Literature DB >> 22744802

Effect of meteorological parameters on Poaceae pollen in the atmosphere of Tetouan (NW Morocco).

Nadia Aboulaich1, Lamiaa Achmakh, Hassan Bouziane, M Mar Trigo, Marta Recio, Mohamed Kadiri, Baltasar Cabezudo, Hassane Riadi, Mohamed Kazzaz.   

Abstract

Poaceae pollen is one of the most prevalent aeroallergens causing allergenic reactions. The aim of this study was to characterise the grass pollen season in Tetouan during the years 2008-2010, to analyse the effect of some meteorological parameters on the incidence of the airborne Poaceae pollen, and to establish forecasting variables for daily pollen concentrations. Aerobiological sampling was undertaken over three seasons using the volumetric method. The pollen season started in April and showed the highest pollen index in May and June, when the maximum temperature ranged from 23 to 27 °C, respectively. The annual pollen score recorded varied from year to year between 2,588 and 5,404. The main pollen season lasted 114-173 days, with peak days occurring mainly in May; the highest concentration reached 308 pollen grains/m(3). Air temperature was the most important meteorological parameter and correlated positively to daily pollen concentration increase. An increase in relative humidity and precipitation was usually related to a decrease in airborne pollen content. External validation of the models performed using data from 2011 showed that Poaceae pollen concentration can be highly predicted (64.2-78.6 %) from the maximum temperature, its mean concentration for the same day in other years, and its concentration recorded on the previous day. Sensitive patients suffering allergy to Poaceae pollen are at moderate to highest risk of manifesting allergic symptoms to grass pollen over 33-42 days. The results obtained provide new information on the quantitative contribution of the Poaceae pollen to the airborne pollen of Tetouan and on its temporal distribution. Airborne pollen can be surveyed and forecast in order to warn the atopic population.

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Year:  2012        PMID: 22744802     DOI: 10.1007/s00484-012-0566-2

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  13 in total

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Authors:  Brett James Green; Mary Dettmann; Eija Yli-Panula; Shannon Rutherford; Rod Simpson
Journal:  Int J Biometeorol       Date:  2004-03-02       Impact factor: 3.787

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Journal:  J Environ Monit       Date:  2010-01-25

5.  The use of discriminant analysis and neural networks to forecast the severity of the Poaceae pollen season in a region with a typical Mediterranean climate.

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Journal:  Int J Biometeorol       Date:  2005-03-24       Impact factor: 3.787

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Journal:  Rev Mal Respir       Date:  2001-10       Impact factor: 0.622

8.  Forecasting the start of the pollen season of Poaceae: evaluation of some methods based on meteorological factors.

Authors:  M Laaidi
Journal:  Int J Biometeorol       Date:  2001-02       Impact factor: 3.787

9.  Pollen allergy in the Bilbao area (European Atlantic seaboard climate): pollination forecasting methods.

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Journal:  Neural Netw       Date:  2009-06-27
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Journal:  Int J Biometeorol       Date:  2016-08-04       Impact factor: 3.787

Review 2.  Molecular biomarkers for grass pollen immunotherapy.

Authors:  Florin-Dan Popescu
Journal:  World J Methodol       Date:  2014-03-26

3.  Prediction of airborne pollen concentrations by artificial neural network and their relationship with meteorological parameters and air pollutants.

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Journal:  J Environ Health Sci Eng       Date:  2022-01-15

4.  A comprehensive aerobiological study of the airborne pollen in the Irish environment.

Authors:  Emma Markey; Jerry Hourihane Clancy; Moisés Martínez-Bracero; Jose María Maya-Manzano; Matt Smith; Carsten Skjøth; Paul Dowding; Roland Sarda-Estève; Dominique Baisnée; Aoife Donnelly; Eoin McGillicuddy; Gavin Sewell; David J O'Connor
Journal:  Aerobiologia (Bologna)       Date:  2022-07-28       Impact factor: 2.376

5.  Wind-mediated horseweed (Conyza canadensis) gene flow: pollen emission, dispersion, and deposition.

Authors:  Haiyan Huang; Rongjian Ye; Meilan Qi; Xiangzhen Li; David R Miller; Charles Neal Stewart; David W DuBois; Junming Wang
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  5 in total

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