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 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 Analysis of Corylus pollen season in Poland in 2021

Alergoprofil ◽  
2021 ◽  
Vol 17 (2) ◽  
pp. 54-59
Author(s):  
Krystyna Piotrowska-Weryszko ◽  
Elżbieta Weryszko-Chmielewska ◽  
Katarzyna Dąbrowska-Zapart ◽  
Monika Ziemianin ◽  
Małgorzata Puc ◽  
...  
Keyword(s):  
Pollen Season ◽  
Pollen Allergy ◽  
Pollen Grains ◽  
Early Spring ◽  
Volumetric Method ◽  
Pollen Concentration ◽  
The Third ◽  
Pollen Seasons ◽  
Daily Concentration ◽  
Peak Value

Corylus produces allergenic pollen grains that appear in the air in early spring and cause pollen allergy in sensitive people. The aim of this study was to compare the Corylus pollen seasons in 2021 in the following 11 cities in Poland: Bialystok, Bydgoszcz, Cracow, Sosnowiec, Lublin, Olsztyn, Piotrkow Trybunalski, Szczecin, Warsaw, Wroclaw, and Zielona Gora. This research was conducted using the volumetric method and Burkard or Lanzoni pollen samplers. Pollen season duration was determined by the 95% method. The hazel pollen season in 2021 began relatively late, between February 20 and March 1. The season start was recorded earliest in Zielona Gora, while latest in Olsztyn. The highest values of maximum Corylus pollen concentration were recorded in Sosnowiec (230 P/m3) and Zielona Gora (213 P/m3), whereas the lowest ones in Bialystok (27 P/m3) and Bydgoszcz (54 P/m3). In most of these cities, the maximum daily concentration of Corylus pollen grains was recorded in the third 10 days of February or at the beginning of March and only in Lublin and Bialystok the peak value occurred later, on March 16 and March 26, respectively. The highest risk of allergy in people sensitive to the pollen of this taxon was found in Lublin, Olsztyn, and Zielona Gora. The highest values of the annual pollen integral were determined in Lublin, similarly to the previous years.

scholarly journals Influence of Meteorological Factors on the Potential Evapotranspiration in Yanhe River Basin, China

2021 ◽  
Author(s):  
yu luo ◽  
Peng Gao ◽  
Xingmin Mu
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Solar Radiation ◽  
River Basin ◽  
Air Temperature ◽  
Hydrological Cycle ◽  
Meteorological Factors ◽  
Potential Evapotranspiration ◽  
Sensitivity Coefficients ◽  
The Impact

Potential evapotranspiration (ET) is an essential component of the hydrological cycle, and quantitative estimation of the influence of meteorological factors on ET can provide a scientific basis for studying the impact mechanisms of climate change. In the present research, the Penman-Monteith method was used to calculate ET. The Mann-Kendall statistical test with the inverse distance weighting were used to analyze the spatiotemporal characteristics of the sensitivity coefficients and contribution rates of meteorological factors to ET to identify the mechanisms underlying changing ET rates. The results showed that the average ET for the Yanhe River Basin, China from 1978–2017 was 935.92 mm. Save for a single location (Ganquan), ET increased over the study period. Generally, the sensitivity coefficients of air temperature (0.08), wind speed at 2 m (0.19), and solar radiation (0.42) were positive, while that of relative humidity was negative (-0.41), although significant spatiotemporal differences were observed. Increasing air temperature and solar radiation contributed 1.09% and 0.55% of the observed rising ET rates, respectively; whereas decreasing wind speed contributed -0.63%, and relative humidity accounted for -0.85%. Therefore, it was concluded that the decrease of relative humidity did not cause the observed ET increase in the basin. The predominant factor driving increasing ET was rising air temperatures, but this too varied significantly by location and time (intra- and interannually). Decreasing wind speed at Ganquan Station decreased ET by -9.16%, and was the primary factor underlying the observed, local “evaporation paradox.” Generally, increases in ET were driven by air temperature, wind speed and solar radiation, whereas decreases were derived from relative humidity.

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 impact of weather conditions on hazel pollen concentration in Sosnowiec (Poland) in 1997–2019

Aerobiologia ◽  
2020 ◽  
Vol 36 (4) ◽  
pp. 697-713
Author(s):  
Katarzyna Dąbrowska-Zapart ◽  
Tadeusz Niedźwiedź
Keyword(s):  
Snow Cover ◽  
Pollen Season ◽  
Pollen Grains ◽  
Weather Conditions ◽  
Pollen Concentration ◽  
Cover Depth ◽  
Sunshine Hours ◽  
Pollen Seasons ◽  
The Impact ◽  
Snow Cover Depth

