Forecasting model of Corylus, Alnus, and Betula pollen concentration levels using spatiotemporal correlation properties of pollen count

Understanding of the behavior of atmospheric pollen concentration, as well as developing predictive models, can greatly help allergic sufferers. The aims of this study were (i) to determine mean multi-year characteristics of temporal and space–time autocorrelation of the pollen counts of Corylus, Alnus, and Betula in Poland, (ii) to create and evaluate Corylus, Alnus, and Betula pollen concentration levels predictions based on previous pollen count values from given sites, and (ii) to develop spatiotemporal predictive models of Corylus, Alnus, and Betula pollen concentration levels, using preprocessed gridded meteorological data. The monitoring of the concentrations of Corylus, Alnus, and Betula pollen in the air was conducted in 11 cities in Poland. Additionally, AGRI4CAST Interpolated Meteorological Data were used as predictor variables. The autocorrelation and cross-correlation functions were used to investigate temporal and spatial patterns. Random forest method was used to predict the high pollen concentration level of Corylus, Alnus, and Betula. The study provided an understanding of the temporal and spatiotemporal autocorrelation of Corylus, Alnus, and Betula pollen counts. The final models also proved to be capable of pollen levels predicting in continuous areas rather than in a single location.

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Statistical techniques for modeling of Corylus, Alnus, and Betula pollen concentration in the air

Aerobiologia ◽

10.1007/s10453-018-9514-x ◽

2018 ◽

Vol 34 (3) ◽

pp. 301-313 ◽

Cited By ~ 6

Author(s):

Jakub Nowosad ◽

Alfred Stach ◽

Idalia Kasprzyk ◽

Kazimiera Chłopek ◽

Katarzyna Dąbrowska-Zapart ◽

...

Keyword(s):

Statistical Techniques ◽

Pollen Concentration ◽

Betula Pollen

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

Acta Agrobotanica ◽

10.5586/aa.2007.032 ◽

2012 ◽

Vol 60 (2) ◽

pp. 65-70 ◽

Cited By ~ 7

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.

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A study on the spatial and temporal variability in airborne Betula pollen concentration in five cities in Poland using multivariate analyses

The Science of The Total Environment ◽

10.1016/j.scitotenv.2019.01.098 ◽

2019 ◽

Vol 660 ◽

pp. 1070-1078 ◽

Cited By ~ 3

Author(s):

Agnieszka Kubik-Komar ◽

Krystyna Piotrowska-Weryszko ◽

Elżbieta Weryszko-Chmielewska ◽

Izabela Kuna-Broniowska ◽

Kazimiera Chłopek ◽

...

Keyword(s):

Temporal Variability ◽

Multivariate Analyses ◽

Spatial And Temporal Variability ◽

Pollen Concentration ◽

Betula Pollen

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Tobacco Mosaic Virus-Infected Tissue

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100119375 ◽

1985 ◽

Vol 43 ◽

pp. 510-511

Author(s):

Egbert W. Henry

Keyword(s):

Nicotiana Tabacum ◽

Tobacco Mosaic Virus ◽

Chlorogenic Acid ◽

Mosaic Virus ◽

Host Resistance ◽

Oxidative Metabolism ◽

Leaf Tissue ◽

Vein Clearing ◽

Basal Septum ◽

Concentration Levels

Tobacco mosaic virus (TMV) infection has been studied in several investigations of Nicotiana tabacum leaf tissue. Earlier studies have suggested that TMV infection does not have precise infective selectivity vs. specific types of tissues. Also, such tissue conditions as vein banding, vein clearing, liquification and suberization may result from causes other than direct TMV infection. At the present time, it is thought that the plasmodesmata, ectodesmata and perhaps the plasmodesmata of the basal septum may represent the actual or more precise sites of TMV infection.TMV infection has been implicated in elevated levels of oxidative metabolism; also, TMV infection may have a major role in host resistance vs. concentration levels of phenolic-type enzymes. Therefore, enzymes such as polyphenol oxidase, peroxidase and phenylalamine ammonia-lyase may show an increase in activity in response to TMV infection. It has been reported that TMV infection may cause a decrease in o-dihydric phenols (chlorogenic acid) in some tissues.

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Trace nanoanalysis

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100172437 ◽

1994 ◽

Vol 52 ◽

pp. 940-941

Author(s):

D. E. Newbury ◽

R. D. Leapman

Keyword(s):

High Performance ◽

Secondary Ion Mass Spectrometry ◽

Detection Efficiency ◽

Volume Element ◽

And Performance ◽

Trace Constituents ◽

Secondary Ion ◽

Concentration Levels ◽

Structure Properties

Trace constituents, which can be very loosely defined as those present at concentration levels below 1 percent, often exert influence on structure, properties, and performance far greater than what might be estimated from their proportion alone. Defining the role of trace constituents in the microstructure, or indeed even determining their location, makes great demands on the available array of microanalytical tools. These demands become increasingly more challenging as the dimensions of the volume element to be probed become smaller. For example, a cubic volume element of silicon with an edge dimension of 1 micrometer contains approximately 5×1010 atoms. High performance secondary ion mass spectrometry (SIMS) can be used to measure trace constituents to levels of hundreds of parts per billion from such a volume element (e. g., detection of at least 100 atoms to give 10% reproducibility with an overall detection efficiency of 1%, considering ionization, transmission, and counting).

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