scholarly journals Birch pollen grains in the air of Szczecin in 2000-2004

2012 ◽  
Vol 59 (1) ◽  
pp. 325-333 ◽  
Author(s):  
Małgorzata Puc
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Meteorological Parameters ◽  
Birch Pollen ◽  
Pollen Grains ◽  
Maximum Temperature ◽  
Pollen Concentration ◽  
Pollen Seasons ◽  
The Individual ◽  
Two Peaks

Betula pollen is a common cause of pollinosis in northern and central Europe. The aim of the study was to characterize the birch pollen seasons in Szczecin in 2000 - 2004 and diurnal periodicity of pollen in the air. 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 five studied years the highest concentration of birch pollen in the air was noted in 2003, with the pollen season starting in the middle of April and lasting till the 11<sup>th</sup> of May. The highest pollen count of 5736 grains per 1m<sup>3</sup> was observed in the end of April. Two peaks of the of birch pollen grains per 1m<sup>3</sup> were observed daily. The highest concentration was noted between 2-4 p.m. A positive and statistically significant correlation was found between the birch pollen concentration and air temperature and wind speed. A negative correlation was found in case of the relative humidity. Besides the individual rhythm of pollination, the meteorological conditions are the most important factors influencing the birch pollen concentration in the air.

scholarly journals The course of birch pollen seasons in Sosnowiec (Southern Poland) in 1997–2020 in relation to meteorological conditions

Aerobiologia ◽  
2021 ◽  
Author(s):  
Katarzyna Dąbrowska-Zapart ◽  
Tadeusz Niedźwiedź
Keyword(s):  
Wind Speed ◽  
Pollen Season ◽  
Birch Pollen ◽  
Pollen Grains ◽  
Meteorological Conditions ◽  
Maximum Temperature ◽  
Synoptic Situation ◽  
Pollen Concentrations ◽  
Pollen Seasons ◽  
The Impact

AbstractThe study's main objective was to specify the extent to which weather conditions were related to the course of birch pollen seasons in the years 1997–2020. The impact of atmospheric conditions on the daily concentrations of birch pollen grains, the Annual pollen integral (APIn), and the length of pollen seasons were studied. The dependency between each meteorological condition and various features of the birch pollen season was determined using Spearman’s rho correlation, the Kruskal–Wallis test, and cluster analysis with the k-means method. It has been shown that the duration of sunshine and average air temperature occurring within 14 days preceding the season has the most significant influence on the beginning of a birch pollen season. The value of daily birch pollen concentrations in Sosnowiec showed a statistically significant positive correlation with the duration of sunlight and the average and maximum wind speed. The daily concentration also depended on the synoptic situation: the mass airflow direction, the type of air mass inflow, and the type of weather front. The near-ground temperature influenced the APIn of birch pollen grains during the period of 14 days before the beginning of the season and the meteorological conditions occurring in the summer of the preceding year such as the maximum temperature, duration of sunlight, the maximum and average wind speed, and the relative air humidity. It was concluded that the length of birch pollen seasons decreased year by year.

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 Relationship between Metrological Parameters and Total Airborne Pollen Concentration in Atmosphere of Khartoum City During 2018

2021 ◽  
pp. 93-109
Author(s):  
Ejlal Sanad Mohammed Motwaly ◽  
A.G. Elfadil ◽  
Ahmed Mudawi Musa
Keyword(s):  
Relative Humidity ◽  
Meteorological Parameters ◽  
Airborne Pollen ◽  
Maximum Temperature ◽  
Pollen Concentration ◽  
Spore Trap ◽  
Pollen Concentrations ◽  
The Relationship ◽  
Metrological Parameters ◽  
Airborne Pollen Concentration

This study is aimed to find out the effect and relationship between metrological parameters and total airborne pollen concentration in atmosphere in Khartoum city (Sudan). For that purpose, one-year data during 2018 of Total Airborne Pollen Concentration (TAPC) and meteorological parameters is utilized. Pollen concentration in the atmosphere was measured using Non-volumetric air sampler (Vertical cylinder spore trap). The descriptive statistic of TAPC and metrological parameters were presented. The result showed TAPC in 2018 reached to their maximum in August (37.5/m³), and the minimum in June (14/ m³). Analysis of the relationship between TAPC and meteorological parameters showed that variations in the pollen concentrations were mainly affected by maximum temperature. In addition, there were substantial differences in these relationships in different seasons. In Autumn, they were affected by the rain falls, maximum temperature and relative humidity; in summer, they were affected by maximum temperature; and in winter, they were affected by maximum temperature and relative humidity. Temperature, rain falls and relative humidity promote plant growth and blooming. As well as the results show wind direction was significant on seasonally TAPC especially in Autumn. The results found significant effects between the meteorological on TAPC, were it is showed 72 % are affecting on TAPC refer to meteorological parameters and 28 % refer to another factors.