AbstractThe goal of this study was to compare hazel pollen seasons in Sosnowiec in 1997–2019 and to analyse the impact of weather conditions on these seasons. The measurements were conducted using a volumetric method with a Burkard spore trap. The duration of pollen seasons was determined using the 98% method. SPI (Seasonal Pollen Index) was calculated as the sum of daily pollen concentrations in a given season. The measurements showed that high temperatures in January and February had an impact on the beginning of the hazel pollen season. They revealed that there are positive correlations with temperatures and sunshine hours long before the season, i.e. 210–180 days before. The daily hazel pollen concentration in Sosnowiec showed a positive and statistically significant correlation with air temperature, sunshine hours, and average and maximum wind speed. Negative correlation was demonstrated for snow cover depth and relative humidity of the air. Daily concentration levels depend also on the type of weather front as well as direction of air mass flow and its type. Variance analysis showed that the highest concentrations of hazel pollen grains were recorded when warm air moves from the south and south–western direction, whereas the lowest ones were noted for air moving from the east, south–east, north and north–east directions. Atmospheric precipitation, snow cover depth, and average, maximum, minimum and near-the-ground temperatures in the season also had an impact on the SPI of hazel pollen grains. High positive correlation coefficients were also observed in the case of thermal conditions, sunshine hours, relative humidity and precipitation from July to September in the year preceding a given pollen season. The duration of the hazel pollen season depends on precipitation, snow cover depth and temperature during a given season.

scholarly journals Influence of Meteorological Factors on the Potential Evapotranspiration in Yanhe River Basin, China

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1222
Author(s):  
Yu Luo ◽  
Peng Gao ◽  
Xingmin Mu
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Solar Radiation ◽  
River Basin ◽  
Air Temperature ◽  
Hydrological Cycle ◽  
Meteorological Factors ◽  
Potential Evapotranspiration ◽  
Sensitivity Coefficients ◽  
The Impact

Potential evapotranspiration (ET0) is an essential component of the hydrological cycle, and quantitative estimation of the influence of meteorological factors on ET0 can provide a scientific basis for studying the impact mechanisms of climate change. In the present research, the Penman–Monteith method was used to calculate ET0. The Mann–Kendall statistical test with the inverse distance weighting were used to analyze the spatiotemporal characteristics of the sensitivity coefficients and contribution rates of meteorological factors to ET0 to identify the mechanisms underlying changing ET0 rates. The results showed that the average ET0 for the Yanhe River Basin, China from 1978–2017 was 935.92 mm. Save for a single location (Ganquan), ET0 increased over the study period. Generally, the sensitivity coefficients of air temperature (0.08), wind speed at 2 m (0.19), and solar radiation (0.42) were positive, while that of relative humidity was negative (−0.41), although significant spatiotemporal differences were observed. Increasing air temperature and solar radiation contributed 1.09% and 0.55% of the observed rising ET0 rates, respectively; whereas decreasing wind speed contributed −0.63%, and relative humidity accounted for −0.85%. Therefore, it was concluded that the decrease of relative humidity did not cause the observed ET0 increase in the basin. The predominant factor driving increasing ET0 was rising air temperatures, but this too varied significantly by location and time (intra- and interannually). Decreasing wind speed at Ganquan Station decreased ET0 by −9.16%, and was the primary factor underlying the observed, local “evaporation paradox”. Generally, increase in ET0 was driven by air temperature, wind speed and solar radiation, whereas decrease was derived from relative humidity.

Long-term rewetting of fen peatlands alters the response of water tables to rainfall and temperature

2021 ◽  
Author(s):  
Sate Ahmad ◽  
Haojie Liu ◽  
Shajratul Alam ◽  
Anke Günther ◽  
Gerald Jurasinski ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Water Table ◽  
Air Temperature ◽  
Meteorological Factors ◽  
Water Storage ◽  
Ecosystem Functions ◽  
Effective Measure ◽  
North East ◽  
The Impact

&lt;p&gt;Fens belong to the most threatened ecosystems in Europe. Maintaining a high water table through rewetting is an effective measure to rehabilitate many of their ecosystem functions. However, the impact of meteorological factors such as relative humidity, precipitation and air temperature on water storage and its dynamics is still unclear especially for rewetted fens in the temperate regions. Here, we quantify the impact of meteorological factors on water table dynamics comparing a drained and a rewetted fen in North-East Germany, using multiple linear regression with data from continuous high-resolution (temporal) water level monitoring and weather stations. We found that a 1-degree rise in daily maximum air temperature causes a drop of about 4 mm in the water table in the drained and degraded fen but only a drop of around 2 mm at the rewetted site, mainly through evapotranspiration. Higher minimum relative humidity limits evapotranspiration and is, thus, negatively associated with water table elevation at both sites. Precipitation contributes to recharge, causing the water table to rise almost six times higher at the drained site than at the rewetted site. We attribute the differential impacts of meteorological factors on water table dynamics to (1) differences in vegetation, which acts as surface control and (2) differences in soil properties. We found that for the depths at which the groundwater fluctuates, the peat of the rewetted fen has a higher specific yield compared to the drained fen, causing the water table to rise or recede at smaller rates. A period of 20&amp;#160;years of rewetting was sufficient to form a new layer of organic matter with a substantial fraction of macropores providing water storage capacity and thereby changing water table response. Our study underlines the importance of long-term rewetting and meteorological factors for peatland restoration. Continuous monitoring of water table and vegetation development in rewetted fens is advisable to ensure long-term success, especially under climate change conditions.&lt;/p&gt;

scholarly journals The effect of meteorological conditions on hazel (Corylus spp.) and alder (Alnus spp.) pollen concentration in the air of Szczecin

