Artificial neural network models of relationships between Alternaria spores and meteorological factors in Szczecin (Poland)

Grinn‐Gofroń, Agnieszka; Strzelczak, Agnieszka

doi:10.1007/s00484-008-0182-3

Cited by 38 publications

(20 citation statements)

References 25 publications

(34 reference statements)

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“…However, the case might not be so for spore dispersal (Timmer et al 1998; Peternel et al 2004). The concentration of Alternaria spores in Poland was sometimes strongly correlated with temperature and low air humidity (Stepalska and Wolek 2005; Grinn-Gofron and Strzelczak 2008). Rodriguez-Rajo et al (2005) reported a negative correlation between length and severity of rainfall and concentration of spores.…”

Section: Discussionmentioning

confidence: 99%

Air pollution by allergenic spores of the genus Alternaria in the air of central and eastern Europe

Kasprzyk

Rodinkova

Šaulienė

et al. 2015

Environ Sci Pollut Res

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Spores of the genus Alternaria belong to one of the most prevailing constituents of the air in all regions of the world. They form infectious inoculum of numerous plant species as well as severe inhaled allergies. The aim of this study was to compare the biological pollution with Alternaria spores of the air of 12 cities located in central and eastern Europe. The experiment was done in 2010 and it covered the territory of Latvia (LV), Lithuania (LT), Poland (PL) and Ukraine (UA). The spores were counted using an identical method and standard equipment (7-day Lanzoni volumetric sampler) followed by extensive statistical calculations. The timing of the day of maximum concentration changed mainly along the N-S direction and had a positive correlation with latitude. The most important factor determining the increase in Alternaria spore concentration was the temperature, whereas other weather parameters were not related or of low significance. Regardless of geographical location, the first phase of the season (0–0.9 % of Alternaria spores in the air) was the longest (up to 60 days) and the last (97.5 to 99 %) was the shortest (22 days or less). The means of daily concentrations of Alternaria spores ranged from 11 spores m−3 in Klaipeda (LT, Baltic Sea coast) to 187 in Poznan (west PL, agricultural plain). The threshold value of 80 spores m−3 that triggers the first allergy symptoms was exceeded in 8 to 86 days (Vinnitsa, UA, temperate continental, forest-steppes region). There were considerable differences between the highest number of spores per cubic metre of air, varying from 139 in the north (Klaipeda, LT) to 2,295 in central west (Poznan, PL). The biological pollution by Alternaria spores in several places of central and eastern Europe was high; the number of days exceeding the threshold value of 300 spores m−3 connected with serious health problems of atopic people ranged from 0 to 1 on the north (LV, LT) to 29 in central west (Poznan, PL).

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Section: Discussionmentioning

confidence: 99%

Air pollution by allergenic spores of the genus Alternaria in the air of central and eastern Europe

Kasprzyk

Rodinkova

Šaulienė

et al. 2015

Environ Sci Pollut Res

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“…The maximum abundance of Alternaria spores was observed at the highest values of dew point temperature; however, it was not strong as mean air temperature. Sensitivity analysis of the artificial neural network showed dew point temperatures as the variable positively influencing the presence of Alternaria (Grinn-Gofroń and Strzelczak 2008a). The contrary results for dew point temperature were obtained by Troutt and Levetin (2001).…”

Section: Discussionmentioning

confidence: 99%

“…Most of these studies were based on simple descriptive statistics, such as Pearson or Spearman’s correlation coefficients, or on multiple technique, such as the Duncan multiple range test and multiple regression model (Katial et al 1997; Angulo-Romero et al 1999; Mitakakis et al 2001; Troutt and Levetin 2001; Stennett and Beggs 2004). For the three types of spores ( Alternaria , Cladosporium and Ganoderma ), the predictive models were developed using advanced statistical methods like: artificial neural networks (ANN) and multivariate regression trees (MRT) (Grinn-Gofroń and Strzelczak 2008a, 2008b, 2009, 2011). All these studies put emphasis on the statistical analysis of the correlation between the level of concentration of particular fungal spore types and weather parameters, however do not examine the complex composition of spores and its dependence on meteorological factors.…”