scholarly journals Caractérisation Du Contenu Pollinique De L’atmosphère De La Commune d’Abomey-Calavi De 2015 À 2017

2017 ◽  
Vol 13 (30) ◽  
pp. 417
Author(s):  
Tchabi F. Lopez ◽  
Tossou G. Monique ◽  
Zanou R. Adéline ◽  
Akoegninou Akpov ◽  
Akpagana Koffi
Keyword(s):  
Wind Speed ◽  
Pollen Analysis ◽  
Meteorological Parameters ◽  
Elaeis Guineensis ◽  
Pollen Grains ◽  
Acacia Auriculiformis ◽  
Maximum Temperature ◽  
Floristic Inventory ◽  
Pollen Content

The Characterization of pollen content of Abomey-Calavi was studied from April 2015 to April 2017, whether two years. A floristic inventory of the species in 7 of the 12 districts of the municipality as well as a collection of pollen grains using the sensor of Hirst were carried out. In total, 104 species in bloom were inventoried each year. Pollen analysis yielded an average of 180 and 182 grains of pollen per cubic meter of air per day from April 2015 to April 2016 and April 2016 to April 2017. They belong to 29 families, 41 genera and 38 species. Among the species inventoried, 47.11% was found in the samples analyzed. The dominant taxa for the two years of study are: Acacia auriculiformis, Poaceae, Combretum indicum and Elaeis guineensis. The daily pollen index of these taxa shows that they are in bloom throughout the year and their main pollination period differs according to the seasons of the year. The correlation is positive between pollen grains and meteorological parameters such as maximum temperature and wind speed but negative between pollen grains, minimum temperature and rainfal.

scholarly journals Analysis of Corylus pollen season in Poland in 2020

Alergoprofil ◽  
2020 ◽  
Vol 16 (1) ◽  
pp. 34-39
Author(s):  
Krystyna Piotrowska-Weryszko ◽  
Agata Konarska ◽  
Małgorzata Puc ◽  
Elżbieta Weryszko-Chmielewska ◽  
Małgorzata Malkiewicz ◽  
...  
Keyword(s):  
Pollen Season ◽  
Pollen Allergy ◽  
Pollen Grains ◽  
Threshold Value ◽  
Early Spring ◽  
Pollen Concentration ◽  
Annual Total ◽  
Pollen Seasons ◽  
Daily Concentration ◽  
The Individual

In Poland hazel is one of the earliest flowering plants and in phenology it belongs to indicator plants that mark the beginning of early spring. Hazel pollen grains contain allergens that are a cause of pollen allergy during the early spring period. The aim of the present study was to compare Corylus pollen seasons in 2020 in the following 11 cities located in different regions of Poland: Szczecin, Bydgoszcz, Zielona Gora, Wroclaw, Opole, Sosnowiec, Piotrkow Trybunalski, Warsaw, Lublin, Olsztyn, and Bialystok. This research was conducted using the volumetric method and Burkard or Lanzoni pollen samplers. Pollen season duration was determined by the 95% method. This study analyzed the specific parameters of the pollen season (start, end, peak value, peak date, annual total) and also determined the number of days with a concentration exceeding the threshold values at which the first allergy symptoms in people sensitized to hazel pollen and symptoms in all allergic patients occur, respectively. The hazel pollen season in 2020 began relatively early, between January 11th and February 2nd. The season start was recorded earliest in Opole and latest in Olsztyn and Bialystok. The study found that the pollen season started earlier in the western part of Poland than in the eastern regions. The highest maximum Corylus pollen concentration was recorded in Lublin (388 P/m3), whereas the lowest one in Bydgoszcz (48 P/m3). The maximum daily concentration of Corylus pollen grains was recorded in different periods in the individual cities, while the peak concentration values occurred between January 31th and March 4th. The highest risk of allergy in people sensitive to the pollen of this taxon was found in Lublin since the most days with a pollen concentration exceeding the threshold value were observed in this city. Lublin was found to have the highest annual total values and they were 1.6–5.6 times higher than in the other cities. The highest annual pollen sums and peak values as well as the highest number of days with a concentration exceeding the threshold value had also been recorded in Lublin previously.