2012 ◽  
Vol 60 (2) ◽  
pp. 65-70 ◽  
Author(s):  
Małgorzata Puc
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Air Temperature ◽  
Pollen Season ◽  
Meteorological Parameters ◽  
Meteorological Conditions ◽  
Maximum Temperature ◽  
Pollen Count ◽  
Pollen Concentration ◽  
In The Beginning

The aim of the study was to determine seasonal variations in concentrations of hazel and alder pollen count due to meteorological parameters. Measurements were performed using the volumetric method. The analysed meteorological parameters were the maximum temperature, relative humidity, rainfall and wind speed. The beginning and end of a season were established by the 95 % method. During seven years of study, the highest concentration of hazel pollen in the air was noted in 2003 (the total number was two - three times higher than in the other years), with the pollen season starting in most years in the beginning of January and lasting till the end of March or beginning of April. The highest concentration of alder pollen in the air was noted in 2003, similarly as hazel pollen. The pollen season started in the beginning of January (in 2003 and 2006 in the beginning of March) and lasted till the turn of the March and April. The highest pollen count of 674 grains×m<sup>-3</sup> was observed in the end of March. A positive and statistically signifi cant correlation (Pearson's coeffi cient and multiple regression) was found between the hazel and alder pollen concentration and air temperature and wind speed. A negative correlation was found in case of the relative humidity. A lot of analysed correlations were signifi cant (significance level of p=0.05), although the percentage of explained variation (R<sup>2</sup>) was very low. Besides the individual rhythm of pollination, the meteorological conditions are the most important factors (mainly air temperature and wind speed) influencing the analysed pollen concentration in the air.

scholarly journals The influence of meteorological factors on the hazel (Corylus L.) pollen concentration in Sosnowiec in the years 1997-2007

2012 ◽  
Vol 61 (2) ◽  
pp. 49-56 ◽  
Author(s):  
Katarzyna Dąbrowska-Zapart
Keyword(s):  
Relative Humidity ◽  
Pollen Season ◽  
Meteorological Factors ◽  
Pollen Grains ◽  
Weather Conditions ◽  
Zero Temperature ◽  
Spore Trap ◽  
Average Maximum ◽  
Pollen Seasons ◽  
Daily Concentration

An analysis of hazel pollen seasons in Sosnowiec was presented on the basis of data from the years 1997-2007. The research was conducted by means of the volumetric method using a Burkard-type spore trap. The duration of pollen seasons was determined by means of the 98% method. The research demonstrated statistically significant correlations between the average, maximum and minimum temperature, relative humidity as well as the number of days with sub-zero temperature and the beginning of the hazel pollen season. It was demonstrated that the duration of the pollen season depended on air relative humidity, insolation and precipitation during the season and the annual sum depended on the weather conditions of the year preceding pollen production and also the weather conditions two years earlier. Significant correlations were also found between weather conditions and the daily concentration of pollen grains. The daily concentration decreased when relative humidity was high and increased with high insolation and air temperature.

scholarly journals The effect of meteorological factors on the start of the grass pollen season in Lublin in the years 2001-2004

2012 ◽  
Vol 59 (1) ◽  
pp. 365-372 ◽  
Author(s):  
Krystyna Piotrowska
Keyword(s):  
Air Temperature ◽  
Grass Pollen ◽  
Pollen Season ◽  
Meteorological Factors ◽  
Volumetric Method ◽  
Pollen Monitoring ◽  
Grass Pollen Season ◽  
Pollen Seasons ◽  
Maximum Air Temperature

Grasses' pollen produces allergens, which are the main cause of pollinosis in Poland and in many countries of Europe. In Poland the beginning of season falls in different days of May. Pollen monitoring was carried out in Lublin by volumetric method in years 2001-2004 by means of Lanzoni VPPS 2000 trap. Start of grass pollen season was marked by methods 98 % and ∑ 75 as well as by the Clot's method. Differences between them ranged from 1 to 7 days. The most approximate deadlines of beginning of pollen season were qualified according to methods 98 % and the Clot's one, except year 2002. It was defined the pollen season in Lublin begins between 5. and 21. of May. In that study impact of meteorological factors on the beginning dates of pollen seasons was estimated. It was stated statistically positive, essential correlation among the beginning of season and the daily mean, the minimum and maximum air temperature.

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