Literature DB >> 2018211

Significance of sampling height of airborne particles for aerobiological information.

A Rantio-Lehtimäki1, A Koivikko, R Kupias, Y Mäkinen, A Pohjola.   

Abstract

Pollen and spore counts from Burkard traps for routine pollen and spore sampling placed at 15 m above ground and at ground level were compared. Daily counts of most pollen types were higher on the ground than at roof level, but the counts were significantly correlated. The ratios of pollen frequencies at high and low levels varied between 1.0 and 11.5. The most prominent differences were recorded for herbaceous pollen (e.g. Artemisia counts 11.5 and Poaccae counts 4.4 times higher at ground level) and in Botrytis and Ustilaginales spores. Tree pollen grains and basidiomycetous spores were more equally distributed. Wind speed did not affect the variation of pollen frequencies at either height. Large spores are not so unevenly distributed as previously supposed. Artemisia and grass pollen was detected 1 to 2 weeks earlier at ground level than on the roof. It is therefore concluded that especially the beginning of flowering should be monitored at a low level.

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Year:  1991        PMID: 2018211     DOI: 10.1111/j.1398-9995.1991.tb00545.x

Source DB:  PubMed          Journal:  Allergy        ISSN: 0105-4538            Impact factor:   13.146


  16 in total

1.  Atmospheric Poaceae pollen frequencies and associations with meteorological parameters in Brisbane, Australia: a 5-year record, 1994-1999.

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Journal:  Int J Biometeorol       Date:  2004-03-02       Impact factor: 3.787

2.  Poaceae pollen in Galicia (N.W. Spain): characterisation and recent trends in atmospheric pollen season.

Authors:  V Jato; F J Rodríguez-Rajo; M C Seijo; M J Aira
Journal:  Int J Biometeorol       Date:  2009-04-04       Impact factor: 3.787

3.  Do urban canyons influence street level grass pollen concentrations?

Authors:  Robert George Peel; Roy Kennedy; Matt Smith; Ole Hertel
Journal:  Int J Biometeorol       Date:  2013-09-15       Impact factor: 3.787

4.  The medical and scientific responsibility of pollen information services.

Authors:  Katharina Bastl; Markus Berger; Karl-Christian Bergmann; Maximilian Kmenta; Uwe Berger
Journal:  Wien Klin Wochenschr       Date:  2016-10-19       Impact factor: 1.704

5.  Spatial distribution of allergenic pollen through a large metropolitan area.

Authors:  Barbora Werchan; Matthias Werchan; Hans-Guido Mücke; Ulrich Gauger; Anke Simoleit; Torsten Zuberbier; Karl-Christian Bergmann
Journal:  Environ Monit Assess       Date:  2017-03-18       Impact factor: 2.513

6.  Predicting the Poaceae pollen season: six month-ahead forecasting and identification of relevant features.

Authors:  Ricardo Navares; José Luis Aznarte
Journal:  Int J Biometeorol       Date:  2016-09-16       Impact factor: 3.787

7.  A numerical model of birch pollen emission and dispersion in the atmosphere. Model evaluation and sensitivity analysis.

Authors:  Pilvi Siljamo; Mikhail Sofiev; Elena Filatova; Łukasz Grewling; Siegfried Jäger; Ekaterina Khoreva; Tapio Linkosalo; Sara Ortega Jimenez; Hanna Ranta; Auli Rantio-Lehtimäki; Anton Svetlov; Laura Veriankaite; Ekaterina Yakovleva; Jaakko Kukkonen
Journal:  Int J Biometeorol       Date:  2012-03-22       Impact factor: 3.787

8.  Levels and determinants of tree pollen in New York City.

Authors:  Kate R Weinberger; Patrick L Kinney; Guy S Robinson; Daniel Sheehan; Iyad Kheirbek; Thomas D Matte; Gina S Lovasi
Journal:  J Expo Sci Environ Epidemiol       Date:  2016-12-21       Impact factor: 5.563

9.  Airborne pollen of allergenic herb species in Toledo (Spain).

Authors:  Consolación Vaquero; Alfonso Rodríguez-Torres; Jesús Rojo; Rosa Pérez-Badia
Journal:  Environ Monit Assess       Date:  2012-02-14       Impact factor: 2.513

10.  Threat of allergenic airborne grass pollen in Szczecin, NW Poland: the dynamics of pollen seasons, effect of meteorological variables and air pollution.

Authors:  Małgorzata Puc
Journal:  Aerobiologia (Bologna)       Date:  2010-11-12       Impact factor: 2.410

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