scholarly journals SEASONAL AND INTERANNUAL PATTERN OF METEOROLOGICAL VARIABLES IN CUIABÁ, MATO GROSSO STATE, BRAZIL

2015 ◽  
Vol 33 (3) ◽  
pp. 477 ◽  
Author(s):  
Nadja Gomes Machado ◽  
Marcelo Sacardi Biudes ◽  
Carlos Alexandre Santos Querino ◽  
Victor Hugo De Morais Danelichen ◽  
Maísa Caldas Souza Velasque
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Meteorological Data ◽  
Seasonal Pattern ◽  
Global Radiation ◽  
Meteorological Variables ◽  
Maximum Temperature ◽  
Wet Season ◽  
Agricultural Producers ◽  
Mato Grosso

ABSTRACT. Cuiab´a is located on the border of the Pantanal and Cerrado, in Mato Grosso State, which is recognized as one of the biggest agricultural producers of Brazil. The use of natural resources in a sustainable manner requires knowledge of the regional meteorological variables. Thus, the objective of this study was to characterize the seasonal and interannual pattern of meteorological variables in Cuiab´a. The meteorological data from 1961 to 2011 were provided by the Instituto Nacional de Meteorologia (INMET – National Institute of Meteorology). The results have shown interannual and seasonal variations of precipitation, solar radiation, air temperature and relative humidity, and wind speed and direction, establishing two main distinct seasons (rainy and dry). On average, 89% of the rainfall occurred in the wet season. The annual average values of daily global radiation, mean, minimum and maximum temperature and relative humidity were 15.6 MJ m–2 y–1, 27.9◦C, 23.0◦C, 30.0◦C and 71.6%, respectively. Themaximum temperature and the wind speed had no seasonal pattern. The wind speed average decreased in the NWdirectionand increased in the S direction.Keywords: meteorological variables, climatology, ENSO. RESUMO. Cuiabá está localizado na fronteira do Pantanal com o Cerrado, no Mato Grosso, que é reconhecido como um dos maiores produtores agrícolas do Brasil. A utilização dos recursos naturais de forma sustentável requer o conhecimento das variáveis meteorológicas em escala regional. Assim, o objetivo deste estudo foi caracterizar o padrão sazonal e interanual das variáveis meteorológicas em Cuiabá. Os dados meteorológicos de 1961 a 2011 foram fornecidos pelo Instituto Nacional de Meteorologia (INMET). Os resultados mostraram variações interanuais e sazonais de precipitação, radiação solar, temperatura e umidade relativa do ar e velocidade e direção do vento, estabelecendo duas principais estações distintas (chuvosa e seca). Em média, 89% da precipitação ocorreu na estação chuvosa. Os valores médios anuais de radiação diária global, temperatura do ar média, mínima e máxima e umidade relativa do ar foram 15,6 MJ m–2 y–1, 27,9◦C, 23,0◦C, 30,0◦C e 71,6%, respectivamente. A temperatura máxima e a velocidade do vento não tiveram padrão sazonal. A velocidade média do vento diminuiu na direção NW e aumentou na direção S.Palavras-chave: variáveis meteorológicas, climatologia, ENOS.

scholarly journals Effects of the solar eclipse on 15 January 2010 on the surface O<sub>3</sub>, NO, NO<sub>2</sub>, NH<sub>3</sub>, CO mixing ratio and the meteorological parameters at Thiruvanathapuram, India

2010 ◽  
Vol 28 (6) ◽  
pp. 1199-1205 ◽  
Author(s):  
S. K. Sharma ◽  
T. K. Mandal ◽  
B. C. Arya ◽  
M. Saxena ◽  
D. K. Shukla ◽  
...  
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Solar Eclipse ◽  
Meteorological Parameters ◽  
Total Solar Eclipse ◽  
Ozone Formation ◽  
Mixing Ratio ◽  
Night Time ◽  
Photochemical Ozone ◽  
Surface O3

Abstract. In this paper, we present the effect of total solar eclipse on surface O3, NO, NO2, NH3, CO mixing ratio and the meteorological parameters on 15 January 2010 at Thiruvanathapuram, India. On the day of total solar eclipse (i.e., 15 January 2010), the decrease in mixing ratio of surface O3 and NO2 is observed after the beginning of the solar eclipse events (11:15 to 15:30). Decrease in surface O3 may be due to decreased efficiency of the photochemical ozone formation, whereas, mixing ratio of NO and NH3 have been changed following the night time chemistry. Surface O3 reduced to 20.3 ppb after 22 min of full phase of the eclipse. During the solar eclipse period, the ambient temperature and wind speed have decreased, whereas, relative humidity has increased as expected.

