Laboratory of Diversity and Conservation of Biological Systems, Faculty of Sciences, University Abdelmalek Essaâdi, Mhannech II, Postal Code 2121, Tetouan, Morocco.
Int J Biometeorol. 2013 Mar;57(2):197-205. doi: 10.1007/s00484-012-0566-2. Epub 2012 Jun 29.
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.
禾本科花粉是引起过敏反应的最常见空气过敏原之一。本研究的目的是描述 2008-2010 年在丹吉尔的草花粉季节，分析一些气象参数对空气传播的禾本科花粉发病率的影响，并建立每日花粉浓度的预测变量。使用体积法进行了三个季节的空气生物学采样。花粉季节始于 4 月，5 月和 6 月的花粉指数最高，当时的最高温度分别为 23-27°C。记录的年花粉分数每年在 2588 到 5404 之间变化。主要花粉季节持续 114-173 天，高峰日主要发生在 5 月；最高浓度达到 308 花粉粒/立方米。空气温度是最重要的气象参数，与每日花粉浓度的增加呈正相关。相对湿度和降水量的增加通常与空气中花粉含量的减少有关。使用 2011 年的数据对模型进行外部验证表明，禾本科花粉浓度可以从最高温度、当年同日的平均浓度以及前一天的浓度高度预测（64.2-78.6%）。对禾本科花粉过敏的敏感患者在 33-42 天内表现出过敏症状的中度至最高风险。所获得的结果提供了关于丹吉尔空气传播花粉中禾本科花粉的定量贡献及其时间分布的新信息。可以进行空气传播花粉的调查和预测，以警告过敏人群。
