Ankara. In multiple logistic regression analysis, wind speed (OR = 1.18, CI95% = 1.02-1.36, P = 0.023) for tree pollen, daily mean temperature (OR = 1.10, CI95% = 1.04-1.17, P = 0.001) and sunshine hours (OR = 1.15, CI95% = 1.01-1.30, P = 0.033) for grass pollen, and sunshine hours (OR = 3.79, CI95% = 1.03-13.92, P = 0.044) for weed pollen were found as significant risk factors for high pollen count. The pollen calendar and its association with meteorological factors depend mainly on daily temperature, sunshine hours and wind speed, which may help draw the attention of physicians and allergic patients to days with high pollen counts.

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“…In Poland, people sensitive to Poaceae pollen developed the first disease symptoms when exposed to more than 20 APG/m 3 [61]. In Croatia, Hungary and Serbia, the threshold value amounts to 30 APG/ m 3 [16,36], whereas in Spain the first allergy symptoms were observed at 25 APG/m 3 [62]. For children and adolescents from Malmö (Sweden), nose symptom scores increased continuously and linearly with pollen counts from concentrations of 0-30 APG/m 3 , wherefrom symptom severity [64] demonstrated that a concentration of 30 APG/m 3 was sufficient to induce symptoms in most grass-allergic asthmatics in Melbourne, Australia.…”

Section: Discussionmentioning

confidence: 99%

Relation between Poaceae pollen concentrations and meteorological factors during 2000–2010 in Timisoara, Romania

Ianovici

2015

Acta Agrobot

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This paper presents the results of Poaceae pollen seasons from 2000-2010 in Timisoara, Romania. Airborne Poaceae pollen concentrations was high. An increasing trend in the annual totals was observed. The longest pollen season was recorded in the year 2000. The period in which the Poaceae pollen count exceeded the threshold value of 30 grains/m 3 lasted from 9 to 46 days. The present study analyzed the dynamics of pollen seasons in relation to meteorological factors. On the basis of Spearman's correlation test, the strongest positive correlation was found between the Poaceae pollen counts and temperature; and sunshine hours. Daily average relative humidity, atmospheric pressure and precipitation had a negative effect. A multiple regression analysis was applied to determine how much of the total variance in Poaceae pollen counts can be explained by meteorological parameters. The coefficient of determination ranged from 0.245 to 0.460. Our data illustrate the contrasting effects of temperature, wind, relative humidity and rainfall on the concentration of pollen in the air. The optimum conditions for Poaceae pollen release occur during late spring and early summer. The Poaceae pollen remains one of the major aeroallergens in Timisoara area.

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Pollen content in the atmosphere of Lugo (NW Spain) with reference to meteorological factors (1999–2001)

Cited by 49 publications

References 32 publications

Annual pollen spectrum variations in the air of Bratislava (Slovakia): years 2002–2009

Annual pollen spectrum variations in the air of Bratislava (Slovakia): years 2002–2009

Pollen counts and their relationship to meteorological factors in Ankara, Turkey during 2005–2008

Relation between Poaceae pollen concentrations and meteorological factors during 2000–2010 in Timisoara, Romania

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