Spatiotemporal Variability of Potential Evaporation in Heihe River Basin Influenced by Irrigation

2020 ◽  
Author(s):  
Congying Han
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Spatial Pattern ◽  
River Basin ◽  
Meteorological Factors ◽  
Heihe River Basin ◽  
Spatiotemporal Variability ◽  
Maximum Temperature ◽  
Heihe River ◽  
Potential Evaporation

&lt;p&gt;&lt;strong&gt;Spatiotemporal Variability of Potential Evaporation in Heihe River Basin Influenced by Irrigation &lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Congying Han&lt;sup&gt;1,2&lt;/sup&gt;, Baozhong Zhang&lt;sup&gt;1,2&lt;/sup&gt;, Songjun Han&lt;sup&gt;1,2&lt;/sup&gt;&lt;/p&gt;&lt;p&gt;&lt;sup&gt;1&lt;/sup&gt; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.&lt;/p&gt;&lt;p&gt;&lt;sup&gt;2&lt;/sup&gt; National Center of Efficient Irrigation Engineering and Technology Research-Beijing, Beijing 100048, China.&lt;/p&gt;&lt;p&gt;Corresponding author: Baozhong Zhang ([email protected])&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Abstract: &lt;/strong&gt;Potential evaporation is a key factor in crop water requirement estimation and agricultural water resource planning. The spatial pattern and temporal changes of potential evaporation calculated by Penman equation (E&lt;sub&gt;Pen&lt;/sub&gt;) (1970-2017) in Heihe River Basin (HRB), Northwest China were evaluated by using data from 10 meteorological stations, with a serious consideration of the influences of irrigation development. Results indicated that the spatial pattern of annual E&lt;sub&gt;Pen&lt;/sub&gt; in HRB was significantly different, among which the E&lt;sub&gt;Pen&lt;/sub&gt; of agricultural sites (average between 1154 mm and 1333 mm) was significantly higher than that of natural sites (average between 794 mm and 899 mm). Besides, the coefficient of spatial variation of the aerodynamic term (E&lt;sub&gt;aero&lt;/sub&gt;) was 0.4, while that of the radiation term (E&lt;sub&gt;rad&lt;/sub&gt;) was 0.09. The agricultural irrigation water withdrawal increased annually before 2000, but decreased significantly after 2000 which was influenced by the agricultural development and the water policy. Coincidentally, the annual variation of E&lt;sub&gt;pen&lt;/sub&gt; in agricultural sites decreased at -40 mm/decade in 1970-2000 but increased at 60 mm/decade in 2001-2017, while that in natural sites with little influence of irrigation, only decreased at -0.5mm/decade in 1970-2000 but increased at 11 mm/decade in 2001-2017. So it was obvious that irrigation influenced E&lt;sub&gt;pen &lt;/sub&gt;significantly and the change of E&lt;sub&gt;pen&lt;/sub&gt; was mainly caused by the aerodynamic term. The analysis of the main meteorological factors that affect E&lt;sub&gt;pen&lt;/sub&gt; showed that wind speed had the greatest impact on E&lt;sub&gt;pen&lt;/sub&gt; of agricultural sites, followed by relative humidity and average temperature, while the meteorological factors that had the greatest impact on E&lt;sub&gt;pen&lt;/sub&gt; of natural sites were maximum temperature, followed by wind speed and relative humidity.&lt;/p&gt;

Assessment of the future climate potential for tourism over Europe using a combination of downscaling approaches and quantitative impact models

2020 ◽  
Author(s):  
Maria Francisca Cardell ◽  
Arnau Amengual ◽  
Romualdo Romero
Keyword(s):  
Climate Change ◽  
Wind Speed ◽  
Relative Humidity ◽  
Future Climate ◽  
Cumulative Distribution ◽  
Maximum Temperature ◽  
Model Errors ◽  
Present Climate ◽  
Ensemble Strategy ◽  
The Future