Section: Introductionmentioning

confidence: 99%

Effects of meteorological factors on the composition of selected fungal spores in the air

Grinn‐Gofroń

Bosiacka

2014

Aerobiologia

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The aim of the study was to determine functional relationships between composition of air spora and meteorological factors, using multivariate statistical technique: canonical correspondence analysis (CCA). Analyses were conducted for the data collected during the 4 year (2007)(2008)(2009)(2010) and, in order to show the dynamics of such relationships, for each year separately. The CCA results indicated that all statistically significant variables accounted for 15.3 % of the total variance in the spore data in the 4 years. The largest amount of the total variance was explained in this period by the mean air temperature (9.2 %). The meteorological factors impacted spore composition differently in different years, when analysis was done for each year separately. The highest values of the total variance in the spore data, explained by the statistically significant variables, were found in 2010 (32.3 %), with the highest contribution of mean air temperature (23.8 %). In that year, the above-mentioned parameter had the lowest value in comparison to other years. Canonical correspondence analysis provides not only a comprehensive assessment of the impact of meteorological factors on specific spore combinations in the air, but also informative graphical presentations of the results, illustrating the correlation between the occurrence of particular spore taxa and meteorological variables.

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“…Fungal spores are a biological component that can be found any time of the year in the atmosphere (Lacey, 1981;Burch and Levetin, 2002). Environmental variables, such as temperature and moisture, can influence growth and reproduction in fungi which makes airborne spore concentrations to fluctuate seasonally (Grinn-Gofrón and Strzelczak, 2008;Pakpour et al, 2015). However, it has also been observed that local climate, vegetation patterns, and management of landscape are governing parameters for the overall spore concentration, while the annual variations caused by weather, although not negligible, are of secondary importance (Skjøth et al, 2016).…”

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confidence: 99%

Near-surface and columnar measurements with a micro pulse lidar of atmospheric pollen in Barcelona, Spain

et al. 2016

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Abstract. We present for the first time continuous hourly measurements of pollen near-surface concentration and lidarderived profiles of particle backscatter coefficients and of volume and particle depolarization ratios during a 5-day pollination event observed in Barcelona, Spain, between 27 and 31 March 2015. Daily average concentrations ranged from 1082 to 2830 pollen m −3 . Platanus and Pinus pollen types represented together more than 80 % of the total pollen. Maximum hourly pollen concentrations of 4700 and 1200 m −3 were found for Platanus and Pinus, respectively. Every day a clear diurnal cycle caused by the vertical transport of the airborne pollen was visible on the lidar-derived profiles with maxima usually reached between 12:00 and 15:00 UT. A method based on the lidar polarization capabilities was used to retrieve the contribution of the pollen to the total aerosol optical depth (AOD). On average the diurnal (09:00-17:00 UT) pollen AOD was 0.05, which represented 29 % of the total AOD. Maximum values of the pollen AOD and its contribution to the total AOD reached 0.12 and 78 %, respectively. The diurnal means of the volume and particle depolarization ratios in the pollen plume were 0.08 and 0.14, with hourly maxima of 0.18 and 0.33, respectively. The diurnal mean of the height of the pollen plume was found at 1.24 km with maxima varying in the range of 1.47-1.78 km. A correlation study is performed (1) between the depolarization ratios and the pollen near-surface concentration to evaluate the ability of the former parameter to monitor pollen release and (2) between the depolarization ratios as well as pollen AOD and surface downward solar fluxes, which cause the atmospheric turbulences responsible for the particle vertical motion, to examine the dependency of the depolarization ratios and the pollen AOD upon solar fluxes. For the volume depolarization ratio the first correlation study yields to correlation coefficients ranging 0.00-0.81 and the second to correlation coefficients ranging 0.49-0.86.

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Artificial neural network models of relationships between Alternaria spores and meteorological factors in Szczecin (Poland)

Cited by 38 publications

References 25 publications

Air pollution by allergenic spores of the genus Alternaria in the air of central and eastern Europe

Air pollution by allergenic spores of the genus Alternaria in the air of central and eastern Europe

Effects of meteorological factors on the composition of selected fungal spores in the air

Near-surface and columnar measurements with a micro pulse lidar of atmospheric pollen in Barcelona, Spain

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