&lt;p&gt;Europe and particularly, the Mediterranean countries, are among the most visited tourist destinations worldwide, while it is also recognized as one of the most sensitive regions to climate change. Climate is a key resource and even a limiting factor for many types of tourism. Owing to climate change, modified patterns of atmospheric variables such as temperature, rainfall, relative humidity, hours of sunshine and wind speed will likely affect the suitability of the European destinations for certain outdoor leisure activities.&lt;/p&gt;&lt;p&gt;Perspectives on the future of second-generation climate indices for tourism (CIT) that depend on thermal, aesthetic and physical facets are derived using model projected daily atmospheric data and present climate &amp;#8220;observations&amp;#8221;. Specifically, daily series of 2-m maximum temperature, accumulated precipitation, 2-m relative humidity, mean cloud cover and 10-m wind speed from ERA-5 reanalysis are used to derive the present climate potential. For projections, the same daily variables have been obtained from a set of regional climate models (RCMs) included in the European CORDEX project, considering the rcp8.5 future emissions scenario. The adoption of a multi-model ensemble strategy allows quantifying the uncertainties arising from the model errors and the GCM-derived boundary conditions. To properly derive CITs at local scale, a quantile&amp;#8211;quantile adjustment has been applied to the simulated regional scenarios. The method detects changes in the continuous CIT cumulative distribution functions (CDFs) between the recent past and successive time slices of the simulated climate and applies these changes, once calibrated, to the observed CDFs.&amp;#160;&lt;/p&gt;&lt;p&gt;Assessments on the future climate potential for several types of tourist activities in Europe (i.e., sun, sea and sand (3S) tourism, cycling, cultural, football, golf, nautical and hiking) will be presented by applying suitable quantitative indicators of CIT evolutions adapted to regional contexts. It is expected that such kind of information will ultimately benefit the design of mitigation and adaptation strategies of the tourist sector.&lt;/p&gt;

DETERMINATION OF THE CORRELATION BETWEEN INDIVIDUAL METEOROLOGICAL VALUES AT THE BEGINNING OF THE DEPOSITION OF ICE ON THE TERRITORY OF UKRAINE BY THE MONTHS OF THE COLD PERIOD OF THE YEAR DURING 2001-2013 AND THEIR SPATIAL DISTRIBUTION

2019 ◽  
pp. 140-151
Author(s):  
S.I. Pyasetska ◽  
N.P. Grebenyuk ◽  
S.V. Savchuk
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Sea Level ◽  
Meteorological Parameters ◽  
Cold Period ◽  
Sea Level Pressure ◽  
Average Maximum ◽  
Average Relative Humidity ◽  
Maximum Minimum

The article presents the results of the study of the determination of the correlation connection between a number of meteorological values at the beginning of the deposition of ice on the wires of a standard ice-cream machine in certain months of the cold period of the year on the territory of Ukraine during 2001-2013. The research was conducted for 3 winter months, as well as for March and November. The pair of meteorological parameters have been determined at the beginning of the deposition of ice that have a statistically significant correlation coefficient and a spatial-temporal distribution of the distribution in certain months across the territory of Ukraine has been obtained. The most common variant of the statistically significant connection between individual meteorological parameters was the connection between the temperature of the water column (average, maximum, minimum) and relative humidity of air (average, maximum). Thus, for almost all months studied, a statistically significant correlation between the temperature of the vapor (average, maximum, minimum) and relative humidity of air (average, maximum) was established. For the winter months, the correlation coefficient of this connection was positive, and for March and November, it was negative. A widespread version of a statistically significant connection was the relationship between the air temperature (average, maximum, minimum) and the height of the snow cover. This connection for the months studied turned out to be negative. The variants of negative statistically significant connection between average wind speed and average relative humidity of air (January-February, December), average and maximum wind speed and sea-level pressure (November), and also between daily amount precipitation and snow (March), daily rainfall and wind speed (average, maximum), and pressure at sea level (November). During the months of the cold period of the year, statistically significant connections between the air temperature (average, maximum) and pressure at sea level (November), wind speed (average, maximum) and average humidity (January, December), pressure on sea levels and average relative humidity (March). Also, there were isolated cases of statistically significant correlation between snow and sea level pressure (December). The most frequently statistically significant connections between meteorological values at the dates of deposition of ice on the wires of a standard icing machine were observed at stations in the central, northeastern, eastern and separate southern regions.

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